Table 2 Pre-scores of prediction models and their compositions of TET patients in the training cohort

 Smooth

53 (86.89%)

30 (50.85%)

0.00

 Rough

8 (13.11%)

29 (49.15%)

 clear

45 (73.77%)

20 (33.90%)

0.00

 unclear

16 (26.23%)

39 (66.10%)

MeanValue

68.63 (56.52, 78.55) ^a

48.84 (40.82, 58.18) ^a

0.00

SHAPE_Sphericity

0.95 (0.93, 0.97) ^a

0.93 (0.90, 0.96) ^a

0.01

NGLDM_Busyness

1.13 (0.36, 3.64) ^a

0.91 (0.43, 1.63) ^a

0.01

Pre-scores (Clinical model)

−0.11 (−0.23, 0.06) ^a

−0.01 (−0.11, 0.13) ^a

0.00

Pre-scores (CT model)

− 0.37 (− 0.50, − 0.22) ^a

0.29 (− 0.33, 0.63) ^a

0.00

Pre-scores (TA model)

−0.53 (− 0.85, 0.02) ^a

0.32 (− 0.01, 0.76) ^a

0.00

Pre-scores (Combined model)

− 0.53 (− 0.99, − 0.05) ^a

0.52 (0.03, 0.84) ^a

0.00