Classifying Breast Cancer Metastasis Based on Imaging of Tumor Primary and Tumor Biology

Barbara Awad; Agni Chandora; Ben Bassett; Brittany Hermecz; Stefanie Woodard

doi:10.3390/diagnostics13030437

Diagnostics (Jan 2023)

Classifying Breast Cancer Metastasis Based on Imaging of Tumor Primary and Tumor Biology

Barbara Awad,
Agni Chandora,
Ben Bassett,
Brittany Hermecz,
Stefanie Woodard

Affiliations

Barbara Awad: Debusk College of Osteopathic Medicine, Lincoln Memorial University, 6965 Cumberland Gap Pkwy, Harrogate, TN 37752, USA
Agni Chandora: Department of Radiology, The University of Alabama at Birmingham, 619 19th Street South, Birmingham, AL 35249, USA
Ben Bassett: Department of Radiology, The University of Alabama at Birmingham, 619 19th Street South, Birmingham, AL 35249, USA
Brittany Hermecz: Vulcan Imaging Associates, 2204 Lakeshore Dr. #140, Birmingham, AL 35209, USA
Stefanie Woodard: Department of Radiology, The University of Alabama at Birmingham, 619 19th Street South, Birmingham, AL 35249, USA

DOI: https://doi.org/10.3390/diagnostics13030437
Journal volume & issue: Vol. 13, no. 3
p. 437

Abstract

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The molecular classification of breast cancer has allowed for a better understanding of both prognosis and treatment of breast cancer. Imaging of the different molecular subtypes has revealed that biologically different tumors often exhibit typical features in mammography, ultrasound, and MRI. Here, we introduce the molecular classification of breast cancer and review the typical imaging features of each subtype, examining the predictive value of imaging with respect to distant metastases.

Published in Diagnostics

ISSN: 2075-4418 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Medicine: Medicine (General)
Website: http://www.mdpi.com/journal/diagnostics

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Abstract

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