Overview

Dataset statistics

Number of variables44
Number of observations30
Missing cells209
Missing cells (%)15.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.8 KiB
Average record size in memory367.4 B

Variable types

Numeric7
Categorical11
Unsupported1
DateTime14
Text11

Dataset

Description간암 환자의 나이, 성별, 신장, 체중 등과 같은 기본적인 임상 정보를 확인 가능함. 최초 진단일, 진단 코드 그리고 수술에 대한 정보를 포함 영상 검사, 생체 검사, 그리고 외과 병리 보고서에 대한 데이터를 활용 가능함.
Author가톨릭대학교 서울성모병원
URLhttp://cmcdata.net/data/dataset/liver_cancer_library

Alerts

수술순번 has constant value ""Constant
병리순번 has constant value ""Constant
사망일자 has 11 (36.7%) missing valuesMissing
수축기 has 20 (66.7%) missing valuesMissing
이완기 has 20 (66.7%) missing valuesMissing
영상검사소견 has 6 (20.0%) missing valuesMissing
영상검사결과 has 5 (16.7%) missing valuesMissing
Additionalpathologicfindings has 26 (86.7%) missing valuesMissing
Note has 26 (86.7%) missing valuesMissing
사망일 has 11 (36.7%) missing valuesMissing
주사망원인 has 19 (63.3%) missing valuesMissing
기타사망원인1 has 19 (63.3%) missing valuesMissing
기타사망원인2 has 19 (63.3%) missing valuesMissing
기타사망원인3 has 27 (90.0%) missing valuesMissing
최초시술일 has unique valuesUnique
입원일 has unique valuesUnique
신장측정일 has unique valuesUnique
체중측정일 has unique valuesUnique
영상검사일자 has unique valuesUnique
외부생검시행일 has unique valuesUnique
생검접수일 has unique valuesUnique
생검판독일 has unique valuesUnique
생검결과 has unique valuesUnique
최초진단일 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-10-08 18:58:05.506126
Analysis finished2023-10-08 18:58:06.761774
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

간암진단시나이
Real number (ℝ)

Distinct23
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.466667
Minimum32
Maximum78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-10-09T03:58:06.877592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32
5-th percentile39.8
Q149
median55.5
Q362.75
95-th percentile77.1
Maximum78
Range46
Interquartile range (IQR)13.75

Descriptive statistics

Standard deviation11.810963
Coefficient of variation (CV)0.209167
Kurtosis-0.40471622
Mean56.466667
Median Absolute Deviation (MAD)6.5
Skewness0.1930532
Sum1694
Variance139.49885
MonotonicityNot monotonic
2023-10-09T03:58:07.147411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
49 3
 
10.0%
51 2
 
6.7%
57 2
 
6.7%
61 2
 
6.7%
45 2
 
6.7%
78 2
 
6.7%
53 1
 
3.3%
76 1
 
3.3%
64 1
 
3.3%
70 1
 
3.3%
Other values (13) 13
43.3%
ValueCountFrequency (%)
32 1
 
3.3%
38 1
 
3.3%
42 1
 
3.3%
44 1
 
3.3%
45 2
6.7%
49 3
10.0%
50 1
 
3.3%
51 2
6.7%
53 1
 
3.3%
54 1
 
3.3%
ValueCountFrequency (%)
78 2
6.7%
76 1
3.3%
74 1
3.3%
71 1
3.3%
70 1
3.3%
64 1
3.3%
63 1
3.3%
62 1
3.3%
61 2
6.7%
59 1
3.3%

성별
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
M
19 
F
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowM
2nd rowM
3rd rowF
4th rowM
5th rowM

Common Values

ValueCountFrequency (%)
M 19
63.3%
F 11
36.7%

Length

2023-10-09T03:58:07.407776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-09T03:58:07.596882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
m 19
63.3%
f 11
36.7%

최초진단일
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size372.0 B

최초진단코드
Categorical

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
C220.000.01
10 
C220.444.00
6 
C220.000.02
5 
C221.001.01
4 
C221.001.00
3 
Other values (2)
2 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st rowC220.000.01
2nd rowC220.000.02
3rd rowC220.000.01
4th rowC220.444.00
5th rowC221.002.00

Common Values

ValueCountFrequency (%)
C220.000.01 10
33.3%
C220.444.00 6
20.0%
C220.000.02 5
16.7%
C221.001.01 4
 
13.3%
C221.001.00 3
 
10.0%
C221.002.00 1
 
3.3%
C220.010.01 1
 
3.3%

Length

2023-10-09T03:58:07.753376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-09T03:58:07.947932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
c220.000.01 10
33.3%
c220.444.00 6
20.0%
c220.000.02 5
16.7%
c221.001.01 4
 
13.3%
c221.001.00 3
 
10.0%
c221.002.00 1
 
3.3%
c220.010.01 1
 
3.3%

최초진단명
Categorical

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Hepatocellularcarcinoma
16 
HCC
5 
Cholangioca
4 
Cholangiocarcinoma
3 
Klatskin'stumor
 
1

Length

Max length23
Median length23
Mean length16.8
Min length3

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st rowHepatocellularcarcinoma
2nd rowHCC
3rd rowHepatocellularcarcinoma
4th rowHepatocellularcarcinoma
5th rowKlatskin'stumor

Common Values

ValueCountFrequency (%)
Hepatocellularcarcinoma 16
53.3%
HCC 5
 
16.7%
Cholangioca 4
 
13.3%
Cholangiocarcinoma 3
 
10.0%
Klatskin'stumor 1
 
3.3%
HCCtypeB 1
 
3.3%

Length

2023-10-09T03:58:08.237071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-09T03:58:08.413031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
hepatocellularcarcinoma 16
53.3%
hcc 5
 
16.7%
cholangioca 4
 
13.3%
cholangiocarcinoma 3
 
10.0%
klatskin'stumor 1
 
3.3%
hcctypeb 1
 
3.3%

최초시술일
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2007-03-08 00:00:00
Maximum2019-01-16 00:00:00
2023-10-09T03:58:08.608076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:58:08.806857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

최초수술일
Date

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2009-07-07 00:00:00
Maximum2016-08-23 00:00:00
2023-10-09T03:58:09.354564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:58:09.523405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

최초수술명
Text

Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-10-09T03:58:09.804120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length39
Mean length28.4
Min length11

Characters and Unicode

Total characters852
Distinct characters49
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)73.3%

Sample

1st rowRthepatectomy
2nd rowLt.lat.segmentectomycNon-anatomicalresection,S7
3rd rowRt.hemihepatectomy
4th rowRthepatectomy
5th rowLt.hepatectomycR-Yhepaticojejunostomy(caudatelobectomy)
ValueCountFrequency (%)
rthepatectomy 4
 
13.3%
rt.hemihepatectomy 2
 
6.7%
rt.hepatectomy 2
 
6.7%
lt.hepatectomyc#12lnd&cholecystectomy 1
 
3.3%
liverpartialresection 1
 
3.3%
liverseg.#6segmentectomy 1
 
3.3%
laparoscopicliverwedgeresection(seg#2 1
 
3.3%
lap.lt.lat.sectionectomy 1
 
3.3%
lt.hepatectomy/cholecystectomy 1
 
3.3%
rtlobectomy 1
 
3.3%
Other values (15) 15
50.0%
2023-10-09T03:58:10.340319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 115
13.5%
e 110
12.9%
c 69
 
8.1%
o 64
 
7.5%
a 52
 
6.1%
m 47
 
5.5%
y 43
 
5.0%
h 35
 
4.1%
p 34
 
4.0%
i 34
 
4.0%
Other values (39) 249
29.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 748
87.8%
Uppercase Letter 49
 
5.8%
Other Punctuation 37
 
4.3%
Decimal Number 8
 
0.9%
Open Punctuation 4
 
0.5%
Close Punctuation 4
 
0.5%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 115
15.4%
e 110
14.7%
c 69
9.2%
o 64
8.6%
a 52
 
7.0%
m 47
 
6.3%
y 43
 
5.7%
h 35
 
4.7%
p 34
 
4.5%
i 34
 
4.5%
Other values (13) 145
19.4%
Uppercase Letter
ValueCountFrequency (%)
L 18
36.7%
R 14
28.6%
S 3
 
6.1%
N 3
 
6.1%
D 2
 
4.1%
T 2
 
4.1%
E 2
 
4.1%
P 1
 
2.0%
A 1
 
2.0%
C 1
 
2.0%
Other values (2) 2
 
4.1%
Decimal Number
ValueCountFrequency (%)
6 2
25.0%
2 2
25.0%
3 1
12.5%
1 1
12.5%
7 1
12.5%
4 1
12.5%
Other Punctuation
ValueCountFrequency (%)
. 27
73.0%
# 6
 
16.2%
, 2
 
5.4%
/ 1
 
2.7%
& 1
 
2.7%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 797
93.5%
Common 55
 
6.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 115
14.4%
e 110
13.8%
c 69
 
8.7%
o 64
 
8.0%
a 52
 
6.5%
m 47
 
5.9%
y 43
 
5.4%
h 35
 
4.4%
p 34
 
4.3%
i 34
 
4.3%
Other values (25) 194
24.3%
Common
ValueCountFrequency (%)
. 27
49.1%
# 6
 
10.9%
( 4
 
7.3%
) 4
 
7.3%
6 2
 
3.6%
2 2
 
3.6%
, 2
 
3.6%
- 2
 
3.6%
/ 1
 
1.8%
& 1
 
1.8%
Other values (4) 4
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 852
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 115
13.5%
e 110
12.9%
c 69
 
8.1%
o 64
 
7.5%
a 52
 
6.1%
m 47
 
5.5%
y 43
 
5.0%
h 35
 
4.1%
p 34
 
4.0%
i 34
 
4.0%
Other values (39) 249
29.2%

사망일자
Date

MISSING 

Distinct19
Distinct (%)100.0%
Missing11
Missing (%)36.7%
Memory size372.0 B
Minimum2009-07-19 00:00:00
Maximum2019-02-09 00:00:00
2023-10-09T03:58:10.574888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:58:10.744821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

입원일
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2008-10-21 00:00:00
Maximum2017-07-12 00:00:00
2023-10-09T03:58:10.930380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:58:11.107907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

신장측정일
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2008-10-21 00:00:00
Maximum2016-08-23 00:00:00
2023-10-09T03:58:11.282151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:58:11.427761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

신장
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean163.6
Minimum151
Maximum177.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-10-09T03:58:11.597605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum151
5-th percentile152.36
Q1157.325
median163.1
Q3168.95
95-th percentile175.63
Maximum177.3
Range26.3
Interquartile range (IQR)11.625

Descriptive statistics

Standard deviation7.6022229
Coefficient of variation (CV)0.046468355
Kurtosis-1.1047666
Mean163.6
Median Absolute Deviation (MAD)5.85
Skewness0.081007761
Sum4908
Variance57.793793
MonotonicityNot monotonic
2023-10-09T03:58:11.810278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
168.4 2
 
6.7%
177.3 1
 
3.3%
172.5 1
 
3.3%
154.4 1
 
3.3%
152.8 1
 
3.3%
162.1 1
 
3.3%
152.0 1
 
3.3%
158.5 1
 
3.3%
160.7 1
 
3.3%
155.9 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
151.0 1
3.3%
152.0 1
3.3%
152.8 1
3.3%
154.4 1
3.3%
155.6 1
3.3%
155.9 1
3.3%
157.0 1
3.3%
157.3 1
3.3%
157.4 1
3.3%
157.8 1
3.3%
ValueCountFrequency (%)
177.3 1
3.3%
176.8 1
3.3%
174.2 1
3.3%
172.5 1
3.3%
172.0 1
3.3%
170.8 1
3.3%
170.0 1
3.3%
169.0 1
3.3%
168.8 1
3.3%
168.4 2
6.7%

체중측정일
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2008-10-21 00:00:00
Maximum2016-08-23 00:00:00
2023-10-09T03:58:11.995287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:58:12.187131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

체중
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.496667
Minimum51.25
Maximum84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-10-09T03:58:12.392306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51.25
5-th percentile52.5175
Q155.5125
median63.5
Q374.5875
95-th percentile81.455
Maximum84
Range32.75
Interquartile range (IQR)19.075

Descriptive statistics

Standard deviation10.294893
Coefficient of variation (CV)0.15718193
Kurtosis-1.3953643
Mean65.496667
Median Absolute Deviation (MAD)9.6
Skewness0.17855056
Sum1964.9
Variance105.98482
MonotonicityNot monotonic
2023-10-09T03:58:12.576950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
75.3 2
 
