Evidence map›Paper›PMID 40616252›Full record

ArticleMagnetic resonance in medicine2025

Fast and High-Resolution luminal water imaging for prostate cancer diagnosis.

Hao Li, Nikita Sushentsev, Dimitri Kessler, Shaohang Li, Kang-Lung Lee, Andrew Nicholas Priest, Ferdia A Gallagher, Tristan Barrett

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Hao LiInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, People's Republic of China.ORCID https://orcid.org/0000-0002-7712-0890
Nikita SushentsevDepartment of Radiology, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0003-4500-9714
Dimitri KesslerDepartment of Radiology, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-1813-1039
Shaohang LiInstitute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, People's Republic of China.
Kang-Lung LeeDepartment of Radiology, University of Cambridge, Cambridge, United Kingdom.
Andrew Nicholas PriestDepartment of Radiology, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-9771-4290
Ferdia A GallagherDepartment of Radiology, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0003-4784-5230
Tristan BarrettDepartment of Radiology, University of Cambridge, Cambridge, United Kingdom.

Funding

Cambridge Experimental Cancer Medicine CentreCancer Research UK C197/A16465National Natural Science Foundation of China 62201155NIHR Cambridge Biomedical Research Centre NIHR203312Shanghai Municipal Science and Technology Explorer Project 24TS1410400the Engineering and Physical Sciences Research Council Imaging Centre in Cambridge and Manchester
6 · The paper itself

Abstract

purposeThis study aims to address the limitation of long acquisition times in luminal water imaging (LWI), a promising noninvasive MRI technique for prostate cancer detection and grading, by implementing an accelerated multi-echo spin-echo method termed T2 mapping using echo merging plus k-t undersampling with reduced flip angles (TEMPURA).

methodsTEMPURA enables faster acquisition through echo merging, k-t undersampling, and reduced refocusing flip angles. A prospective study was conducted on 24 patients (age 59-75 years) with biopsy-proven prostate cancer. Imaging was performed on a 3 T MRI system, comparing two TEMPURA-based LWI sequences-Fast (standard resolution) and High-Resolution (HR, doubled spatial resolution)-against a standard LWI sequence (Standard). Luminal water fraction and five additional parameters were compared across the methods. Statistical analyses included Spearman rank correlation, Wilcoxon rank sum test, receiver operating characteristic analysis, Bland-Altman plots, and Delong tests.

resultsCompared to Standard, Fast reduced the acquisition time from 8.3 to 2.8 min, whereas HR reduced it to 5.4 min and doubled spatial resolution. Both Fast and HR showed high correlation with Standard for luminal water fraction (r = 0.97/0.90 in peripheral zone, r = 0.91/0.93 in transition zone), with low bias (0.014/0.018 in peripheral zone, 0.024/0.024 in transition zone) and no significant differences (p = 0.05-0.84/0.08-0.51). No significant difference was observed in area under the curve values between Fast/HR and Standard among all parameters (p = 0.05-0.87).

conclusionThe acceleration method greatly reduced the acquisition time and increased the spatial resolution of LWI. Compared with the Standard acquisition, both the Fast and HR methods showed a high correlation for LWI measurements and consistent diagnostic performance in detecting malignant lesions.

Indexed as

Magnetic Resonance ImagingProstatic NeoplasmsAgedAlgorithmsHumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedMaleMiddle AgedProspective StudiesProstateReproducibility of ResultsROC CurveWaterWaterimaging accelerationluminal water imagingmulticomponent T2multi‐echo spin‐echoprostate MRI

Identifiers

PMID40616252
PMCPMC12393181

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.