A Machine Learning Model Based on MRI Radiomics to Predict Response to Chemoradiation Among Patients with Rectal Cancer

A Machine Learning Model Based on MRI Radiomics to Predict Response to Chemoradiation Among Patients with Rectal Cancer

Background: With rectum-sparing protocols becoming more common for rectal cancer treatment, this study aimed to predict the pathological complete response (pCR) to preoperative chemoradiotherapy (pCRT) in rectal cancer patients using pre-treatment MRI and a radiomics-based machine learning approach....

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Bibliographic Details
Main Authors: Filippo Crimì, Carlo D’Alessandro, Chiara Zanon, Francesco Celotto, Christian Salvatore, Matteo Interlenghi, Isabella Castiglioni, Emilio Quaia, Salvatore Pucciarelli, Gaya Spolverato
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Life
Subjects:
MRI
radiomics
rectal cancer
neoadjuvant therapy
machine learning
Online Access:https://www.mdpi.com/2075-1729/14/12/1530
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https://www.mdpi.com/2075-1729/14/12/1530

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