Mayo Clinic Aortic Center, Advanced Endovascular Aortic Research Program, Division of Vascular and Endovascular Surgery, Mayo Clinic, Rochester, MN, USA.
Department of Radiology, Anatomic Modeling Laboratory, Mayo Clinic, Rochester, MN, USA.
Cardiovasc Intervent Radiol. 2019 Nov;42(11):1627-1634. doi: 10.1007/s00270-019-02257-y. Epub 2019 Jun 13.
Abdominal aortic aneurysm (AAA) models can be manufactured with 3D printing technology. This study describes detailed methodology and validation of endovascular aortic repair (EVAR) simulation using 3D printed AAA model connected to hemodynamic pump.
The AAA model was printed with Objet500 Connex3 (Stratasys, Eden Prairie, MN) and connected to BDC PD-0500 fluid pump (BDC Laboratories, Wheat Ridge, CO). EVAR procedure metrics were benchmarked in two expert implanters and compared to 20 vascular surgical trainees with different levels of EVAR experience (< 20 or ≥ 20 cases). All simulations were performed using commercially available stent grafts, guidewires, catheters, fluoroscopic guidance and digital subtraction angiography. Studied outcomes included ability to complete the procedure independently, time to deploy aortic component, ability to cannulate contralateral gate and complete the repair, and total fluoroscopy and procedure times.
A total of 22 EVAR simulation procedures were performed with mean procedure time of 37 ± 12 min. Experienced trainees had significantly lower total procedural time (32 ± 9 vs. 44 ± 6 min, P = 0.003) and fluoroscopic time (13 ± 5 vs. 23 ± 8 min, P = 0.005). All experienced trainees completed the procedure independently in < 45 min, compared to six (46%) of those with less EVAR experience (P = 0.016). Among less experienced trainees, only two (15%) completed the entire procedure independently (P < 0.001). Benchmark implanters performed significantly better than both trainee groups in nearly all EVAR metrics.
EVAR simulation was feasible and simulated all procedural steps with high fidelity. This model may be applicable for assessment of technical competencies and standard endovascular skill acquisition within vascular surgery training curricula.
腹主动脉瘤(AAA)模型可以通过 3D 打印技术制造。本研究描述了使用连接到血流泵的 3D 打印 AAA 模型进行血管内修复(EVAR)模拟的详细方法和验证。
使用 Objet500 Connex3(Stratasys,Eden Prairie,MN)打印 AAA 模型,并将其连接到 BDC PD-0500 流体泵(BDC Laboratories,Wheat Ridge,CO)。在两名专家植入者和 20 名具有不同 EVAR 经验(<20 或≥20 例)的血管外科受训者中对 EVAR 程序指标进行了基准测试。所有模拟均使用市售的支架移植物、导丝、导管、荧光透视引导和数字减影血管造影进行。研究结果包括独立完成手术的能力、部署主动脉组件的时间、对侧门的插管能力和完成修复的能力,以及总荧光透视时间和手术时间。
共进行了 22 例 EVAR 模拟手术,平均手术时间为 37±12 分钟。经验丰富的受训者总手术时间明显缩短(32±9 与 44±6 分钟,P=0.003)和荧光透视时间(13±5 与 23±8 分钟,P=0.005)。所有经验丰富的受训者在<45 分钟内均能独立完成手术,而经验较少的受训者中只有 6 名(46%)能做到(P=0.016)。在经验较少的受训者中,只有 2 名(15%)能够独立完成整个手术(P<0.001)。基准植入者在几乎所有 EVAR 指标上的表现均优于两组受训者。
EVAR 模拟是可行的,并且可以高度逼真地模拟所有手术步骤。这种模型可能适用于评估血管外科培训课程中的技术能力和标准血管内技能习得。