Figure 3: Performance of Anisotropy as a recurrence predictor. | Scientific Reports

Figure 3: Performance of Anisotropy as a recurrence predictor.

From: Prediction of prostate cancer recurrence using quantitative phase imaging: Validation on a general population

Figure 3

The performance of anisotropy as a recurrence predictor was compared across the low (0–2), intermediate (3–5) and high (6–11) CAPRA-S ranges. (A) At the low CAPRA-S range, the probability of recurrence was 7.5% and anisotropy (AUC 0.66) predicted recurrence with 70% sensitivity and 75% specificity. (B) At the intermediate CAPRA-S range, the probability of recurrence was 31.1%. Anisotropy (AUC 0.79) identified recurrence with 71% sensitivity and 65% specificity. (C) At the high CAPRA-S range, the probability of recurrence was 64.3% and anisotropy (AUC 0.71) identified recurrence with 78% sensitivity and 80% specificity.

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