Machine Learning-Based Radiomics Nomogram Using Magnetic Resonance Images for Prediction of Neoadjuvant Chemotherapy Efficacy in Breast Cancer Patients

Machine Learning-Based Radiomics Nomogram Using Magnetic Resonance Images for Prediction of Neoadjuvant Chemotherapy Efficacy in Breast Cancer Patients

Purpose: The construction and validation of a radiomics nomogram based on machine learning using magnetic resonance image (MRI) for predicting the efficacy of neoadjuvant chemotherapy (NACT) in patients with breast cancer (BCa).Methods: This retrospective investigation consisted of 158 patients who...

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Bibliographic Details
Main Authors: Shujun Chen, Zhenyu Shu, Yongfeng Li, Bo Chen, Lirong Tang, Wenju Mo, Guoliang Shao, Feng Shao
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-08-01
Series:Frontiers in Oncology
Subjects:
radiomics
nomogram
breast cancer
neoadjuvant chemotherapy
pathological complete response
machine learning
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2020.01410/full

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https://www.frontiersin.org/article/10.3389/fonc.2020.01410/full

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