Computerized image analysis for identifying triple-negative breast cancers and differentiating them from other molecular subtypes of breast cancer on dynamic contrast-enhanced MR images: a feasibility study.

TitleComputerized image analysis for identifying triple-negative breast cancers and differentiating them from other molecular subtypes of breast cancer on dynamic contrast-enhanced MR images: a feasibility study.
Publication TypeJournal Article
Year of Publication2014
AuthorsAgner, SC, Rosen MA, Englander S, Tomaszewski JE, Feldman MD, Zhang P, Mies C, Schnall MD, Madabhushi A
JournalRadiology
Volume272
Issue1
Pagination91-99
Date Published07/2014
ISSN1527-1315
KeywordsAdult, Aged, Biopsy, Contrast Media, Diagnosis, Computer-Assisted, Diagnosis, Differential, Feasibility Studies, Female, Fibroadenoma, Humans, magnetic resonance imaging, Magnetic Resonance Imaging, Interventional, Meglumine, Middle Aged, Organometallic Compounds, Retrospective Studies, Triple Negative Breast Neoplasms
Abstract

To determine the feasibility of using a computer-aided diagnosis (CAD) system to differentiate among triple-negative breast cancer, estrogen receptor (ER)-positive cancer, human epidermal growth factor receptor type 2 (HER2)-positive cancer, and benign fibroadenoma lesions on dynamic contrast material-enhanced (DCE) magnetic resonance (MR) images.

DOI10.1148/radiol.14121031
PDF Link

http://engineering.case.edu/centers/ccipd/sites/ccipd.case.edu/files/Com...

Alternate JournalRadiology

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