6.7%
81.5 1
 
3.3%
73.5 1
 
3.3%
74.95 1
 
3.3%
77.2 1
 
3.3%
70.85 1
 
3.3%
56.15 1
 
3.3%
53.8 1
 
3.3%
69.45 1
 
3.3%
71.95 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
51.25 1
3.3%
52.0 1
3.3%
53.15 1
3.3%
53.7 1
3.3%
53.8 1
3.3%
54.0 1
3.3%
54.6 1
3.3%
55.3 1
3.3%
56.15 1
3.3%
57.4 1
3.3%
ValueCountFrequency (%)
84.0 1
3.3%
81.5 1
3.3%
81.4 1
3.3%
77.2 1
3.3%
76.75 1
3.3%
75.3 2
6.7%
74.95 1
3.3%
73.5 1
3.3%
73.3 1
3.3%
71.95 1
3.3%

BMI
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.57
Minimum18.2
Maximum33.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-10-09T03:58:12.884126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18.2
5-th percentile19.005
Q121.575
median24.8
Q326.875
95-th percentile30.34
Maximum33.4
Range15.2
Interquartile range (IQR)5.3

Descriptive statistics

Standard deviation3.6745302
Coefficient of variation (CV)0.14955353
Kurtosis-0.087470511
Mean24.57
Median Absolute Deviation (MAD)2.85
Skewness0.33950411
Sum737.1
Variance13.502172
MonotonicityNot monotonic
2023-10-09T03:58:13.137902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
28.3 2
 
6.7%
21.5 2
 
6.7%
26.0 1
 
3.3%
25.4 1
 
3.3%
31.6 1
 
3.3%
33.4 1
 
3.3%
26.9 1
 
3.3%
24.3 1
 
3.3%
24.6 1
 
3.3%
28.1 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
18.2 1
3.3%
18.6 1
3.3%
19.5 1
3.3%
20.4 1
3.3%
21.0 1
3.3%
21.3 1
3.3%
21.5 2
6.7%
21.8 1
3.3%
22.1 1
3.3%
22.6 1
3.3%
ValueCountFrequency (%)
33.4 1
3.3%
31.6 1
3.3%
28.8 1
3.3%
28.3 2
6.7%
28.1 1
3.3%
27.5 1
3.3%
26.9 1
3.3%
26.8 1
3.3%
26.0 1
3.3%
25.7 1
3.3%

수축기
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)90.0%
Missing20
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean134.4
Minimum114
Maximum163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-10-09T03:58:13.304286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum114
5-th percentile116.7
Q1129.25
median130.5
Q3137.75
95-th percentile158.05
Maximum163
Range49
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation14.338759
Coefficient of variation (CV)0.10668719
Kurtosis0.73684991
Mean134.4
Median Absolute Deviation (MAD)7
Skewness0.80405725
Sum1344
Variance205.6
MonotonicityNot monotonic
2023-10-09T03:58:13.423070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
130 2
 
6.7%
120 1
 
3.3%
129 1
 
3.3%
137 1
 
3.3%
163 1
 
3.3%
114 1
 
3.3%
138 1
 
3.3%
131 1
 
3.3%
152 1
 
3.3%
(Missing) 20
66.7%
ValueCountFrequency (%)
114 1
3.3%
120 1
3.3%
129 1
3.3%
130 2
6.7%
131 1
3.3%
137 1
3.3%
138 1
3.3%
152 1
3.3%
163 1
3.3%
ValueCountFrequency (%)
163 1
3.3%
152 1
3.3%
138 1
3.3%
137 1
3.3%
131 1
3.3%
130 2
6.7%
129 1
3.3%
120 1
3.3%
114 1
3.3%

이완기
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)90.0%
Missing20
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean77.3
Minimum53
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-10-09T03:58:13.549589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53
5-th percentile59.75
Q171
median75
Q388
95-th percentile93.2
Maximum95
Range42
Interquartile range (IQR)17

Descriptive statistics

Standard deviation12.763228
Coefficient of variation (CV)0.16511292
Kurtosis-0.10304512
Mean77.3
Median Absolute Deviation (MAD)8.5
Skewness-0.36852756
Sum773
Variance162.9
MonotonicityNot monotonic
2023-10-09T03:58:13.661937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
71 2
 
6.7%
95 1
 
3.3%
76 1
 
3.3%
68 1
 
3.3%
53 1
 
3.3%
91 1
 
3.3%
85 1
 
3.3%
89 1
 
3.3%
74 1
 
3.3%
(Missing) 20
66.7%
ValueCountFrequency (%)
53 1
3.3%
68 1
3.3%
71 2
6.7%
74 1
3.3%
76 1
3.3%
85 1
3.3%
89 1
3.3%
91 1
3.3%
95 1
3.3%
ValueCountFrequency (%)
95 1
3.3%
91 1
3.3%
89 1
3.3%
85 1
3.3%
76 1
3.3%
74 1
3.3%
71 2
6.7%
68 1
3.3%
53 1
3.3%

영상검사일자
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2006-03-20 00:00:00
Maximum2016-08-17 00:00:00
2023-10-09T03:58:13.783163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:58:13.925555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

영상검사종류
Real number (ℝ)

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.966667
Minimum3
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-10-09T03:58:14.092721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q15
median6
Q36
95-th percentile59.4
Maximum99
Range96
Interquartile range (IQR)1

Descriptive statistics

Standard deviation23.711605
Coefficient of variation (CV)1.9814712
Kurtosis12.069211
Mean11.966667
Median Absolute Deviation (MAD)0
Skewness3.6320101
Sum359
Variance562.24023
MonotonicityNot monotonic
2023-10-09T03:58:14.545970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 16
53.3%
5 7
23.3%
3 3
 
10.0%
99 2
 
6.7%
11 1
 
3.3%
10 1
 
3.3%
ValueCountFrequency (%)
3 3
 
10.0%
5 7
23.3%
6 16
53.3%
10 1
 
3.3%
11 1
 
3.3%
99 2
 
6.7%
ValueCountFrequency (%)
99 2
 
6.7%
11 1
 
3.3%
10 1
 
3.3%
6 16
53.3%
5 7
23.3%
3 3
 
10.0%

영상검사명
Text

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-10-09T03:58:14.784891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length31
Mean length27.233333
Min length10

Characters and Unicode

Total characters817
Distinct characters67
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)36.7%

Sample

1st rowMRILiverPrimovist(enhance)
2nd rowCTChest(Lungmediastinum)(enhance)
3rd rowCTChest(Lungmediastinum)(enhance)
4th rowSono비정규2D추적검사(1주-1개월사이반복검사)
5th rowCTBiliary,Pancreas(enhance)
ValueCountFrequency (%)
mriliverprimovist(enhance 4
13.3%
응급]ctchest(lungmediastinum)(enhance 3
 
10.0%
ctliver,spleen,pancreas(enhance 3
 
10.0%
ctchest(lungmediastinum)(enhance 3
 
10.0%
ctliverphase3dynamic(enhance 2
 
6.7%
응급]mriliverprimovist(enhance 2
 
6.7%
liverfibroscan 2
 
6.7%
ctbiliary,pancreas(enhance 1
 
3.3%
bonescan/wb(hdp 1
 
3.3%
응급]ctreadingoutsidefilms(abdomen 1
 
3.3%
Other values (8) 8
26.7%
2023-10-09T03:58:15.169863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 92
 
11.3%
n 76
 
9.3%
i 54
 
6.6%
a 50
 
6.1%
c 33
 
4.0%
r 32
 
3.9%
) 32
 
3.9%
( 32
 
3.9%
s 31
 
3.8%
h 30
 
3.7%
Other values (57) 355
43.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 549
67.2%
Uppercase Letter 131
 
16.0%
Close Punctuation 40
 
4.9%
Open Punctuation 40
 
4.9%
Other Letter 40
 
4.9%
Other Punctuation 8
 
1.0%
Decimal Number 7
 
0.9%
Math Symbol 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 92
16.8%
n 76
13.8%
i 54
9.8%
a 50
9.1%
c 33
 
6.0%
r 32
 
5.8%
s 31
 
5.6%
h 30
 
5.5%
m 26
 
4.7%
v 22
 
4.0%
Other values (10) 103
18.8%
Other Letter
ValueCountFrequency (%)
급 8
20.0%
응 8
20.0%
사 4
10.0%
검 3
 
7.5%
정 2
 
5.0%
규 2
 
5.0%
이 1
 
2.5%
반 1
 
2.5%
복 1
 
2.5%
개 1
 
2.5%
Other values (9) 9
22.5%
Uppercase Letter
ValueCountFrequency (%)
C 24
18.3%
L 22
16.8%
T 19
14.5%
P 14
10.7%
S 10
7.6%
R 10
7.6%
M 8
 
6.1%
I 7
 
5.3%
B 4
 
3.1%
D 3
 
2.3%
Other values (7) 10
7.6%
Decimal Number
ValueCountFrequency (%)
3 3
42.9%
1 2
28.6%
2 2
28.6%
Close Punctuation
ValueCountFrequency (%)
) 32
80.0%
] 8
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 32
80.0%
[ 8
 
20.0%
Other Punctuation
ValueCountFrequency (%)
, 7
87.5%
/ 1
 
12.5%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 680
83.2%
Common 97
 
11.9%
Hangul 40
 
4.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 92
 
13.5%
n 76
 
11.2%
i 54
 
7.9%
a 50
 
7.4%
c 33
 
4.9%
r 32
 
4.7%
s 31
 
4.6%
h 30
 
4.4%
m 26
 
3.8%
C 24
 
3.5%
Other values (27) 232
34.1%
Hangul
ValueCountFrequency (%)
급 8
20.0%
응 8
20.0%
사 4
10.0%
검 3
 
7.5%
정 2
 
5.0%
규 2
 
5.0%
이 1
 
2.5%
반 1
 
2.5%
복 1
 
2.5%
개 1
 
2.5%
Other values (9) 9
22.5%
Common
ValueCountFrequency (%)
) 32
33.0%
( 32
33.0%
] 8
 
8.2%
[ 8
 
8.2%
, 7
 
7.2%
3 3
 
3.1%
1 2
 
2.1%
2 2
 
2.1%
+ 1
 
1.0%
/ 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 777
95.1%
Hangul 40
 
4.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 92
 
11.8%
n 76
 
9.8%
i 54
 
6.9%
a 50
 
6.4%
c 33
 
4.2%
r 32
 
4.1%
) 32
 
4.1%
( 32
 
4.1%
s 31
 
4.0%
h 30
 
3.9%
Other values (38) 315
40.5%
Hangul
ValueCountFrequency (%)
급 8
20.0%
응 8
20.0%
사 4
10.0%
검 3
 
7.5%
정 2
 
5.0%
규 2
 
5.0%
이 1
 
2.5%
반 1
 
2.5%
복 1
 
2.5%
개 1
 
2.5%
Other values (9) 9
22.5%

영상검사소견
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing6
Missing (%)20.0%
Memory size372.0 B
2023-10-09T03:58:15.419741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length730
Median length315.5
Mean length314.66667
Min length29

Characters and Unicode

Total characters7552
Distinct characters198
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row HepaticdomeS8에약2.3cmsize의T2slightlyhighT1lowsignalintensity의mass가있음. DynamicenhancedT1WI에서mass는earlyarterialenhancement를보이고mass의margin에liverparenchymalenhancement가wedgeshape으로동반되어있음. Hepatobiliaryphase에서mass는lowsignalintensity의defect로보임. S6hepaticangleportion에arterialphase에서wedgeshape의enhancement가있으나다른phase에서는모두isosignalintensity로보여focalAPshunt소견으로생각이됨. Otherwiseunremarkable.
2nd rowClinicalHx.:R/OHCC InitialchestCT. 1.Twodensecalcifiednodules,lessthan1.1cm,inRULanteriorsegment. ->suggestingcalcifiedTBgranulomas. 2.SomefibroticTBscarsinbothapices. 3.TwolargedenlargedeenhancingLNsinrightcardiophrenicangle. :R/OmetastaticparacardiacLNs. :DDx.reactiveLAPs. Otherwiseunremarkable.
3rd rowClinicalinformation:HCC(B),initialevaluation. InitialchestCTatourhospital.
4th rowAnabout3x3.5cmsizedilldefinedslightlylobulatedlowdensitymassatthehilarportionandS4. DiffuselydilatedbothIHBDsarenoted.ThismassinvolvesCHDandLtmainIHBD. AenlargedLAPattheportahepatisisseen. Otherwiseunremarkable.
5th rowMarginalandlinearhotuptakeareasarenotedinlowerlumbarvertebrae. Periarticularareasofbilateralshoulders,elbows,wrists,kneesandanklesshowincreasedactivity. Bothkidneysshowdiffuselyincreaseduptake. TheuptakeratioofR/Lshoulderis1.0510. Otherwiseunremarkable.
ValueCountFrequency (%)
otherwiseunremarkable 9
 
