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对二叶式主动脉瓣疾病患者经导管主动脉瓣植入的患者特异性计算机建模的见解。

Insight on patient specific computer modeling of transcatheter aortic valve implantation in patients with bicuspid aortic valve disease.

作者信息

Brouwer Jorn, Gheorghe Livia, Nijenhuis Vincent J, Ten Berg Jurrien M, Rensing Benno J W M, van der Heyden Jan A S, Swaans Martin J

机构信息

St Antonius Hospital, Nieuwegein, The Netherlands.

出版信息

Catheter Cardiovasc Interv. 2019 May 1;93(6):1097-1105. doi: 10.1002/ccd.27990. Epub 2018 Nov 20.

Abstract

OBJECTIVE

The aim of this study was to describe the early use of dedicated patient specific computer modeling in patients with bicuspid aortic valve (BAV) undergoing transcatheter aortic valve implantation (TAVI), in predicting procedure feasibility and patient related outcome.

BACKGROUND

Dedicated patient specific computer modeling, used for optimizing TAVI procedures, is currently validated for the prediction of contact pressure, valve morphology and paravalvular leakage (PVL). The simulation of TAVI procedures is increasingly used in patients with tricuspid aortic valve stenosis. Currently, BAV disease is considered as a relative contra-indication for TAVI due to its specific anatomical characteristics.

METHODS

This single center study consisted of seven patients with BAV undergoing TAVI. A patient specific computer simulation was performed based on multislice computer tomography images. The model advised the best fitting prosthetic valve size or sizes and simulated this valve on different implantation depths with the corresponding presence and severity of PVL and prosthetic valve morphology. The simulation results were compared with the procedural outcomes using transesophageal echocardiography (TEE) and fluoroscopy.

RESULTS

The patient specific computer modeling predicted accurately the outcome (PVL and valve morphology) of TAVI in all cases. In one case, the TAVI procedure was unsuccessful and retrospectively not suitable for TAVI, which was correctly predicted by the model.

CONCLUSION

The patient specific computer modeling adequately predicts feasibility and outcome of TAVI in patients with BAV disease and may extend the applicability of TAVI. Moreover, it improves decision-making and therefore individual procedural outcomes in this difficult patient population.

摘要

目的

本研究旨在描述在接受经导管主动脉瓣植入术(TAVI)的二叶式主动脉瓣(BAV)患者中早期使用专用的个体化计算机建模,以预测手术可行性和患者相关结局。

背景

用于优化TAVI手术的专用个体化计算机建模目前已被验证可用于预测接触压力、瓣膜形态和瓣周漏(PVL)。TAVI手术的模拟在三尖瓣主动脉瓣狭窄患者中越来越多地被使用。目前,由于其特定的解剖特征,BAV疾病被认为是TAVI的相对禁忌证。

方法

这项单中心研究包括7例接受TAVI的BAV患者。基于多层计算机断层扫描图像进行个体化计算机模拟。该模型建议最合适的人工瓣膜尺寸,并在不同植入深度模拟该瓣膜,同时模拟相应的PVL存在情况和严重程度以及人工瓣膜形态。使用经食管超声心动图(TEE)和荧光透视法将模拟结果与手术结果进行比较。

结果

个体化计算机建模在所有病例中均准确预测了TAVI的结果(PVL和瓣膜形态)。在1例病例中,TAVI手术未成功,且回顾性分析不适合进行TAVI,该情况被模型正确预测。

结论

个体化计算机建模能够充分预测BAV疾病患者TAVI的可行性和结果,并可能扩大TAVI的适用范围。此外,它改善了决策制定,从而改善了这一困难患者群体的个体手术结局。

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