中国中西医结合影像学杂志2026，Vol.24Issue(2)：239-243,5.DOI:10.3969/j.issn.1672-0512.2026.02.022
MRI与CT图像融合配准技术在中心型肺癌放疗肿瘤靶区勾画中的应用价值
Application of MRI-CT image fusion for target volume definition in central lung cancer radiotherapy
摘要
Abstract
Objective:To assess the effectiveness of MRI-CT image fusion registration for target volume definition in central lung cancer radiotherapy.Methods:A study was conducted on 82 patients with central lung cancer who recieved radiotherapy,and their tumor target volumes were delineated using both CT scans and MRI-CT image fusion.The size(length,thickness),coefficient of variation(CV),morphological consistency(ratio of maximum to minimum,Ratio),of the gross tumor volume(GTV)and clinical target area(CTV),radiation dose,SNR inside and outside the target area boundary,and graphic grayscale value were compared between the two delineation methods.And the changes in the characteristics of the target area before and after fusion were analyzed.Results:The minimum and maximum radiation doses in the fusion images were significantly lower than those in CT images(both P＜0.05).The volume,length and thickness of GTV and CTV in CT images were all larger than those in the fusion images(all P＜0.05).The CV and Ratio values of GTV and CTV in CT images were higher than those in the fusion images(all P＜0.05).The SNR and graph gray value in CT images were lower than those in the fusion images(both P＜0.05).Conclusions:The study concludes that relying on CT scans alone for defining tumor target volumes in radiotherapy is limited in precision.In contrast,the use of MRI-CT image fusion technology significantly enhances the accuracy of target volume delineation for central lung cancer,leading to improved precision in radiotherapy delivery.关键词
肺肿瘤/磁共振成像/体层摄影术,X线计算机/图像融合/放射疗法Key words
Lung neoplasms/Magnetic resonance imaging/Tomography,X-ray computed/Image fusion/Radiotherapy分类
医药卫生引用本文复制引用
李苓,刘萍,王伟,于世伦..MRI与CT图像融合配准技术在中心型肺癌放疗肿瘤靶区勾画中的应用价值[J].中国中西医结合影像学杂志,2026,24(2):239-243,5.基金项目
2024年度枣庄市科技创新工程(科技发展计划)项目(2024NS100) （科技发展计划）
2023年度山东省医务职工科技创新计划项目(联合立项)(SDYWZGKCJHLH2023053). （联合立项）
