@article {albatat2022regional,
	title = {Regional Left Ventricular Fiber Stress Analysis for Cardiac Resynchronization Therapy Response},
	journal = {Annals of Biomedical Engineering},
	volume = {51},
	year = {2022},
	month = {07/2022},
	pages = {343{\textendash}351},
	publisher = {Springer},
	abstract = {Cardiac resynchronization therapy (CRT) is an effective treatment for a subgroup of heart failure (HF) patients, but more than 30\% of those selected do not improve after CRT implantation. Imperfect pre-procedural criteria for patient selection and optimization are the main causes of the high non-response rate. In this study, we evaluated a novel measure for assessing CRT response. We used a computational modeling framework to calculate the regional stress of the left ventricular wall of seven CRT patients and seven healthy controls. The standard deviation of regional wall stress at the time of mitral valve closure (SD_MVC) was used to quantify dyssynchrony and com- pared between patients and controls and among the patients. The results show that SD_MVC is significantly lower in controls than patients and correlates with long-term response in patients, based on end-diastolic volume reduction. In contrast to our initial hypothesis, patients with lower SD_MVC respond better to therapy. The patient with the highest SD_MVC was the only non-responder in the patient cohort. The distribution of fiber stress at the beginning of the isovolumetric phase seems to correlate with the degree of response and the use of this measurement could potentially improve selection criteria for CRT implantation. Further studies with a larger cohort of patients are needed to validate these results.},
	keywords = {Cardiac resynchronization therapy, Computational cardiology, electrophysiology, Heart failure},
	doi = {10.1007/s10439-022-03030-y},
	url = {https://doi.org/10.1007/s10439-022-03030-y},
	author = {Albatat, Mohammad and Finsberg, Henrik and Arevalo, Hermenegild and Sundnes, Joakim and Bergsland, Jacob and Balasingham, Ilangko and Hans Henrik {Odland}}
}
@article {ALBATAT2021104159,
	title = {Optimal pacing sites in cardiac resynchronization by left ventricular activation front analysis},
	journal = {Computers in Biology and Medicine},
	volume = {128},
	year = {2021},
	pages = {104159},
	publisher = {Elsevier},
	abstract = {Cardiac resynchronization therapy (CRT) can substantially improve dyssynchronous heart failure and reduce mortality. However, about one-third of patients who are implanted, derive no measurable benefit from CRT. Non-response may partly be due to suboptimal activation of the left ventricle (LV) caused by electrophysiological heterogeneities. The goal of this study is to investigate the performance of a newly developed method used to analyze electrical wavefront propagation in a heart model including myocardial scar and compare this to clinical benchmark studies. We used computational models to measure the maximum activation front (MAF) in the LV during different pacing scenarios. Different heart geometries and scars were created based on cardiac MR images of three patients. The right ventricle (RV) was paced from the apex and the LV was paced from 12 different sites, single site, dual-site and triple site. Our results showed that for single LV site pacing, the pacing site with the largest MAF corresponded with the latest activated regions of the LV demonstrated during RV pacing, which also agrees with previous markers used for predicting optimal single-site pacing location. We then demonstrated the utility of MAF in predicting optimal electrode placements in more complex scenarios including scar and multi-site LV pacing. This study demonstrates the potential value of computational simulations in understanding and planning CRT.},
	keywords = {Cardiac resynchronization therapy, Cardiology, Computational modeling, electrophysiology, Heart failure},
	issn = {0010-4825},
	doi = {https://doi.org/10.1016/j.compbiomed.2020.104159},
	url = {http://www.sciencedirect.com/science/article/pii/S001048252030490X},
	author = {Albatat, Mohammad and Arevalo, Hermenegild and Bergsland, Jacob and Str{\o}m, Vilde and Balasingham, Ilangko and Hans Henrik {Odland}}
}
@inproceedings {7391416,
	title = {Localization and not extent of fibrofatty infiltratio is the primary factor determining conduction disturbance in a computational model of arrhythmogenic cardiomyopathy},
	journal = {2015 E-Health and Bioengineering Conference (EHB)},
	year = {2015},
	month = {Nov},
	pages = {1-6},
	publisher = {ACM IEEE},
	keywords = {action potential, activation sites, arrhythmogenic cardiomyopathy, bioelectric potentials, biological tissues, biomedical MRI, biomembranes, cardiovascular system, cellular biophysics, computational model, Computational modeling, conduction disturbance, conduction properties, disease progression, diseases, electrophysiology, fibrofatty diseased tissue location, fibrofatty infiltration localization, fibrofatty patterns, fibrofatty region, Geometry, global conduction velocity, Heart, human electrophysiology, intercellular junctions, Junctions, Magnetic resonance imaging, Morphology, nonviable tissue, organ-level model, passive membrane, patient heart geometry, physiological models},
	doi = {10.1109/EHB.2015.7391416},
	author = {Kallhovd, Siri and S. U. {Gjerald} and Wall, Samuel and Saberniak, J. and Haugaa, K. and Maleckar, Molly}
}
