Prostate MRI in the United Kingdom: a survey of current practice by the British Society of Urogenital Radiology

Authors

Samuel J. Withey (ORCID: https://orcid.org/0000-0002-3612-844X)
Tristan Barrett (ORCID: https://orcid.org/0000-0002-1180-1474)
Iztok Caglič (ORCID: https://orcid.org/0000-0002-3432-3540)

Institutions

Royal Marsden NHS Foundation Trust (GB)
BCS — The Chartered Institute for IT (GB)
Cambridge University Hospitals NHS Foundation Trust (GB)
University College London (GB)

Publication Details

Journal: British Journal of Radiology
Published: 2025-12-14
DOI: https://doi.org/10.1093/bjr/tqaf312
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

Prostate MRI in the United Kingdom: a survey of current practice by the British Society of Urogenital Radiology

Samuel J. Withey, Tristan Barrett, Iztok Caglič

Dec 14, 2025

British Journal of Radiology

Prostate Cancer Diagnosis and Treatment

article

Prostate MRI in the United Kingdom: a survey of current practice by the British Society of Urogenital Radiology

Samuel J. Withey, Tristan Barrett, Iztok Caglič

December 14, 2025article en

Abstract

No abstract available for this paper.

British Journal of RadiologyVol. 99(1179)

Royal Marsden NHS Foundation Trust (GB), BCS — The Chartered Institute for IT (GB), Cambridge University Hospitals NHS Foundation Trust (GB), University College London (GB)

Openalex Percentile: Top 41%

Prostate Cancer Diagnosis and Treatment

DOI Open Access PDF OpenAlex

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.