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3D打印结合影像融合技术在脊柱肿瘤手术中的应用(附18例临床分析)

Application of 3D printing combined with image fusion technique in spinal tumor surgery
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摘要 目的应用3D打印技术及影像三维融合对脊柱肿瘤手术进行术前评估及手术入路指导,规避手术风险。方法选取2017年3月至2019年3月期间18例脊柱肿瘤患者设为3D组,术前对该组患者的影像数据进行三维影像融合,结合3D打印技术制作目标模型,为手术切口指定、术中风险预处理做出指导;选取2014年3月至2017年3月期间行传统脊柱肿瘤手术治疗的22例患者设为对照组,两组均依据FranKel神经功能分级与改良的MacNab疗效评定标准进行术后疗效随访评价,从而对两组手术预后作比较。结果 3D组术后神经功能分级与症状缓解程度优于传统组手术(P<0.05)。结论 3D技术应用于脊柱肿瘤的术前计划,术中可以尽可能完整的切除肿瘤组织,同时避免重要血管、神经的损伤,改善了脊柱肿瘤患者手术成功率,改善术后患者生存质量。 Objective Application of 3 D printing and 3 D image fusion to spinal tumor surgery preoperative assessment and guidance of surgical approach,avoid operation risk.Methods Selection during March 2017 to March 2019,18 patients with spinal tumor were set as 3 D group,for this group of patients with preoperative image data for 3 D image fusion,in combination with 3 D printing production target model,specify,intraoperative risk pretreatment for incision make guidance;Selection during March 2014 to March 2017 lines of traditional spinal tumor surgery in 22 patients as control group,both groups according to FranKel classification and neurological function modified MacNab curative effect evaluation standard of curative effect of postoperative follow-up evaluation,and prognosis of two groups of surgery.Results 3 D group of postoperative nerve function classification and degree of symptoms is superior to the traditional operation group(P<0.05).Conclusion 3 D technology is applied to spinal tumor preoperative planning,intraoperative can complete removal of the tumor tissue,as much as possible while avoiding important blood vessels,nerve damage,improve the success rate of patients with spinal tumor surgery,improve the quality of life of postoperative patients.
作者 李海马 千超 李峰 张毓 高喜松 党连锋 肖学谦 刘锋 Li Haima;Li Feng;Zhang Yu(Department of Neurosurgery,215 Hospital of Shaanxi Nuclear Industry,Xianyang,712000,China)
机构地区 陕西省核工业
出处 《立体定向和功能性神经外科杂志》 2019年第5期277-280,共4页 Chinese Journal of Stereotactic and Functional Neurosurgery
关键词 脊柱肿瘤手术 多模态影像融合 3D打印技术 模型 Apinal tumor surgery Multi-modal image fusion 3D printing technology Model
作者简介 通讯作者:李峰,neuroli@sina.com
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