A machine learning approach for predicting radiation-induced hypothyroidism in patients with nasopharyngeal carcinoma undergoing tomotherapy

A machine learning approach for predicting radiation-induced hypothyroidism in patients with nasopharyngeal carcinoma undergoing tomotherapy

Abstract The purpose of this study was to establish an integrated predictive model that combines clinical features, DVH, radiomics, and dosiomics features to predict RIHT in patients receiving tomotherapy for nasopharyngeal carcinoma. Data from 219 patients with nasopharyngeal carcinoma were randoml...

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Bibliographic Details
Main Authors: Ke-Run Quan, Wen-Rong Lin, Jia-Biao Hong, Yu-Hao Lin, Kai-Qiang Chen, Ji-Hong Chen, Pin-Jing Cheng
Format: Article
Language:English
Published: Nature Portfolio 2024-04-01
Series:Scientific Reports
Subjects:
Tomotherapy
Hypothyroidism prediction
Radiomics
Dosiomics
Machine learning
Online Access:https://doi.org/10.1038/s41598-024-59249-3

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