Mammography-based Deep Learning for Breast Cancer Risk Assessment for Supplemental MRI Screening

医学 乳腺癌 乳腺摄影术 梅德林 乳房成像 医学物理学 内科学 肿瘤科 家庭医学 癌症 政治学 法学
作者
Min Sun Bae
出处
期刊:Radiology [Radiological Society of North America]
卷期号:308 (3)
标识
DOI:10.1148/radiol.232226
摘要

HomeRadiologyVol. 308, No. 3 PreviousNext Reviews and CommentaryEditorialMammography-based Deep Learning for Breast Cancer Risk Assessment for Supplemental MRI ScreeningMin Sun Bae Min Sun Bae Author AffiliationsFrom the Department of Radiology, Korea University Ansan Hospital, Korea University College of Medicine, 123 Jeokgeum-ro, Danwon-gu, Ansan, Gyeonggi-do 15355, Republic of Korea.Address correspondence to the author (email: [email protected]).Min Sun Bae Published Online:Sep 19 2023https://doi.org/10.1148/radiol.232226MoreSectionsFull textPDF ToolsImage ViewerAdd to favoritesCiteTrack CitationsPermissionsReprints ShareShare onFacebookTwitterLinked In References1. Pashayan N, Antoniou AC, Ivanus U, et al. Personalized early detection and prevention of breast cancer: ENVISION consensus statement. Nat Rev Clin Oncol 2020;17(11):687–705. [Published correction appears in Nat Rev Clin Oncol 2020;17(11):716.] Crossref, Medline, Google Scholar2. Saccarelli CR, Bitencourt AGV, Morris EA. Is it the era for personalized screening? Radiol Clin North Am 2021;59(1):129–138. Crossref, Medline, Google Scholar3. Barke LD, Freivogel ME. Breast cancer risk assessment models and high-risk screening. Radiol Clin North Am 2017;55(3):457–474. Crossref, Medline, Google Scholar4. Yala A, Lehman C, Schuster T, Portnoi T, Barzilay R. A deep learning mammography-based model for improved breast cancer risk prediction. Radiology 2019;292(1):60–66. Link, Google Scholar5. Arasu VA, Habel LA, Achacoso NS, et al. Comparison of mammography AI algorithms with a clinical risk model for 5-year breast cancer risk prediction: an observational study. Radiology 2023;307(5):e222733. Link, Google Scholar6. Lehman CD, Mercaldo S, Lamb LR, et al. Deep learning vs traditional breast cancer risk models to support risk-based mammography screening. J Natl Cancer Inst 2022;114(10):1355–1363. Crossref, Medline, Google Scholar7. Gao Y, Reig B, Heacock L, Bennett DL, Heller SL, Moy L. Magnetic resonance imaging in screening of breast cancer. Radiol Clin North Am 2021;59(1):85–98. Crossref, Medline, Google Scholar8. Wernli KJ, DeMartini WB, Ichikawa L, et al; Breast Cancer Surveillance Consortium. Patterns of breast magnetic resonance imaging use in community practice. JAMA Intern Med 2014;174(1):125–132. Crossref, Medline, Google Scholar9. Lamb LR, Mercaldo SF, Ghaderi KF, Carney A, Lehman CD. Comparison of the diagnostic accuracy of mammogram-based deep learning and traditional breast cancer risk models in patients who underwent supplemental screening with MRI. Radiology 2023;308(3):e223077. Google Scholar10. Mann RM, Sechopoulos I. Risk prediction in mammography: detecting cancers before they become clinically apparent. Radiology 2023;307(5):e231137. Link, Google ScholarArticle HistoryReceived: Aug 23 2023Revision requested: Aug 24 2023Revision received: Aug 25 2023Accepted: Aug 28 2023Published online: Sept 19 2023 FiguresReferencesRelatedDetailsAccompanying This ArticleComparison of the Diagnostic Accuracy of Mammogram-based Deep Learning and Traditional Breast Cancer Risk Models in Patients Who Underwent Supplemental Screening with MRISep 19 2023RadiologyRecommended Articles Comparison of the Diagnostic Accuracy of Mammogram-based Deep Learning and Traditional Breast Cancer Risk Models in Patients Who Underwent Supplemental Screening with MRIRadiology2023Volume: 308Issue: 3Invited Commentary: Breast Cancer Risk Assessment and Screening Strategies—What’s New?RadioGraphics2020Volume: 40Issue: 4pp. 937-940Sustained Benefits of Abbreviated Breast MRI on Consecutive Screening RoundsRadiology2021Volume: 299Issue: 1pp. 84-85Supplemental Breast Cancer Screening in Women with Dense Breasts and Negative Mammography: A Systematic Review and Meta-AnalysisRadiology2023Volume: 306Issue: 3Breast Cancer Risk Prediction Using Deep LearningRadiology2021Volume: 301Issue: 3pp. 559-560See More RSNA Education Exhibits Next Top Model: An Overview of Breast Cancer Risk Assessment ModelsDigital Posters2022Breast Cancer Disparities that Affect Black WomenDigital Posters2022Let’s Talk about Next-Generation Breast Cancer Screening Programs: How Should We Do? What Should We Use?Digital Posters2020 RSNA Case Collection Ductal carcinoma in situRSNA Case Collection2020Ductal Carcinoma In SituRSNA Case Collection2022Inflammatory breast cancerRSNA Case Collection2020 Vol. 308, No. 3 Metrics Altmetric Score PDF download
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