Factors in Pi-Rads 3 and 4 Prostate Lesions that Predict The Risk of Clinically Significant Cancer [electronic resource].

9781085582650

Ann Arbor : ProQuest Dissertations & Theses, 2019.

1 online resource (48 p.)

Access is available to the Yale community.

Background: Prostate imaging reporting and data system (PI-RADS) is a reporting scheme designed to stratify prostate lesions found on multiparametric MRI (mpMRI) according to their risk of harboring clinically significant prostate cancer (csPCa). In order to reduce the number of unnecessary prostate biopsies and improve pre-biopsy prognostic information, we aimed to evaluate whether there were factors that could further predict the risk of finding csPCa in PI-RADS 3 (P3) and PI-RADS 4 (P4) lesions. Methods: We queried the Yale and University of Alabama at Birmingham (UAB) MRI fusion biopsy databases for men without a prior diagnosis of csPCa and with a P3 or P4 lesion detected on mpMRI who underwent fusion biopsy from Jan. 2015-Oct. 2017. The rates of csPCa were compared between selected study groups. Results: In men with a P3 lesion, the best predictor of a negative biopsy for csPCa was a smaller prostate volume and a lower PSA density. In men with a P4 lesion, additional low-grade PI-RADS lesions lowered the risk of csPCa, while additional high-grade PI-RADS lesions increased the risk of csPCa in a P4 lesion. Conclusions: Certain men with a P3 lesion and a low PSA density may be able to safely avoid prostate biopsy. Evaluating additional regions of interest in a patient with a P4 lesion yields supplementary prognostic information.

Dissertations & Theses @ Yale University.

Books / Online / Dissertations & Theses

English

January 17, 2020

Thesis (M.D.)--Yale University, 2019.

Yale University. School of Medicine.