6.7%
2014-9-22ct와2014-9-30외부병원mrimage와비교함 1
 
0.7%
hcc에맞는소견으로보이며그외에equilibriumphase에서cirrhosisrelatedsmallnodule들이여러개보이며일부t1-weightedimage에서highsignalintensity로보이는dysplasticnodule들도보이고있음 1
 
0.7%
검사직전에측정한환자의혈당치는119mg/dl,신장162cm,체중70kg이었고,f-18fdg9mci를lt.elbow에정맥주사하고1시간후에orbitomeatalline에서proximalthigh까지의torso영상을얻음 1
 
0.7%
procedure 1
 
0.7%
comparedtothepreviousmridatedon201-9-17,nointervalchangeofsmalllowsinodulesats6ands2ofliver.theselesionsdonotshowarterialenhancement 1
 
0.7%
2.2cmsizedviablehccshowingt2highsiandt1lowsignalwithenhancmentinarterialphaseandwashoutindelyedphaseisnoted 1
 
0.7%
comparedtothepreviousctdatedon2013-4-3 1
 
0.7%
thisnoduleshowsdiffusionrestriction 1
 
0.7%
thisnoduleshowsarterialenhancementanddelayedwashoutpatternofenhancement,andappearstobeenhancingdefectinthehbp 1
 
0.7%
Other values (116) 116
86.6%
2023-10-09T03:58:15.782558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 658
 
8.7%
i 521
 
6.9%
a 515
 
6.8%
n 472
 
6.2%
t 441
 
5.8%
o 368
 
4.9%
s 358
 
4.7%
l 352
 
4.7%
r 341
 
4.5%
h 227
 
3.0%
Other values (188) 3299
43.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5718
75.7%
Other Letter 771
 
10.2%
Uppercase Letter 388
 
5.1%
Other Punctuation 241
 
3.2%
Decimal Number 218
 
2.9%
Control 163
 
2.2%
Dash Punctuation 30
 
0.4%
Open Punctuation 9
 
0.1%
Close Punctuation 9
 
0.1%
Math Symbol 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
에 72
 
9.3%
이 50
 
6.5%
있 39
 
5.1%
는 36
 
4.7%
음 36
 
4.7%
보 30
 
3.9%
의 27
 
3.5%
서 26
 
3.4%
로 25
 
3.2%
고 20
 
2.6%
Other values (120) 410
53.2%
Lowercase Letter
ValueCountFrequency (%)
e 658
11.5%
i 521
 
9.1%
a 515
 
9.0%
n 472
 
8.3%
t 441
 
7.7%
o 368
 
6.4%
s 358
 
6.3%
l 352
 
6.2%
r 341
 
6.0%
h 227
 
4.0%
Other values (16) 1465
25.6%
Uppercase Letter
ValueCountFrequency (%)
C 45
11.6%
T 37
 
9.5%
S 34
 
8.8%
R 33
 
8.5%
L 32
 
8.2%
I 26
 
6.7%
A 24
 
6.2%
H 21
 
5.4%
D 20
 
5.2%
B 18
 
4.6%
Other values (11) 98
25.3%
Decimal Number
ValueCountFrequency (%)
1 47
21.6%
2 43
19.7%
0 25
11.5%
3 23
10.6%
5 19
8.7%
8 18
 
8.3%
6 16
 
7.3%
7 10
 
4.6%
4 9
 
4.1%
9 8
 
3.7%
Other Punctuation
ValueCountFrequency (%)
. 170
70.5%
, 41
 
17.0%
/ 15
 
6.2%
: 14
 
5.8%
& 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
< 3
60.0%
> 2
40.0%
Control
ValueCountFrequency (%)
163
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6106
80.9%
Hangul 771
 
10.2%
Common 675
 
8.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
에 72
 
9.3%
이 50
 
6.5%
있 39
 
5.1%
는 36
 
4.7%
음 36
 
4.7%
보 30
 
3.9%
의 27
 
3.5%
서 26
 
3.4%
로 25
 
3.2%
고 20
 
2.6%
Other values (120) 410
53.2%
Latin
ValueCountFrequency (%)
e 658
 
10.8%
i 521
 
8.5%
a 515
 
8.4%
n 472
 
7.7%
t 441
 
7.2%
o 368
 
6.0%
s 358
 
5.9%
l 352
 
5.8%
r 341
 
5.6%
h 227
 
3.7%
Other values (37) 1853
30.3%
Common
ValueCountFrequency (%)
. 170
25.2%
163
24.1%
1 47
 
7.0%
2 43
 
6.4%
, 41
 
6.1%
- 30
 
4.4%
0 25
 
3.7%
3 23
 
3.4%
5 19
 
2.8%
8 18
 
2.7%
Other values (11) 96
14.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6781
89.8%
Hangul 771
 
10.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 658
 
9.7%
i 521
 
7.7%
a 515
 
7.6%
n 472
 
7.0%
t 441
 
6.5%
o 368
 
5.4%
s 358
 
5.3%
l 352
 
5.2%
r 341
 
5.0%
h 227
 
3.3%
Other values (58) 2528
37.3%
Hangul
ValueCountFrequency (%)
에 72
 
9.3%
이 50
 
6.5%
있 39
 
5.1%
는 36
 
4.7%
음 36
 
4.7%
보 30
 
3.9%
의 27
 
3.5%
서 26
 
3.4%
로 25
 
3.2%
고 20
 
2.6%
Other values (120) 410
53.2%

영상검사결과
Text

MISSING 

Distinct25
Distinct (%)100.0%
Missing5
Missing (%)16.7%
Memory size372.0 B
2023-10-09T03:58:16.187267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length426
Median length136
Mean length156.76
Min length9

Characters and Unicode

Total characters3919
Distinct characters119
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row Anabout2.3cmsizedarterialenhancingmassatthehepaticdomeofS8,suggestingsmallHCC.
2nd rowR/OmetastaticparacardiacLNs.
3rd row1.Minimalfibrosisandseveralnoduleswith/withoutcalcificationsinBULs. Someclustersofcentrilobularnodulesand/orGGOsintheposteriorsegmentofRULandthemedialsegmentofRML. Peribronchialconsolidation/GGOinlingula. :R/ONTMinfection.DD.R/OfocalpneumoniawithunderlyingmildNTM 2.Nodefinitemetastaticnodulesinbothlungs. 3.SeveralmildlyenlargedLNsinthemediastinum. :Probabaly,reativehyperplasia. *RefertorecentliverCTforabdominalregion.
4th row Anabout3x3.5cmsizedhilarcholangiocarcinomainvolvingCHDandLtIHBD. AenlargedLAPattheportahepatis.
5th rowCTshowsafewmicronodules(indicatedwithlineshadows)whicharenonspecificbutpossiblyrepresentingabenigncausesuchasintrapulmonarylymphnodes. Theotherareasofthechestareessentiallyunremarkable.
ValueCountFrequency (%)
rec 3
 
3.6%
anabout2.3cmsizedarterialenhancingmassatthehepaticdomeofs8,suggestingsmallhcc 1
 
1.2%
ddx.nodularhyperplasia 1
 
1.2%
4.possiblyfocalphysiologicactivityinlt.sidedprostategland 1
 
1.2%
3.morelikely,reactivenodesinmediastinum(4b,5),bothbothinterlobar/peribronchialareas,bothsubmandibularareas,rt.parotidspace 1
 
1.2%
2.nodefiniteevidenceofmetastasis 1
 
1.2%
1.fdg-avidmalignanttumorinhepatics2 1
 
1.2%
littleintervalchangeofdysplasticnodulesats2ands6 1
 
1.2%
about2.2cmsizedviablehccats6 1
 
1.2%
ahccins3 1
 
1.2%
Other values (72) 72
85.7%
2023-10-09T03:58:16.703992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 317
 
8.1%
i 311
 
7.9%
a 290
 
7.4%
t 246
 
6.3%
n 237
 
6.0%
o 222
 
5.7%
s 214
 
5.5%
l 203
 
5.2%
r 186
 
4.7%
c 139
 
3.5%
Other values (109) 1554
39.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3152
80.4%
Uppercase Letter 282
 
7.2%
Other Punctuation 161
 
4.1%
Decimal Number 108
 
2.8%
Control 103
 
2.6%
Other Letter 88
 
2.2%
Close Punctuation 11
 
0.3%
Dash Punctuation 9
 
0.2%
Open Punctuation 4
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 7
 
8.0%
보 5
 
5.7%
서 5
 
5.7%
로 4
 
4.5%
는 4
 
4.5%
에 4
 
4.5%
의 3
 
3.4%
으 3
 
3.4%
양 2
 
2.3%
오 2
 
2.3%
Other values (42) 49
55.7%
Lowercase Letter
ValueCountFrequency (%)
e 317
10.1%
i 311
 
9.9%
a 290
 
9.2%
t 246
 
7.8%
n 237
 
7.5%
o 222
 
7.0%
s 214
 
6.8%
l 203
 
6.4%
r 186
 
5.9%
c 139
 
4.4%
Other values (15) 787
25.0%
Uppercase Letter
ValueCountFrequency (%)
C 36
12.8%
L 28
9.9%
S 27
9.6%
R 24
 
8.5%
A 23
 
8.2%
D 18
 
6.4%
N 17
 
6.0%
H 17
 
6.0%
P 14
 
5.0%
G 13
 
4.6%
Other values (10) 65
23.0%
Decimal Number
ValueCountFrequency (%)
2 24
22.2%
1 20
18.5%
3 17
15.7%
5 10
9.3%
4 9
 
8.3%
6 8
 
7.4%
8 8
 
7.4%
0 6
 
5.6%
7 4
 
3.7%
9 2
 
1.9%
Other Punctuation
ValueCountFrequency (%)
. 123
76.4%
, 17
 
10.6%
/ 13
 
8.1%
: 4
 
2.5%
; 2
 
1.2%
' 1
 
0.6%
* 1
 
0.6%
Control
ValueCountFrequency (%)
103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Math Symbol
ValueCountFrequency (%)
> 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3434
87.6%
Common 397
 
10.1%
Hangul 88
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 7
 
8.0%
보 5
 
5.7%
서 5
 
5.7%
로 4
 
4.5%
는 4
 
4.5%
에 4
 
4.5%
의 3
 
3.4%
으 3
 
3.4%
양 2
 
2.3%
오 2
 
2.3%
Other values (42) 49
55.7%
Latin
ValueCountFrequency (%)
e 317
 
9.2%
i 311
 
9.1%
a 290
 
8.4%
t 246
 
7.2%
n 237
 
6.9%
o 222
 
6.5%
s 214
 
6.2%
l 203
 
5.9%
r 186
 
5.4%
c 139
 
4.0%
Other values (35) 1069
31.1%
Common
ValueCountFrequency (%)
. 123
31.0%
103
25.9%
2 24
 
6.0%
1 20
 
5.0%
, 17
 
4.3%
3 17
 
4.3%
/ 13
 
3.3%
) 11
 
2.8%
5 10
 
2.5%
- 9
 
2.3%
Other values (12) 50
12.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3831
97.8%
Hangul 88
 
2.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 317
 
8.3%
i 311
 
8.1%
a 290
 
7.6%
t 246
 
6.4%
n 237
 
6.2%
o 222
 
5.8%
s 214
 
5.6%
l 203
 
5.3%
r 186
 
4.9%
c 139
 
3.6%
Other values (57) 1466
38.3%
Hangul
ValueCountFrequency (%)
이 7
 
8.0%
보 5
 
5.7%
서 5
 
5.7%
로 4
 
4.5%
는 4
 
4.5%
에 4
 
4.5%
의 3
 
3.4%
으 3
 
3.4%
양 2
 
2.3%
오 2
 
2.3%
Other values (42) 49
55.7%

외부생검시행일
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2005-11-17 00:00:00
Maximum2017-04-05 00:00:00
2023-10-09T03:58:16.851791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:58:16.994906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

생검접수일
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2005-11-17 00:00:00
Maximum2017-04-05 00:00:00
2023-10-09T03:58:17.126126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:58:17.264574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

생검판독일
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2005-11-21 00:00:00
Maximum2017-04-11 00:00:00
2023-10-09T03:58:17.458635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:58:17.605971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

생검결과
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-10-09T03:58:17.821179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1021
Median length206.5
Mean length308
Min length74

