title: Computational assessment of hemodynamics-based diagnostic tools using a database of virtual subjects: Application to three case studies.
abstract: Many physiological indexes and algorithms based on pulse wave analysis have been suggested in order to better assess cardiovascular function. Because these tools are often computed from in-vivo hemodynamic measurements, their validation is time-consuming, challenging, and biased by measurement errors. Recently, a new methodology has been suggested to assess theoretically these computed tools: a database of virtual subjects generated using numerical 1D-0D modeling of arterial hemodynamics. The generated set of simulations encloses a wide selection of healthy cases that could be encountered in a clinical study. We applied this new methodology to three different case studies that demonstrate the potential of our new tool, and illustrated each of them with a clinically relevant example: (i) we assessed the accuracy of indexes estimating pulse wave velocity; (ii) we validated and refined an algorithm that computes central blood pressure; and (iii) we investigated theoretical mechanisms behind the augmentation index. Our database of virtual subjects is a new tool to assist the clinician: it provides insight into the physical mechanisms underlying the correlations observed in clinical practice.
authors.affiliation: Division of Imaging Sciences and Biomedical Engineering, King׳s College London, St Thomas׳ Hospital, London, UK. Electronic address: marie.willemet@gmail.com.
authors.forename: Marie
authors.initials: M
authors.lastname: Willemet
authors.affiliation: Division of Imaging Sciences and Biomedical Engineering, King׳s College London, St Thomas׳ Hospital, London, UK; Department of Clinical Pharmacology,King's College London British Heart Foundation Centre, St Thomas׳ Hospital, London, UK.
authors.forename: Samuel
authors.initials: S
authors.lastname: Vennin
authors.affiliation: Division of Imaging Sciences and Biomedical Engineering, King׳s College London, St Thomas׳ Hospital, London, UK.
authors.forename: Jordi
authors.initials: J
authors.lastname: Alastruey
mesh_terms: D000465:Algorithms; D001158:Arteries / Q000502:physiology; D001794:Blood Pressure; D001795:Blood Pressure Determination; D002318:Cardiovascular Diseases / Q000175:diagnosis*; D003198:Computer Simulation; D006801:Humans; D063177:Pulse Wave Analysis
keywords: 1D modelling; Aortic flow; Arterial hemodynamics; Augmentation index; Central pressure; Pulse wave velocity