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 adjustment for the effect of fractionation by correcting the dose to the equivalent dose in 2 Gy (EQD2).

Materials and methods

DVH features and dosiomic features were extracted from the 3D dose distribution of 101 esophageal cancer patients. The features were extracted with and without correction to EQD2. A predictive model was trained to predict RP grade ≥ 1 by logistic regression with L1 norm regularization. The models were then evaluated by the areas under the receiver operating charac

SUBMITTER: Puttanawarut C 

PROVIDER: S-EPMC8591796 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature