Evidence map›Paper›PMID 33543122›Full record

ArticleJournal of breast imaging

Factors Affecting Image Quality and Lesion Evaluability in Breast Diffusion-weighted MRI: Observations from the ECOG-ACRIN Cancer Research Group Multisite Trial (A6702).

Jennifer G Whisenant, Justin Romanoff, Habib Rahbar, Averi E Kitsch, Sara M Harvey, Linda Moy, Wendy B DeMartini, Basak E Dogan, Wei T Yang, Lilian C Wang and 12 more

Open access · greenAbstract read
In one paragraph

Article in Journal of breast imaging. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 18% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Breast Diffusion-weighted MR Imaging: Current Applications, Insights from Screening, and Future Directions.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Review
  6. Article
  7. Is NME the enemy of breast DWI?European journal of radiology · 2023
    Article
  8. Article
  9. Observational
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

22 authors at 15 institutions in 1 country.

Jennifer G WhisenantVanderbilt University Medical Center, Department of Medicine, Nashville, TN.
Justin RomanoffBrown University, Center for Statistical Sciences, Providence, RI.
Habib RahbarUniversity of Washington, Department of Radiology, Seattle, WA.ORCID 0000-0003-4835-1478
Averi E KitschUniversity of Washington, Department of Radiology, Seattle, WA.
Sara M HarveyVanderbilt University Medical Center, Department of Radiology and Radiological Sciences, Nashville, TN.
Linda MoyNew York University School of Medicine, Department of Radiology, New York, NY.ORCID 0000-0001-9564-9360
Wendy B DeMartiniStanford University School of Medicine, Department of Radiology, Stanford, CA.
Basak E DoganUniversity of Texas Southwestern Medical Center, Department of Diagnostic Radiology, Dallas, TX.ORCID 0000-0001-7024-093X
Wei T YangMD Anderson Cancer Center, Department of Breast Imaging, Houston, TX.
Lilian C WangNorthwestern University Feinberg School of Medicine, Department of Radiology, Chicago, IL.
Bonnie N JoeUniversity of California San Francisco School of Medicine, Department of Radiology and Biomedical Engineering, San Francisco, CA.
Lisa J WilmesUniversity of California San Francisco School of Medicine, Department of Radiology and Biomedical Engineering, San Francisco, CA.
Nola M HyltonUniversity of California San Francisco School of Medicine, Department of Radiology and Biomedical Engineering, San Francisco, CA.
Karen Y OhOregon Health and Science University, Department of Radiology, Portland, OR.
Luminita A TudoricaOregon Health and Science University, Department of Radiology, Portland, OR.
Colleen H NealUniversity of Michigan, Department of Radiology/MRI, Ann Arbor, MI.
Dariya I MalyarenkoUniversity of Michigan, Department of Radiology/MRI, Ann Arbor, MI.
Elizabeth S McDonaldUniversity of Pennsylvania Perelman School of Medicine, Department of Radiology, Philadelphia, PA.
Christopher E ComstockMemorial Sloan-Kettering Cancer Center, Department of Radiology, New York, NY.
Thomas E YankeelovUniversity of Texas Austin, Department of Biomedical Engineering, Austin, TX.
Thomas L ChenevertUniversity of Michigan, Department of Radiology/MRI, Ann Arbor, MI.
Savannah C PartridgeUniversity of Washington, Department of Radiology, Seattle, WA.
University of California, San Francisco · USUniversity of Michigan · USUniversity of Washington · USOregon Health & Science University · USBrown University · USMemorial Sloan Kettering Cancer Center · USNew York University · USNorthwestern University · USStanford University · USThe University of Texas at Austin · USThe University of Texas MD Anderson Cancer Center · USThe University of Texas Southwestern Medical Center · USUniversity of Pennsylvania · USVanderbilt University · USVanderbilt University Medical Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
ARRA - ADOPT New Technologies for RDC/CDMSU01CA080098 · NCI · AMERICAN COLLEGE OF RADIOLOGY · PI SCHNALL, MITCHELL D. · 1999 to 2011
$182.7M
Project-006U10CA180820 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI Peter J ODwyer · 2014 to 2026
$167.6M
Statistics CoreU10CA180794 · NCI · DANA-FARBER CANCER INST · PI PAUL J CATALANO · 2014 to 2026
$111.2M
BIOSTATISTICS DATA MANAGEMENT CENTER FOR ACROINU01CA079778 · NCI · BROWN UNIVERSITY · PI GATSONIS, CONSTANTINE A. · 1999 to 2011
$48.6M
UT MD Anderson Cancer Center Network Lead Academic Participating Site (LAP) UG1UG1CA233329 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI KELLY K HUNT, CHELSEA Camille PINNIX · 2019 to 2026
$11.1M
Network Lead Academic Participating Site: Memorial Sloan Kettering Cancer CenterUG1CA233290 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI CAROL AGHAJANIAN, Darren Feldman · 2019 to 2026
$10.2M
UT Southwestern NCI National Clinical Trials Network (NCTN) LAPS - Supplemental Funds YR4UG1CA233302 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI David Eric Gerber · 2019 to 2026
$6.4M
Northwestern University Lead Academic Participating Site Supplement Year 2UG1CA233320 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI BENSON, AL B, MATEI, DANIELA E · 2019 to 2025
$5.5M
UM LAPs -UG1 GrantUG1CA233160 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ANNE F SCHOTT · 2019 to 2026
$5.4M
National Clinical Trials Network Research at the University of WisconsinUG1CA233277 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Lisa M Barroilhet, Andrew M. Baschnagel · 2019 to 2026
$4.9M
Quantitative MRI for Predicting Response of Breast Cancer to Neoadjuvant TherapyU01CA142565 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI KARCZMAR, GREGORY S., NANDA, RITA · 2010 to 2019
$4.5M
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA203883NCI NIH HHS R01 CA207290NCI NIH HHS U01 CA079778NCI NIH HHS U01 CA080098NCI NIH HHS U01 CA142565NCI NIH HHS U01 CA166104NCI NIH HHS U01 CA225427NCI NIH HHS U10 CA180794NCI NIH HHS U10 CA180820NCI NIH HHS UG1 CA233160NCI NIH HHS UG1 CA233270NCI NIH HHS UG1 CA233277NCI NIH HHS UG1 CA233290NCI NIH HHS UG1 CA233302NCI NIH HHS UG1 CA233320NCI NIH HHS UG1 CA233328NCI NIH HHS UG1 CA233329
6 · The paper itself

