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Table 2 Predicted probability of signatures and in training and validation set

From: Development and validation of a radiopathomic model for predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer patients

Training Set

Non-pCR(n = 94)

pCR(n = 61)

p

RS

0.31(0.20,0.41)

0.46(0.40,0.71)

 < 0.001

PS

0.28(0.19,0.44)

0.55(0.38,0.63)

 < 0.001

DLPS

0.21(0.15,0.37)

0.60(0.44,0.66)

 < 0.001

Validation Set

Non-pCR(n = 35)

pCR(n = 21)

p

RS

0.34 ± 0.18

0.54 ± 0.16

 < 0.001

PS

0.34 ± 0.14

0.51 ± 0.20

0.002

DLPS

0.19(0.10,0.35)

0.44(0.29,0.56)

 < 0.001

  1. Skewed distributed variable values: median (interquartile range), Normally distributed variable values: mean ± standard deviation