Machine Learning for Prediction of Chemoradiation Therapy Response in Rectal Cancer Using Pre-Treatment and Mid-Radiation Multi-Parametric MRI

PURPOSE: To predict the neoadjuvant chemoradiation therapy (CRT) response in patients with locally advanced rectal cancer (LARC) using radiomics and deep learning based on pre-treatment MRI and a mid-radiation follow-up MRI taken 3–4 weeks after the start of CRT. METHODS: A total of 51 patients were...

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Shranjeno v:
Bibliografske podrobnosti
izdano v:Magn Reson Imaging
Main Authors: Shi, Liming, Zhang, Yang, Nie, Ke, Sun, Xiaonan, Niu, Tianye, Yue, Ning, Kwong, Tiffany, Chang, Peter, Chow, Daniel, Chen, Jeon-Hor, Su, Min-Ying
Format: Artigo
Jezik:Inglês
Izdano: 2019
Teme:
Article
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC7709818/
https://ncbi.nlm.nih.gov/pubmed/31059768
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.mri.2019.05.003
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