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HoloPatch: improving intracardiac patch fit through holographically modelled templates
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,...
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Published in: | European heart journal. Imaging methods and practice 2024-07, Vol.2 (3), p.qyae103 |
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container_title | European heart journal. Imaging methods and practice |
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creator | Lippert, Matthias d' Albenzio, Gabriella Suther, Kathrine Rydén Dumont, Karl-Andreas Palomar, Rafael Odland, Hans Henrik Elle, Ole Jakob Bendz, Bjørn Brun, Henrik |
description | 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. |
doi_str_mv | 10.1093/ehjimp/qyae103 |
format | article |
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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.
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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.
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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.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>39439746</pmid><doi>10.1093/ehjimp/qyae103</doi><orcidid>https://orcid.org/0000-0002-1392-6481</orcidid><orcidid>https://orcid.org/0000-0003-0259-292X</orcidid><oa>free_for_read</oa></addata></record> |
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title | HoloPatch: improving intracardiac patch fit through holographically modelled templates |
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