A study of association of Oncotype DX recurrence score with DCE-MRI characteristics using multivariate machine learning models.

Journal: Journal of cancer research and clinical oncology

Published Date: Feb 9, 2018

Abstract

PURPOSE: To determine whether multivariate machine learning models of algorithmically assessed magnetic resonance imaging (MRI) features from breast cancer patients are associated with Oncotype DX (ODX) test recurrence scores.

Authors

Ashirbani Saha

Department of Radiology, Duke University School of Medicine, 2424 Erwin Road, Suite 302, Durham, NC, 27705, USA. ashirbani.saha@duke.edu.
Michael R Harowicz

Department of Radiology, Duke University School of Medicine, 2424 Erwin Road, Suite 302, Durham, NC, 27705, USA.
Weiyao Wang

Department of Computer Science, Johns Hopkins University School of Engineering, Baltimore, MA, United States.
Maciej A Mazurowski

Department of Radiology, Duke University School of Medicine, 2424 Erwin Road, Suite 302, Durham, NC, 27705, USA.

Keywords

Adult Aged Aged, 80 and over Algorithms Breast Neoplasms Cohort Studies Female Humans Machine Learning Magnetic Resonance Imaging Middle Aged Multivariate Analysis Neoplasm Recurrence, Local Prognosis Risk Factors

External Resources

View on PubMed Access via DOI PubMed (29427210)

A study of association of Oncotype DX recurrence score with DCE-MRI characteristics using multivariate machine learning models.

Abstract

Authors

Keywords

External Resources

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