Table 4.
AUCs of Nomogram, radiomics Signature, ER status, and PR status for pCR prediction in Trarining and Test sets.
Nomogram(95% CI) | Signature (95% CI) | ER status(95% CI) | PR status(95% CI) | |
---|---|---|---|---|
Training set | 0.888 (0.814–0.94) | 0.835 (0.753–0.899) | 0.658 (0.562–0.746) | 0.693 (0.598–0.777) |
Nomogram vs. other metrics | 0.0956 | <0.0001* | 0.0015* | |
Signature vs. other metrics | 0.0133# | 0.075 | ||
ER status vs. PR status | 0.06392 | |||
Test set | 0.879 (0.752–0.955) | 0.834 (0.699–0.926) | 0.716 (0.567–0.837) | 0.642 (0.491–0.775) |
Nomogram vs. other metrics | 0.1446 | 0.0384* | 0.0066* | |
Signature vs. other metrics | 0.2239 | 0.0366# | ||
ER status vs. PR status | 0.5265 |
p-value refers to Delong test for the differences of AUCs between different metrics in different cohorts,
p < 0.05, with significant differences for AUCs of Signature, ER status, and PR status compared with that of nomogram.
p < 0.05, with significant differences for AUCs of ER status and PR status compared with that of Signature.