Skip to main content

Table 4 The selected features with the best performance for LNM

From: Machine learning-based Radiomics analysis for differentiation degree and lymphatic node metastasis of extrahepatic cholangiocarcinoma

Number

Sequence

Feature

1

ADC

Variance

2

ADC

S(1,1)Correlat

3

ADC

S(2,-2)SumVarnc

4

ADC

S(0,4)Entropy

5

ADC

S(5,0)SumAverg

6

ADC

Teta3

7

ADC

WavEnLH_s-4

8

DWI

Variance

9

DWI

S(2,0)DifEntrp

10

DWI

S(3,-3)SumOfSqs

11

DWI

S(4,0)Contrast

12

DWI

S(5,0)Entropy

13

DWI

45dgr_LngREmph

14

DWI

WavEnLL_s-4

15

T1WI

S(3,0)SumAverg

16

T1WI

S(3,3)SumVarnc

17

T1WI

S(0,5)SumEntrp

18

T1WI

S(5,-5)SumOfSqs

19

T1WI

S(5,-5)DifVarnc

20

T1WI

Vertl_RLNonUni

21

T1WI

WavEnLL_s-1

22

T1WI

WavEnHH_s-1

23

T2WI

Skewness

24

T2WI

S(0,1)DifVarnc

25

T2WI

S(2,0)SumAverg

26

T2WI

S(2,2)InvDfMom

27

T2WI

S(3,0)SumOfSqs

28

T2WI

S(5,-5)DifVarnc

29

T2WI

WavEnLH_s-2

30

T2WI

WavEnHH_s-4

  1. Axial T1-precontrast weighted imaging, T1WI; axial T2-weighted imaging, T2WI; axial diffusion weighted imaging, DWI; Apparent diffusion coefficient, ADC