Altered systemic and cellular lipid metabolism plays a pivotal role in the pathogenesis of prostate cancer. In this study, we aimed to characterize T1-MRI derived radiomic parameters of periprostatic adipose tissue (PPAT) associated with clinically significant prostate cancer (Gleason score ≥ 7 (3+4)) in a cohort of men who underwent robot-assisted prostatectomy.
Preoperative magnetic resonance imaging (MRI) of 98 patients were identified. The volume of interest (VOI) was defined by identifying an annular shell-like region on each MRI slice to include all surgically resectable visceral adipose tissue. An optimal biomarker method was used to identify features from 7,631 intensity- and texture-based properties that maximized the classification of patients into clinically significant prostate cancer and indolent tumors at the final pathology.
Six highest-ranked optimal features were derived, which demonstrated a sensitivity, specificity, and accuracy of association with the presence of clinically significant prostate cancer, and area under a receiver operating characteristic curve of 0.95, 0.39 0.82, and 0.82, respectively.
A highly independent set of PPAT features derived from MRI scans that predict patients with clinically significant prostate cancer was developed and tested. With future external validation, these features may provide a more precise scientific basis for deciding to omit biopsies in patients with borderline PSA kinetics and mpMRI readings and help in the decision of enrolling patients into active surveillance.
Journal of endourology. 2023 Aug 19 [Epub ahead of print]
Mohammed Shahait, Ruben Usamentiaga, Yubing Tong, Alex Sandberg, David I Lee, Jayaram K Udupa, Drew Torigian
Clemenceau Medical Center Dubai, 613429, Urology , Dubai, Dubai, United Arab Emirates; ., University of Oviedo Gijon Campus, 549743, Gijon, Asturias, Spain; ., University of Pennsylvania, 6572, Philadelphia, Pennsylvania, United States; ., Temple University, 6558, Philadelphia, Pennsylvania, United States; ., University of California Irvine, 8788, Irvine, California, United States; ., University of Pennsylvania, 6572, Philadelphia, Pennsylvania, United States; ., University of Pennsylvania, 6572, Philadelphia, Pennsylvania, United States; .