MRI Radiomics and Machine Learning for the Prediction of Oncotype Dx Recurrence Score in Invasive Breast Cancer

MRI Radiomics and Machine Learning for the Prediction of Oncotype Dx Recurrence Score in Invasive Breast Cancer

Aim: To non-invasively predict Oncotype DX recurrence scores (ODXRS) in patients with <i>ER</i>+ <i>HER2</i>- invasive breast cancer (IBC) using dynamic contrast-enhanced (DCE) MRI-derived radiomics features extracted from primary tumor lesions and a ML algorithm. Materials a...

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Bibliographic Details
Main Authors: Valeria Romeo, Renato Cuocolo, Luca Sanduzzi, Vincenzo Carpentiero, Martina Caruso, Beatrice Lama, Dimitri Garifalos, Arnaldo Stanzione, Simone Maurea, Arturo Brunetti
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Cancers
Subjects:
radiomics
oncotype DX
breast cancer
machine learning
neoadjuvant chemotherapy
magnetic resonance
Online Access:https://www.mdpi.com/2072-6694/15/6/1840

Internet

https://www.mdpi.com/2072-6694/15/6/1840

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