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Article

Unsupervised Clustering of Quantitative Image Phenotypes Reveals Breast Cancer Subtypes with Distinct Prognoses and Molecular Pathways

10 Jan 2017

Abstract excerpt

Abstract Purpose: To identify novel breast cancer subtypes by extracting quantitative imaging phenotypes of the tumor and surrounding parenchyma and to elucidate the underlying biologic underpinnings and evaluate the prognostic capacity for predicting recurrence-free survival (RFS). Experimental Design: We retrospectively analyzed dynamic contrast–enhanced MRI data of patients from a single-center discovery...

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PMID: 28073839
DOI: 10.1158/1078-0432.ccr-16-2415

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