Research progress on predicting radiation pneumonia based on four-dimensional computed tomography ventilation imaging in lung cancer radiotherapy.
10.7507/1001-5515.202405008
- Author:
Yuyu LIU
1
;
Li WANG
2
;
Yanping GAO
2
;
Xiang PAN
2
;
Meifang YUAN
2
;
Bingbing HE
1
;
Han BAI
2
;
Wenbing LYU
1
Author Information
1. School of Information Science and Engineering, Yunnan University, Kunming 650500, P. R. China.
2. Department of Radiotherapy, Peking University Cancer Hospital Yunnan/Yunnan Cancer Hospital/The Third Affiliated Hospital of Kunming Medical University, Kunming 650118, P. R. China.
- Publication Type:English Abstract
- Keywords:
Four-dimensional computed tomography ventilation imaging;
Lung cancer;
Lung function;
Radiation pneumonitis prediction;
Radiotherapy
- MeSH:
Humans;
Lung Neoplasms/diagnostic imaging*;
Four-Dimensional Computed Tomography/methods*;
Radiation Pneumonitis/etiology*;
Algorithms;
Lung/radiation effects*;
Pulmonary Ventilation
- From:
Journal of Biomedical Engineering
2025;42(4):863-870
- CountryChina
- Language:Chinese
-
Abstract:
Lung cancer is the leading cause of cancer-related deaths worldwide. Radiation pneumonitis is a major complication in lung cancer radiotherapy. Four-dimensional computed tomography (4DCT) imaging provides dynamic ventilation information, which is valuable for lung function assessment and radiation pneumonitis prevention. Many methods have been developed to calculate lung ventilation from 4DCT, but a systematic comparison is lacking. Prediction of radiation pneumonitis using 4DCT-based ventilation is still in an early stage, and no comprehensive review exists. This paper presented the first systematic comparison of functional lung ventilation algorithms based on 4DCT over the past 15 years, highlighting their clinical value and limitations. It then reviewed multimodal approaches combining 4DCT ventilation imaging, dose metrics, and clinical data for radiation pneumonitis prediction. Finally, it summarized current research and future directions of 4DCT in lung cancer radiotherapy, offering insights for clinical practice and further studies.
