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Multiparametric breast MRI to problem-solve mammographically detected suspicious calcifications

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dc.contributor.authorPark, Vivian Y.-
dc.contributor.authorHippe, Daniel S.-
dc.contributor.authorKazerouni, Anum S.-
dc.contributor.authorBiswas, Debosmita-
dc.contributor.authorBryant, Mary Lynn-
dc.contributor.authorLi, Isabella-
dc.contributor.authorJavid, Sara H.-
dc.contributor.authorKilgore, Mark-
dc.contributor.authorKim, Janice-
dc.contributor.authorKim, Andrew G.-
dc.contributor.authorScheel, John R.-
dc.contributor.authorLowry, Kathryn P.-
dc.contributor.authorLam, Diana L.-
dc.contributor.authorPartridge, Savannah-
dc.contributor.authorRahbar, Habib-
dc.date.accessioned2025-12-26T03:00:40Z-
dc.date.available2025-12-26T03:00:40Z-
dc.date.created2025-12-11-
dc.date.issued2026-01-
dc.identifier.issn0720-048X-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/209653-
dc.description.abstractObjective: To evaluate the performance of multiparametric breast MRI to problem-solve mammographicallydetected suspicious calcifications. Materials and methods: Participants 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. Results: 81 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 Ktrans values were associated with both outcomes (all p < 0.05). Multivariable models, including qualitative DCE-MRI assessments, showed higher AUCs (malignancy: 0.71-0.76; invasive cancer or high-grade DCIS: 0.78-0.91) than when including only clinical and mammographic features (malignancy: 0.57; invasive cancer or high-grade DCIS: 0.61, all p < 0.05). Further incorporation of DWI or quantitative MRI features did not improve AUCs (all Delta AUC <= 0). Conclusion: Breast 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.-
dc.languageEnglish-
dc.publisherElsevier Science Ireland Ltd-
dc.relation.isPartOfEUROPEAN JOURNAL OF RADIOLOGY-
dc.relation.isPartOfEUROPEAN JOURNAL OF RADIOLOGY-
dc.subject.MESHAdult-
dc.subject.MESHAged-
dc.subject.MESHBreast / diagnostic imaging-
dc.subject.MESHBreast Neoplasms* / diagnostic imaging-
dc.subject.MESHBreast Neoplasms* / pathology-
dc.subject.MESHCalcinosis* / diagnostic imaging-
dc.subject.MESHCarcinoma, Intraductal, Noninfiltrating / diagnostic imaging-
dc.subject.MESHContrast Media-
dc.subject.MESHFemale-
dc.subject.MESHHumans-
dc.subject.MESHMammography* / methods-
dc.subject.MESHMiddle Aged-
dc.subject.MESHMultiparametric Magnetic Resonance Imaging* / methods-
dc.subject.MESHProspective Studies-
dc.subject.MESHSensitivity and Specificity-
dc.titleMultiparametric breast MRI to problem-solve mammographically detected suspicious calcifications-
dc.typeArticle-
dc.contributor.googleauthorPark, Vivian Y.-
dc.contributor.googleauthorHippe, Daniel S.-
dc.contributor.googleauthorKazerouni, Anum S.-
dc.contributor.googleauthorBiswas, Debosmita-
dc.contributor.googleauthorBryant, Mary Lynn-
dc.contributor.googleauthorLi, Isabella-
dc.contributor.googleauthorJavid, Sara H.-
dc.contributor.googleauthorKilgore, Mark-
dc.contributor.googleauthorKim, Janice-
dc.contributor.googleauthorKim, Andrew G.-
dc.contributor.googleauthorScheel, John R.-
dc.contributor.googleauthorLowry, Kathryn P.-
dc.contributor.googleauthorLam, Diana L.-
dc.contributor.googleauthorPartridge, Savannah-
dc.contributor.googleauthorRahbar, Habib-
dc.identifier.doi10.1016/j.ejrad.2025.112467-
dc.relation.journalcodeJ00845-
dc.identifier.eissn1872-7727-
dc.identifier.pmid41108951-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0720048X25005534-
dc.subject.keywordBreast MRI-
dc.subject.keywordMammography-
dc.subject.keywordCalcifications-
dc.subject.keywordDiagnostic imaging-
dc.subject.keywordDuctal carcinoma in situ-
dc.contributor.affiliatedAuthorPark, Vivian Y.-
dc.identifier.scopusid2-s2.0-105022208910-
dc.identifier.wosid001603139600003-
dc.citation.volume194-
dc.identifier.bibliographicCitationEUROPEAN JOURNAL OF RADIOLOGY, Vol.194, 2026-01-
dc.identifier.rimsid90432-
dc.type.rimsART-
dc.description.journalClass1-
dc.description.journalClass1-
dc.subject.keywordAuthorBreast MRI-
dc.subject.keywordAuthorMammography-
dc.subject.keywordAuthorCalcifications-
dc.subject.keywordAuthorDiagnostic imaging-
dc.subject.keywordAuthorDuctal carcinoma in situ-
dc.subject.keywordPlusCARCINOMA IN-SITU-
dc.subject.keywordPlusCONTRAST-ENHANCED MRI-
dc.subject.keywordPlusMICROCALCIFICATIONS-
dc.subject.keywordPlusBIOPSIES-
dc.subject.keywordPlusBENIGN-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalWebOfScienceCategoryRadiology, Nuclear Medicine & Medical Imaging-
dc.relation.journalResearchAreaRadiology, Nuclear Medicine & Medical Imaging-
dc.identifier.articleno112467-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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