Table 3.

Mean area under the curve values show the ability of univariable predictors, comparisons of computer-extracted features with Gleason sum, and multivariable Kattan and Stephenson nomograms with TABS for predicting recurrence in prostate cancer patients following radical prostatectomy for 100 runs of threefold random forest classification

Gleason sum	Tumor stage		Surgical margin	PSA
0.72 (0.68–0.76)	0.68 (0.68–0.69)		0.71 (0.70–0.72)	0.63 (0.59–0.67)
	Tumor QH		Benign QH	TABS
Without Gleason sum	0.68 (0.61–0.75)		0.72 (0.64–0.80)	0.77 (0.69–0.85)
With Gleason sum	0.73 (0.65–0.80)		0.78 (0.67–0.84)	0.81 (0.72–0.87)
		Kattan		Stephenson
Without TABS		0.84 (0.77–0.89)		0.80 (0.71–0.85)
With TABS		0.90 (0.83–0.94)		0.89 (0.84–0.92)

PSA = prostate-specific antigen; QH = quantitative histomorphometry; TABS = tumor plus adjacent benign signature.

Data are shown as mean area under the curve (95% confidence interval). Best classification performance metrics are highlighted in bold.