PROVIZ - a Machine Learning Software, to Support Targeting of Prostate Biopsies on MR Images in Biopsy-naive Patients

After referral for suspected prostate cancer, the patient is scanned with magnetic resonance imaging (MRI) in accordance with guidelines of the standardized healthcare pathway. For consenting patients, the images are interpreted in two ways: first, in the conventional manner, i.e., manually by a radiologist, to determine whether clinically significant cancer is suspected. If so, the radiologist will delineate the suspicious lesions. In the second approach, the software will perform the same task as the radiologist, but automatically. If either or both interpretations point to significant cancer, the patient will be sent for targeted biopsy sampling. Histopathologic evaluation of the samples will then determine whether significant cancer is present in each of the targeted lesions (delineated by the radiologist, software, or both).