Abstract

objectiveThe A6702 multisite trial confirmed that apparent diffusion coefficient (ADC) measures can improve breast MRI accuracy and reduce unnecessary biopsies, but also found that technical issues rendered many lesions non-evaluable on diffusion-weighted imaging (DWI). This secondary analysis investigated factors affecting lesion evaluability and impact on diagnostic performance.

methodsThe A6702 protocol was IRB-approved at 10 institutions; participants provided informed consent. In total, 103 women with 142 MRI-detected breast lesions (BI-RADS assessment category 3, 4, or 5) completed the study. DWI was acquired at 1.5T and 3T using a four

resultsThirty percent (42/142) of lesions were non-evaluable on DWI; 23% (32/142) with image quality issues, 7% (10/142) with conspicuity and/or localization issues. Misregistration was the only factor associated with non-evaluability (

conclusionImage quality remains a technical challenge in breast DWI, particularly for smaller lesions. Protocol optimization and advanced acquisition and post-processing techniques would help to improve clinical utility.

Indexed as

apparent diffusion coefficient (ADC)artifactsbreast magnetic resonance imaging (MRI)diagnostic performancemulticenter trial

Identifiers

PMID33543122
PMCPMC7835633
OpenAlexW3116232552

What OpenQuestion holds

Textmetadata
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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.