title: Quantification of global diastolic function by kinematic modeling-based analysis of transmitral flow via the parametrized diastolic filling formalism.
abstract: Quantitative cardiac function assessment remains a challenge for physiologists and clinicians. Although historically invasive methods have comprised the only means available, the development of noninvasive imaging modalities (echocardiography, MRI, CT) having high temporal and spatial resolution provide a new window for quantitative diastolic function assessment. Echocardiography is the agreed upon standard for diastolic function assessment, but indexes in current clinical use merely utilize selected features of chamber dimension (M-mode) or blood/tissue motion (Doppler) waveforms without incorporating the physiologic causal determinants of the motion itself. The recognition that all left ventricles (LV) initiate filling by serving as mechanical suction pumps allows global diastolic function to be assessed based on laws of motion that apply to all chambers. What differentiates one heart from another are the parameters of the equation of motion that governs filling. Accordingly, development of the Parametrized Diastolic Filling (PDF) formalism has shown that the entire range of clinically observed early transmitral flow (Doppler E-wave) patterns are extremely well fit by the laws of damped oscillatory motion. This permits analysis of individual E-waves in accordance with a causal mechanism (recoil-initiated suction) that yields three (numerically) unique lumped parameters whose physiologic analogues are chamber stiffness (k), viscoelasticity/relaxation (c), and load (xo). The recording of transmitral flow (Doppler E-waves) is standard practice in clinical cardiology and, therefore, the echocardiographic recording method is only briefly reviewed. Our focus is on determination of the PDF parameters from routinely recorded E-wave data. As the highlighted results indicate, once the PDF parameters have been obtained from a suitable number of load varying E-waves, the investigator is free to use the parameters or construct indexes from the parameters (such as stored energy 1/2kxo(2), maximum A-V pressure gradient kxo, load independent index of diastolic function, etc.) and select the aspect of physiology or pathophysiology to be quantified.
authors.affiliation: Department of Physics, Washington University in St. Louis; Cardiovascular Biophysics Lab, Washington University in St. Louis.
authors.forename: Sina
authors.initials: S
authors.lastname: Mossahebi
authors.affiliation: Department of Physics, Washington University in St. Louis; Cardiovascular Biophysics Lab, Washington University in St. Louis.
authors.forename: Simeng
authors.initials: S
authors.lastname: Zhu
authors.affiliation: Department of Biomedical Engineering, Washington University in St. Louis; Cardiovascular Biophysics Lab, Washington University in St. Louis.
authors.forename: Howard
authors.initials: H
authors.lastname: Chen
authors.affiliation: Division of Biology and Biomedical Sciences, Washington University in St. Louis; Cardiovascular Biophysics Lab, Washington University in St. Louis.
authors.forename: Leonid
authors.initials: L
authors.lastname: Shmuylovich
authors.affiliation: Department of Biomedical Engineering, Washington University in St. Louis; Cardiovascular Biophysics Lab, Washington University in St. Louis.
authors.forename: Erina
authors.initials: E
authors.lastname: Ghosh
authors.affiliation: Department of Medicine, Cardiovascular Division, Washington University in St. Louis; Cardiovascular Biophysics Lab, Washington University in St. Louis; sjk@wuphys.wustl.edu.
authors.forename: Sándor J
authors.initials: SJ
authors.lastname: Kovács
mesh_terms: D003971:Diastole / Q000502:physiology; D004452:Echocardiography / Q000379:methods; D006321:Heart / Q000502:physiology*; D006801:Humans; D008955:Models, Cardiovascular