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. 2022 Nov 23;12:948557. doi: 10.3389/fonc.2022.948557

Table 3.

Diagnostic performance of the hybrid model for the prediction of mitotic index.

Development set Test set
Per slice Per patient a Per slice Per patient a
AUROC (95% CI) 0.960 (0.947–0.973) 0.913 (0.851–0.975) 0.947 (0.927–0.968) 0.930 (0.828–1.000)
AUPRC (95% CI) 0.968 (0.956–0.977) 0.887 (0.787–0.954) 0.964 (0.930–0.978) 0.941 (0.792–1.000)
Acc (95% CI) 91.4 (89.3–93.0) 91.4 (83.2–95.8) 90.8 (88.0–93.0) 93.6 (79.3–98.2)
Sen (95% CI) 91.6 (88.5–93.9) 92.7 (79.0–98.1) 92.1 (88.5–94.6) 95.0 (73.1–99.7)
Spe (95% CI) 91.1 (88.0–93.5) 90.0 (75.4–96.7) 88.5 (82.9–92.5) 90.9 (57.1–99.5)
PPV (95% CI) 91.4 (88.3–93.7) 90.5 (76.5–96.9) 93.4 (90.1–95.7) 95.0 (73.1–99.7)
NPV (95% CI) 91.3 (88.2–93.7) 92.3 (78.0–98.0) 86.2 (80.4–90.6) 90.9 (57.1–99.5)

AUROC, area under the receiver operating characteristics curve; AUPRC, area under the precision–recall curve; Acc, accuracy; Sen, sensitivity; Spe, specificity; PPV, positive predictive value; NPV, negative predictive value.

a

Since each patient yielded multiple tumor slices, the diagnostic accuracy per patient was calculated from the mean value of the all-predicted probabilities per patient.