TY - GEN
T1 - Progressive Microstructural Remodeling in the Infarcted Left Ventricle Analyzed by Diffusion Tensor MRI
AU - Mendiola, Emilio A.
AU - Xiang, Qian
AU - Serpooshan, Vahid
AU - Myers, Kyle J.
AU - Vanderslice, Peter
AU - Avazmohammadi, Reza
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - Myocardial infarction (MI) triggers a series of pathological events leading to progressive tissue remodeling that can impair the mechanical and electrical function of the heart. This study investigates the temporal progression of regional myocardial remodeling following MI. Using diffusion tensor magnetic resonance imaging (DT-MRI), we assessed changes in tissue microstructure across the infarct, border zone (BZ), and remote myocardium. Key DT-derived metrics - apparent diffusion coefficient (ADC), fractional anisotropy (FA), and tissue mode - were analyzed at 1-, 2-, 3-, and 4-week timepoints. Results indicate that while tissue mode in the BZ shows early changes consistent with fibrosis, alterations in FA and ADC occur later, reflecting more gradual remodeling. Notably, the BZ evolves into a distinct microstructural environment over time, transitioning from a state similar to the infarct to a unique microstructural state by the 3-week post-MI timepoint. Our findings suggest that DT-derived microstructural analysis may facilitate the optimal timing for therapeutic interventions, such as ventricular restraint devices, aimed at limiting infarct expansion and improving BZ contractility. This study provides a comprehensive framework for understanding the dynamic regional remodeling observed in the myocardial post-MI and highlights the potential of DT-MRI as a non-invasive tool for clinical assessment and therapeutic guidance. Ultimately, integrating such a framework with machine learning could streamline the clinical application of these diffusion metrics, enabling early detection of maladaptive remodeling and improving prognostic accuracy for heart failure and arrhythmia risk.
AB - Myocardial infarction (MI) triggers a series of pathological events leading to progressive tissue remodeling that can impair the mechanical and electrical function of the heart. This study investigates the temporal progression of regional myocardial remodeling following MI. Using diffusion tensor magnetic resonance imaging (DT-MRI), we assessed changes in tissue microstructure across the infarct, border zone (BZ), and remote myocardium. Key DT-derived metrics - apparent diffusion coefficient (ADC), fractional anisotropy (FA), and tissue mode - were analyzed at 1-, 2-, 3-, and 4-week timepoints. Results indicate that while tissue mode in the BZ shows early changes consistent with fibrosis, alterations in FA and ADC occur later, reflecting more gradual remodeling. Notably, the BZ evolves into a distinct microstructural environment over time, transitioning from a state similar to the infarct to a unique microstructural state by the 3-week post-MI timepoint. Our findings suggest that DT-derived microstructural analysis may facilitate the optimal timing for therapeutic interventions, such as ventricular restraint devices, aimed at limiting infarct expansion and improving BZ contractility. This study provides a comprehensive framework for understanding the dynamic regional remodeling observed in the myocardial post-MI and highlights the potential of DT-MRI as a non-invasive tool for clinical assessment and therapeutic guidance. Ultimately, integrating such a framework with machine learning could streamline the clinical application of these diffusion metrics, enabling early detection of maladaptive remodeling and improving prognostic accuracy for heart failure and arrhythmia risk.
KW - cardiac remodeling
KW - diffusion tensor MRI
KW - myocardial infarction
UR - https://www.scopus.com/pages/publications/105009802582
UR - https://www.scopus.com/inward/citedby.url?scp=105009802582&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-94562-5_3
DO - 10.1007/978-3-031-94562-5_3
M3 - Conference contribution
AN - SCOPUS:105009802582
SN - 9783031945618
T3 - Lecture Notes in Computer Science
SP - 21
EP - 30
BT - Functional Imaging and Modeling of the Heart - 13th International Conference, FIMH 2025, Proceedings
A2 - Chabiniok, Radomír
A2 - Zou, Qing
A2 - Hussain, Tarique
A2 - Nguyen, Hoang H.
A2 - Zaha, Vlad G.
A2 - Gusseva, Maria
PB - Springer Science and Business Media Deutschland GmbH
T2 - 13th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2025
Y2 - 1 June 2025 through 5 June 2025
ER -