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Virtual Coronary Intervention: A Treatment Planning Tool Based Upon the Angiogram.
Gosling, Rebecca C; Morris, Paul D; Silva Soto, Daniel A; Lawford, Patricia V; Hose, D Rodney; Gunn, Julian P.
Afiliación
  • Gosling RC; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom; Department of Cardiology, Sheffield Teaching Hospitals, National Health Service Foundation Trust, Northern General Hospital, Sheffield, United Kingdom. Electronic address: r.gosling@shef
  • Morris PD; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom; Department of Cardiology, Sheffield Teaching Hospitals, National Health Service Foundation Trust, Northern General Hospital, Sheffield, United Kingdom; Insigneo Institute for In Silico M
  • Silva Soto DA; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom.
  • Lawford PV; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom; Insigneo Institute for In Silico Medicine, Sheffield, United Kingdom.
  • Hose DR; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom; Insigneo Institute for In Silico Medicine, Sheffield, United Kingdom; Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Nor
  • Gunn JP; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom; Department of Cardiology, Sheffield Teaching Hospitals, National Health Service Foundation Trust, Northern General Hospital, Sheffield, United Kingdom; Insigneo Institute for In Silico M
JACC Cardiovasc Imaging ; 12(5): 865-872, 2019 05.
Article en En | MEDLINE | ID: mdl-29550308
OBJECTIVES: This study sought to assess the ability of a novel virtual coronary intervention (VCI) tool based on invasive angiography to predict the patient's physiological response to stenting. BACKGROUND: Fractional flow reserve (FFR)-guided percutaneous coronary intervention (PCI) is associated with improved clinical and economic outcomes compared with angiographic guidance alone. Virtual (v)FFR can be calculated based upon a 3-dimensional (3D) reconstruction of the coronary anatomy from the angiogram, using computational fluid dynamics (CFD) modeling. This technology can be used to perform virtual stenting, with a predicted post-PCI FFR, and the prospect of optimized treatment planning. METHODS: Patients undergoing elective PCI had pressure-wire-based FFR measurements pre- and post-PCI. A 3D reconstruction of the diseased artery was generated from the angiogram and imported into the VIRTUheart workflow, without the need for any invasive physiological measurements. VCI was performed using a radius correction tool replicating the dimensions of the stent deployed during PCI. Virtual FFR (vFFR) was calculated pre- and post-VCI, using CFD analysis. vFFR pre- and post-VCI were compared with measured (m)FFR pre- and post-PCI, respectively. RESULTS: Fifty-four patients and 59 vessels underwent PCI. The mFFR and vFFR pre-PCI were 0.66 ± 0.14 and 0.68 ± 0.13, respectively. Pre-PCI vFFR deviated from mFFR by ±0.05 (mean Δ = -0.02; SD = 0.07). The mean mFFR and vFFR post-PCI/VCI were 0.90 ± 0.05 and 0.92 ± 0.05, respectively. Post-VCI vFFR deviated from post-PCI mFFR by ±0.02 (mean Δ = -0.01; SD = 0.03). Mean CFD processing time was 95 s per case. CONCLUSIONS: The authors have developed a novel VCI tool, based upon the angiogram, that predicts the physiological response to stenting with a high degree of accuracy.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria / Angiografía Coronaria / Vasos Coronarios / Reserva del Flujo Fraccional Miocárdico / Intervención Coronaria Percutánea / Modelación Específica para el Paciente / Angiografía por Tomografía Computarizada / Modelos Cardiovasculares Tipo de estudio: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: JACC Cardiovasc Imaging Asunto de la revista: ANGIOLOGIA / CARDIOLOGIA / DIAGNOSTICO POR IMAGEM Año: 2019 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria / Angiografía Coronaria / Vasos Coronarios / Reserva del Flujo Fraccional Miocárdico / Intervención Coronaria Percutánea / Modelación Específica para el Paciente / Angiografía por Tomografía Computarizada / Modelos Cardiovasculares Tipo de estudio: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: JACC Cardiovasc Imaging Asunto de la revista: ANGIOLOGIA / CARDIOLOGIA / DIAGNOSTICO POR IMAGEM Año: 2019 Tipo del documento: Article Pais de publicación: Estados Unidos