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

Radiation Oncology

Yodchanan Wongsawat¹  Chanon Puttanawarut²  Nat Sirirutbunkajorn³  Poompis Pattaranutaporn³  Suphalak Khachonkham³ 

[1] Brain-Computer Interface Laboratory, Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakhorn Pathom, Thailand;Chakri Naruebodindra Medical Institute, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Nakhorn Pathom, Samutprakarn, Thailand;Brain-Computer Interface Laboratory, Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakhorn Pathom, Thailand;Department of Diagnostic and Therapeutic Radiology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand;

关键词: Radiotherapy;    Dosiomic;    Machine learning;    Radiation pneumonitis;    Esophageal cancer;    Biological dose;   

DOI  :  10.1186/s13014-021-01950-y

来源: Springer

【 授权许可】

CC BY