Characters and Unicode

Total characters9240
Distinct characters126
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st rowTwolinearshapedtanbrowntissuefragments,measuringupto1.0x0.2cm,aretotallyembedded.Liver,`tumor`,biopsy; Hepatocellularcarcinoma,gradeIIbyEdmonsonandSteiner.
2nd rowThreelinearshapedtanbrowntissuefragments,upto1.2x0.1cm,aretotallyembedded.Liver,needlebiopsy; 1.Focalnecroticarea,suggestiveofHepatocellularcarcinoma. 2.Chronichepatitis withmildlobularactivity, withmoderateporto-periportalactivity, withcirrhosis, withcholestasis.
3rd rowTwolinearshapedtanbrowntissuefragments,upto1.5x0.1cm,aretotallyembedded.Liver,needlebiopsy; Hepatocellularcarcinoma,gradeIIbyEdmondson&Steiner.
4th rowGrossdescription G1;three,G2;one,G3;one - Diagnosis Regenerativefoveolarepithelium,fundic(G1&G2)andpyloric(G3)glandmucosa. -
5th rowTwolinearshapedtanbrowntissuefragments,0.2x0.1cm,aretotallyembedded.Liver,needlebiopsy; Reactivehepatocyteswithcholestasis.Nomalignantcellisfoundinthisspecimenmicroscopically.
ValueCountFrequency (%)
7
 
3.3%
diagnosis 4
 
1.9%
histologyactivityindexbykoreansocietyofpathology 4
 
1.9%
i.periportal+/-bridgingnecrosis 4
 
1.9%
iii.portalinflammation 4
 
1.9%
iv.fibrosis 4
 
1.9%
iii.staging(fibrosis 4
 
1.9%
withcirrhosis 3
 
1.4%
grossdescription 3
 
1.4%
1;mild(sprinklingofinflammatorycellsin<1/3ofportaltracts 3
 
1.4%
Other values (142) 169
80.9%
2023-10-09T03:58:18.163154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 776
 
8.4%
i 670
 
7.3%
o 635
 
6.9%
a 615
 
6.7%
t 569
 
6.2%
r 530
 
5.7%
n 500
 
5.4%
l 463
 
5.0%
s 420
 
4.5%
d 328
 
3.5%
Other values (116) 3734
40.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7407
80.2%
Other Punctuation 522
 
5.6%
Uppercase Letter 418
 
4.5%
Decimal Number 315
 
3.4%
Control 204
 
2.2%
Other Letter 116
 
1.3%
Close Punctuation 105
 
1.1%
Open Punctuation 76
 
0.8%
Dash Punctuation 36
 
0.4%
Math Symbol 25
 
0.3%
Other values (2) 16
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 7
 
6.0%
니 6
 
5.2%
다 6
 
5.2%
은 6
 
5.2%
견 5
 
4.3%
습 5
 
4.3%
배 4
 
3.4%
로 4
 
3.4%
교 4
 
3.4%
님 3
 
2.6%
Other values (44) 66
56.9%
Lowercase Letter
ValueCountFrequency (%)
e 776
10.5%
i 670
 
9.0%
o 635
 
8.6%
a 615
 
8.3%
t 569
 
7.7%
r 530
 
7.2%
n 500
 
6.8%
l 463
 
6.3%
s 420
 
5.7%
d 328
 
4.4%
Other values (15) 1901
25.7%
Uppercase Letter
ValueCountFrequency (%)
I 97
23.2%
T 35
 
8.4%
S 34
 
8.1%
L 33
 
7.9%
M 31
 
7.4%
A 31
 
7.4%
H 29
 
6.9%
P 23
 
5.5%
C 19
 
4.5%
N 15
 
3.6%
Other values (8) 71
17.0%
Decimal Number
ValueCountFrequency (%)
1 118
37.5%
0 78
24.8%
2 54
17.1%
3 25
 
7.9%
5 14
 
4.4%
4 11
 
3.5%
6 6
 
1.9%
8 5
 
1.6%
9 2
 
0.6%
7 2
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 205
39.3%
, 156
29.9%
; 78
 
14.9%
/ 25
 
4.8%
# 20
 
3.8%
… 18
 
3.4%
& 14
 
2.7%
% 4
 
0.8%
* 2
 
0.4%
Math Symbol
ValueCountFrequency (%)
< 8
32.0%
= 7
28.0%
+ 6
24.0%
> 4
16.0%
Control
ValueCountFrequency (%)
204
100.0%
Close Punctuation
ValueCountFrequency (%)
) 105
100.0%
Open Punctuation
ValueCountFrequency (%)
( 76
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 15
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7826
84.7%
Common 1298
 
14.0%
Hangul 116
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 7
 
6.0%
니 6
 
5.2%
다 6
 
5.2%
은 6
 
5.2%
견 5
 
4.3%
습 5
 
4.3%
배 4
 
3.4%
로 4
 
3.4%
교 4
 
3.4%
님 3
 
2.6%
Other values (44) 66
56.9%
Latin
ValueCountFrequency (%)
e 776
 
9.9%
i 670
 
8.6%
o 635
 
8.1%
a 615
 
7.9%
t 569
 
7.3%
r 530
 
6.8%
n 500
 
6.4%
l 463
 
5.9%
s 420
 
5.4%
d 328
 
4.2%
Other values (34) 2320
29.6%
Common
ValueCountFrequency (%)
. 205
15.8%
204
15.7%
, 156
12.0%
1 118
9.1%
) 105
8.1%
0 78
 
6.0%
; 78
 
6.0%
( 76
 
5.9%
2 54
 
4.2%
- 36
 
2.8%
Other values (18) 188
14.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9105
98.5%
Hangul 116
 
1.3%
Punctuation 18
 
0.2%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 776
 
8.5%
i 670
 
7.4%
o 635
 
7.0%
a 615
 
6.8%
t 569
 
6.2%
r 530
 
5.8%
n 500
 
5.5%
l 463
 
5.1%
s 420
 
4.6%
d 328
 
3.6%
Other values (60) 3599
39.5%
Punctuation
ValueCountFrequency (%)
… 18
100.0%
Hangul
ValueCountFrequency (%)
의 7
 
6.0%
니 6
 
5.2%
다 6
 
5.2%
은 6
 
5.2%
견 5
 
4.3%
습 5
 
4.3%
배 4
 
3.4%
로 4
 
3.4%
교 4
 
3.4%
님 3
 
2.6%
Other values (44) 66
56.9%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

수술일
Date

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2009-07-07 00:00:00
Maximum2016-08-23 00:00:00
2023-10-09T03:58:18.319610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:58:18.443238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

수술순번
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 30
100.0%

Length

2023-10-09T03:58:18.564782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-09T03:58:18.662399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 30
100.0%

수술명
Categorical

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
HepatectomyLobectomy[주수술]
12 
HepatectomyLobectomy[주수술100%]
3 
HepatectomyWedgeResection[주수술]
3 
HepatctomyLobectomy[주수술]
3 
HepatectomySegmentectomy[주수술]
2 
Other values (6)
7 

Length

Max length36
Median length34
Mean length27.433333
Min length23

Unique

Unique5 ?
Unique (%)16.7%

Sample

1st rowHepatectomyLobectomy[주수술]
2nd rowHepatectomySegmentectomy[주수술]
3rd rowHepatectomyLobectomy[주수술100%]
4th rowHepatectomyLobectomy[주수술]
5th rowHepatectomyLobectomy[주수술]

Common Values

ValueCountFrequency (%)
HepatectomyLobectomy[주수술] 12
40.0%
HepatectomyLobectomy[주수술100%] 3
 
10.0%
HepatectomyWedgeResection[주수술] 3
 
10.0%
HepatctomyLobectomy[주수술] 3
 
10.0%
HepatectomySegmentectomy[주수술] 2
 
6.7%
HepatectomySegmentectomy[주수술100%] 2
 
6.7%
HepatectomyTrisegmentectomy[주수술100%] 1
 
3.3%
HepatectomyWedgeResection[제2의수술] 1
 
3.3%
HepatectomyWedgeResection[주수술100%] 1
 
3.3%
HepatectomyWedgeResection 1
 
3.3%

Length

2023-10-09T03:58:18.790667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
hepatectomylobectomy[주수술 12
40.0%
hepatectomylobectomy[주수술100 3
 
10.0%
hepatectomywedgeresection[주수술 3
 
10.0%
hepatctomylobectomy[주수술 3
 
10.0%
hepatectomysegmentectomy[주수술 2
 
6.7%
hepatectomysegmentectomy[주수술100 2
 
6.7%
hepatectomytrisegmentectomy[주수술100 1
 
3.3%
hepatectomywedgeresection[제2의수술 1
 
3.3%
hepatectomywedgeresection[주수술100 1
 
3.3%
hepatectomywedgeresection 1
 
3.3%

병리순번
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 30
100.0%

Length

2023-10-09T03:58:18.936013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-09T03:58:19.037387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 30
100.0%

병리접수일
Date

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2006-06-16 00:00:00
Maximum2016-08-23 00:00:00
2023-10-09T03:58:19.137496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:58:19.272301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

병리판독일
Date

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2006-06-21 00:00:00
Maximum2016-08-29 00:00:00
2023-10-09T03:58:19.684636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:58:19.798084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

Tumortype
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
11 
multinodularconfluent
9 
expandingnodular
8 
vaguelynodular
 
1
nodularwithperinodularextension
 
1

Length

Max length31
Median length21
Mean length13.533333
Min length4

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st rowexpandingnodular
2nd rowmultinodularconfluent
3rd rowvaguelynodular
4th rowmultinodularconfluent
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 11
36.7%
multinodularconfluent 9
30.0%
expandingnodular 8
26.7%
vaguelynodular 1
 
3.3%
nodularwithperinodularextension 1
 
3.3%

Length

2023-10-09T03:58:19.915890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-09T03:58:20.076505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 11
36.7%
multinodularconfluent 9
30.0%
expandingnodular 8
26.7%
vaguelynodular 1
 
3.3%
nodularwithperinodularextension 1
 
3.3%

Satellitenodule
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
no
17 
<NA>
10 
yes
2 
present(1.2cm)
 
1

Length

Max length15
Median length3
Mean length3.8
Min length3

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st rowno
2nd rowno
3rd rowno
4th rowyes
5th row<NA>

Common Values

ValueCountFrequency (%)
no 17
56.7%
<NA> 10
33.3%
yes 2
 
6.7%
present(1.2cm) 1
 
3.3%

Length

2023-10-09T03:58:20.191923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-09T03:58:20.317263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
no 17
56.7%
na 10
33.3%
yes 2
 
6.7%
present(1.2cm 1
 
3.3%

Histograde,worstdiff
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2
12 
<NA>
12 
3
6 

Length

Max length4
Median length1
Mean length2.2
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row2
3rd row2
4th row3
5th row<NA>

Common Values

ValueCountFrequency (%)
2 12
40.0%
<NA> 12
40.0%
3 6
20.0%

Length

2023-10-09T03:58:20.446339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-09T03:58:20.566041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 12
40.0%
na 12
40.0%
3 6
20.0%

Histograde,majordiff
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
3
17 
<NA>
12 
2
 
1

Length

Max length4
Median length1
Mean length2.2
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row<NA>

Common Values

ValueCountFrequency (%)
3 17
56.7%
<NA> 12
40.0%
2 1
 
3.3%

Length

2023-10-09T03:58:20.711679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-09T03:58:20.844944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 17
56.7%
na 12
40.0%
2 1
 
3.3%

Bileductinvasion
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
absent
21 
<NA>
5 
notidentified
 
2
present
 
2

Length

Max length14
Median length7
Mean length7.0333333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowabsent
2nd rownotidentified
3rd rowabsent
4th rowabsent
5th rowpresent

Common Values

ValueCountFrequency (%)
absent 21
70.0%
<NA> 5
 
16.7%
notidentified 2
 
6.7%
present 2
 
6.7%

Length

2023-10-09T03:58:20.982257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-09T03:58:21.092701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
absent 21
70.0%
na 5
 
16.7%
notidentified 2
 
6.7%
present 2
 
6.7%

Additionalpathologicfindings
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing26
Missing (%)86.7%
Memory size372.0 B
2023-10-09T03:58:21.280048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length927
Median length114
Mean length308
Min length77

