Evidence map›Paper›PMID 33067849›Full record

ArticleJournal of magnetic resonance imaging : JMRI2021

Multishot Diffusion-Weighted MRI of the Breast With Multiplexed Sensitivity Encoding (MUSE) and Shot Locally Low-Rank (Shot-LLR) Reconstructions.

Yuxin Hu, Debra M Ikeda, Sarah M Pittman, Dilan Samarawickrama, Arnaud Guidon, Jarrett Rosenberg, Shu-Tian Chen, Satoko Okamoto, Bruce L Daniel, Brian A Hargreaves and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.8field-weighted citation impact, top 12% of its field
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

13 citing papers in PubMed, 30 citations in OpenAlex.

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  7. High-resolution Diffusion-weighted Imaging of the Prostate Using Multiplexed Sensitivity-encoding: Comparison with the Conventional and Reduced Field-of-view Techniques.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
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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

11 authors at 4 institutions in 4 countries.

Yuxin HuDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID 0000-0001-8045-9978
Debra M IkedaDepartment of Radiology, Stanford University, Stanford, California, USA.
Sarah M PittmanDepartment of Radiology, Stanford University, Stanford, California, USA.
Dilan SamarawickramaDepartment of Radiology, Stanford University, Stanford, California, USA.
Arnaud GuidonGlobal MR Application and Workflow, GE Healthcare, Boston, Massachusetts, USA.
Jarrett RosenbergDepartment of Radiology, Stanford University, Stanford, California, USA.
Shu-Tian ChenDepartment of Radiology, Stanford University, Stanford, California, USA.
Satoko OkamotoDepartment 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.
Catherine J MoranDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID 0000-0001-9748-9495
Stanford University · USChiayi Chang Gung Memorial Hospital · TWGeneral Electric (Spain) · ESSt. Marianna University School of Medicine · JP

Funding

Training and DisseminationP41EB015891 · NIBIB · STANFORD UNIVERSITY · PI GLOVER, GARY H · 2012 to 2019
$10.7M
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
NCI NIH HHS R01 CA249893NIBIB NIH HHS P41 EB015891NIBIB NIH HHS R01 EB009055NIH HHS P41-EB015891NIH HHS R01-EB009055
6 · The paper itself

Abstract

backgroundDiffusion-weighted imaging (DWI) has shown promise to screen for breast cancer without a contrast injection, but image distortion and low spatial resolution limit standard single-shot DWI. Multishot DWI methods address these limitations but introduce shot-to-shot phase variations requiring correction during reconstruction. PURPOSE: To investigate the performance of two multishot DWI reconstruction methods, multiplexed sensitivity encoding (MUSE) and shot locally low-rank (shot-LLR), compared to single-shot DWI in the breast. STUDY TYPE: Prospective. POPULATION: A total of 45 women who consented to have multishot DWI added to a clinically indicated breast MRI. FIELD STRENGTH/SEQUENCES: Single-shot DWI reconstructed by parallel imaging, multishot DWI with four or eight shots reconstructed by MUSE and shot-LLR, 3D T ASSESSMENT: Three blinded observers scored images for 1) general image quality (perceived signal-to-noise ratio [SNR], ghosting, distortion), 2) lesion features (discernment and morphology), and 3) perceived resolution. Apparent diffusion coefficient (ADC) of the lesion was also measured and compared between methods. STATISTICAL TESTS: Image quality features and perceived resolution were assessed with a mixed-effects logistic regression. Agreement among observers was estimated with a Krippendorf's alpha using linear weighting. Lesion feature ratings were visualized using histograms, and correlation coefficients of lesion ADC between different methods were calculated.

resultsMUSE and shot-LLR images were rated to have significantly better perceived resolution (P < 0.001), higher SNR (P < 0.005), and a lower level of distortion (P < 0.05) with respect to single-shot DWI. Shot-LLR showed reduced ghosting artifacts with respect to both MUSE (P < 0.001) and single-shot DWI (P < 0.001). Eight-shot DWI had improved perceived SNR and perceived resolution with respect to four-shot DWI (P < 0.005). DATA

conclusionMultishot DWI enables increased resolution and improved image quality with respect to single-shot DWI in the breast. Shot-LLR reconstructs multishot DWI with minimal ghosting artifacts. The improvement of multishot DWI in image quality increases with an increased number of shots. LEVEL OF EVIDENCE: 2 TECHNICAL EFFICACY STAGE: 2.

Indexed as

Diffusion Magnetic Resonance ImagingEcho-Planar ImagingArtifactsFemaleHumansMagnetic Resonance ImagingProspective StudiesReproducibility of Resultsbreast cancerdiffusion-weighted imaginglocally low-rankmultishot DWInoncontrast-enhanced imaging

Identifiers

PMID33067849
PMCPMC8084247
OpenAlexW3092966350

What OpenQuestion holds

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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.