Histogram Analysis and Visual Heterogeneity of Diffusion-Weighted Imaging with Apparent Diffusion Coefficient Mapping in the Prediction of Molecular Subtypes of Invasive Breast Cancers

Histogram Analysis and Visual Heterogeneity of Diffusion-Weighted Imaging with Apparent Diffusion Coefficient Mapping in the Prediction of Molecular Subtypes of Invasive Breast Cancers

Objective. To investigate if histogram analysis and visually assessed heterogeneity of diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) mapping can predict molecular subtypes of invasive breast cancers. Materials and Methods. In this retrospective study, 91 patients with in...

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Bibliographic Details
Main Authors: Joao V. Horvat, Aditi Iyer, Elizabeth A. Morris, Aditya Apte, Blanca Bernard-Davila, Danny F. Martinez, Doris Leithner, Olivia M. Sutton, R. Elena Ochoa-Albiztegui, Dilip Giri, Katja Pinker, Sunitha B. Thakur
Format: Article
Language:English
Published: Hindawi-Wiley 2019-01-01
Series:Contrast Media & Molecular Imaging
Online Access:http://dx.doi.org/10.1155/2019/2972189

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http://dx.doi.org/10.1155/2019/2972189

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