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 …

Prospective evaluation of PI-RADS version 2.1 for prostate cancer detection and investigation of multiparametric MRI–derived markers

EC Yilmaz, JH Shih, MJ Belue, SA Harmon, TE Phelps… - Radiology, 2023 - pubs.rsna.org
Background Data regarding the prospective performance of Prostate Imaging Reporting and
Data System (PI-RADS) version 2.1 alone and in combination with quantitative MRI features …

CT texture analysis and node-RADS CT score of mediastinal lymph nodes-diagnostic performance in lung cancer patients

HJ Meyer, B Schnarkowski, J Pappisch, T Kerkhoff… - Cancer Imaging, 2022 - Springer
Background Texture analysis derived from computed tomography (CT) can provide clinically
relevant imaging biomarkers. Node-RADS is a recently proposed classification to categorize …

Inter-reader agreement of the Prostate Imaging Quality (PI-QUAL) score: a bicentric study

R Girometti, A Blandino, C Zichichi, G Cicero… - European Journal of …, 2022 - Elsevier
Purpose To investigate the inter-reader agreement of the Prostate imaging quality (PI-QUAL)
for multiparametric magnetic resonance imaging (mpMRI). Methods We included 66 men …

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 …

[HTML][HTML] Federated learning with research prototypes: Application to multi-center MRI-based detection of prostate cancer with diverse histopathology

A Rajagopal, E Redekop, A Kemisetti, R Kulkarni… - Academic radiology, 2023 - Elsevier
Rationale and Objectives. Early prostate cancer detection and staging from MRI is extremely
challenging for both radiologists and deep learning algorithms, but the potential to learn …

Inter-reader agreement of the prostate imaging reporting and data system version v2. 1 for detection of prostate cancer: A systematic review and meta-analysis

J Wen, Y Ji, J Han, X Shen, Y Qiu - Frontiers in Oncology, 2022 - frontiersin.org
Objectives We aimed to systematically assess the inter-reader agreement of the Prostate
Imaging Reporting and Data System Version (PI-RADS) v2. 1 for the detection of prostate …

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 …

Comparison of diagnostic performance and inter-reader agreement between PI-RADS v2. 1 and PI-RADS v2: systematic review and meta-analysis

CH Lee, B Vellayappan, CH Tan - The British Journal of …, 2022 - academic.oup.com
Objectives: To perform a systematic review and meta-analysis comparing diagnostic
performance and inter reader agreement between PI-RADS v. 2.1 and PI-RADS v. 2 in the …