Characters and Unicode

Total characters1232
Distinct characters71
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st row[AdditionalReport1:20141209] [진단내용] [Immunohistochemistry] Ki-67;70% [기타내용] Cholangiocarcinoma,moderatelydifferentiated
2nd row[AdditionalReport1:20151216] [진단내용] a)celltype;hepatic b)histologictype;compact,scirrhous c)differentiation;Theworstdifferentiation;Edmondsongrade(III) Themajordifferentiation;Edmondsongrade(II) d)fattychangeoftumorcells;absent e)tumorfibrouscapsule;absent f)tumorcapsuleinvasion;notapplicable g)septumformation;absent h)serosainvasion;peritoneum i)microvesselinvasion;present j)venousinvasion;absent k)bileductinvasion;absent l)lymphnodemetastasis;unknown m)surgicalmargininvasion;absent(marginoftheclearance:4.5cm) n)Non-tumorliver 1)chronichepatitis;present(alcohol) lobularactivity;severe portoperiportalacvitivity;severe fibrosis;cirrhosis 2)dysplasticnodule;absent 3)ductalepithelialdysplasia;absent 4)fattychange;absent 5)otherliverdiseases;no o)pTNMstage;yT2NxMx-Accordingtothe7thAJCCstagingsystem [판독결과] Liver,rightlobe,hepatectomy; Hepatocellularcarcinoma,gradeIIbyEdmondson&Steiner. [기타내용] Malignantneoplasm.
3rd row[AdditionalReport1:20120816] [진단내용] [Immunohistochemistry] Ki-67;7% [기타내용] Hepatocellularcarcinoma,gradeIII
4th row[AdditionalReport1:20060621] [판독결과] PCRformycobacteriumtuberculosis;negative
ValueCountFrequency (%)
진단내용 3
 
6.5%
기타내용 3
 
6.5%
immunohistochemistry 2
 
4.3%
판독결과 2
 
4.3%
o)ptnmstage;yt2nxmx-accordingtothe7thajccstagingsystem 1
 
2.2%
lobularactivity;severe 1
 
2.2%
portoperiportalacvitivity;severe 1
 
2.2%
fibrosis;cirrhosis 1
 
2.2%
2)dysplasticnodule;absent 1
 
2.2%
3)ductalepithelialdysplasia;absent 1
 
2.2%
Other values (30) 30
65.2%
2023-10-09T03:58:21.651099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 94
 
7.6%
i 85
 
6.9%
t 82
 
6.7%
a 80
 
6.5%
o 79
 
6.4%
n 71
 
5.8%
s 63
 
5.1%
r 59
 
4.8%
46
 
3.7%
l 44
 
3.6%
Other values (61) 529
42.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 942
76.5%
Control 53
 
4.3%
Decimal Number 52
 
4.2%
Uppercase Letter 48
 
3.9%
Other Punctuation 45
 
3.7%
Close Punctuation 38
 
3.1%
Other Letter 32
 
2.6%
Open Punctuation 18
 
1.5%
Dash Punctuation 4
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 94
 
10.0%
i 85
 
9.0%
t 82
 
8.7%
a 80
 
8.5%
o 79
 
8.4%
n 71
 
7.5%
s 63
 
6.7%
r 59
 
6.3%
l 44
 
4.7%
c 43
 
4.6%
Other values (14) 242
25.7%
Uppercase Letter
ValueCountFrequency (%)
I 12
25.0%
A 6
12.5%
R 5
10.4%
T 4
 
8.3%
C 4
 
8.3%
E 3
 
6.2%
M 3
 
6.2%
N 3
 
6.2%
H 2
 
4.2%
K 2
 
4.2%
Other values (4) 4
 
8.3%
Decimal Number
ValueCountFrequency (%)
1 13
25.0%
2 10
19.2%
0 9
17.3%
6 6
11.5%
7 5
 
9.6%
5 3
 
5.8%
4 3
 
5.8%
3 1
 
1.9%
9 1
 
1.9%
8 1
 
1.9%
Other Letter
ValueCountFrequency (%)
용 6
18.8%
내 6
18.8%
진 3
9.4%
기 3
9.4%
단 3
9.4%
타 3
9.4%
판 2
 
6.2%
독 2
 
6.2%
결 2
 
6.2%
과 2
 
6.2%
Other Punctuation
ValueCountFrequency (%)
; 28
62.2%
, 6
 
13.3%
: 5
 
11.1%
. 3
 
6.7%
% 2
 
4.4%
& 1
 
2.2%
Control
ValueCountFrequency (%)
46
86.8%
7
 
13.2%
Close Punctuation
ValueCountFrequency (%)
) 24
63.2%
] 14
36.8%
Open Punctuation
ValueCountFrequency (%)
[ 14
77.8%
( 4
 
22.2%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 990
80.4%
Common 210
 
17.0%
Hangul 32
 
2.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 94
 
9.5%
i 85
 
8.6%
t 82
 
8.3%
a 80
 
8.1%
o 79
 
8.0%
n 71
 
7.2%
s 63
 
6.4%
r 59
 
6.0%
l 44
 
4.4%
c 43
 
4.3%
Other values (28) 290
29.3%
Common
ValueCountFrequency (%)
46
21.9%
; 28
13.3%
) 24
11.4%
[ 14
 
6.7%
] 14
 
6.7%
1 13
 
6.2%
2 10
 
4.8%
0 9
 
4.3%
7
 
3.3%
, 6
 
2.9%
Other values (13) 39
18.6%
Hangul
ValueCountFrequency (%)
용 6
18.8%
내 6
18.8%
진 3
9.4%
기 3
9.4%
단 3
9.4%
타 3
9.4%
판 2
 
6.2%
독 2
 
6.2%
결 2
 
6.2%
과 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1200
97.4%
Hangul 32
 
2.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 94
 
7.8%
i 85
 
7.1%
t 82
 
6.8%
a 80
 
6.7%
o 79
 
6.6%
n 71
 
5.9%
s 63
 
5.2%
r 59
 
4.9%
46
 
3.8%
l 44
 
3.7%
Other values (51) 497
41.4%
Hangul
ValueCountFrequency (%)
용 6
18.8%
내 6
18.8%
진 3
9.4%
기 3
9.4%
단 3
9.4%
타 3
9.4%
판 2
 
6.2%
독 2
 
6.2%
결 2
 
6.2%
과 2
 
6.2%

Note
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing26
Missing (%)86.7%
Memory size372.0 B
2023-10-09T03:58:21.833481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length32.5
Mean length16.75
Min length1

Characters and Unicode

Total characters67
Distinct characters50
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)50.0%

Sample

1st row1.S16-32874와종합한결과입니다. 2.본진단은정은선교수님의의견을참고로하였습니다.
2nd row-
3rd row면역화학염색후다시보고드리겠습니다.
4th row-
ValueCountFrequency (%)
2
40.0%
1.s16-32874와종합한결과입니다 1
20.0%
2.본진단은정은선교수님의의견을참고로하였습니다 1
20.0%
면역화학염색후다시보고드리겠습니다 1
20.0%
2023-10-09T03:58:22.120018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 5
 
7.5%
다 4
 
6.0%
- 3
 
4.5%
니 3
 
4.5%
습 2
 
3.0%
1 2
 
3.0%
은 2
 
3.0%
고 2
 
3.0%
의 2
 
3.0%
2 2
 
3.0%
Other values (40) 40
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48
71.6%
Decimal Number 9
 
13.4%
Other Punctuation 5
 
7.5%
Dash Punctuation 3
 
4.5%
Uppercase Letter 1
 
1.5%
Control 1
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
다 4
 
8.3%
니 3
 
6.2%
습 2
 
4.2%
은 2
 
4.2%
고 2
 
4.2%
의 2
 
4.2%
하 1
 
2.1%
견 1
 
2.1%
리 1
 
2.1%
을 1
 
2.1%
Other values (29) 29
60.4%
Decimal Number
ValueCountFrequency (%)
1 2
22.2%
2 2
22.2%
6 1
11.1%
3 1
11.1%
8 1
11.1%
7 1
11.1%
4 1
11.1%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48
71.6%
Common 18
 
26.9%
Latin 1
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
다 4
 
8.3%
니 3
 
6.2%
습 2
 
4.2%
은 2
 
4.2%
고 2
 
4.2%
의 2
 
4.2%
하 1
 
2.1%
견 1
 
2.1%
리 1
 
2.1%
을 1
 
2.1%
Other values (29) 29
60.4%
Common
ValueCountFrequency (%)
. 5
27.8%
- 3
16.7%
1 2
 
11.1%
2 2
 
11.1%
6 1
 
5.6%
3 1
 
5.6%
8 1
 
5.6%
7 1
 
5.6%
4 1
 
5.6%
1
 
5.6%
Latin
ValueCountFrequency (%)
S 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48
71.6%
ASCII 19
 
28.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 5
26.3%
- 3
15.8%
1 2
 
10.5%
2 2
 
10.5%
S 1
 
5.3%
6 1
 
5.3%
3 1
 
5.3%
8 1
 
5.3%
7 1
 
5.3%
4 1
 
5.3%
Hangul
ValueCountFrequency (%)
다 4
 
8.3%
니 3
 
6.2%
습 2
 
4.2%
은 2
 
4.2%
고 2
 
4.2%
의 2
 
4.2%
하 1
 
2.1%
견 1
 
2.1%
리 1
 
2.1%
을 1
 
2.1%
Other values (29) 29
60.4%

사망일
Date

MISSING 

Distinct19
Distinct (%)100.0%
Missing11
Missing (%)36.7%
Memory size372.0 B
Minimum2009-07-19 00:00:00
Maximum2019-02-09 00:00:00
2023-10-09T03:58:22.282467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-09T03:58:22.453305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

주사망원인
Text

MISSING 

Distinct10
Distinct (%)90.9%
Missing19
Missing (%)63.3%
Memory size372.0 B
2023-10-09T03:58:22.658563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length9
Mean length8.1818182
Min length2

Characters and Unicode

Total characters90
Distinct characters35
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)81.8%

Sample

1st rowHCC
2nd row패혈증
3rd rowHCCtypeC
4th rowCBDCancer
5th rowCholangiocarcinoma
ValueCountFrequency (%)
cholangiocarcinoma 2
18.2%
hcc 1
9.1%
패혈증 1
9.1%
hcctypec 1
9.1%
cbdcancer 1
9.1%
multiorganfailure 1
9.1%
간암 1
9.1%
악성림프종 1
9.1%
mods 1
9.1%
담관암 1
9.1%
2023-10-09T03:58:23.005615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
C 9
 
10.0%
a 9
 
10.0%
o 7
 
7.8%
n 6
 
6.7%
i 6
 
6.7%
c 5
 
5.6%
r 5
 
5.6%
l 4
 
4.4%
g 3
 
3.3%
m 3
 
3.3%
Other values (25) 33
36.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 60
66.7%
Uppercase Letter 17
 
18.9%
Other Letter 13
 
14.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 9
15.0%
o 7
11.7%
n 6
10.0%
i 6
10.0%
c 5
8.3%
r 5
8.3%
l 4
6.7%
g 3
 
5.0%
m 3
 
5.0%
e 3
 
5.0%
Other values (6) 9
15.0%
Other Letter
ValueCountFrequency (%)
암 2
15.4%
종 1
7.7%
성 1
7.7%
프 1
7.7%
림 1
7.7%
담 1
7.7%
악 1
7.7%
간 1
7.7%
증 1
7.7%
혈 1
7.7%
Other values (2) 2
15.4%
Uppercase Letter
ValueCountFrequency (%)
C 9
52.9%
D 2
 
11.8%
H 2
 
11.8%
M 1
 
5.9%
O 1
 
5.9%
S 1
 
5.9%
B 1
 
5.9%

Most occurring scripts

ValueCountFrequency (%)
Latin 77
85.6%
Hangul 13
 
14.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 9
11.7%
a 9
11.7%
o 7
 
9.1%
n 6
 
7.8%
i 6
 
7.8%
c 5
 
6.5%
r 5
 
6.5%
l 4
 
5.2%
g 3
 
3.9%
m 3
 
3.9%
Other values (13) 20
26.0%
Hangul
ValueCountFrequency (%)
암 2
15.4%
종 1
7.7%
성 1
7.7%
프 1
7.7%
림 1
7.7%
담 1
7.7%
악 1
7.7%
간 1
7.7%
증 1
7.7%
혈 1
7.7%
Other values (2) 2
15.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 77
85.6%
Hangul 13
 
14.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 9
11.7%
a 9
11.7%
o 7
 
9.1%
n 6
 
7.8%
i 6
 
7.8%
c 5
 
6.5%
r 5
 
6.5%
l 4
 
5.2%
g 3
 
3.9%
m 3
 
3.9%
Other values (13) 20
26.0%
Hangul
ValueCountFrequency (%)
암 2
15.4%
종 1
7.7%
성 1
7.7%
프 1
7.7%
림 1
7.7%
담 1
7.7%
악 1
7.7%
간 1
7.7%
증 1
7.7%
혈 1
7.7%
Other values (2) 2
15.4%

기타사망원인1
Text

MISSING 

Distinct10
Distinct (%)90.9%
Missing19
Missing (%)63.3%
Memory size372.0 B
2023-10-09T03:58:23.178946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length10
Min length2

Characters and Unicode

Total characters110
Distinct characters32
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)81.8%

