Article Dans Une Revue AJP - Heart and Circulatory Physiology Année : 2025

Objective assessment of cardiac function using patient-specific biophysical modeling based on cardiovascular MRI combined with catheterization

Résumé

Synthesizing multi-modality data, such as cardiovascular magnetic resonance imaging (MRI) combined with catheterization, into a single framework is challenging. Different acquisition systems are subjected to different measurement errors. Coupling clinical data with biomechanical models can assist in clinical data processing (e.g., model-based filtering of measurement noise) and quantify myocardial mechanics via metrics not readily available in the data, such as myocardial contractility. In this work we use a biomechanical modeling with the aim 1) to quantitatively compare model- and data-derived signals, and 2) to explore the potential of model-derived myocardial contractility and distal resistance of the circulation (Rd) to robustly quantify cardiovascular physiology. We used 51 ventricular catheterization pressure and cine MRI volume datasets from patients with single-ventricle physiology and left and right ventricles of patients with repaired tetralogy of Fallot. Ventricular time-varying elastance (TVE) metrics and linear regression were used to quantify the relationship between the maximum value of TVE (Emax) and maximum time derivative of ventricular pressure (max(dP/dt)) in data- and model-derived pressure and volume signals at p<0.05. Pearson’s correlations were used to compare model-derived contractility and data-derived Emax and max(dP/dt), and model-derived Rd and data-derived vascular resistance. All data and model-derived linear regressions were significant (p<0.05). Model-derived max(dP/dt) vs. data-derived Emax produced higher R2 than data-derived max(dP/dt) vs. data-derived Emax. Correlations demonstrated significant relationships between most data- and model-derived metrics. This work revealed the clinical value of biomechanical modeling to assist in clinical data processing by providing high-quality pressure and volume signals, and to quantify cardiovascular pathophysiology.

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hal-05303143 , version 1 (08-10-2025)
hal-05303143 , version 2 (08-01-2026)

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Maria Gusseva, Daniel Alexander Castellanos, Surendranath Veeram Reddy, Tarique Hussain, Dominique Chapelle, et al.. Objective assessment of cardiac function using patient-specific biophysical modeling based on cardiovascular MRI combined with catheterization. AJP - Heart and Circulatory Physiology, 2025, 329 (5), pp.H118-H1191. ⟨10.1152/ajpheart.00232.2025⟩. ⟨hal-05303143v2⟩
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