Magnetic Resonance Imaging, Clinical, and Biopsy Findings in Suspected Prostate Cancer: A Systematic Review and Meta-Analysis

A Haj-Mirzaian, KS Burk, R Lacson, DI Glazer… - JAMA Network …, 2024 - jamanetwork.com
Importance Multiple strategies integrating magnetic resonance imaging (MRI) and clinical
data have been proposed to determine the need for a prostate biopsy in men with suspected …

Comparison of biparametric and multiparametric mri for clinically significant prostate cancer detection with PI‐RADS version 2.1

T Tamada, A Kido, A Yamamoto… - Journal of Magnetic …, 2021 - Wiley Online Library
Background Biparametric MRI (bpMRI) without dynamic contrast‐enhanced MRI (DCE‐MRI)
results in an elimination of adverse events, shortened examination time, and reduced costs …

Patients with “Gray Zone” PSA levels: Application of prostate MRI and MRS in the diagnosis of prostate cancer

X Li, C Li, M Chen - Journal of Magnetic Resonance Imaging, 2023 - Wiley Online Library
Improving the detection rates of prostate cancer (PCa) and avoiding unnecessary prostate
biopsies in men with prostate‐specific antigen (PSA) levels within the gray zone require …

Avoiding unnecessary biopsy: MRI-based risk models versus a PI-RADS and PSA density strategy for clinically significant prostate cancer

D Deniffel, GM Healy, X Dong, S Ghai… - Radiology, 2021 - pubs.rsna.org
Background In validation studies, risk models for clinically significant prostate cancer
(csPCa; Gleason score≥ 3+ 4) combining multiparametric MRI and clinical factors have …

Evaluation of a multiparametric MRI radiomic-based approach for stratification of equivocal PI-RADS 3 and upgraded PI-RADS 4 prostatic lesions

V Brancato, M Aiello, L Basso, S Monti, L Palumbo… - Scientific reports, 2021 - nature.com
Despite the key-role of the Prostate Imaging and Reporting and Data System (PI-RADS) in
the diagnosis and characterization of prostate cancer (PCa), this system remains to be …

Utility of machine learning of apparent diffusion coefficient (ADC) and T2-weighted (T2W) radiomic features in PI-RADS version 2.1 category 3 lesions to predict …

CS Lim, J Abreu-Gomez, R Thornhill, N James… - Abdominal …, 2021 - Springer
Purpose To evaluate if machine learning (ML) of radiomic features extracted from apparent
diffusion coefficient (ADC) and T2-weighted (T2W) MRI can predict prostate cancer (PCa) …

Diagnostic performance of prostate-specific antigen density for detecting clinically significant prostate cancer in the era of magnetic resonance imaging: a systematic …

S Wang, J Kozarek, R Russell, M Drescher… - European Urology …, 2024 - Elsevier
Context There has been a dramatic increase in the use of prostate magnetic resonance
imaging (MRI) in the diagnostic workup. With prostate volume calculated from MRI, prostate …

Improvement of PI-RADS-dependent prostate cancer classification by quantitative image assessment using radiomics or mean ADC

KS Zhang, P Schelb, S Kohl, JP Radtke… - Magnetic resonance …, 2021 - Elsevier
Background Currently, interpretation of prostate MRI is performed qualitatively. Quantitative
assessment of the mean apparent diffusion coefficient (mADC) is promising to improve …

Single center analysis of an advisable control interval for follow-up of patients with PI-RADS category 3 in multiparametric MRI of the prostate

M Boschheidgen, L Schimmöller, S Doerfler… - Scientific Reports, 2022 - nature.com
To evaluate if follow-up mpMRI scans of patients in PI-RADS category 3 are safe enough to
omit or delay prostate biopsy in the future and to determine an optimal control interval. This …

Analysis of risk factors for determining the need for prostate biopsy in patients with negative MRI

L Liang, F Qi, Y Cheng, L Zhang, D Cao, G Cheng… - Scientific Reports, 2021 - nature.com
To analyze the clinical characteristics of patients with negative biparametric magnetic
resonance imaging (bpMRI) who didn't need prostate biopsies (PBs). A total of 1,012 male …