1. Patient-Specific Analysis of Myocardial Strains in Left Bundle Branch Block Based on Computational Models
- Author
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Virginie Le Rolle, Elena Galli, Kimi P Owashi, Alfredo Hernandez, Erwan Donal, Arnaud Hubert, Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), Agence Nationale de la Recherche, ANR, Jonchère, Laurent, Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), and ANR-16-CE19-0008,MAESTRo,Approche à base de modèles pour l'analyse du strain obtenu en échocardiographie 3D(2016)
- Subjects
medicine.medical_specialty ,Cardiac resynchronization therapy (CRT) ,Root mean square errors ,medicine.medical_treatment ,Cardiac resynchronization therapy ,030204 cardiovascular system & hematology ,Ventricular contraction ,Strain ,Contractility ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,medicine ,Parameter estimation ,030304 developmental biology ,[SDV.IB] Life Sciences [q-bio]/Bioengineering ,0303 health sciences ,Computational model ,Left bundle branch block ,business.industry ,Cardiac muscle ,Patient treatment ,Mean square error ,Patient specific ,Myocardial strain ,medicine.disease ,Electro-mechanical ,Patient specific model ,medicine.anatomical_structure ,Ventricle ,Cardiology ,Electrical activation ,Muscle ,[SDV.IB]Life Sciences [q-bio]/Bioengineering ,business - Abstract
International audience; This paper proposes a patient-specific model-based estimation of myocardial strain signals and the evaluation of echo-based parameters, adapted to patients with left bundle branch block (LBBB). The left ventricle (LV) was divided into 16 segments in order to evaluate concurrently different regions at the ventricular contraction process. For each LV segment, some parameters, associated with the active and passive components of the cardiac muscle, the electro-mechanical driving function and the electrical depolarization time, were identified using evolutionnary algorithms. The proposed approach was evaluated on data obtained from 3 LBBB patients. From patient-specific simulations, we also analysed electrical activation delay and myofiber contractility in LV segments. A close match was observed between experimental and simulated myocardial strain curves for all the subjects. The root mean square error (RMSE) is equal to 2.87(± 1.00), 2.49(± 0.55) and 3.63(± 0.81) for the anterior ischemic, the lateral ischemic and the non-ischemic LBBB patients, respectively. The proposed patient-specific model-based approach may be a useful tool for understanding LV mechanical dyssynchrony and identifying patients suitable for cardiac resynchronization therapy (CRT). © 2020 Creative Commons; the authors hold their copyright.
- Published
- 2020
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