Abstract

HomeRadioGraphicsVol. 43, No. 1 PreviousNext Breast ImagingInvited Commentary: The Power and Promise of Artificial Intelligence for Digital Breast TomosynthesisManisha Bahl Manisha Bahl Author AffiliationsFrom the Department of Radiology, Division of Breast Imaging, Massachusetts General Hospital, 55 Fruit St, WAC 240, Boston, MA 02114.Address correspondence to the author (e-mail: [email protected]).Manisha Bahl Published Online:Nov 4 2022https://doi.org/10.1148/rg.220162MoreSectionsFull textPDF ToolsImage ViewerAdd to favoritesCiteTrack CitationsPermissionsReprints ShareShare onFacebookTwitterLinked In References1. MQSA national statistics. U.S. Food and Drug Administration website. https://www.fda.gov/radiation-emitting-products/mqsa-insights/mqsa-national-statistics. Accessed June 15, 2022. Google Scholar2. Hooley RJ, Durand MA, Philpotts LE. Advances in digital breast tomosynthesis. AJR Am J Roentgenol 2017;208(2):256–266. Crossref, Medline, Google Scholar3. Butler R, Conant EF, Philpotts L. Digital breast tomosynthesis: what have we learned? J Breast Imaging 2019;1(1):9–22. Crossref, Google Scholar4. Dang PA, Freer PE, Humphrey KL, Halpern EF, Rafferty EA. Addition of tomosynthesis to conventional digital mammography: effect on image interpretation time of screening examinations. Radiology 2014;270(1):49–56. Link, Google Scholar5. Chikarmane S. Synthetic Mammography: review of benefits and drawbacks in clinical use. J Breast Imaging 2022;4(2):124–134. Crossref, Google Scholar6. Goldberg JE, Reig B, Lewin AA, et al. New horizons: artificial intelligence for digital breast tomosynthesis. RadioGraphics 2022;43(1):e220060.https://doi.org/10.1148/rg.220060. Link, Google Scholar7. AI Central. American College of Radiology Data Science Institute website. https://aicentral.acrdsi.org. Accessed June 15, 2022. Google Scholar8. Lamb LR, Lehman CD, Gastounioti A, Conant EF, Bahl M. Artificial intelligence (AI) for screening mammography, from the AJR Special Series on AI Applications. AJR Am J Roentgenol 2022;219(3):369–380. Crossref, Medline, Google Scholar9. Bahl M. Updates in artificial intelligence for breast imaging. Semin Roentgenol 2022;57(2):160–167. Crossref, Medline, Google Scholar10. Lehman CD, Wellman RD, Buist DSM, et al. Diagnostic accuracy of digital screening mammography with and without computer-aided detection. JAMA Intern Med 2015;175(11):1828–1837. Crossref, Medline, Google ScholarArticle HistoryReceived: June 28 2022Accepted: July 1 2022Published online: Nov 04 2022 FiguresReferencesRelatedDetailsAccompanying This ArticleNew Horizons: Artificial Intelligence for Digital Breast TomosynthesisNov 4 2022RadioGraphicsRecommended Articles The Coming of Age of Breast Tomosynthesis in ScreeningRadiology2019Volume: 291Issue: 1pp. 31-33Clinical Performance of Synthesized Two-dimensional Mammography Combined with Tomosynthesis in a Large Screening PopulationRadiology2017Volume: 283Issue: 1pp. 70-76Artificial Intelligence Detection of Missed Cancers at Digital Mammography That Were Detected at Digital Breast TomosynthesisRadiology: Artificial Intelligence2021Volume: 3Issue: 6An Effective Method to Reduce the Interpretation Time in the Clinical Use of Digital Breast TomosynthesisRadiology2020Volume: 297Issue: 3pp. 543-544Digital Breast Tomosynthesis: Concepts and Clinical PracticeRadiology2019Volume: 292Issue: 1pp. 1-14See More RSNA Education Exhibits New Horizons: Artificial Intelligence (AI) In Digital Breast Tomosynthesis (DBT)Digital Posters2021Artificial Intelligence in Breast Imaging: Past, Present, and FutureDigital Posters2020Are We Ready to Substitute Synthesized Mammography for Full-Field Digital Mammography?Digital Posters2019 RSNA Case Collection Invasive Lobular CarcinomaRSNA Case Collection2021Slow-growing cancerRSNA Case Collection2020Metastatic Axillary Lymphadenopathy RSNA Case Collection2021 Vol. 43, No. 1 Abbreviations Abbrevations: AI artificial intelligence DBT digital breast tomosynthesis DM digital mammography FDA U.S. Food and Drug Administration Metrics Altmetric Score PDF download