Cancer detection rates of the PI-RADSv2. 1 assessment categories: systematic review and meta-analysis on lesion level and patient level

B Oerther, H Engel, F Bamberg, A Sigle… - Prostate cancer and …, 2022 - nature.com
Abstract Background The Prostate Imaging Reporting and Data System, version 2.1 (PI-
RADSv2. 1) standardizes reporting of multiparametric MRI of the prostate. Assigned …

Update on PI-RADS version 2.1 diagnostic performance benchmarks for prostate MRI: systematic review and meta-analysis

B Oerther, A Nedelcu, H Engel, C Schmucker… - Radiology, 2024 - pubs.rsna.org
Background Prostate MRI for the detection of clinically significant prostate cancer (csPCa) is
standardized by the Prostate Imaging Reporting and Data System (PI-RADS), currently in …

Quality checkpoints in the MRI-directed prostate cancer diagnostic pathway

T Barrett, M de Rooij, F Giganti, C Allen… - Nature Reviews …, 2023 - nature.com
Multiparametric MRI of the prostate is now recommended as the initial diagnostic test for
men presenting with suspected prostate cancer, with a negative MRI enabling safe …

Application of a validated prostate MRI deep learning system to independent same-vendor multi-institutional data: demonstration of transferability

N Netzer, C Eith, O Bethge, T Hielscher, C Schwab… - European …, 2023 - Springer
Objectives To evaluate a fully automatic deep learning system to detect and segment
clinically significant prostate cancer (csPCa) on same-vendor prostate MRI from two different …

Characterization of high-grade prostate cancer at multiparametric MRI: assessment of PI-RADS version 2.1 and version 2 descriptors across 21 readers with varying …

F Di Franco, R Souchon, S Crouzet, M Colombel… - Insights into …, 2023 - Springer
Abstract Objective To assess PI-RADSv2. 1 and PI-RADSv2 descriptors across readers with
varying experience. Methods Twenty-one radiologists (7 experienced (≥ 5 years) seniors, 7 …

Prediction of upgrade to clinically significant prostate cancer in patients under active surveillance: Performance of a fully automated AI‐algorithm for lesion detection …

B Oerther, H Engel, A Nedelcu, CL Schlett… - The …, 2023 - Wiley Online Library
Abstract Background Multiparametric MRI (mpMRI) improves the detection of aggressive
prostate cancer (PCa) subtypes. As cases of active surveillance (AS) increase and tumor …

Deep learning-based PI-RADS score estimation to detect prostate cancer using multiparametric magnetic resonance imaging

K Yildirim, M Yildirim, H Eryesil, M Talo… - Computers and …, 2022 - Elsevier
Prostate cancer (PCa) is the most common type of cancer among men. Digital rectal
examination and prostate-specific antigen (PSA) tests are used to diagnose the PCa …

The future direction of imaging in prostate cancer: MRI with or without contrast injection

M Pecoraro, E Messina, M Bicchetti, G Carnicelli… - …, 2021 - Wiley Online Library
Abstract Background Multiparametric MRI (mpMRI) is the “state of the art” management tool
for patients with suspicion of prostate cancer (PCa). The role of non‐contrast MRI is …

Interobserver agreement and accuracy in interpreting mpMRI of the prostate: a systematic review

A Annamalai, JN Fustok, J Beltran-Perez… - Current Urology …, 2022 - Springer
Abstract Purpose of Review To present the latest evidence related to interobserver
agreement and accuracy; evaluate the strengths, weaknesses, and implications of use; and …

Effectiveness and Accuracy of MRI‐Ultrasound Fusion Targeted Biopsy Based on PI‐RADS v2. 1 Category in Transition/Peripheral Zone of the Prostate

Y Liu, S Wang, G Xu, B Zhou, Y Zhang… - Journal of Magnetic …, 2023 - Wiley Online Library
Background MRI‐ultrasound fusion targeted biopsy (MRI‐TBx) improves the clinically
significant prostate cancer (csPCa) detection with fewer cores. However, whether systematic …