Sample

1st rowHCC
2nd row간내담도암
3rd rowHCCtypeC
4th rowCBDCancer
5th rowCholangiocarcinoma
ValueCountFrequency (%)
cholangiocarcinoma 2
18.2%
hcc 1
9.1%
간내담도암 1
9.1%
hcctypec 1
9.1%
cbdcancer 1
9.1%
hepatocellularcarcinoma 1
9.1%
간암 1
9.1%
악성림프종 1
9.1%
pulmonaryfailure 1
9.1%
담관암 1
9.1%
2023-10-09T03:58:23.506478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 13
 
11.8%
C 9
 
8.2%
o 9
 
8.2%
c 8
 
7.3%
l 7
 
6.4%
n 7
 
6.4%
r 7
 
6.4%
i 6
 
5.5%
e 5
 
4.5%
m 4
 
3.6%
Other values (22) 35
31.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 80
72.7%
Uppercase Letter 15
 
13.6%
Other Letter 15
 
13.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 13
16.2%
o 9
11.2%
c 8
10.0%
l 7
8.8%
n 7
8.8%
r 7
8.8%
i 6
7.5%
e 5
 
6.2%
m 4
 
5.0%
u 3
 
3.8%
Other values (6) 11
13.8%
Other Letter
ValueCountFrequency (%)
암 3
20.0%
간 2
13.3%
담 2
13.3%
림 1
 
6.7%
종 1
 
6.7%
프 1
 
6.7%
성 1
 
6.7%
악 1
 
6.7%
내 1
 
6.7%
도 1
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
C 9
60.0%
H 3
 
20.0%
P 1
 
6.7%
D 1
 
6.7%
B 1
 
6.7%

Most occurring scripts

ValueCountFrequency (%)
Latin 95
86.4%
Hangul 15
 
13.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 13
13.7%
C 9
9.5%
o 9
9.5%
c 8
 
8.4%
l 7
 
7.4%
n 7
 
7.4%
r 7
 
7.4%
i 6
 
6.3%
e 5
 
5.3%
m 4
 
4.2%
Other values (11) 20
21.1%
Hangul
ValueCountFrequency (%)
암 3
20.0%
간 2
13.3%
담 2
13.3%
림 1
 
6.7%
종 1
 
6.7%
프 1
 
6.7%
성 1
 
6.7%
악 1
 
6.7%
내 1
 
6.7%
도 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 95
86.4%
Hangul 15
 
13.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 13
13.7%
C 9
9.5%
o 9
9.5%
c 8
 
8.4%
l 7
 
7.4%
n 7
 
7.4%
r 7
 
7.4%
i 6
 
6.3%
e 5
 
5.3%
m 4
 
4.2%
Other values (11) 20
21.1%
Hangul
ValueCountFrequency (%)
암 3
20.0%
간 2
13.3%
담 2
13.3%
림 1
 
6.7%
종 1
 
6.7%
프 1
 
6.7%
성 1
 
6.7%
악 1
 
6.7%
내 1
 
6.7%
도 1
 
6.7%

기타사망원인2
Text

MISSING 

Distinct11
Distinct (%)100.0%
Missing19
Missing (%)63.3%
Memory size372.0 B
2023-10-09T03:58:23.696169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length5
Mean length6.5454545
Min length2

Characters and Unicode

Total characters72
Distinct characters32
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)100.0%

Sample

1st row간세포암종
2nd row패혈증
3rd rowHCC
4th row총담관암
5th rowCholangiocarcinoma
ValueCountFrequency (%)
cholangiocarcinoma 2
18.2%
간세포암종 1
9.1%
패혈증 1
9.1%
hcc 1
9.1%
총담관암 1
9.1%
담관암종 1
9.1%
간암 1
9.1%
암성림프종 1
9.1%
다발성장기부전 1
9.1%
담관암 1
9.1%
2023-10-09T03:58:24.090923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 6
 
8.3%
암 6
 
8.3%
o 6
 
8.3%
c 5
 
6.9%
i 4
 
5.6%
n 4
 
5.6%
종 3
 
4.2%
C 3
 
4.2%
담 3
 
4.2%
관 3
 
4.2%
Other values (22) 29
40.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 35
48.6%
Other Letter 33
45.8%
Uppercase Letter 4
 
5.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
암 6
18.2%
종 3
 
9.1%
담 3
 
9.1%
관 3
 
9.1%
성 2
 
6.1%
간 2
 
6.1%
세 1
 
3.0%
총 1
 
3.0%
증 1
 
3.0%
혈 1
 
3.0%
Other values (10) 10
30.3%
Lowercase Letter
ValueCountFrequency (%)
a 6
17.1%
o 6
17.1%
c 5
14.3%
i 4
11.4%
n 4
11.4%
l 2
 
5.7%
m 2
 
5.7%
r 2
 
5.7%
g 2
 
5.7%
h 2
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
C 3
75.0%
H 1
 
25.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 39
54.2%
Hangul 33
45.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
암 6
18.2%
종 3
 
9.1%
담 3
 
9.1%
관 3
 
9.1%
성 2
 
6.1%
간 2
 
6.1%
세 1
 
3.0%
총 1
 
3.0%
증 1
 
3.0%
혈 1
 
3.0%
Other values (10) 10
30.3%
Latin
ValueCountFrequency (%)
a 6
15.4%
o 6
15.4%
c 5
12.8%
i 4
10.3%
n 4
10.3%
C 3
7.7%
l 2
 
5.1%
m 2
 
5.1%
r 2
 
5.1%
g 2
 
5.1%
Other values (2) 3
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39
54.2%
Hangul 33
45.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 6
15.4%
o 6
15.4%
c 5
12.8%
i 4
10.3%
n 4
10.3%
C 3
7.7%
l 2
 
5.1%
m 2
 
5.1%
r 2
 
5.1%
g 2
 
5.1%
Other values (2) 3
7.7%
Hangul
ValueCountFrequency (%)
암 6
18.2%
종 3
 
9.1%
담 3
 
9.1%
관 3
 
9.1%
성 2
 
6.1%
간 2
 
6.1%
세 1
 
3.0%
총 1
 
3.0%
증 1
 
3.0%
혈 1
 
3.0%
Other values (10) 10
30.3%

기타사망원인3
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing27
Missing (%)90.0%
Memory size372.0 B
2023-10-09T03:58:24.294740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length29
Mean length25.666667
Min length19

Characters and Unicode

Total characters77
Distinct characters19
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st rowRecurrentstomachca.
2nd rowIntrahepaticbileductcarcinoma
3rd rowIntrahepaticbileductcarcinoma
ValueCountFrequency (%)
intrahepaticbileductcarcinoma 2
66.7%
recurrentstomachca 1
33.3%
2023-10-09T03:58:24.734375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
c 11
14.3%
a 10
13.0%
t 8
10.4%
r 6
 
7.8%
e 6
 
7.8%
i 6
 
7.8%
n 5
 
6.5%
h 3
 
3.9%
m 3
 
3.9%
o 3
 
3.9%
Other values (9) 16
20.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 73
94.8%
Uppercase Letter 3
 
3.9%
Other Punctuation 1
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
c 11
15.1%
a 10
13.7%
t 8
11.0%
r 6
8.2%
e 6
8.2%
i 6
8.2%
n 5
6.8%
h 3
 
4.1%
m 3
 
4.1%
o 3
 
4.1%
Other values (6) 12
16.4%
Uppercase Letter
ValueCountFrequency (%)
I 2
66.7%
R 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 76
98.7%
Common 1
 
1.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
c 11
14.5%
a 10
13.2%
t 8
10.5%
r 6
 
7.9%
e 6
 
7.9%
i 6
 
7.9%
n 5
 
6.6%
h 3
 
3.9%
m 3
 
3.9%
o 3
 
3.9%
Other values (8) 15
19.7%
Common
ValueCountFrequency (%)
. 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 77
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
c 11
14.3%
a 10
13.0%
t 8
10.4%
r 6
 
