目的探讨应用3D打印技术指导开窗/分支支架技术(fenestrated /branched endovascular repair,F/B-EVAR)血管腔内修复胸腹主动脉疾病的经验。
方法回顾性分析2018年2月至2023年3月全国范围内69家医疗中心采用3D打印技术指导医师自制支架行F/B-EVAR修复胸腹主动脉病变共316例患者的临床及随访资料。
结果本组中位随访时间23个月(2~60个月),随访丢失24例,随访率92.4%(292/316),平均术后住院时间(8.2±4.9)d,共重建胸腹主段分支动脉944条。术中11条分支动脉重建失败,成功率98.8%(933/944)。术后30 d内,死亡8例,死亡率2.5%,随访中死亡6例,共死亡14例,死亡率4.4%(14/316)。脊髓缺血11例(3.5%),无永久性截瘫。术后肾功能损伤19例(6.0%)。术后26例患者检查中发现内漏,内漏率8.2%。
结论3D打印技术可对分支动脉位置个体化精准定位,同时简化手术流程,缩短学习曲线且临床疗效较佳。
ObjectiveTo study the application of 3D printing technology in multi-center fenestrated/branched endovascular repair (F/B-EVAR) for endovascular repair of abdominal aortic diseases.
MethodsFrom Feb 2018 to Mar 2023, The clinical and followup data of 316 cases of abdominal aortic lesions undergoing repair with F/B-EVAR at 69 medical centers nationwide using 3D printing technology to guide physician-modified stent graft were retrospectively analyzed.
ResultsThe mean follow-up time of the patients was 23 months (2-60 months), and 24 cases were lost to follow up, the follow-up rate was 92.4% (292/316), the mean postoperative hospitalization time was (8.2±4.9) days. A total of 944 main abdominal branch arteries were reconstructed. Intraoperative reconstruction of 11 branches failed, with a success rate of 98.8% (933/944). Within 30 days after surgery, 8 patients died (2.5%), and 6 patients died during follow-up, a total of 14 patients died (4.4%). There were 11 cases (3.5%) of spinal cord ischemia and no patient suffered from permanent paraplegia. There were 19 patients (6.0%) with postoperative renal function injury. Internal leakage was found in 26 patients, and the rate of internal leakage was 8.2%.
Conclusion3D printing technology can accurately locate the location of branch arteries, simplifing the surgical process, shortening the learning curve , and improving clinical efficacy.
韩月雪,金怡,付东生,等. 3D打印指导下开窗/分支支架治疗胸腹主动脉病变:全国多中心回顾性研究[J]. 中华普通外科杂志,2024,39(07):527-533.
DOI:10.3760/cma.j.cn113855-20230818-00067版权归中华医学会所有。
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韩月雪:起草文章,酝酿和设计实验,统计并分析数据;金怡、付东生、胡健航,:采集数据、分析/结解释数据;段剑锋、孙莉莉:获取研究经费;王冕、于浩、苏奕明、华正东、陈志丹、郭世奎、化召辉:实施研究,支持性贡献;李晓强、刘昭:实施研究,对文章的知识性内容作批阅性审阅,获取研究经费,行政、技术或材料支持

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