Biological dosiomic features for the prediction of radiation pneumonitis in esophageal cancer patients

Biological dosiomic features for the prediction of radiation pneumonitis in esophageal cancer patients

Abstract Objective The purpose of this study was to develop a model using dose volume histogram (DVH) and dosiomic features to predict the risk of radiation pneumonitis (RP) in the treatment of esophageal cancer with radiation therapy and to compare the performance of DVH and dosiomic features after...

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Auteurs principaux: Chanon Puttanawarut, Nat Sirirutbunkajorn, Suphalak Khachonkham, Poompis Pattaranutaporn, Yodchanan Wongsawat
Format: article
Langue:EN
Publié: BMC 2021
Sujets:
Radiotherapy
Dosiomic
Machine learning
Radiation pneumonitis
Esophageal cancer
Biological dose
Medical physics. Medical radiology. Nuclear medicine
R895-920
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Accès en ligne:https://doaj.org/article/2957cca70596408389c7c90987e36a79
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https://doaj.org/article/2957cca70596408389c7c90987e36a79

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