基于DICOM影像融合技术3D打印脑动静脉畸形模型的介入治疗应用研究  

Application of interventional therapy for 3D printing cerebral arteriovenous malformation model based on DICOM image fusion technology

作　　者：黎鹏程 任刚[1] 张继志[1] 徐铭蔚 邓东风[1] Li Pengcheng;Ren Gang;Zhang Jizhi;Xu Mingwei;Deng Dongfeng(Department of Neurosurgery,Zhongshan Hospital Affiliated to Dalian University,Dalian 116001,China)

机构地区：[1]大连大学附属中山医院神经外科

出　　处：《中华神经创伤外科电子杂志》2020年第1期49-52,共4页Chinese Journal Of Neurotraumatic Surgery：Electronic Edition

基　　金：大连市卫生局课题(1811121)

摘　　要：目的探讨3D打印脑动静脉畸形(AVM)模型在介入栓塞治疗中的临床应用价值。方法回顾性收集2016年1月至2019年6月于大连大学附属中山医院神经外科行介入栓塞治疗的AVM患者的临床资料。纳入术前完善常规影像学检查且构建3D打印模型的10例患者为试验组,以同等级的未构建3D打印模型的10例患者为对照组,对栓塞前后畸形血管团大小、栓塞率、手术时间等资料进行比较。结果试验组与其MRA/CTA所测得的AVM大小比较差异具有统计学意义(P<0.05)。试验组的平均栓塞率高于对照组。试验组的栓塞前后面积的平均差值显著高于对照组,平均手术时间小于对照组的平均手术时间,差异具有统计学意义(P<0.05)。试验组与其DSA所测AVM大小差异无统计学意义(P>0.05)。结论基于DICOM影像融合技术3D打印脑AVM模型能更加直观、精确地显示AVM解剖结构特征,在明确AVM大小、S-M分级、提高栓塞治疗效果以及缩短手术时间等方面,具有较大的临床应用价值。Objective To explore the clinical value of 3 D printed cerebral arteriovenous malformation(AVM) model in interventional embolization therapy. Methods Retrospective collection of clinical data of patients with AVM who underwent interventional embolization at the Department of Neurosurgery, Zhongshan Hospital Affiliated to Dalian University from January 2016 to June 2019. Ten patients who were included in the preoperative routine imaging examination and constructed a 3 D printed model were used as the test group, and 10 patients of the same level without the 3 D printed model were used as the control group, to compare the size of the deformed vascular mass before and after embolization, the embolization rate, and the operation time etc. Results The difference in AVM size between the test group and its MRA/CTA was statistically significant(P<0.05). The average embolization rate of the test group was higher than that of the control group. The average difference of the area before and after embolization in the test group was significantly higher than that in the control group, and the average operation time was shorter than that in the control group(P <0.05). There was no significant difference in the AVM size between the test group and its DSA(P >0.05). Conclusion 3 D printing brain AVM model based on DICOM image fusion technology can display AVM anatomical structure features more directly and accurately, and has great clinical application value in clarifying AVM size, S-M classification, improving embolization effect and shortening operation time.

关 键 词：脑动静脉畸形 影像融合 3D打印模型 介入栓塞治疗 

分 类 号：R74[医药卫生—神经病学与精神病学]