Comparison of Aorto-iliac Endovascular Interventions With and Without the EndoNaut Workstation
The aim of this retrospective, multicenter study is to demonstrate that the use of EndoNaut for aortoiliac endovascular procedures has a clinical impact for the patient (reduction in irradiation and the volume of contrast product) as well as for the nursing staff (reduction irradiation) compared to procedures performed without EndoNaut.
Comparison of Lower Limb Endovascular Interventions With and Without the EndoNaut Workstation
To demonstrate that the use of EndoNaut for endovascular procedures on the femoropopliteal axis has a clinical impact for the patient (decrease in irradiation and the volume of contrast product) as well as for nursing staff (reduction in irradiation) compared to procedures performed without EndoNaut.
Combining Multiple Complex Modelling Components to Create a Decision Support System for Heart Valve Disease
Valvular Heart Disease currently affects 2.5% of the population, but is overwhelmingly a disease of the elderly and consequently on the rise. It is dominated by two conditions, Aortic Stenosis and Mitral Regurgitation, both of which are associated with significant morbidity and mortality, yet which pose a truly demanding challenge for treatment optimisation. By combining multiple complex modelling components, a comprehensive, clinically-compliant decision-support system will be developed to meet this challenge, by quantifying individualised disease severity and patient impairment, predicting disease progression, ranking the effectiveness of alternative candidate procedures, and optimising the patient-specific intervention plan.
In addition the DSS will improve knowledge of disease mechanisms by applying a holistic assessment of cardiovascular function that includes hemodynamic data at all cardiovascular compartments (ventricle, valve, vessels) and multiscale components that couple organ with cell function.
DSS may have major impact on patients with borderline indications for treatment (valve replacement/repair), complex hemodynamic conditions such as combined aortic-mitral valve disease and valve geometries that are subject to valve repair.
The target user of this Decision Support System is the healthcare professional, in this case the surgeon or cardiologist, who will make the decision on the nature and timing of the intervention. The major advance of this system over current practice is that it integrates and interprets all heterogeneous data available about the patient, integrates population data where needed, and provides a consistent, repeatable, quantitative and auditable record of the information that contributes to the decision process.
100 Clinical Results associated with Therenva SAS
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100 Translational Medicine associated with Therenva SAS