Evidence map›Paper›PMID 41569099›Full record

ArticleMagnetic resonance in medicine2026

Aizada Nurdinova, Xuetong Zhou, Julio A Oscanoa, Preya Shah, Kawin Setsompop, Bruce L Daniel, Brian A Hargreaves

Abstract read
PubMed Full text at PMC Publisher
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. Magnetic resonance in medicine · 2026
    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

7 authors.

Aizada NurdinovaDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID https://orcid.org/0009-0000-9328-2155
Xuetong ZhouDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID https://orcid.org/0009-0007-2584-0558
Julio A OscanoaDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID https://orcid.org/0000-0002-2847-8896
Preya ShahDepartment of Radiology, Stanford University, Stanford, California, USA.
Kawin SetsompopDepartment of Radiology, Stanford University, Stanford, California, USA.
Bruce L DanielDepartment of Radiology, Stanford University, Stanford, California, USA.
Brian A HargreavesDepartment of Radiology, Stanford University, Stanford, California, USA.

Funding

Division of Cancer Prevention, National Cancer Institute R01-CA249893Division of Cancer Prevention, National Cancer Institute RO1-CA249893GE HealthcareNIBIB NIH HHS R01-EB009055NIBIB NIH HHS RO1-EB009055
6 · The paper itself

Abstract

purposeMagnetic resonance imaging (MRI) is a sensitive method for assessing silicone implant integrity, with

methodsOur approach uses a 2D fast spin echo (FSE) sequence with seven bipolar multi-echo gradient echo readouts, enabling field mapping and water-fat-silicone separation. Incoherent

resultsWe achieve high-resolution, artifact-free water, fat, and silicone (WFS) images across three planes from one sequence, regardless of shim quality, and for different breast implant types. Compared to independent echo reconstruction and separation, joint multi-echo reconstruction with incoherent

conclusionWe demonstrate a robust

Indexed as

Adipose TissueBreastBreast ImplantsImage Processing, Computer-AssistedMagnetic Resonance ImagingSiliconesAlgorithmsArtifactsFemaleHumansPhantoms, ImagingWaterSiliconesWaterchemical‐shift encodingcompressed sensingjoint multi‐echo reconstructionNyquist ghost correctionsilicone breast imaging

Identifiers

PMID41569099
PMCPMC12962225

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.