呼吸运动下肺癌放疗剂量组特征稳定性的研究

IF 2.7 3区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Physica Medica-European Journal of Medical Physics Pub Date : 2025-07-04 DOI:10.1016/j.ejmp.2025.105040

Kai Zhao , Hui Xu , Jie Zhang , Xiao Lin , Liming Sheng , Yujin Xu , Binbing Wang , Qing Hou , Xue Bai

{"title":"呼吸运动下肺癌放疗剂量组特征稳定性的研究","authors":"Kai Zhao , Hui Xu , Jie Zhang , Xiao Lin , Liming Sheng , Yujin Xu , Binbing Wang , Qing Hou , Xue Bai","doi":"10.1016/j.ejmp.2025.105040","DOIUrl":null,"url":null,"abstract":"<div><h3>Purpose</h3><div>To assess the stability of dosiomic features in response to dose distribution variations caused by respiratory motion.</div></div><div><h3>Methods and Materials</h3><div>A total of 24 lung cancer patients who underwent 4DCT scanning and radiotherapy were included. For each patient, a 3D dose matrix and three 4D dose matrices generated using three distinct methods were calculated. Dosiomic features were extracted from dose distributions for four regions of interest: the gross tumor volume (GTV), the planning target volume (PTV), the heart, and the lung. The stability of each dosiomic feature was evaluated using the coefficient of variation (CV), while reproducibility was assessed using the intraclass correlation coefficient (ICC). The differences between 3D and 4D dose features were determined using the normalized difference (ND).</div></div><div><h3>Results</h3><div>5.0% of dosiomic features had a CV greater than or equal to 20%. The CVs were highest in the GTV region and lowest in the lung region. Additionally, 0.27% of features had an ICC less than 0.5, while 92.74% had an ICC greater than 0.9. 16.48% of features had an absolute value of the ND greater than 0.4.</div></div><div><h3>Conclusions</h3><div>The stability of certain dosiomic features is strongly influenced by respiratory motion in radiotherapy. To ensure result reproducibility, dosiomic studies should fully consider the impact of respiratory motion during dose calculation or excluding unstable features to enhance model stability.</div></div>","PeriodicalId":56092,"journal":{"name":"Physica Medica-European Journal of Medical Physics","volume":"136 ","pages":"Article 105040"},"PeriodicalIF":2.7000,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on the stability of lung cancer radiotherapy dosiomic features under respiratory motion\",\"authors\":\"Kai Zhao , Hui Xu , Jie Zhang , Xiao Lin , Liming Sheng , Yujin Xu , Binbing Wang , Qing Hou , Xue Bai\",\"doi\":\"10.1016/j.ejmp.2025.105040\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Purpose</h3><div>To assess the stability of dosiomic features in response to dose distribution variations caused by respiratory motion.</div></div><div><h3>Methods and Materials</h3><div>A total of 24 lung cancer patients who underwent 4DCT scanning and radiotherapy were included. For each patient, a 3D dose matrix and three 4D dose matrices generated using three distinct methods were calculated. Dosiomic features were extracted from dose distributions for four regions of interest: the gross tumor volume (GTV), the planning target volume (PTV), the heart, and the lung. The stability of each dosiomic feature was evaluated using the coefficient of variation (CV), while reproducibility was assessed using the intraclass correlation coefficient (ICC). The differences between 3D and 4D dose features were determined using the normalized difference (ND).</div></div><div><h3>Results</h3><div>5.0% of dosiomic features had a CV greater than or equal to 20%. The CVs were highest in the GTV region and lowest in the lung region. Additionally, 0.27% of features had an ICC less than 0.5, while 92.74% had an ICC greater than 0.9. 16.48% of features had an absolute value of the ND greater than 0.4.</div></div><div><h3>Conclusions</h3><div>The stability of certain dosiomic features is strongly influenced by respiratory motion in radiotherapy. To ensure result reproducibility, dosiomic studies should fully consider the impact of respiratory motion during dose calculation or excluding unstable features to enhance model stability.</div></div>\",\"PeriodicalId\":56092,\"journal\":{\"name\":\"Physica Medica-European Journal of Medical Physics\",\"volume\":\"136 \",\"pages\":\"Article 105040\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2025-07-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Physica Medica-European Journal of Medical Physics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1120179725001504\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physica Medica-European Journal of Medical Physics","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1120179725001504","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}

引用次数: 0

摘要

目的探讨呼吸运动引起的剂量分布变化对剂量学特征的影响。方法与材料24例肺癌患者行4DCT扫描和放疗。对每位患者计算一个3D剂量矩阵和使用三种不同方法生成的三个4D剂量矩阵。从四个感兴趣区域的剂量分布中提取剂量组特征：总肿瘤体积（GTV）、计划靶体积（PTV）、心脏和肺。使用变异系数（CV）评估每个剂量组特征的稳定性，使用类内相关系数（ICC）评估再现性。结果5.0%的剂量学特征CV大于或等于20%；GTV区cv最高，肺区cv最低。此外，0.27%的特征ICC小于0.5，而92.74%的特征ICC大于0.9。16.48%的特征的ND绝对值大于0.4。结论放射治疗中呼吸运动对某些放射学特征的稳定性有很大影响。为了保证结果的可重复性，剂量组学研究在剂量计算时应充分考虑呼吸运动的影响，或排除不稳定特征以增强模型的稳定性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Study on the stability of lung cancer radiotherapy dosiomic features under respiratory motion

Purpose

To assess the stability of dosiomic features in response to dose distribution variations caused by respiratory motion.

Methods and Materials

A total of 24 lung cancer patients who underwent 4DCT scanning and radiotherapy were included. For each patient, a 3D dose matrix and three 4D dose matrices generated using three distinct methods were calculated. Dosiomic features were extracted from dose distributions for four regions of interest: the gross tumor volume (GTV), the planning target volume (PTV), the heart, and the lung. The stability of each dosiomic feature was evaluated using the coefficient of variation (CV), while reproducibility was assessed using the intraclass correlation coefficient (ICC). The differences between 3D and 4D dose features were determined using the normalized difference (ND).

Results

5.0% of dosiomic features had a CV greater than or equal to 20%. The CVs were highest in the GTV region and lowest in the lung region. Additionally, 0.27% of features had an ICC less than 0.5, while 92.74% had an ICC greater than 0.9. 16.48% of features had an absolute value of the ND greater than 0.4.

Conclusions

The stability of certain dosiomic features is strongly influenced by respiratory motion in radiotherapy. To ensure result reproducibility, dosiomic studies should fully consider the impact of respiratory motion during dose calculation or excluding unstable features to enhance model stability.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Physica Medica-European Journal of Medical Physics 生物-生物物理

CiteScore

6.80

自引率

14.70%

发文量

493

审稿时长

78 days

期刊介绍： Physica Medica, European Journal of Medical Physics, publishing with Elsevier from 2007, provides an international forum for research and reviews on the following main topics: Medical Imaging Radiation Therapy Radiation Protection Measuring Systems and Signal Processing Education and training in Medical Physics Professional issues in Medical Physics.