Prospective Validation of an Automated Hybrid Multidimensional MRI Tool for Prostate Cancer Detection Using Targeted Biopsy: Comparison with PI-RADS-based Assessment
- 1 January 2025
- journal article
- research article
- Published by Radiological Society of North America (RSNA) in Radiology: Imaging Cancer
- Vol. 7 (1) , e240156
Abstract
This study demonstrates that hybrid multidimensional MRI has the potential to improve MRI/US fusion biopsy results, provide more reliable detection of prostate cancer, and add complementary information to Prostate Imaging and Reporting Data System–based evaluation by expert radiologists.Keywords
Funding Information
- National Institutes of Health (R42 CA244056, R01 CA227036, 1R41CA244056-01A1, R01 CA17280, 1 S10OD018448-01)
- Sanford J Grossman Charitable Trust
- University of Chicago Medicine Comprehensive Cancer Center (P30 CA014599-37)
This publication has 39 references indexed in Scilit:
- Four‐quadrant vector mapping of hybrid multidimensional MRI data for the diagnosis of prostate cancerMedical Physics, 2023
- Improving reader accuracy and specificity with the addition of hybrid multidimensional-MRI to multiparametric-MRI in diagnosing clinically significant prostate cancersAbdominal Radiology, 2023
- Physically implausible signals as a quantitative quality assessment metric in prostate diffusion-weighted MR imagingAbdominal Radiology, 2022
- Histological validation of prostate tissue composition measurement using hybrid multi-dimensional MRI: agreement with pathologists’ measuresAbdominal Radiology, 2021
- T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning–derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathologyEuropean Radiology, 2020
- Characteristics of missed prostate cancer lesions on 3T multiparametric-MRI in 518 patients: based on PI-RADSv2 and using whole-mount histopathology referenceAbdominal Radiology, 2018
- Screening for Prostate CancerJAMA, 2018
- Restriction spectrum imaging improves MRI-based prostate cancer detectionAbdominal Radiology, 2016
- Hybrid multidimensional T2 and diffusion‐weighted MRI for prostate cancer detectionJournal of Magnetic Resonance Imaging, 2013
- Microscopic diffusivity compartmentation in formalin‐fixed prostate tissueMagnetic Resonance in Medicine, 2011