Myocardial microstructures are responsible for key aspects of cardiac mechanical function. Natural myocardial deformation across the cardiac cycle induces measurable structural alteration, which varies across disease states. Diffusion tensor magnetic resonance imaging (DT-MRI) has become the tool of choice for myocardial structural analysis. Yet, obtaining the comprehensive structural information of the whole organ, in 3D and time, for subject-specific examination is fundamentally limited by scan time. Therefore, subject-specific finite-element (FE) analysis of a group of rat hearts was implemented for extrapolating a set of initial DT-MRI to the rest of the cardiac cycle. The effect of material symmetry (isotropy, transverse isotropy, and orthotropy), structural input, and warping approach was observed by comparing simulated predictions against in vivo MRI displacement measurements and DT-MRI of an isolated heart preparation at relaxed, inflated, and contracture states. Overall, the results indicate that, while ventricular volume and circumferential strain are largely independent of the simulation strategy, structural alteration predictions are generally improved with the sophistication of the material model, which also enhances torsion and radial strain predictions. Moreover, whereas subject-specific transversely isotropic models produced the most accurate descriptions of fiber structural alterations, the orthotropic models best captured changes in sheet structure. These findings underscore the need for subject-specific input data, including structure, to extrapolate DT-MRI measurements across the cardiac cycle.
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http://dx.doi.org/10.1115/1.4031419 | DOI Listing |
J Clin Med
January 2025
School of Community Health and Policy, Morgan State University, Baltimore, MD 21251, USA.
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View Article and Find Full Text PDFJ Clin Med
January 2025
College of Pharmacy, King Saud Bin Abdulaziz University for Health Sciences, Riyadh 11461, Saudi Arabia.
Owing to the growing use of immune checkpoint inhibitors (ICIs) in the treatment of cancer, a wide spectrum of toxicity has arisen among cancer patients. Yet, limited ICI toxicity-related research is currently conducted in our region. This is a retrospective observational study conducted on adult cancer patients who received at least one cycle of ICI single therapy.
View Article and Find Full Text PDFBiomedicines
January 2025
Institute of Legal Medicine, Department of Medical and Surgical Sciences, "Magna Graecia" University, 88100 Catanzaro, Italy.
Background/objectives: Differential diagnosis of sudden cardiac death (SCD) remains challenging, particularly in cases lacking evident structural abnormalities. Cardiac markers have been proposed as useful tools for this differentiation in forensic contexts. However, key issues include the influence of postmortem interval (PMI) on marker stability and the limitations of traditional approaches that focus on pericardial fluid, which requires invasive sampling compared to peripheral blood.
View Article and Find Full Text PDFBiomedicines
December 2024
Cardiovascular Pathophysiology Group, Institute of Biomedicine of Seville-IBiS, University of Seville/Hospital Universitario Virgen de Rocio/CSIC, 41013 Seville, Spain.
Unlabelled: Echocardiographic myocardial strain is crucial for early detection of anthracycline-induced cardiotoxicity, particularly in patients at moderate or high risk.
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Diagnostics (Basel)
January 2025
Department of Laboratory Diagnostics, Children's Hospital Zagreb, 10000 Zagreb, Croatia.
Currently, there are no validated guidelines or recommendations for how to interpret cardiac biomarkers in the pediatric population. The most commonly used cardiac biomarkers are cardiac troponins and natriuretic peptides, but the clinical value of common cardiac biomarkers in pediatric laboratory medicine is restricted due to age- and sex-specific interpretations, and there are no standardized cut-off values. The results from the studies on reference values, as well as results from clinical studies, are difficult to compare with identical studies due to the heterogeneity of subject characteristics (gestational and chronological age, sex, pubertal status, menstrual cycle, exercise), assay characteristics (type of assay, generation of assay, analytical platform used), and experimental protocol characteristics (prospective or retrospective studies, reference population selection, patient population selection, inclusion and exclusion criteria, number of subjects).
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