Lippert Matthias, d' Albenzio Gabriella, Suther Kathrine Rydén, Dumont Karl-Andreas, Palomar Rafael, Odland Hans Henrik, Elle Ole Jakob, Bendz Bjørn, Brun Henrik
Division for Technology and Innovation, The Intervention Centre, Oslo University Hospital, PO Box 4950 Nydalen, 0424 Oslo, Norway.
Institute of Clinical Medicine, University of Oslo, Kirkeveien 166, 0450 Oslo, Norway.
Eur Heart J Imaging Methods Pract. 2024 Oct 10;2(3):qyae103. doi: 10.1093/ehjimp/qyae103. eCollection 2024 Jul.
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.
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.
Digitally created patches can assist surgeons in preoperatively sizing of patch implants, potentially reducing post-operative complications.
结构性心脏缺陷，包括先天性室间隔缺损闭合或心内改道，通常需要使用手工切割的补片材料进行手术重建。数字化建模的补片模板可能会改善补片贴合度，并减少流出道梗阻、残余缺损风险和传导系统损伤。在本研究中，我们将混合现实和桌面应用程序与实际植入补片的数字化模型进行了对比。
10名计划修复各种缺陷的患者同意前瞻性纳入本研究。手术后，从残余材料创建植入补片的数字模型。5名临床专家在混合现实和桌面应用程序中为每位患者创建了10个数字补片，用于与参考测量值进行比较，包括手术中使用的实际补片的数字化模型。使用这两种方式进行主观残余分流风险预测。在混合现实中创建的数字补片与手术材料紧密匹配，而使用桌面应用程序创建的补片明显更小。不同评估者对残余分流风险和面积的应用表现出不同的偏好。
数字化创建的补片可以帮助外科医生在术前确定补片植入的尺寸，可能减少术后并发症。