7.8%
e 6
 
7.8%
i 6
 
7.8%
n 5
 
6.5%
h 3
 
3.9%
m 3
 
3.9%
o 3
 
3.9%
Other values (9) 16
20.8%

Sample

간암진단시나이성별최초진단일최초진단코드최초진단명최초시술일최초수술일최초수술명사망일자입원일신장측정일신장체중측정일체중BMI수축기이완기영상검사일자영상검사종류영상검사명영상검사소견영상검사결과외부생검시행일생검접수일생검판독일생검결과수술일수술순번수술명병리순번병리접수일병리판독일TumortypeSatellitenoduleHistograde,worstdiffHistograde,majordiffBileductinvasionAdditionalpathologicfindingsNote사망일주사망원인기타사망원인1기타사망원인2기타사망원인3
051M2013-07-01 00:00:00C220.000.01Hepatocellularcarcinoma2013-07-262014-01-03RthepatectomyNaT2013-07-252013-07-25177.32013-07-2581.526.0130952013-07-265MRILiverPrimovist(enhance)HepaticdomeS8에약2.3cmsize의T2slightlyhighT1lowsignalintensity의mass가있음. DynamicenhancedT1WI에서mass는earlyarterialenhancement를보이고mass의margin에liverparenchymalenhancement가wedgeshape으로동반되어있음. Hepatobiliaryphase에서mass는lowsignalintensity의defect로보임. S6hepaticangleportion에arterialphase에서wedgeshape의enhancement가있으나다른phase에서는모두isosignalintensity로보여focalAPshunt소견으로생각이됨. Otherwiseunremarkable.Anabout2.3cmsizedarterialenhancingmassatthehepaticdomeofS8,suggestingsmallHCC.2013-07-262013-07-262013-07-30Twolinearshapedtanbrowntissuefragments,measuringupto1.0x0.2cm,aretotallyembedded.Liver,`tumor`,biopsy; Hepatocellularcarcinoma,gradeIIbyEdmonsonandSteiner.2014-01-031HepatectomyLobectomy[주수술]12014-01-032014-01-08expandingnodularno33absent<NA><NA>NaT<NA><NA><NA><NA>
156M2011-04-27 00:00:00C220.000.02HCC2014-05-022011-05-12Lt.lat.segmentectomycNon-anatomicalresection,S7NaT2011-06-222011-05-16164.22011-05-1657.421.3<NA><NA>2011-05-016CTChest(Lungmediastinum)(enhance)ClinicalHx.:R/OHCC InitialchestCT. 1.Twodensecalcifiednodules,lessthan1.1cm,inRULanteriorsegment. ->suggestingcalcifiedTBgranulomas. 2.SomefibroticTBscarsinbothapices. 3.TwolargedenlargedeenhancingLNsinrightcardiophrenicangle. :R/OmetastaticparacardiacLNs. :DDx.reactiveLAPs. Otherwiseunremarkable.R/OmetastaticparacardiacLNs.2011-05-032011-05-032011-05-06Threelinearshapedtanbrowntissuefragments,upto1.2x0.1cm,aretotallyembedded.Liver,needlebiopsy; 1.Focalnecroticarea,suggestiveofHepatocellularcarcinoma. 2.Chronichepatitis withmildlobularactivity, withmoderateporto-periportalactivity, withcirrhosis, withcholestasis.2011-05-121HepatectomySegmentectomy[주수술]12011-05-122011-05-17multinodularconfluentno23notidentified<NA><NA>NaT<NA><NA><NA><NA>
244F2015-07-19 00:00:00C220.000.01Hepatocellularcarcinoma2015-07-272015-09-01Rt.hemihepatectomyNaT2015-07-252015-07-25162.32015-07-2551.2519.5120762015-07-216CTChest(Lungmediastinum)(enhance)Clinicalinformation:HCC(B),initialevaluation. InitialchestCTatourhospital.1.Minimalfibrosisandseveralnoduleswith/withoutcalcificationsinBULs. Someclustersofcentrilobularnodulesand/orGGOsintheposteriorsegmentofRULandthemedialsegmentofRML. Peribronchialconsolidation/GGOinlingula. :R/ONTMinfection.DD.R/OfocalpneumoniawithunderlyingmildNTM 2.Nodefinitemetastaticnodulesinbothlungs. 3.SeveralmildlyenlargedLNsinthemediastinum. :Probabaly,reativehyperplasia. *RefertorecentliverCTforabdominalregion.2015-07-212015-07-212015-07-24Twolinearshapedtanbrowntissuefragments,upto1.5x0.1cm,aretotallyembedded.Liver,needlebiopsy; Hepatocellularcarcinoma,gradeIIbyEdmondson&Steiner.2015-09-011HepatectomyLobectomy[주수술100%]12015-09-012015-09-04vaguelynodularno23absent<NA><NA>NaT<NA><NA><NA><NA>
342M2003-02-19 00:00:00C220.444.00Hepatocellularcarcinoma2013-11-112013-07-26Rthepatectomy2015-06-062013-11-092013-07-24163.92013-07-2475.328.3<NA><NA>2006-03-203Sono비정규2D추적검사(1주-1개월사이반복검사)<NA><NA>2007-11-262007-11-262007-11-27Grossdescription G1;three,G2;one,G3;one - Diagnosis Regenerativefoveolarepithelium,fundic(G1&G2)andpyloric(G3)glandmucosa. -2013-07-261HepatectomyLobectomy[주수술]12013-07-262013-08-01multinodularconfluentyes33absent<NA><NA>2015-06-06HCCHCC간세포암종<NA>
432M2012-06-27 00:00:00C221.002.00Klatskin'stumor2012-10-082012-07-11Lt.hepatectomycR-Yhepaticojejunostomy(caudatelobectomy)2015-06-132012-06-282012-06-28168.82012-06-2881.428.8<NA><NA>2012-06-286CTBiliary,Pancreas(enhance)Anabout3x3.5cmsizedilldefinedslightlylobulatedlowdensitymassatthehilarportionandS4. DiffuselydilatedbothIHBDsarenoted.ThismassinvolvesCHDandLtmainIHBD. AenlargedLAPattheportahepatisisseen. Otherwiseunremarkable.Anabout3x3.5cmsizedhilarcholangiocarcinomainvolvingCHDandLtIHBD. AenlargedLAPattheportahepatis.2012-06-292012-06-292012-07-03Twolinearshapedtanbrowntissuefragments,0.2x0.1cm,aretotallyembedded.Liver,needlebiopsy; Reactivehepatocyteswithcholestasis.Nomalignantcellisfoundinthisspecimenmicroscopically.2012-07-111HepatectomyLobectomy[주수술]12012-07-112012-07-16<NA><NA><NA><NA>present<NA><NA>2015-06-13패혈증간내담도암패혈증<NA>
557M2014-07-25 00:00:00C220.000.02HCC2015-08-122014-08-01Rt.hemihepatectomy2018-06-252015-10-242015-08-11170.02015-08-1154.018.6<NA><NA>2014-07-266[응급]CTChest(Lungmediastinum)(enhance)<NA>CTshowsafewmicronodules(indicatedwithlineshadows)whicharenonspecificbutpossiblyrepresentingabenigncausesuchasintrapulmonarylymphnodes. Theotherareasofthechestareessentiallyunremarkable.2017-03-022017-03-022017-03-07Twolinearshapedtanbrowntissuefragments,upto0.5x0.2cm,aretotallyembedded.Liver,needlebiopsy; Hepatocellularcarcinoma,gradeIIIbyEdmondson&Steiner.2014-08-011HepatectomyLobectomy[주수술]12014-08-012014-08-06expandingnodularno23absent<NA><NA>2018-06-25<NA><NA><NA><NA>
655F2016-08-14 00:00:00C220.000.01Hepatocellularcarcinoma2017-06-072016-08-23ExtendedLt.hepatectomycLNdissection2017-08-092016-08-172016-08-23157.32016-08-2363.025.5129682016-08-1799LiverfibroScan<NA><NA>2016-08-172016-08-172016-08-22Twolinearshapedtanbrowntissuefragments,upto1.5x0.1cm,aretotallyembedded.Liver,right,needlebiopsy; Adenocarcinoma,moderatelydifferentiated(Cholangiocarcinoma).본진단은정은선교수님의의견을참고로하였습니다.2016-08-231HepatectomyTrisegmentectomy[주수술100%]12016-08-232016-08-29<NA><NA><NA><NA>absent<NA>1.S16-32874와종합한결과입니다. 2.본진단은정은선교수님의의견을참고로하였습니다.2017-08-09<NA><NA><NA><NA>
754M2009-07-21 00:00:00C220.000.01Hepatocellularcarcinoma2009-08-202015-06-16Lap.Lt.lat.partialhepatectomyNaT2009-07-202009-07-20176.82009-07-2073.323.6137712009-07-2111BoneScan/WB(HDP)Marginalandlinearhotuptakeareasarenotedinlowerlumbarvertebrae. Periarticularareasofbilateralshoulders,elbows,wrists,kneesandanklesshowincreasedactivity. Bothkidneysshowdiffuselyincreaseduptake. TheuptakeratioofR/Lshoulderis1.0510. Otherwiseunremarkable.1.Negativestudyforbonemetastasis. 2.Milddegenerativespondylosisinlowerlumbarvertebrae. 3.Polyarthritis. 4.Increasedrenaluptakepossiblyduetochemotherapyorrenalparenchymaldisease.2009-07-232009-07-232009-07-27a)Specimencondition;informalin,intact b)Specimentype;liver,needlebiopsy c)Number;four d)Size;upto2.0x0.1cm -HistologyActivityIndexbyKoreanSocietyofPathology Ilobularactivity 4;Severe(>10necrosis/100배) IIPortal-periportalactivity 4;Severe(confluentnecrosis(zone3)PMNaround>50%ofmostportaltractsorseptalsurfaces orbridgingnecrosis) III.Staging(Fibrosis) 4;Cirrhosis(Diffusenodularformation) -HistologyActivityIndexbyKnodell(TotalHAIscore=18) I.Periportal+/-bridgingnecrosis 6;Markedpiecemealnecrosis+bridgingnecrosis IIIntralobulardegenerationandfocalnecrosis 4;Marked(involvementof>2/3oflobulesornodules) III.Portalinflammation 4;Marked(densepackingofinflammatorycellsin>2/3ofportaltracts) IV.Fibrosis 4;Cirrhosis 1.Liver,T3,needlebiopsy(#4); Hepatocellularcarcinoma,gradeIIbyEdmondson&Steiner. 2.Liver,T1&T2,needlebiopsy(#2&#3); Hepatocellularcarcinoma,gradeIbyEdmondson&Steiner. 3.Liver,NT,needlebiopsy(#1); Chronichepatitis,HBV withseverelobularactivity, withsevereportoperiportalactivity, withcirrhosis.2015-06-161HepatectomySegmentectomy[주수술100%]12015-06-162015-06-19multinodularconfluentno23absent<NA><NA>NaT<NA><NA><NA><NA>
862M2007-10-05 00:00:00C220.444.00Hepatocellularcarcinoma2011-04-052011-12-05lapcholecystectomyandliverwedgeresectionforincidentallivermass(seg#4)2016-05-052011-04-042011-04-04167.62011-04-0476.7527.5<NA><NA>2007-11-016CTLiver,Spleen,Pancreas(enhance)ComparisonwithpriorCTdatedonOct-3-2007wasdone. 1.A1.7cmpartlybutdenslylipiodolladennoduleinsubcapsularportion ofS4.Lobulatednonenhancinghypodenselesionssurroundthe previouslymentionedlesionwithoutevidenceofviab letumor. 2.Nonewfocalhepaticlesion. 3.Washoutofpreviouslynoteddiffusepatchyparenchymal lipiodolretention.<NA>2011-04-062011-04-062011-04-081.Alinearshapedtanbrowntissuefragment,0.8x0.1cm,istotallyembedded. 2.Alinearshapedtanbrowntissuefragment,1.2x0.1cm,istotallyembedded.Liver,needlebiopsy(#1&#2); Hepatocellularcarcinoma,gradeIbyEdmondson&Steiner.2011-12-051HepatectomyWedgeResection[제2의수술]12011-12-052011-12-09<NA><NA><NA><NA><NA><NA><NA>2016-05-05HCCtypeCHCCtypeCHCC<NA>
945F2014-08-289C221.001.00Cholangiocarcinoma2017-07-202014-09-30Rt.hemihepatectomywithcholecystectomy2017-08-032014-08-312014-08-31157.02014-08-3152.021.0<NA><NA>2014-09-016[응급]CTChest(Lungmediastinum)(enhance)<NA>UnremarkablechestCT2014-09-012014-09-012014-09-03Twolinearlyshapedtanbrowntissuefragments,upto1.5x0.1cm,aretotallyembedded.Liver,needlebiopsy; Adenocarcinoma,moderatelydifferentiated.2014-09-301HepatectomyLobectomy[주수술]12014-09-302014-10-06<NA>present(1.2cm)<NA><NA>absent<NA><NA>2017-08-03CBDCancerCBDCancer총담관암<NA>
간암진단시나이성별최초진단일최초진단코드최초진단명최초시술일최초수술일최초수술명사망일자입원일신장측정일신장체중측정일체중BMI수축기이완기영상검사일자영상검사종류영상검사명영상검사소견영상검사결과외부생검시행일생검접수일생검판독일생검결과수술일수술순번수술명병리순번병리접수일병리판독일TumortypeSatellitenoduleHistograde,worstdiffHistograde,majordiffBileductinvasionAdditionalpathologicfindingsNote사망일주사망원인기타사망원인1기타사망원인2기타사망원인3
2049M2010-04-12 00:00:00C220.000.02HCC2010-04-222010-06-09Ant.segmentectomy2019-02-092010-04-172010-04-17174.22010-04-1755.318.2131852010-04-196CTReadingOutsideFilms(Abdomen)A4.5x4.3cmheterogeneouslyenhancingmassisnotedintheS8ofliver. Themassshowsdelayedwashout. Underlyinglivercirrhosis. Alargeamountofpneumoperitoneumisseen,duetoimmediatepostop.state. A5mmlowdensitylesionisseenattheS5ofliver. Otherwiseunremarkable.A4.5cmHCCintheS8ofliver. A5mmlowdensitylesionatS5ofliver:toosmalltocharacterize. Postoperativepneumoperitoneum.2010-04-202010-04-202010-04-221.Apalebrownlineartissuefragment,measured1.2x0.1cm,istotallyembedded. 2.Severalpalebrowntissuefragments,measuredupto0.6x0.1cm,aretotallyembedded.Liver,`tumor`(#1)and`non-tumor`(#2),needlebiopsy; Hepatocellularcarcinoma,gradeIIIbyEdmonson&Steiner.2010-06-091HepatctomyLobectomy[주수술]12010-06-042010-06-10nodularwithperinodularextensionno33absent<NA><NA>2019-02-09간암간암간암<NA>
