MRI-based machine learning radiomics can predict HER2 expression level and pathologic response after neoadjuvant therapy in HER2 overexpressing breast cancer-Reference-Cited by-同舟云学术

MRI-based machine learning radiomics can predict HER2 expression level and pathologic response after neoadjuvant therapy in HER2 overexpressing breast cancer

Published:2020-11 Issue: Volume:61 Page:103042
ISSN:2352-3964
Container-title:EBioMedicine
language:en
Short-container-title:EBioMedicine

Author:

Bitencourt Almir G.V.,Gibbs Peter,Rossi Saccarelli Carolina,Daimiel Isaac,Lo Gullo Roberto,Fox Michael J.,Thakur Sunitha,Pinker Katja^ORCID,Morris Elizabeth A.,Morrow Monica,Jochelson Maxine S.^ORCID

Funder

NIH

Publisher

Elsevier BV

Subject

General Biochemistry, Genetics and Molecular Biology,General Medicine

Reference26 articles.

1. Molecular testing in breast cancer: a guide to current practices;Hagemann;Arch Pathol Lab Med,2016

2. Human epidermal growth factor receptor 2 testing in breast cancer: American Society of Clinical Oncology/College of American Pathologists Clinical Practice Guideline Focused Update;Wolff;J Clin Oncol,2018

3. Intratumor heterogeneity defines treatment-resistant HER2+ breast tumors;Rye;Mol Oncol,2018

4. HER2 heterogeneity as a predictor of response to neoadjuvant T-DM1 plus pertuzumab: results from a prospective clinical trial;Filho;J Clin Oncol,2019

5. HER2 intratumoral heterogeneity is independently associated with incomplete response to anti-HER2 neoadjuvant chemotherapy in HER2-positive breast carcinoma;Hou;Breast Cancer Res Treat,2017

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