Figure 1: Optical anisotropy as a predictor of prostate cancer recurrence. | Scientific Reports

Figure 1: Optical anisotropy as a predictor of prostate cancer recurrence.

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

Figure 1

(A) Histograms of the distribution of anisotropy in the single layer of stroma surrounding 6–18 glands from 33 patients with post-prostatectomy biochemical recurrence of prostate cancer and 159 non-recurrent patients. The bin-size on the histogram was set at 0.02. The anisotropy value is lower in the recurrent patients, compared to the non-recurrent patients (One-way ANOVA, p = 7.05 × 10−5) (B) Kaplan-Meier survival curve with end-point as disease recurrence for 67 patients with low anisotropy values (0.83–0.93) and 125 patients with high anisotropy values (0.93–0.97).

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