中国医学装备2017，Vol.14Issue(4)：21-24,4.DOI:10.3969/J.ISSN.1672-8270.2017.04.004
多模态影像引导125I粒子植入治疗恶性肿瘤的现状与进展
The present situation and progress of 125I particle implantation therapy guided by multimodality imaging for malignant tumors
摘要
Abstract
How to study a method that can significantly improve the therapeutic gain ratio of malignant tumor is one of the problems must be solved in the field of cancer therapy. However, how can effectively treat malignancy patients with contraindications of operation, radiotherapy and chemotherapy has been a difficult problem in cancer therapy. The 125I brachytherapy was suitable for malignancy patients with contraindications of operation, radiotherapy and chemotherapy. The guidance of multimodal imaging could contribute to the definitions of tissue density imaging target and biological target, and could ensure the targeting and conformity of treatment. Using the quality assurance and quality control measurements (QA/QC) optimized by radiation dosimetry; using therapy planning system (TPS) to make plan, and adopt optimizing radiation dosimetry and dose volume histogram (DVH) to evaluate TPS, and using image to guide particle implantation and adopt series of methods, such as real-time location verification, dosimetry verification post-implantation, therapy efficacy determination, follow-up and so on, to improve therapeutic gain ratio and partially control therapy efficacy, and then significantly reduce adverse reaction. All of these have important clinical value for increasing survival rate and quality of life.关键词
放射性125I粒子/植入治疗/近距离治疗/多模态影像引导/放射剂量优化/治疗增益比Key words
Radioactive 125I particle/Implantation therapy/Brachytherapy/Multimodal imaging guidance/Optimization of radiation dosage/Therapeutic gain ratio分类
医药卫生引用本文复制引用
李小东,王荣福..多模态影像引导125I粒子植入治疗恶性肿瘤的现状与进展[J].中国医学装备,2017,14(4):21-24,4.基金项目
国家重大科学仪器设备开发专项(2011YQ03011409)"基于多模态分子影像技术的新型肿瘤新生血管靶向显象剂及治疗药物研究" （2011YQ03011409）
国家"十二五"支撑项目基金(2014BAA03B03)"99Tcm-RRL新型靶向肿瘤新生血管放射性药物的实验研究" （2014BAA03B03）
天津市自然科学基金重点项目(16JCZDJC35100)"多模态金纳米探针提高非小细胞肺癌精准诊断的研究" （16JCZDJC35100）
