Advances in dosiomics research
10.3760/cma.j.cn113030-20240328-00122
- VernacularTitle:放射剂量组学研究进展
- Author:
Zheng ZHANG
1
;
Meng YAN
1
;
Lujun ZHAO
1
Author Information
1. 天津医科大学肿瘤医院放疗科，国家恶性肿瘤临床医学研究中心，天津市肿瘤防治重点实验室，天津市恶性肿瘤临床医学研究中心，天津 300060
- Publication Type:Journal Article
- Keywords:
Radiotherapy;
Dosiomics;
Artificial intelligence
- From:
Chinese Journal of Radiation Oncology
2025;34(5):490-496
- CountryChina
- Language:Chinese
-
Abstract:
Accurate description of dose distribution in tumor radiotherapy is essential for the development and evaluation of treatment plans, aiming to improve the prognosis and reduce complications of radiotherapy patients. Traditional dosimetric models are often based on dose-volume histograms; however, this model can result in the loss of dose distribution and texture information in the treatment plan. Dosiomics is a rapidly developing research field that provides a new direction for analyzing information such as dose distribution and texture. This article reviews studies related to dosiomics, aiming to explore its current development status, limitations, and clinical value in radiotherapy.
