Prostate
Reducing Workflow and Read-Time of Prostate MRIs with DeepHealth’s AI-Assisted Software
DeepHealth
Kaminer. Nov 2024
The workflows of two centers were analyzed before and after the installation of DeepHealth’s prostate solution software. Time was reduced in the scan evaluation process (radiologists’ read-time) by 14.1% over two centers with 8 out of 9 radiologists decreasing their evaluation time. With the software’s automatic targeting for fusion biopsies, time was also reduced in the overall workflow for biopsy-recommended cases by 232 hours (6 weeks), or 37%.
Diagnostic Utility of Artificial Intelligence–assisted Transperineal Biopsy Planning in Prostate Cancer Suspected Men: A Prospective Cohort Study
European Urology Focus
Guenzel et al. Sep 2024
Accurate magnetic resonance imaging (MRI) reporting is essential for transperineal prostate biopsy (TPB) planning. This study documented the diagnostic utility of using PI-RADS and CAD for biopsy planning compared with PI-RADS alone. A total of 262 consecutive men scheduled for TPB were analyzed. The tested CAD tool for TPB planning improved csPCa detection at the cost of an increased number of lesions sampled and false positives. This may enable more personalized biopsy planning depending on urological and patient preferences.
Retrospective analysis of radiotherapy plans for prostate cancer after revision of MRI targeted lesions detected by Quantib (now DeepHealth)
Bridging the experience gap in prostate multiparametric magnetic resonance imaging using artificial intelligence: A prospective multi-reader comparison study on inter-reader agreement in PI-RADS v2.1, image quality and reporting time between novice and expert readers.
Ali Forookhi, Ludovica Laschena, Martina Pecoraro, Antonella Borrelli, Michele Massaro, Ailin Dehghanpour, Stefano Cipollari, Carlo Catalano, Valeria Panebianco
Quantib® Prostate Compared to an Expert Radiologist for the Diagnosis of Prostate Cancer on mpMRI: A Single-Center Preliminary Study
Tomography
Faiella et al. Aug 2022
This study evaluated the clinical utility of an Artificial Intelligence (AI) radiology solution for prostate cancer (PCa) lesions detection on multiparametric Magnetic Resonance Images (mpMRI). Prostate mpMRI exams of 108 patients were retrospectively studied. The diagnostic performance of an expert radiologist and of an inexperienced radiologist aided by AI were compared. The results demonstrated that the AI software is a very sensitive tool to use, specifically in high-risk patients (those with high PIRADS and high Gleason score).