Four‐Dimensional Machine Learning Radiomics for the Pretreatment Assessment of Breast Cancer Pathologic Complete Response to Neoadjuvant Chemotherapy in Dynamic <scp>Contrast‐Enhanced MRI</scp>-Reference-Cited by-同舟云学术

Four‐Dimensional Machine Learning Radiomics for the Pretreatment Assessment of Breast Cancer Pathologic Complete Response to Neoadjuvant Chemotherapy in Dynamic Contrast‐Enhanced MRI

Published:2022-05-28 Issue:1 Volume:57 Page:97-110
ISSN:1053-1807
Container-title:Journal of Magnetic Resonance Imaging
language:en
Short-container-title:Magnetic Resonance Imaging

Author:

Caballo Marco¹^ORCID,Sanderink Wendelien B. G.¹^ORCID,Han Luyi¹²,Gao Yuan²³,Athanasiou Alexandra⁴,Mann Ritse M.¹²

Affiliation:

1. Department of Medical Imaging Radboud University Medical Center Nijmegen The Netherlands

2. Department of Radiology The Netherlands Cancer Institute Amsterdam The Netherlands

3. GROW School for Oncology and Developmental Biology Maastricht University Medical Centre Maastricht the Netherlands

4. Breast Imaging Department MITERA Hospital Marousi, Athens Greece

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmri.28273

Reference43 articles.

1. Patterns of Cancer Incidence, Mortality, and Prevalence Across Five Continents: Defining Priorities to Reduce Cancer Disparities in Different Geographic Regions of the World

2. Neoadjuvant Chemotherapy, Endocrine Therapy, and Targeted Therapy for Breast Cancer: ASCO Guideline

3. Pathological Complete Response in Neoadjuvant Treatment of Breast Cancer

4. New Guidelines to Evaluate the Response to Treatment in Solid Tumors

5. Machine learning with multiparametric magnetic resonance imaging of the breast for early prediction of response to neoadjuvant chemotherapy

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