HoloPatch: improving intracardiac patch fit through holographically modelled templates.

European heart journal. Imaging methods and practice Pub Date : 2024-10-10 eCollection Date: 2024-07-01 DOI:10.1093/ehjimp/qyae103
Matthias Lippert, Gabriella d' Albenzio, Kathrine Rydén Suther, Karl-Andreas Dumont, Rafael Palomar, Hans Henrik Odland, Ole Jakob Elle, Bjørn Bendz, Henrik Brun
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Abstract

Aims: Structural heart defects, including congenital ventricular septal defect closure or intracardiac rerouting, frequently require surgical reconstruction using hand-cut patch materials. Digitally modelled patch templates may improve patch fit and reduce outflow tract obstruction, residual defect risk, and conduction system damage. In this study, we benchmarked mixed-reality and a desktop application against a digitalized model of a real implanted patch.

Methods and results: Ten patients scheduled for the repair of various defects consented to prospective inclusion in the study. After surgery, a digital model of the implanted patch was created from the residual material. Five clinical experts created 10 digital patches, 1 per patient, both in mixed-reality and desktop application, for comparison with the reference measurements, including the digitalized model of the real patch used during the surgery. Subjective residual shunt risk prediction was performed using both modalities. Digital patches created in mixed-reality closely matched the surgical material, whereas those created using desktop applications were significantly smaller. Different evaluators showed varying preferences for the application of the residual shunt risk and area.

Conclusion: Digitally created patches can assist surgeons in preoperatively sizing of patch implants, potentially reducing post-operative complications.

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HoloPatch:通过全息建模模板改善心内补片贴合。
目的:结构性心脏缺损,包括先天性室间隔缺损闭合或心脏内改道,经常需要使用手工切割的补片材料进行手术重建。数字模拟补片模板可改善补片贴合度,减少流出道阻塞、残余缺损风险和传导系统损伤。在这项研究中,我们以真实植入补片的数字化模型为基准,对混合现实和桌面应用程序进行了评估:十名计划修复各种缺损的患者同意加入本研究。手术后,根据残留材料创建了植入补片的数字化模型。五位临床专家在混合现实和桌面应用程序中创建了 10 个数字补片(每位患者 1 个),以便与参考测量值(包括手术中使用的真实补片的数字化模型)进行比较。主观残余分流风险预测使用两种模式进行。在混合现实中创建的数字补片与手术材料非常匹配,而使用桌面应用程序创建的补片则明显较小。不同的评估者对残余分流风险和面积的应用有不同的偏好:结论:数字创建的补片可以帮助外科医生在术前确定补片植入物的大小,从而减少术后并发症。
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How to address the coronaries in TAVI candidates: can the need for revascularization be safely determined by CT angiography only? Feasibility validation of automatic diagnosis of mitral valve prolapse from multi-view echocardiographic sequences based on deep neural network. Deep learning improves test-retest reproducibility of regional strain in echocardiography. HoloPatch: improving intracardiac patch fit through holographically modelled templates. Issue at a glance.
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