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首页> 外文期刊>The Canadian Journal of Neurological Sciences: le Journal Canadien des Sciences Neurologiques >P.034 Evaluation of modeling software for deployment of Pipeline stents in the endovascular treatment of intracranial aneurysms
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P.034 Evaluation of modeling software for deployment of Pipeline stents in the endovascular treatment of intracranial aneurysms

机译：P.034颅内动脉腹血管治疗管道支架造型软件的评价

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Background: Flow diversion is an established endovascular method for the treatment of intracranial aneurysms. The Pipeline Embolization Device (PED) remains the only FDA-approved stent available in USA and Canada since 2011. Stent position plays an important role in determining long-term success. The Leonardo Workstation(Siemens) is used for planning the ideal stent size and post-deployment destination. This first-ever study evaluates the accuracy of modeling software in predicting PED location post-deployment. Methods: 48 PED-assisted cases were performed 2012-2018 at the University of Alberta Hospital. 20 fit our preliminary inclusion criteria (single stents, simple anatomy). The proximal and distal landing zones were used to model the ideal stent using Leonardo. Accuracy was measured by comparing the Leonardo-predicted stent length vs known length. Results modeling against the dimensions predicted by AngioSuite, an app-based interface designed for use in the planning stages. Results: Leonardo workstation is accurate within 5mm at predicting final length for stents oversized by ≥0.25 cm. The predicted difference by Leonardo workstation & AngioSuite did not demonstrate statistical significance (P=0.36, P=0.24 respectively). Conclusions: Current angiographic planning tools are accurate at predicting PED deployment within 5mm. Complex vascular anatomy and deployment of multiple stents make prediction challenging. Analysis of these complex cases is currently underway.
机译：背景：流动转移是一种用于治疗颅内动脉瘤的既定血管内方法。管道栓塞装置（PED）仍然是自2011年以来的美国和加拿大可用的唯一可用的FDA批准的支架。支架位置在确定长期成功方面发挥着重要作用。 Leonardo Workstation（西门子）用于规划理想的支架大小和部署后目的地。这首次研究评估了建模软件在部署后预测PED位置的准确性。方法：在艾伯塔大学医院进行了2012-2018案件，48件PED辅助案件。 20符合我们初步纳入标准（单支架，简单的解剖学）。近端和远端着陆区用于使用Leonardo模拟理想支架。通过比较Leonardo预测支架长度Vs已知长度来测量精度。结果采用Angiosuite预测的尺寸，设计用于规划阶段的应用界面。结果：Leonardo Workstation在5毫米内准确，预测超大≥0.25厘米的支架的最终长度。 Leonardo工作站和Anviosuite的预测差异未显示统计学意义（分别为0.36，p = 0.24）。结论：目前的血管造影规划工具准确在5mm内预测PED部署。复杂的血管解剖和多个支架的部署使预测具有挑战性。目前正在进行这些复杂病例的分析。

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