Objectives We systematically reviewed the current literature evaluating the ability of fully- automated deep learning (DL) and semi-automated traditional machine learning (TML) MRI …
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 …
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 …
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 …
Rationale and objectives Prostate MRI improves detection of clinically significant prostate cancer; however, its diagnostic performance has wide variation. Artificial intelligence (AI) …
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 …
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 …
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 …
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 …