Why the study?
The study aimed to propose a model-based method adapted to patients with severe AS to reproduce LV pressure and volume from patient-specific data.
Answers are grounded in this paper and cite their sources.
A novel computational model-based approach can accurately reproduce patient-specific left ventricular pressure and volume curves in severe aortic stenosis.
The objective of this study is to propose a model-based method, adapted to patients with severe aortic stenosis (AS), in order to reproduce left ventricle (LV) pressure and volume from patient specific data. A formal sensitivity analysis is proposed, focused on left ventricle volume and pressure. The most influent parameters of this analysis are then selected to be identified in a parameter identification strategy and provide a patient specific pressure curve. This was implemented on 3 AS patients and a close match was observed between experimental and simulated pressure and volume curves. The global root mean square error (RMSE) for pressure and volume curves are respectively 21.8 <tex>(± 1.8)</tex> mmHg and 14.8 <tex>(± 9.4)ml</tex>,. The model-based approach proposed shows promising results to generate accurate LV pressure and volume in AS case.
No takes yet. Share an insight, caveat, or question.
Taconné et al. (2021) studied Severe aortic stenosis (n=3). Model-based parameter identification strategy vs. Experimental patient specific data was evaluated on Global root mean square error (RMSE) for pressure and volume curves.
Synapse has enriched 8 closely related papers on similar clinical questions. Consider them for comparative context: