Textural differences based on apparent diffusion coefficient maps for discriminating pT3 subclasses of rectal adenocarcinoma

Table 4 Diagnostic performances of texture features and logistic feature to discriminate pT3a rectal adenocarcinomas from pT3b-c tumors

Texture features	AUC (95%CI)	Sensitivity	Specificity	+LR	-LR	+PV	-PV	Comparison of AUC (P value)
								Skewness	Energy	Entropy	Logistic feature
Skewness	0.686 (0.552-0.801)	75.9%	63.3%	2.07	0.38	66.7	73.1	—	0.7469	0.4667	0.1471
Energy	0.657 (0.522-0.776)	86.2%	43.3%	1.52	0.32	59.5	76.2		—	0.0956	0.0617
Entropy	0.747 (0.617-0.851)	75.9%	63.3%	2.07	0.38	66.7	73.1			—	0.3998
Logistic feature	0.775 (0.647-0.873)	69.0%	83.3%	4.14	0.37	80.0	73.5				—

AUC: Area under the curve; CI: Confidence interval; LR: Likelihood ratio; PV: Predictive value.