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Epicardial fat density (EFD) is implicated in cardiovascular diseases. This study aimed to assess the regional variability of epicardial fat density (EFD) using coronary computed tomography (CCT) and evaluate the feasibility of ROI-based measurements as an alternative to full segmentation. A retrospective analysis was conducted on 171 patients undergoing coronary CCT. EFD was measured on non-contrast scans acquired globally and in three predefined regions of interest (ROIs) for coronary calcium scoring: the aortic bulb, right posterolateral wall, and cardiac apex. Global EFD was quantified using semi-automated segmentation software (3D Slicer 5.6.2), while regional EFD values were manually determined. Statistical analyses were performed to compare global and regional EFD measurements. Global EFD averaged -83.92 ± 5.19 HU, while regional EFD showed significant variability. The aortic bulb had lower EFD values (-97.54 ± 12.80 HU) compared to the apex (-93.42 ± 18.94 HU) and right posterolateral wall (-94.99 ± 12.16 HU). Paired -tests confirmed statistically significant differences between global and regional EFD values ( < 0.000). This study highlights significant regional variability in EFD across specific cardiac regions, suggesting that ROI-based assessments may not reliably reflect global EFD characteristics.
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http://dx.doi.org/10.3390/jcdd12030081 | DOI Listing |
Invest Ophthalmol Vis Sci
August 2025
Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Purpose: Children who spend less time outdoors or who live in urban areas are more likely to develop myopia (short-sightedness). This may stem from the altered spatial distribution of contrast in manmade environments, which contain large featureless surfaces that may potentially produce regional environmental form deprivation (eFD).
Methods: Images (n = 590) from natural, mixed-urban, urban, and indoor environments, were subdivided into 36 × 36 zones (1.
Classification of Indo-Pacific whiting (Sillago sihama) from three coastal regions of Vietnam revealed distinct population structures using otolith morphology. All three analytical approaches - traditional morphometrics using basic dimensional parameters and shape indices (BDP-ShI), elliptic Fourier descriptors (EFD) and deep learning models - consistently identified the presence of three distinct populations along the Vietnamese coast. EFDs and traditional shape indices achieved moderate performance, with BDPs-ShIs and EFD reaching average accuracies of 65.
View Article and Find Full Text PDFPediatr Allergy Immunol
July 2025
Pediatrics, University of Chicago, Chicago, Illinois, USA.
Background: Pediatric asthma exacerbations remain a critical public health concern, particularly in historically underserved urban settings.
Objective: This study investigates sociome factors-the social context of disease-associated with asthma exacerbations among children living in Chicago's South Side, leveraging clinical and publicly available generalizable census tract-level datasets from agencies including ChiVes, the City of Chicago Data Portal, EPA, Census Bureau, HUD, NOAA, and more. The aim is to uncover novel hypotheses for potential new interventions.
BMC Genomics
June 2025
PHIM Plant Health Institute, Univ Montpellier, IRD, CIRAD, INRAE, Institut Agro, Montpellier, France.
Background: Symbiotic nitrogen fixation (SNF) is a complex process regulated by numerous genes extensively studied in legumes that undergo intracellular infection, such as Lotus japonicus, Medicago truncatula, and Glycine max. However, the molecular and genetic mechanisms of SNF in legumes that rely on the intercellular infection pathway, such as peanut (Arachis hypogaea L.), remain poorly understood.
View Article and Find Full Text PDFDry Afromontane forests in Ethiopia are crucial for carbon sequestration; however, the absence of robust biomass and carbon stock estimation models hinders accurate assessment. This study addresses this limitation by developing and validating site-specific, multispecies biomass estimation models for Wof-Washa plantation and natural forests. Biometric data were collected from 127 harvested trees representing seven dominant species from both plantation and natural forests.
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