Synergizing the interaction of single nucleotide polymorphisms with dosiomics features to build a dual-omics model for the prediction of radiation pneumonitis-Reference-Cited by-同舟云学术

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Synergizing the interaction of single nucleotide polymorphisms with dosiomics features to build a dual-omics model for the prediction of radiation pneumonitis

Published:2024-07 Issue: Volume:196 Page:110261
ISSN:0167-8140
Container-title:Radiotherapy and Oncology
language:en
Short-container-title:Radiotherapy and Oncology

Author:

Liang Bin^ORCID,Lu Xiaotong,Liu Lipin,Dai Jianrong,Wang Luhua,Bi Nan

Publisher

Elsevier BV

Reference29 articles.

1. Radiation-induced lung injury: assessment and management;Hanania;Chest,2019

2. Comparison of the toxicity profile of PD-1 versus PD-L1 inhibitors in non-small cell lung cancer: a systematic analysis of the literature;Pillai;Cancer,2018

3. Texture analysis of 3D dose distributions for predictive modelling of toxicity rates in radiotherapy;Rossi;Radiother Oncol,2018

4. Deep convolutional neural network with transfer learning for rectum toxicity prediction in cervical cancer radiotherapy: a feasibility study;Zhen;Phys Med Biol,2017

5. Dosiomics: extracting 3D spatial features from dose distribution to predict incidence of radiation pneumonitis;Liang;Front Oncol,2019

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