Evidence map›Paper›PMID 41108951›Full record

ArticleEuropean journal of radiology2026

Multiparametric breast MRI to problem-solve mammographically detected suspicious calcifications.

Vivian Y Park, Daniel S Hippe, Anum S Kazerouni, Debosmita Biswas, Mary Lynn Bryant, Isabella Li, Sara H Javid, Mark Kilgore, Janice Kim, Andrew G Kim and 5 more

Abstract read
In one paragraph

Article in European journal of radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Vivian Y ParkDepartment of Radiology, University of Washington, Seattle, WA 98195, USA; Department of Radiology and Research Institute of Radiological Science, Yonsei University College of Medicine, South Korea. Electronic address: vivianpark0116@yuhs.ac.
Daniel S HippeClinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA. Electronic address: dhippe@uw.edu.
Anum S KazerouniDepartment of Radiology, University of Washington, Seattle, WA 98195, USA. Electronic address: anumkaz@uw.edu.
Debosmita BiswasDepartment of Radiology, University of Washington, Seattle, WA 98195, USA. Electronic address: biswasd@uw.edu.
Mary Lynn BryantDepartment of Radiology, University of Washington, Seattle, WA 98195, USA. Electronic address: mlbryant@uw.edu.
Isabella LiDepartment of Radiology, University of Washington, Seattle, WA 98195, USA. Electronic address: bellali7@uw.edu.
Sara H JavidDepartment of Surgery, University of Washington, Seattle, WA 98195, USA. Electronic address: sjavid@uw.edu.
Mark KilgoreDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA. Electronic address: mrmk@uw.edu.
Janice KimDepartment of Radiation Oncology, University of Washington, Seattle, WA 98195, USA. Electronic address: janicenk@uw.edu.
Andrew G KimDepartment of Radiology, University of Washington, Seattle, WA 98195, USA. Electronic address: akim@christieclinic.com.
John R ScheelDepartment of Radiology, University of Washington, Seattle, WA 98195, USA. Electronic address: john.scheel@vumc.org.
Kathryn P LowryDepartment of Radiology, University of Washington, Seattle, WA 98195, USA. Electronic address: kplowry@uw.edu.
Diana L LamDepartment of Radiology, University of Washington, Seattle, WA 98195, USA. Electronic address: dllam@uw.edu.
Savannah PartridgeDepartment of Radiology, University of Washington, Seattle, WA 98195, USA. Electronic address: scp3@uw.edu.
Habib RahbarDepartment of Radiology, University of Washington, Seattle, WA 98195, USA. Electronic address: hrahbar@uw.edu.

Funding

MRI Characterization of Biological Risk of Ductal Carcinoma in SituR01CA203883 · NCI · UNIVERSITY OF WASHINGTON · PI RAHBAR, HABIBOLLAH · 2017 to 2021
$1.8M
Quantitative characterization of tumor heterogeneity using habitat imaging for the prediction of patient outcome in triple negative breast cancerK99CA293004 · NCI · UNIVERSITY OF WASHINGTON · PI KAZEROUNI, ANUM SYED · 2024 to 2025
$203k
NCI NIH HHS K99 CA293004NCI NIH HHS R01 CA203883
6 · The paper itself

Abstract

objectiveTo evaluate the performance of multiparametric breast MRI to problem-solve mammographically-detected suspicious calcifications. MATERIALS AND

methodsParticipants with mammographically-detected suspicious calcifications were prospectively enrolled between August 2017 to May 2023. Pre-biopsy multiparametric MRI (standard and high-temporal resolution dynamic contrast enhanced [DCE]-MRI acquisitions and diffusion-weighted imaging [DWI]) was performed. The associations of MRI features with outcomes - (1) any malignancy and (2) invasive or high-grade ductal carcinoma in situ [DCIS] only - were analyzed using univariable logistic regression. Multivariable models, sequentially incorporating clinical/mammographic, qualitative, and quantitative features, were developed using penalized logistic regression with the least absolute shrinkage and selection operator. Area under the receiver operating characteristic curves (AUC) were estimated via cross-validation and compared between models using bootstrap methods.

results81 women (mean age, 55 years ± 10 [standard deviation]) with 86 calcifications were included; 29 % (25/86) were malignant. Malignancy rates for non-enhancing mammographic Breast Imaging Reporting and Data System (BI-RADS) category 4a and 4b calcifications were 3.8 % (1/26) and 8.7 % (2/23), respectively, with no invasive cancer or high-grade DCIS. Mammographic BI-RADS category, MRI BI-RADS category, visibility on DWI, peak percent enhancement, functional tumor volume, and K

conclusionBreast DCE-MRI aids in evaluating mammographic BI-RADS category 4a/4b calcifications without biopsy. DWI or quantitative MRI features may not further improve diagnostic performance.

Indexed as

Breast NeoplasmsCalcinosisMammographyMultiparametric Magnetic Resonance ImagingAdultAgedBreastCarcinoma, Intraductal, NoninfiltratingContrast MediaFemaleHumansMiddle AgedProspective StudiesSensitivity and SpecificityContrast MediaBreast MRICalcificationsDiagnostic imagingDuctal carcinoma in situMammography

Identifiers

PMID41108951
PMCPMC12765562

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.