“…Two multicentre observational studies have been conducted for the clinical validation of the TAVIguide software [25, 26]. The first sought to assess the accuracy of the software to predict frame morphology, dimensions and aortic leaflet displacement after valve implantation [25].…”
Section: Methods and Resultsmentioning
confidence: 99%
“…The second study focused on the accuracy of the model for the prediction of PVL after TAVI [26]. Similar to the first validation study, pre-operative MSCT was used to generate 3D models of the aortic root of 60 patients treated with a MCS valve.…”
Section: Methods and Resultsmentioning
confidence: 99%
“…Sensitivity, specificity, positive predictive value, negative predictive value and accuracy were 0.80, 0.80, 0.57, 0.92 and 0.80, respectively (reference angiography) and were 0.72, 0.78, 0.35, 0.94 and 0.73 (reference echocardiography).
…”
Transcatheter aortic valve implantation is increasingly used to treat patients with severe aortic stenosis who are at increased risk for surgical aortic valve replacement and is projected to be the preferred treatment modality. As patient selection and operator experience have improved, it is hypothesised that device-host interactions will play a more dominant role in outcome. This, in combination with the increasing number of valve types and sizes, confronts the physician with the dilemma to choose the valve that best fits the individual patient. This necessitates the availability of pre-procedural computer simulation that is based upon the integration of the patient-specific anatomy, the physical and (bio)mechanical properties of the valve and recipient anatomy derived from in-vitro experiments. The objective of this paper is to present such a model and illustrate its potential clinical utility via a few case studies.
“…Two multicentre observational studies have been conducted for the clinical validation of the TAVIguide software [25, 26]. The first sought to assess the accuracy of the software to predict frame morphology, dimensions and aortic leaflet displacement after valve implantation [25].…”
Section: Methods and Resultsmentioning
confidence: 99%
“…The second study focused on the accuracy of the model for the prediction of PVL after TAVI [26]. Similar to the first validation study, pre-operative MSCT was used to generate 3D models of the aortic root of 60 patients treated with a MCS valve.…”
Section: Methods and Resultsmentioning
confidence: 99%
“…Sensitivity, specificity, positive predictive value, negative predictive value and accuracy were 0.80, 0.80, 0.57, 0.92 and 0.80, respectively (reference angiography) and were 0.72, 0.78, 0.35, 0.94 and 0.73 (reference echocardiography).
…”
Transcatheter aortic valve implantation is increasingly used to treat patients with severe aortic stenosis who are at increased risk for surgical aortic valve replacement and is projected to be the preferred treatment modality. As patient selection and operator experience have improved, it is hypothesised that device-host interactions will play a more dominant role in outcome. This, in combination with the increasing number of valve types and sizes, confronts the physician with the dilemma to choose the valve that best fits the individual patient. This necessitates the availability of pre-procedural computer simulation that is based upon the integration of the patient-specific anatomy, the physical and (bio)mechanical properties of the valve and recipient anatomy derived from in-vitro experiments. The objective of this paper is to present such a model and illustrate its potential clinical utility via a few case studies.
“…Should the long-term durability of percutaneous valves approach or surpass that of conventional devices, open-heart surgery might become obsolete. The ultimate goal will be the total valve replacement not only for aortic valves but mitral and pulmonary valves as well, as it becomes possible to accommodate the specific requirements of every patient [2][3]. We are enthusiastic participants in the worldwide efforts to achieve the long-term durability of the percutaneous devices.…”
Bovine pericardium represents the material of choice to serve as leaflets but this material is fragile and mishandling might lead to dramatic consequences. The complete innocuousness of handling at implantation has not been reached as crimping and balloon inflation cause various degrees of injury. These can impair the physical characteristics and aggravate the thrombogenicity. The design of the device must promote the long-term durability of the pericardium. The role and selection of polyester fabrics as buffer between the metallic frame and the pericardium is likely to prevent major abrasion at implantation and in situ.
“…The second study focused on the accuracy of the model for the prediction of paravalvular leakage (PVL) after TAVI 21. Similar to the first validation study, preoperative MSCT was used to generate 3D models of the aortic root of 60 patients treated with a MCS valve.…”
Patient-specific computer simulation consists of the assessment of the interaction of the device with the host based on the integration of the detailed geometric and biomechanical properties of the device and host. Hence, it allows the prediction of valve performance (efficacy) and complications (safety) and may consequently help the physician to select the valve/device that best fits the individual patient, thereby improving outcome. There is currently little awareness and information in clinical medicine on patient-specific computer simulation. In this paper, we describe the technical background and a number of illustrations to illustrate how patient-specific computer simulation may be used for catheter-based treatment planning of acquired heart disease.
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