Evidence map›Paper›PMID 39221478›Full record

ArticleMagnetic resonance in medicine2025

A diffusion-prepared reduced FOV sequence for prostate MRI near metallic implants.

Philip K Lee, Jeremiah J Hess, Andrew A Gomella, Andreas M Loening, Brian A Hargreaves

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

5 citing papers in PubMed.

  1. Combined ADC and TMagnetic resonance in medicine · 2026
    Article
  2. Diffusion MRI of the Body: Beyond PGSE-EPI.Journal of magnetic resonance imaging : JMRI · 2026
    Review
  3. Review
  4. Article
  5. 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

5 authors.

Philip K LeeRadiology, Stanford University, Stanford, California, USA.ORCID 0000-0002-7945-902X
Jeremiah J HessRadiology, Stanford University, Stanford, California, USA.
Andrew A GomellaRadiology, Stanford University, Stanford, California, USA.
Andreas M LoeningRadiology, Stanford University, Stanford, California, USA.
Brian A HargreavesRadiology, Stanford University, Stanford, California, USA.

Funding

High-Resolution Whole-Breast MRI at 3.0TR01EB009055 · NIBIB · STANFORD UNIVERSITY · PI BRUCE L DANIEL, Brian Andrew Hargreaves · 2008 to 2026
$7.5M
Abbreviated Non-Contrast-Enhanced MRI for Breast Cancer ScreeningR01CA249893 · NCI · STANFORD UNIVERSITY · PI DANIEL, BRUCE L, HARGREAVES, BRIAN ANDREW · 2021 to 2025
$3.1M
GE HealthcareNCI NIH HHS R01 CA249893NIBIB NIH HHS R01 EB009055NIH HHS NIH R01-CA249893NIH HHS NIH R01-EB009055
6 · The paper itself

Abstract

purposeTo enable diffusion weighted imaging in prostate patients with metallic total hip replacements in clinically feasible scan times for prostate cancer screening, and avoid distortion and dropout artifacts present in the conventionally used Echo Planar Imaging (EPI).

methodsA reduced field of view (FOV) diffusion-prepared sequence that is robust to the B

resultsThe proposed sequence is robust to shading and distortion artifacts that are encountered by standard diffusion-weighted EPI in the presence of moderate off-resonance. Apparent diffusion coefficient estimates obtained by the proposed sequence were comparable to those obtained with diffusion-weighted EPI.

conclusionAcquisition of distortionless diffusion weighted images of the prostate is feasible in patients with total hip replacements on conventional, whole-body 3T MRI, using a b-value of 800

Indexed as

ArtifactsDiffusion Magnetic Resonance ImagingEcho-Planar ImagingPhantoms, ImagingProstateProstatic NeoplasmsAdultAgedAlgorithmsHumansImage Processing, Computer-AssistedMaleMetalsMiddle AgedReproducibility of ResultsMetalsdiffusion MRImetal artifactsprostate DWI

Identifiers

PMID39221478
PMCPMC12923271

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Registered trials

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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.