2138F2012-07-22 00:00:00C220.000.01Hepatocellularcarcinoma2012-08-082015-05-22Lt.lat.segmenthepatectomyNaT2012-08-072012-08-29157.42012-08-2953.1521.5<NA><NA>2012-07-285MRILiverPrimovist(enhance)liverS6에약2cm크기의enhancingnodularlesion있음. 이병변은T2-weightedimage에서high,T1-weightedimage에서lowsignalintensity로보이며portalphase에서도계속해서enhancement되서보이나hepatobiliaryphase에서는washout되고있는양상임. diffusionweightedimage에서도highsignalintensity로보이는malignanttumor에맞는finding임. HCC에맞는소견으로보이며그외에equilibriumphase에서cirrhosisrelatedsmallnodule들이여러개보이며일부T1-weightedimage에서highsignalintensity로보이는dysplasticnodule들도보이고있음. portalvein은patent함. Lt.gastricvarix가매우prominent하게보이며splenomegaly있음.2cmsizedHCCinS6. Multiplecirrhosisrelatednodules. Prominentgastricvarixwithsplenorenalshunt.2012-08-082012-08-082012-08-13Alinearshapedtanbrowntissuefragment,1.5x0.1cm,istotallyembedded.Liver,biopsy; Combinedhepatocellularandcholangiocarcinoma.2015-05-221HepatectomySegmentectomy[주수술100%]12015-05-222015-05-28expandingnodularno23absent<NA><NA>NaT<NA><NA><NA><NA>
2263M2013-10-16 00:00:00C220.000.01Hepatocellularcarcinoma2014-01-172014-01-03Rthepatectomy2017-01-072013-12-312013-12-31155.92013-12-3160.125.0<NA><NA>2013-12-316[응급]CTChest(Lungmediastinum)(enhance)Clinicalinformation:knwonHCC1.Noevidenceofmetastasisinthisstudy. 2.Subpleuralseptallines,GGOs,andcurvilinearlinesinbothlowerlungfields :R/OILDwithveryearlyUIPorNSIPpatternorILDassociatedwithCVD. 3.Linearatelectasis/scarsinRML. 4.Knwon3.3cmsizedHCCinS7ofliverandsmallascites;GBstonewithR/Ochroncicholecystitis.2016-02-032016-02-032016-02-04Twolinearshapedtanbrowntissuefragments,upto2.0x0.1cm,aretotallyembedded.Liver,needlebiopsy; Chronicinflammationwithextensivenecrosisandvaguegranulomas.1.현미경적소견상악성소견은관찰되지않습니다. 2.본진단은이교영교수님의의견을참고로하였습니다.2014-01-031HepatectomyLobectomy[주수술]12014-01-032014-01-08expandingnodularno23absent<NA><NA>2017-01-07악성림프종악성림프종암성림프종<NA>
2370M2009-06-17 00:00:00C221.001.01Cholangioca2009-06-302009-07-07Rtlobectomy2009-07-192009-06-252009-06-25160.72009-06-2571.9528.1<NA><NA>2009-06-186CTLiver(enhance)About10cmsized,lobulatedmarginated,delayedenhancinglowdensitymassisnotedinRthepaticlobe. About0.9cmsized,simplecystisnotedinLthepaticlobe. Otherwiseunremarkable.1.A10cmsized,lowdensitymassinRthepaticlobe. R/Ocholangiocarcinoma. DDx.metastasis. 2.A0.9cmsized,simplecystinLthepaticlobe.2009-06-262009-06-262009-06-30Threelinearpaleyellowtissuefragments,measuringupto1.2x0.1cm,aretotallyembedded.Liver,needlebiopsy; Adenocarcinomawithmarkednecrosis.2009-07-071HepatctomyLobectomy[주수술]12009-07-022009-07-07<NA><NA><NA><NA>absent<NA><NA>2009-07-19MODSPulmonaryfailure다발성장기부전Intrahepaticbileductcarcinoma
2449M2014-11-17 00:00:00C220.000.01Hepatocellularcarcinoma2014-12-152015-10-14Lt.hepatectomy/cholecystectomy2017-05-292014-12-112014-12-11168.42014-12-1169.4524.6<NA><NA>2014-12-095MRILiverPrimovist(enhance)About2.5cmsizedT1lowT2highSInoduleisseenatposteriorportionofS3. Thisnoduleshowsarterialenhancementanddelayedwashoutpatternofenhancement,andappearstobeenhancingdefectintheHBP. Thisnoduleshowsdiffusionrestriction.AHCCinS32017-02-242017-02-242017-02-28Threeirregularshapedtanbrowntissuefragments,upto0.2x0.1cm,aretotallyembedded.Liver,rightlobe,needlebiopsy; Hepatocellularcarcinoma,gradeIIIbyEdmondson&Steiner.2015-10-141HepatectomyLobectomy[주수술100%]12015-10-142015-10-19multinodularconfluentno33absent<NA><NA>2017-05-29<NA><NA><NA><NA>
2545F2010-12-13 00:00:00C221.001.00Cholangiocarcinoma2019-01-162010-12-28RthepatectomyNaT2010-12-212010-12-21158.52010-12-2153.821.5<NA><NA>2010-12-153Sono2D간초음파정규검사<NA><NA>2010-12-152010-12-152010-12-20a)Specimencondition;informalin/intact b)Specimentype;liver,needlebiopsy c)Number;#1;two,#2;one d)Size;#1;upto1.0x0.1cm,#2;1.3x0.1cm -HistologyActivityIndexbyKoreanSocietyofPathology I.lobularactivity 1;Minimal(sinusoidallymphocytosiswithorwithout1orlessnecrosis/100배) II.Portal-periportalactivity 1;Minimal(mildportalinflammationwithorwithoutfocalPMNinFewportaltract) III.Staging(Fibrosis) 0;Nofibrosis(Normalconnectivetissue) -HistologyActivityIndexbyKnodell(TotalHAIscore=2) I.Periportal+/-bridgingnecrosis 0;None II.Intralobulardegenerationandfocalnecrosis 1;Mild(acidophilicbodies,ballooningdegenerationand/orscatteredfociof hepatocellularnecrosis<1/3oflobulesornodules) III.Portalinflammation 1;Mild(sprinklingofinflammatorycellsin<1/3ofportaltracts) IV.Fibrosis 0;Nofibrosis 1.Liver,needlebiopsy(#1); Spindlecelltumor,suggestiveforGastrointestinalstromaltumor. 2.Liver,needlebiopsy(#2); a)Minimallobularactivity. b)Minimalportoperiportalactivity. c)Nofibrosis.추가적인면역염색검사를시행중에있습니다.2010-12-281HepatectomyLobectomy[주수술]12010-12-282011-01-06<NA><NA><NA><NA><NA><NA><NA>NaT<NA><NA><NA><NA>
2664F2013-04-04 00:00:00C220.010.01HCCtypeB2013-04-102014-02-14Lap.Lt.lat.sectionectomy2016-02-062013-04-092013-04-09152.02013-04-0956.1524.3<NA><NA>2013-04-095MRILiverPrimovist(enhance)ComparedtothepreviousCTdatedon2013-4-3, 2.2cmsizedviableHCCshowingT2highSIandT1lowsignalwithenhancmentinarterialphaseandwashoutindelyedphaseisnoted. ComparedtothepreviousMRIdatedon201-9-17,nointervalchangeofsmalllowSInodulesatS6andS2ofliver.Theselesionsdonotshowarterialenhancement. Otherwiseunremarkable.About2.2cmsizedviableHCCatS6. LittleintervalchangeofdysplasticnodulesatS2andS6.2013-04-112013-04-112013-04-121.Alinearshapedtanbrowntissuefragment,measuring1.0x0.1cm,istotallyembedded. 2.Threelinearshapedtanbrowntissuefragment,measuringupto0.8x0.1cm, aretotallyembedded.1.Liver,`1`,biopsy(#1); Hepatocellularcarcinoma,gradeIbyEdmonson`s&Steiner. 2.Liver,`2`,biopsy(#2); Mildportallymphocyticinfiltration.2014-02-141HepatectomySegmentectomy[주수술]12014-02-142014-02-19expandingnodularno23absent<NA><NA>2016-02-06<NA><NA><NA><NA>
2776M2013-07-08 00:00:00C221.001.01Cholangioca2015-07-192013-07-26laparoscopicliverwedgeresection(seg#2)2015-07-222013-07-222013-07-22162.12013-07-2270.8526.9152892013-07-1110PETCTTorsoPROCEDURE: 검사직전에측정한환자의혈당치는119mg/dl,신장162cm,체중70kg이었고,F-18FDG9mCi를Lt.elbow에정맥주사하고1시간후에orbitomeatalline에서proximalthigh까지의torso영상을얻음. CLINICALINFORMATION 1.r/ocholangiocarcinoma,S2. 2.furtherevaluation&initialstaging. 종양표지자: AFP:5.1(13/6/28),normal<10 PIVKA-II:30(13/6/28),normal<40 CA19-9:18.58(13/6/28),normal<36.10 FINDINGS: HepaticS2에photondefect를포함한localizedFDGuptake이있음(SUVmax6.6). Bothlowerparatrachealareas,APwindow(3.6)andbothinterlobar/peribronchialareas(L2.7)에focalFDGuptakes있음. Rt.parotidspace,bothsubmandibularareas에도mildnodularFDGactivity보임. Lt.sidedprostategland에focalFDGuptake이있음(2.8). Periarticularareaofbothacromioclavicularjointsandbothshoulders에mildlyincreasedactivity보임. LLL에calcifiednodules이있음. 다른특이소견없음.1.FDG-avidmalignanttumorinhepaticS2. 2.Nodefiniteevidenceofmetastasis. 3.Morelikely,reactivenodesinmediastinum(4B,5),bothbothinterlobar/peribronchialareas,bothsubmandibularareas,Rt.parotidspace. 4.PossiblyfocalphysiologicactivityinLt.sidedprostategland. DDx.nodularhyperplasia. 5.Arthritisinbothacromioclavicularjointsandbothshoulders. 6.CalcifiedgranulomasinLLL.2014-02-272014-02-272014-03-03Threelinearshapedtanbrowntissuefragments,measuringupto1.5x0.1cm,aretotallyembedded.Liver,needlebiopsy; Adenocarcinoma,moderatelydifferentiated.2013-07-261HepatectomyWedgeResection12013-07-262013-08-01<NA><NA><NA><NA>absent<NA><NA>2015-07-22담관암담관암담관암<NA>
2861F1999-11-23 00:00:00C220.444.00Hepatocellularcarcinoma2007-03-082010-01-08Liverseg.#6segmentectomyNaT2009-12-072009-12-07152.82009-12-0777.233.4130742006-06-066CTChest(Lungmediastinum)(enhance)Cirrhoticconfigurationofliverwithseveralsmallnodularenhancinglesions Post-splenectomystate. MultipleenlargedLNswithhomogeneousenhancementpatterninRsupraclavciularregion,RhighestmediastinalnodalstationandRupper/lowerparat rachealregions,Rprevasculararea,Lpara-aorticandsubaorticnodalstationsandsubcarina. MultifocalpatchygroundglassattenuationandclusteredsmalldiscretenodulesinBlungs. AfocalirregularconsolidationatperpiheryofRlungbase.1.BilateralmediastinalandRsupraclavicularLAP; DDx.1)AtypicalsarcoidosisorSarcoidlikereactionassociatedwithunderlyingmalignancy. 2)Lesslikelymetastasis. 2.MultifocalGGOwithsmallnodulesinBlungs andAfocalnodularconsolidationinRLungbase. DDx.1)AtypicalsarcoidosisorSarcoidlikereaction. 2)Multifocalpneumoniawithinfectiousbronchiolitis. 3.UnderlyingLCwithprobablemultinodularHCCandPost-splenec tomystate. Rec) HRCT. LNbiopsy.2006-06-102006-06-102006-06-12Grossdescription Twopalebrownsofttissuefragments,upto0.1x0.1cm,aretotallyembedded. - Diagnosis Lung,needlebiopsy; Chronicinflammationwithinfiltrationofalveolarmacrophagesandafewforeign-bodytypemultinucleatedgiantcells,andfocalinterstitialfibrosis. Noevidenceofsarcoidosisisfoundinthemicroscopicexamination.2010-01-081HepatctomySegmentectomy12006-06-162006-06-21<NA><NA><NA><NA><NA>[AdditionalReport1:20060621] [판독결과] PCRformycobacteriumtuberculosis;negative-NaT<NA><NA><NA><NA>
2978F2011-11-26 00:00:00C220.000.01Hepatocellularcarcinoma2011-12-132013-05-02LaparoscopicPartialHepatectomy(Seg#6)2017-01-262011-11-282011-11-28154.42011-11-2874.9531.6<NA><NA>2011-11-285[응급]MRILiverPrimovist(enhance)LiverS5,6에약7.5x5.6cm크기의ill-definedirregularT2WhighSI,T1WlowSIlesion이있으며이는arterialphase에서peripheralenhancement를보이며portal,equlibriumphase로갈수록내부로enhancement를보이는양상임.hepatocytephase에서는lowsignalintensity를보임.DWI에서는highsignalintensity를보이고ADC에서는lowsignalintensity를보임. 또한capsularretraction을동반하고있고,인접한Rtintrahepaticbileduct로milddilatation을동반하고있음.Rtportalvein에lowdensity의thrombosis를보임. S2에tinyT2WhighSI,T1lowSI를보이는cyst가있음. Retrocavalarea에약1cm정도의LN가있음. R3조형지/pf.변재영1.R/OAtypicalHCCattheliver,S5,6 ddx.cholangiocarcinoma 2.PortalveintumorthrombosisattheRtportalvein. 3.Atinycystintheliver,S2. 4.A1cmsizedLNattheretrocavalarea.2011-11-302011-11-302011-12-021.Threelinearshapedtanbrowntissuefragments,1.6x0.1cm,aretotallyembedded. 2.Twolinearshapedtanbrowntissuefragments,1.5x0.1cm,aretotallyembedded. -HistologyActivityIndexbyKoreanSocietyofPathology I.lobularactivity 1;Minimal(sinusoidallymphocytosiswithorwithout1orlessnecrosis/100배) II.Portal-periportalactivity 1;Minimal(mildportalinflammationwithorwithoutfocalPMNinFewportaltract) III.Staging(Fibrosis) 4;Cirrhosis(Diffusenodularformation) -HistologyActivityIndexbyKnodell(TotalHAIscore=6) I.Periportal+/-bridgingnecrosis 0;None II.Intralobulardegenerationandfocalnecrosis 1;Mild(acidophilicbodies,ballooningdegenerationand/orscatteredfociofhepatocellular necrosis<1/3oflobulesornodules) III.Portalinflammation 1;Mild(sprinklingofinflammatorycellsin<1/3ofportaltracts) IV.Fibrosis 4;Cirrhosis 1.Liver,tumor,needlebiopsy(#1); Hepatocellularcarcinoma,gradeⅢbyEdmondson&Steiner. 2.Liver,needlebiopsy(#2); Chronichepatitis,undeterminedcause, withminimallobularactivity, withminimalportoperiportalactivity, withcirrhosis.2013-05-021HepatectomyWedgeResection[주수술]12013-05-022013-05-07multinodularconfluentno22absent<NA><NA>2017-01-26<NA><NA><NA><NA>