The clinical value of magnetic resonance imaging T2WI texture analysis in the diagnosis of prostate cancer

Abstract

Objective To evaluate the clinical value of magnetic resonance imaging T2WI texture analysis in the diagnosis of prostate cancer. Methods A total of 78 patients with pathological-confirmed prostate cancer and prostatic hyperplasia from Jan. 2016 to Dec. 2018 in our hospital were retrospectively collected. MaZda software was used to analyze 300 texture feature parameters of each lesion on T2WI images, and Weka software was used to select the most discriminative texture feature parameters. The differences of texture features between the two groups and diagnostic efficacy were compared by independent sample t test, Mann-Whitney U test and ROC. Results There were 7 texture feature parameters of the most discriminative significance between the two groups: AngScMom, Contrast, Entropy, Horzl_GLevNonU, 45dgr_RLNonUni, WavEnLL_s-1 and WavEnHL_s-3, respectively. There were significant differences in 7 texture feature parameters between prostate cancer group and prostate hyperplasia group (P<0.05) . The AUC of each texture feature was between 0.78 and 0.91, the accuracy was between 79.6% and 92.1%, the sensitivity was between 70.8% and 91.9%, and the specificity was between 72.2% and 92.5%, respectively. Conclusions The texture features parameters of T2WI images are different in the diagnosis of prostate cancer and prostatic hyperplasia. As an objective and quantitative analysis method, texture features analysis can be used in the differential diagnosis of prostate cancer and prostatic hyperplasia. Key words: Magnetic resonance imaging; Texture analysis; Prostate cancer; Prostatic hyperplasia