From the Neuroradiology Department (R.R., J.P.C.), Instituto de Neurocirugia Dr. Asenjo, Santiago, Chile
CNRS XLIM UMLR 7252 (R.R., A.R., C.M.), Université de Limoges, Limoges, France.
AJNR Am J Neuroradiol. 2024 May 9;45(5):612-617. doi: 10.3174/ajnr.A8188.
Transvenous embolization has emerged as a novel technique for treating selected brain AVMs with high reported occlusion rates. However, it requires anatomic and technical skills to be successful and to ensure patient safety. Therefore, training and testing are essential for preparing clinicians to perform these procedures. Our aim was to develop and test a novel, patient-specific brain AVM in vitro model for transvenous embolization by using 3D printing technology.
We developed a brain AVM in vitro model based on real patient data by using stereolithography resin 3D printing. We created a closed pulsed circuit with flow passing from the arterial side to the venous side, and we tested the effect of mean arterial pressure on retrograde nidal filling with contrast injections. Transvenous embolization simulations were conducted for each of the 12 identical models divided into 2 groups (2×6). This involved the use of an ethylene-vinyl alcohol liquid embolic agent injected through microcatheters either without or with a coil in the vein (groups 1 and 2, respectively).
Retrograde contrast advance to nidus was directly related to lower mean arterial pressure. Transvenous embolization tests with a liquid embolic agent adequately reproduced the usual embolization plug and push technique. We found no differences between the 2 group conditions, and additional venous coil neither increased nidus penetration nor reduced injection time in the model (57.6 versus 61.2% nidus occlusion rate, respectively).
We were able to develop and test a functional in vitro brain AVM model for transvenous embolization by using 3D printing to emulate its conditions and characteristics. Better contrast penetration was achieved with less mean arterial pressure, and no embolization advantage was found by adding coil to the vein in this model.
经静脉栓塞术已成为一种治疗特定高闭塞率脑动静脉畸形的新方法。然而,为了确保患者安全,它需要具备解剖学和技术技能。因此,培训和测试对于准备临床医生进行这些手术至关重要。我们的目的是通过使用 3D 打印技术开发和测试一种新的、基于患者的脑动静脉畸形体外模型,用于经静脉栓塞。
我们通过立体光刻树脂 3D 打印,基于真实患者数据开发了一个脑动静脉畸形体外模型。我们创建了一个从动脉侧到静脉侧的封闭脉冲回路,并通过对比剂注射测试了平均动脉压对逆行巢填充的影响。我们对 12 个相同模型中的每一个进行了经静脉栓塞模拟,分为 2 组(每组 6 个)。这涉及通过微导管注射乙烯-乙烯醇液体栓塞剂,分别在静脉中不放置或放置线圈(分别为第 1 组和第 2 组)。
逆行对比剂向巢的推进与平均动脉压降低直接相关。使用液体栓塞剂进行的经静脉栓塞测试充分再现了通常的栓塞塞和推进技术。我们发现 2 组条件之间没有差异,在模型中额外的静脉线圈既没有增加巢的穿透率,也没有减少注射时间(分别为 57.6%和 61.2%的巢闭塞率)。
我们能够通过使用 3D 打印模拟其条件和特征来开发和测试用于经静脉栓塞的功能性脑动静脉畸形体外模型。较低的平均动脉压可实现更好的对比剂穿透,而在该模型中向静脉添加线圈并未发现栓塞优势。