简介:摘要:目的:本项研究的目的是考察一种创新的PET-CT图像配准技术,并借助该方法优化放射性治疗过程中的剂量计量技术,旨在增强疗效的精准度和提升病人的安全保障。方法:本研究实施了一种基于深度学习的图像配准算法对PET-CT图像进行自动配准,并对50位接受放射疗法的病患进行了该技术的应用验证。收集校正前后的视觉资料应用优化的剂量估算方法来判定校正成效,并透过临床监测确认校正与剂量估算的精确度。结果:通过引入深度学习技术,我们的图像配准方法在视觉和数量上均显著优于传统方法,配准精度达到98.5%,并且将剂量计算的误差减少到1.2%以下。在治疗监测阶段采纳本研究所提出的方案进行治疗的病人,疗效显著优于对照组,且不良反应出现的比例较低(15%相较于25%)。结论:本实验所构建的深度学习驱动的PET-CT图像配准及辐射剂量测量方法,在增强放疗准确度和病人保护层面展现了突出的益处。
简介:摘要目的评价PET-CT图像融合在局部复发鼻咽癌调强放疗靶区勾画中的作用.方法首先单独基于MRI行复发鼻咽癌靶区勾画,之后应用PET-CT和MRI共同制定靶区,以共同制定靶区为主,进行调强放疗.结果按PET-CT和MRI共同制定计划,18例调强放疗患者GTV均较单独应用IMR勾画靶区发生改变,放疗后随访均超过1年,除2例发生反复鼻咽出血,其余未发生残余及复发.结论利用PET-CT和MRI共同勾画靶区对复发鼻咽癌靶区勾画明显有利,近期疗效满意.关键词复发鼻咽癌;PET-CT;调强放疗;靶区勾画中图分类号R730.5文献标识码B文章编号1008-6315(2015)12-0535-02
简介:AbstractThe aim of this paper is to discuss the risk of recurrence in patients with differentiated thyroid cancer and emphasize the importance of risk-group stratification, early recurrence identification and application of new imaging modalities, what is the PET-CT. Moreover, follow-up of patients with thyroid carcinoma should be carried out by specialized teams throughout life. Therefore, interdisciplinary case discussions in tumor conferences may improve the use of multimodal therapy especially in patients with poorly differentiated thyroid carcinomas. After baseline follow-up, if there is a suspicion of thyroid carcinoma, early PET-CT should be used for early detection and appropriate planning. Fortunately, due to the good localization possibility, the PET-CT enables a focused surgical procedure with avoidance of an unnecessary tumor search and thereby a reduction of the risk of injury of neighboring structures which is a concern with reoperative neck surgery.