Abstract #0286

Cardiovascular MRI study of the relationship between right ventricular function and biventricular shape in repaired tetralogy of Fallot

Maria Gusseva¹, Tarique Hussain¹, Thomas Pickardt², Philipp Beerbaum^2,3, Samir Sarikouch^2,4, Heiner Latus⁵, Gerald Greil¹, Radomir Chabiniok¹, Dominque Chapelle^6,7, and Pablo Lamata⁸

¹Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX, United States, ²German Competence Network for Congenital Heart Defects, Berlin, Germany, ³Department for Paediatric Cardiology and Paediatric Intensive Care Medicine, Hannover Medical School, Hannover, Germany, ⁴Department of Cardiothoracic, Transplantation and Vascular Surgery, Hannover Medical School, Hannover, Germany, ⁵Department of Paediatric Cardiology and Congenital Heart Defects, German Heart Centre Munich, Munich, Germany, ⁶Inria, Palaiseau, France, ⁷Ecole Polytechnique, CNRS, Palaiseau, France, ⁸School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom

Synopsis

Keywords: Myocardium, Cardiovascular, Statistical shape modeling, biomechanical modeling, myocardial contractility, biventricular interaction, biomarkers

Motivation: In patients with repaired tetralogy of Fallot prolonged exposure to the right ventricular (RV) pressure and/or volume overload can affect the function of both RV and left ventricle (LV).

Goal(s): We aimed to investigate the link between RV function and RV and LV shape variation.

Approach: We combined biomechanical modeling (i.e., provides RV contractility) with statistical shape modeling to quantify function and shape interaction.

Results: Higher values of RV contractility were associated with a compressed LV cavity with associated septal flattening. No meaningful relationship was identified between RV function and RV endocardial shape.

Impact: The link between anatomy and function can be studied with unprecedented detail in rTOF by combining biomechanical and statistical modeling frameworks from MRI. Such an approach facilitates the discovery of new disease mechanisms.

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