title: Semi-automated analysis for MRI of breast tumors.
abstract: Magnetic resonance imaging (MRI) techniques have the potential to greatly improve breast cancer detection, diagnosis, and treatment. Currently, a major problem associated with breast MRI is the overwhelming amount of data acquired during an exam, and the time-intensive analysis required to evaluate the images. We have developed a software platform for semi-automated analysis to assess both the tumor extent and overall grade or severity based on our diagnostic criteria. In a test subset of over 50 patients, the automated program produced results more accurate overall than those measurements taken manually, with a reduction in time for analysis from approximately 45 minutes down to 5 minutes per patient study.
authors.affiliation: Department of Radiology, University of California, San Francisco 94143-1290, USA.
authors.forename: S C
authors.initials: SC
authors.lastname: Partridge
authors.forename: E J
authors.initials: EJ
authors.lastname: Heumann
authors.forename: N M
authors.initials: NM
authors.lastname: Hylton
mesh_terms: D001943:Breast Neoplasms / Q000175:diagnosis*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging; D012984:Software