Lung Subregion Partitioning by Incremental Dose Intervals Improves Omics-Based Prediction for Acute Radiation Pneumonitis in Non-Small-Cell Lung Cancer Patients

Lung Subregion Partitioning by Incremental Dose Intervals Improves Omics-Based Prediction for Acute Radiation Pneumonitis in Non-Small-Cell Lung Cancer Patients

Purpose: To evaluate the effectiveness of features obtained from our proposed incremental-dose-interval-based lung subregion segmentation (IDLSS) for predicting grade ≥ 2 acute radiation pneumonitis (ARP) in lung cancer patients upon intensity-modulated radiotherapy (IMRT). (1) Materials and Methods...

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Bibliographic Details
Main Authors: Bing Li, Xiaoli Zheng, Jiang Zhang, Saikit Lam, Wei Guo, Yunhan Wang, Sunan Cui, Xinzhi Teng, Yuanpeng Zhang, Zongrui Ma, Ta Zhou, Zhaoyang Lou, Lingguang Meng, Hong Ge, Jing Cai
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Cancers
Subjects:
dosiomics
multi-omics
radiation pneumonitis
radiomics
radiotherapy
Online Access:https://www.mdpi.com/2072-6694/14/19/4889

Internet

https://www.mdpi.com/2072-6694/14/19/4889

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