Patient-specific mixed reality for venus P-valve implantation: A novel approach to procedural planning

This study assesses the use of mixed reality (MxR) technology for procedural planning in transcatheter pulmonary valve implantation (TPVI) with the Venus P-Valve. Holographic models were created from CT data to aid in valve sizing and implantation strategies, with two operators comparing measurements for valve diameter and length. Among 26 patients who underwent successful implantation, concordance between operators was 60 % for valve diameter and 88 % for valve length. Predictions using holographic models showed 96 % concordance for implanted valve length, type of the approach (92 %) and 50 % concordance for valve diameter. These results highlight the potential of MxR for improving TPVI planning, though the limited accuracy for valve diameter suggests a need for further advancements, such as computational modeling or machine learning, to optimize procedural outcomes in interventional cardiology.

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Publication Details

Journal
International Journal of Cardiology Congenital Heart Disease
Published
2025-08-25
DOI
https://doi.org/10.1016/j.ijcchd.2025.100614
Primary Topic
Surgical Simulation and Training
Type
article
Field-Weighted Citation Impact
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article

Patient-specific mixed reality for venus P-valve implantation: A novel approach to procedural planning

Giulia Pasqualin, Francesca Bevilacqua, Luca Giugno, Laura Schianchi et al.
International Journal of Cardiology Congenital Heart Disease
Surgical Simulation and Training
article

Patient-specific mixed reality for venus P-valve implantation: A novel approach to procedural planning

Giulia Pasqualin, Francesca Bevilacqua, Luca Giugno, Laura Schianchi, Angelo Fabio D’Aiello, Sara Boveri, A. Giamberti, Massimo Chessa, Angelo Micheletti, Luciane Piazza, Diana Gabriela Negura
article en

Abstract

This study assesses the use of mixed reality (MxR) technology for procedural planning in transcatheter pulmonary valve implantation (TPVI) with the Venus P-Valve. Holographic models were created from CT data to aid in valve sizing and implantation strategies, with two operators comparing measurements for valve diameter and length. Among 26 patients who underwent successful implantation, concordance between operators was 60 % for valve diameter and 88 % for valve length. Predictions using holographic models showed 96 % concordance for implanted valve length, type of the approach (92 %) and 50 % concordance for valve diameter. These results highlight the potential of MxR for improving TPVI planning, though the limited accuracy for valve diameter suggests a need for further advancements, such as computational modeling or machine learning, to optimize procedural outcomes in interventional cardiology.

International Journal of Cardiology Congenital Heart DiseaseVol. 22
Vita-Salute San Raffaele University (IT), IRCCS Policlinico San Donato (IT)
Openalex Percentile: Top 57%
Surgical Simulation and Training
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