切换至 "中华医学电子期刊资源库"

中华神经创伤外科电子杂志 ›› 2020, Vol. 06 ›› Issue (01) : 49 -52. doi: 10.3877/cma.j.issn.2095-9141.2020.01.012

所属专题: 文献

短篇论著

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
黎鹏程1, 任刚1, 张继志1, 徐铭蔚1, 邓东风1,()   
  1. 1. 116001 大连,大连大学附属中山医院神经外科
  • 收稿日期:2019-08-28 出版日期:2020-02-15
  • 通信作者: 邓东风
  • 基金资助:
    大连市卫生局课题(1811121)

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

Pengcheng Li1, Gang Ren1, Jizhi Zhang1, Mingwei Xu1, Dongfeng Deng1,()   

  1. 1. Department of Neurosurgery, Zhongshan Hospital Affiliated to Dalian University, Dalian 116001, China
  • Received:2019-08-28 Published:2020-02-15
  • Corresponding author: Dongfeng Deng
  • About author:
    Corresponding author: Deng Dongfeng, Email:
引用本文:

黎鹏程, 任刚, 张继志, 徐铭蔚, 邓东风. 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[J]. 中华神经创伤外科电子杂志, 2020, 06(01): 49-52.

Pengcheng Li, Gang Ren, Jizhi Zhang, Mingwei Xu, Dongfeng Deng. Application of interventional therapy for 3D printing cerebral arteriovenous malformation model based on DICOM image fusion technology[J]. Chinese Journal of Neurotraumatic Surgery(Electronic Edition), 2020, 06(01): 49-52.

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 3D 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 3D printed model were used as the test group, and 10 patients of the same level without the 3D 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

3D 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.

