Pseudo-siamese network combined with dosimetric and clinical factors, radiomics features, CT images and 3D dose distribution for the prediction of radiation pneumonitis: A feasibility study

Bin Feng,Wei Zhou,Xin Yang,Huanli Luo,Xin Zhang,Dingyi Yang,Dan Tao,Yongzhong Wu,Fu Jin

Clinical and Translational Radiation Oncology（2023）

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摘要

•We firstly proposed a novel method that combined dosimetric and clinical factors, radiomics feature, 3D CT images and dose distribution for predicting RP.•A pseudo-siamese network were developed for combination of 1D and 3D information.•The used deep learning frame showed a good accuracy (81.8%) for the prediction of RP.

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关键词

Radiation pneumonitis,Pseudo-siamese network,Radiomics,Radiotherapy,Lung cancer

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