PI-RADS version 2.1: one small step for prostate MRI

T Barrett, A Rajesh, AB Rosenkrantz, PL Choyke… - Clinical radiology, 2019 - Elsevier
Multiparametric (mp) prostate magnetic resonance imaging (MRI) is playing an increasingly
prominent role in the diagnostic work-up of patients with suspected prostate cancer …

Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a …

N Sushentsev, N Moreira Da Silva, M Yeung… - Insights into …, 2022 - Springer
Objectives We systematically reviewed the current literature evaluating the ability of fully-
automated deep learning (DL) and semi-automated traditional machine learning (TML) MRI …

Intra‐and interreader reproducibility of PI‐RADSv2: A multireader study

CP Smith, SA Harmon, T Barrett… - Journal of Magnetic …, 2019 - Wiley Online Library
Background The Prostate Imaging Reporting and Data System version 2 (PI‐RADSv2) has
been in use since 2015; while interreader reproducibility has been studied, there has been a …

Deep‐learning‐based artificial intelligence for PI‐RADS classification to assist multiparametric prostate MRI interpretation: a development study

T Sanford, SA Harmon, EB Turkbey… - Journal of Magnetic …, 2020 - Wiley Online Library
Background The Prostate Imaging Reporting and Data System (PI‐RADS) provides
guidelines for risk stratification of lesions detected on multiparametric MRI (mpMRI) of the …

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 …

A cascaded deep learning–based artificial intelligence algorithm for automated lesion detection and classification on biparametric prostate magnetic resonance …

S Mehralivand, D Yang, SA Harmon, D Xu, Z Xu… - Academic radiology, 2022 - Elsevier
Rationale and objectives Prostate MRI improves detection of clinically significant prostate
cancer; however, its diagnostic performance has wide variation. Artificial intelligence (AI) …

Optimising prostate mpMRI: prepare for success

I Caglic, T Barrett - Clinical radiology, 2019 - Elsevier
Highlights•Routine use of antiperistaltic agents prior to mpMRI is recommended.•Rectal
distension significantly distorts DWI and should be minimized prior to mpMRI.•3 days …

Prospective evaluation of PI-RADS version 2.1 for prostate cancer detection

SM Walker, S Mehralivand… - American Journal of …, 2020 - Am Roentgen Ray Soc
OBJECTIVE. The purpose of this study was to prospectively evaluate Prostate Imaging
Reporting and Data and System version 2.1 (PI-RADSv2. 1), which was released in March …

Prevalence of prostate cancer in PI-RADS version 2.1 transition zone atypical nodules upgraded by abnormal DWI: Correlation with MRI-directed TRUS-guided …

CS Lim, J Abreu-Gomez, I Carrion… - American Journal of …, 2021 - Am Roentgen Ray Soc
Please see the Editorial Comment by Rajan T. Gupta discussing this article.
BACKGROUND. In PI-RADS version 2.1 (v2. 1), atypical transition zone (TZ) nodules …

Towards patient-individual PI-Rads v2 sector map: CNN for automatic segmentation of prostatic zones from T2-weighted MRI

A Meyer, M Rakr, D Schindele… - 2019 IEEE 16th …, 2019 - ieeexplore.ieee.org
Automatic segmentation of the prostate, its inner and surrounding structures is highly
desired for various applications. Several works have been presented for segmentation of …