Current State of the Art of New Prostate MRI Technologies and Potential Future Developments

Abstract Prostate cancer is a common malignancy in men. With the advent of multiparametric MRI and the Prostate Imaging-Reporting and Data System (PI-RADS) framework for grading lesions, there have been multiple advancements in the management and treatment of the disease. There are several new advancements in prostate MRI technology that suggest further exciting developments in the field, ranging from novel imaging sequences to the application of machine learning methods and artificial intelligence across the imaging pipeline. In this review, we aim to provide context on the current advancements in prostate MRI and will discuss the benefits and drawbacks of several new imaging techniques including hybrid multidimensional MRI, low field strength MRI, restriction spectrum imaging, Vascular, Extracellular, and Restricted Diffusion for Cytometry in Tumour (VERDICT) MRI, luminal water imaging, and hyperpolarized C-13 MRI. Additionally, we will introduce several novel artificial intelligence methods that have been proposed to improve MRI image quality, prostate lesion detection and characterization, as well as touch on the ethical implications of artificial intelligence in medical imaging of the prostate.

Authors

Institutions

Publication Details

Journal
BJR|Open
Published
2026-05-22
DOI
https://doi.org/10.1093/bjro/tzag011
Primary Topic
Prostate Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Current State of the Art of New Prostate MRI Technologies and Potential Future Developments

Fiona Gong, Donald Wunsch, Rikhil Makwana, Tyler M Seibert et al.
BJR|Open
Prostate Cancer Diagnosis and Treatment
article

Current State of the Art of New Prostate MRI Technologies and Potential Future Developments

Fiona Gong, Donald Wunsch, Rikhil Makwana, Tyler M Seibert, Shonit Punwani, Baris Turkbey
article en

Abstract

Abstract Prostate cancer is a common malignancy in men. With the advent of multiparametric MRI and the Prostate Imaging-Reporting and Data System (PI-RADS) framework for grading lesions, there have been multiple advancements in the management and treatment of the disease. There are several new advancements in prostate MRI technology that suggest further exciting developments in the field, ranging from novel imaging sequences to the application of machine learning methods and artificial intelligence across the imaging pipeline. In this review, we aim to provide context on the current advancements in prostate MRI and will discuss the benefits and drawbacks of several new imaging techniques including hybrid multidimensional MRI, low field strength MRI, restriction spectrum imaging, Vascular, Extracellular, and Restricted Diffusion for Cytometry in Tumour (VERDICT) MRI, luminal water imaging, and hyperpolarized C-13 MRI. Additionally, we will introduce several novel artificial intelligence methods that have been proposed to improve MRI image quality, prostate lesion detection and characterization, as well as touch on the ethical implications of artificial intelligence in medical imaging of the prostate.

BJR|Open
National Institutes of Health (US), La Jolla Bioengineering Institute (US), The London College (GB), University College London (GB)
Openalex Percentile: Top 5%
Prostate Cancer Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.