表1 试验组Ⅲ级脑动静脉畸形患者的临床资料
表2 对照组Ⅲ级脑动静脉畸形患者的临床资料
表3 试验组患者经MRA/CTA、DSA测量脑动静脉畸形的结果
表4 2组患者治疗参数的统计分析
[1]
王忠诚.王忠诚神经外科学[M]. 2版.武汉:湖北科学技术出版社,2015: 770.
[2]
徐照轩,李榕榕. 3D打印技术在治疗颅内动脉瘤和动静脉畸形中的应用[J].国际脑血管病杂志, 2016, 24(11): 1045-1049.
[3]
中华医学会神经外科学分会介入学组,《脑动静脉畸形介入治疗中国专家共识》编写委员会.脑动静脉畸形介入治疗中国专家共识[J].中华神经外科杂志, 2017, 33(12): 1195-1203.
[4]
李乾,任彤,黄巍,等. 3D-DSA与MRI影像融合技术及其在脑动静脉畸形术前评估中的应用[J].中国微侵袭神经外科杂志, 2016, 21(6): 241-244.
[5]
Tranvinh E,Heit JJ,Hacein-Bey L, et al. Contemporary imaging of cerebral arteriovenous malformations[J]. AJR Am J Roentgenol, 2017, 208(6): 1320-1330.
[6]
Dong M,Chen G,Li J, et al. Three-dimensional brain arteriovenous malformation models for clinical use and residenttraining[J]. Medicine, 2018, 97(3): e9516.
[7]
Thawani JP,Pisapia JM,Singh N, et al. Three-dimensional printed modeling of an arteriovenous malformation including blood flow[J]. World Neurosurg, 2016, 90: 675-683.e2.
[8]
Shimizu S,Suzuki H,Maki H, et al. A novel image fusion visualizes the angioarchitecture of the perforating arteries in the brain[J]. AJNR Am J Neuroradiol, 2003, 24(10): 2011-2014.
[9]
Tsuchiya K,Katase S,Hachiya J, et al. Volume-rendered 3D display of MR angiograms in the diagnosis of cerebral arteriovenous malformations[J]. Acta Radiol, 2003, 44(6): 675-679.
[10]
李鉴轶,孔祥雪,王张林,等. CT与3D-DSA数据源在颅内动静脉畸形3D打印中的初步应用[J].中国脑血管病杂志, 2016, 13(2): 78-81.
[11]
Chang JB,Small KH,Choi M, et al. Three-dimensional surface imaging in plastic surgery: foundation, practical applications, and beyond[J]. Plast Reconstr Surg, 2015, 135(5): 1295-1304.
[12]
March BT,Jayaraman MV. Aneurysms, arteriovenous malformations, and dural arteriovenous fistulas: diagnosis and treatment[J]. Semin Roentgeno1, 2014, 49(1): 10-21.
[13]
Weinstock P,Prabhu SP,Flynn K, et al. Optimizing cerebrovascular surgical and endovascular procedures in children via personalized 3D printing[J]. J Neurosurg Pediatr, 2015, 16(5): 584-589.
[14]
Shah A,Jankharia B,Goel A. Three-dimensional model printing for surgery on arteriovenous malformations[J]. Neurol India, 2017, 65(6): 1350-1354.
[15]
王蕾,张毅. 3D打印技术在神经外科的应用现状与新进展[J].实用医学杂志, 2018, 34(1): 1-4.
[1] 蔡怀杰, 王涵, 孙希希, 曹南, 黄斌, 刘德林. 超声介入医师训练实时影像虚拟导航系统辅助肝癌消融的学习曲线分析[J]. 中华医学超声杂志(电子版), 2021, 18(01): 106-112.
[2] 彭巍炜, 李凤, 邱懿德, 陈颖瑜, 叶亚军, 黄伟俊. 影像融合导航技术与CT在引导经皮肺穿刺活检中的应用价值比较[J]. 中华医学超声杂志(电子版), 2019, 16(02): 138-141.
[3] 储心昀, 李映安, 杨超, 戴已禾, 胡苹苹, 王峻峰, 晋云. 多影像融合超声引导激光消融精准治疗特殊部位肝癌疗效[J]. 中华肝脏外科手术学电子杂志, 2023, 12(03): 317-321.
[4] 李传玉, 徐伟伟, 韦翠翠, 黄海能, 黄华东, 罗起胜, 罗琨祥, 覃成箭, 栗学玉, 郑传华, 蓝川琉, 王向宇. 颅内破裂动脉瘤介入栓塞患者早期预后相关因素分析[J]. 中华神经创伤外科电子杂志, 2020, 06(03): 145-150.
[5] 赵继宗. 脑科学开启神经外科学新纪元[J]. 中华神经创伤外科电子杂志, 2019, 05(04): 193-195.
[6] 李俊, 马廉亭. 多模态三维影像融合技术体系的建立及在脑血管病诊疗中的应用[J]. 中华脑科疾病与康复杂志(电子版), 2023, 13(03): 129-134.
[7] 魏云, 李晓东. 脑动静脉畸形合并颅内动脉瘤的手术治疗[J]. 中华脑科疾病与康复杂志(电子版), 2022, 12(06): 382-383.
[8] 黎鹏程, 黄谦亦, 云德波, 范润金, 尚彬. 3D打印技术在脑动静脉畸形诊疗中的研究进展[J]. 中华脑科疾病与康复杂志(电子版), 2021, 11(02): 121-124.
[9] 王硕. 复合手术治疗脑血管疾病的研究进展[J]. 中华脑科疾病与康复杂志(电子版), 2019, 09(04): 193-195.
[10] 王昊, 许民辉. 脑动静脉畸形合并颅内动脉瘤的研究进展[J]. 中华脑科疾病与康复杂志(电子版), 2019, 09(02): 113-116.
[11] 胡锦华, 李涛, 崔屹, 张春清. 影像融合技术在经颈静脉肝内门体分流术门静脉穿刺引导中的应用进展[J]. 中华消化病与影像杂志(电子版), 2022, 12(05): 302-305.
[12] 张永裕, 贺嘉男, 王大帅, 赵逆, 黄伟乐, 郭辉. CT影像融合引导经颈静脉肝内门体分流术中门静脉穿刺[J]. 中华介入放射学电子杂志, 2022, 10(04): 365-370.
[13] 郭德华, 贺迎坤, 白卫星, 何艳艳, 李天晓. 脑动静脉畸形部分栓塞术后血管组织增殖与凋亡的变化[J]. 中华介入放射学电子杂志, 2022, 10(02): 152-157.
[14] 黄文诺, 张喜成, 吕朋华, 叶靖, 王书祥, 孙陵, 陈兆雷, 孙元, 徐淼, 王福安, 徐川. 复合手术室智能移动三维导航技术在近肾型腹主动脉瘤腔内治疗中的应用效果评价[J]. 中华介入放射学电子杂志, 2019, 07(04): 300-304.
[15] 陈雄焕, 胡培阳. 3D打印模型在骨盆骨折外固定训练中的效果研究[J]. 中华卫生应急电子杂志, 2023, 09(03): 163-165.
阅读次数
全文


摘要