T2 mapping for the characterization of prostate lesions.

Purpose of this study is to evaluate the diagnostic accuracy of quantitative T2/ADC values in differentiating between PCa and lesions showing non-specific inflammatory infiltrates and atrophy, features of chronic prostatitis, as the most common histologically proven differential diagnosis.

In this retrospective, single-center cohort study, we analyzed 55 patients suspected of PCa, who underwent mpMRI (3T) including quantitative T2 maps before robot-assisted mpMRI-TRUS fusion prostate biopsy. All prostate lesions were scored according to PI-RADS v2.1. Regions of interest (ROIs) were annotated in focal lesions and normal prostate tissue. Quantitative mpMRI values from T2 mapping and ADC were compared using two-tailed t tests. Receiver operating characteristic curves (ROCs) and cutoff were calculated to differentiate between PCa and chronic prostatitis.

Focal lesions showed significantly lower ADC and T2 mapping values than normal prostate tissue (p < 0.001). PCa showed significantly lower ADC and T2 values than chronic prostatitis (p < 0.001). ROC analysis revealed areas under the receiver operating characteristic curves (AUCs) of 0.85 (95% CI 0.74-0.97) for quantitative ADC values and 0.84 (95% CI 0.73-0.96) for T2 mapping. A significant correlation between ADC and T2 values was observed (r = 0.70; p < 0.001).

T2 mapping showed high diagnostic accuracy for differentiating between PCa and chronic prostatitis, comparable to the performance of ADC values.

World journal of urology. 2022 Mar 31 [Epub ahead of print]

Tobias Hepp, Laura Kalmbach, Manuel Kolb, Petros Martirosian, Tom Hilbert, Wolfgang M Thaiss, Mike Notohamiprodjo, Jens Bedke, Konstantin Nikolaou, Arnulf Stenzl, Stephan Kruck, Sascha Kaufmann

Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Hoppe-Seyler-Str. 3, 72076, Tübingen, Germany., Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Hoppe-Seyler-Str. 3, 72076, Tübingen, Germany. ., Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland., Department of Nuclear Medicine, University Hospital Ulm, Albert-Einstein-Allee 23, 89081, Ulm, Germany., Department of Urology, University Hospital Tuebingen, Hoppe-Seyler-Str. 3, 72076, Tübingen, Germany., Clinic of Urology, Siloah St. Trudpert Klinikum, Wilferdinger Str. 67, 75179, Pforzheim, Germany.