Cargando…
Dosiomics: Extracting 3D Spatial Features From Dose Distribution to Predict Incidence of Radiation Pneumonitis
Radiation pneumonitis (RP) is one of the major toxicities of thoracic radiation therapy. RP incidence has been proven to be closely associated with the dosimetric factors and normal tissue control possibility (NTCP) factors. However, because these factors only utilize limited information of the dose...
Autores principales: | Liang, Bin, Yan, Hui, Tian, Yuan, Chen, Xinyuan, Yan, Lingling, Zhang, Tao, Zhou, Zongmei, Wang, Lvhua, Dai, Jianrong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6473398/ https://www.ncbi.nlm.nih.gov/pubmed/31032229 http://dx.doi.org/10.3389/fonc.2019.00269 |
Ejemplares similares
-
Prediction of Radiation Pneumonitis With Dose Distribution: A Convolutional Neural Network (CNN) Based Model
por: Liang, Bin, et al.
Publicado: (2020) -
Radiomic and Dosiomic Features for the Prediction of Radiation Pneumonitis Across Esophageal Cancer and Lung Cancer
por: Puttanawarut, Chanon, et al.
Publicado: (2022) -
Biological dosiomic features for the prediction of radiation pneumonitis in esophageal cancer patients
por: Puttanawarut, Chanon, et al.
Publicado: (2021) -
Impact of Interfractional Error on Dosiomic Features
por: Puttanawarut, Chanon, et al.
Publicado: (2022) -
Radiation pneumonitis prediction after stereotactic body radiation therapy based on 3D dose distribution: dosiomics and/or deep learning-based radiomics features
por: Huang, Ying, et al.
Publicado: (2022)