Evidence map›Paper›PMID 40913347›Full record

ArticleMagnetic resonance in medicine2026

Characterizing the imaging environment for supine breast MRI.

Judith Zimmermann, Jana Vincent, Fraser Robb, Bruce L Daniel, Brian A Hargreaves, Catherine J Moran

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2026. 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

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

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

6 authors.

Judith ZimmermannDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID 0000-0002-9579-9788
Jana VincentGE HealthCare, Aurora, Ohio, USA.ORCID 0000-0002-2707-6000
Fraser RobbGE HealthCare, Aurora, Ohio, USA.
Bruce L DanielDepartment of Radiology, Stanford University, Stanford, California, USA.
Brian A HargreavesDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID 0000-0003-0982-3508
Catherine J MoranDepartment of Radiology, The Ohio State University, Columbus, Ohio, USA.ORCID 0000-0001-9748-9495

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 HealthCareNational Institute of Health R01-CA249893National Institute of Health R01-EB009055NCI NIH HHS R01 CA249893NIBIB NIH HHS R01 EB009055
6 · The paper itself

Abstract

purposeSupine breast MRI has the potential to improve over standard prone breast magnetic resonance imaging (MRI) in terms of efficiency and image quality, image alignment with diagnostic and treatment procedures, and overall accessibility. This study aims to characterize potential technical challenges of imaging in the supine position: (i)

methodsTen healthy subjects were scanned at 3T in both prone and supine positions to quantify and compare (i) and (ii) between both positions, and to assess (iii) in the supine position. Breast image volumes from a wider population (N = 40, healthy volunteers and patients) were analyzed to obtain breast shape metrics to characterize (iv).

results

conclusionSupine positioning for breast MRI may lead to greater

Indexed as

BreastImage Processing, Computer-AssistedMagnetic Resonance ImagingPatient PositioningAdultBreast NeoplasmsFemaleHealthy VolunteersHumansMiddle AgedProne PositionSupine Positionbreast geometrybreast motionsupine breast MRI

Identifiers

PMID40913347
PMCPMC12620180

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.