title: Breast Imaging in the Era of Big Data: Structured Reporting and Data Mining.
abstract: OBJECTIVE
  The purpose of this article is to describe structured reporting and the development of large databases for use in data mining in breast imaging.
  
  
  CONCLUSIONS
  The results of millions of breast imaging examinations are reported with structured tools based on the BI-RADS lexicon. Much of these data are stored in accessible media. Robust computing power creates great opportunity for data scientists and breast imagers to collaborate to improve breast cancer detection and optimize screening algorithms. Data mining can create knowledge, but the questions asked and their complexity require extremely powerful and agile databases. New data technologies can facilitate outcomes research and precision medicine.
authors.affiliation: 1 Department of Radiology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Pl, Box 1234, New York, NY 10029.
authors.forename: Laurie R
authors.initials: LR
authors.lastname: Margolies
authors.affiliation: 2 Department of Genetics and Genomic Science and Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY.
authors.forename: Gaurav
authors.initials: G
authors.lastname: Pandey
authors.affiliation: 3 MongoDB, New York, NY.
authors.forename: Eliot R
authors.initials: ER
authors.lastname: Horowitz
authors.affiliation: 4 Department of Radiology, Clinical Informatics, Radiology IT, Mount Sinai Health System, Icahn School of Medicine at Mount Sinai, New York, NY.
authors.forename: David S
authors.initials: DS
authors.lastname: Mendelson
mesh_terms: D001943:Breast Neoplasms / Q000175:diagnosis*; D057225:Data Mining / Q000379:methods*; D016208:Databases, Factual / Q000639:trends; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging; D008327:Mammography; D008490:Medical Informatics / Q000639:trends; D011873:Radiology Information Systems / Q000639:trends; D012107:Research Design; D016217:Ultrasonography, Mammary
keywords: breast cancer; breast imaging; data mining; precision medicine; structured reporting