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Importance of neural network complexity for the automatic segmentation of individual thigh muscles in MRI images from patients with neuromuscular diseases.
MAGMA
January 2025
Aix Marseille Univ, CNRS, CRMBM, Marseille, France.
Objective: Segmentation of individual thigh muscles in MRI images is essential for monitoring neuromuscular diseases and quantifying relevant biomarkers such as fat fraction (FF). Deep learning approaches such as U-Net have demonstrated effectiveness in this field. However, the impact of reducing neural network complexity remains unexplored in the FF quantification in individual muscles.
View Article and Find Full Text PDFEvaluation of sleep disorders in children and adolescents affected by Klinefelter syndrome.
Eur J Pediatr
January 2025
Department of Maternal Infantile and Urological Sciences, Sapienza University of Rome, Rome, Italy.
Unlabelled: Klinefelter syndrome (KS) is the most common sex chromosomal aneuploidy in males (47,XXY karyotype in 80-90% of cases), primarily characterized by hypergonadotropic hypogonadism and infertility. It encompasses a broad phenotypic spectrum, leading to variability in neurocognitive and psychosocial outcomes among affected individuals. Despite the recognized correlation between KS and various neuropsychiatric conditions, studies investigating potential sleep disorders, particularly in pediatric subjects, are lacking.
View Article and Find Full Text PDFCold exposure and thermoneutrality similarly reduce supraclavicular brown adipose tissue fat fraction in fasted young lean adults.
FASEB J
January 2025
Department of Radiology, C.J. Gorter MRI Center, Leiden University Medical Center, Leiden, The Netherlands.
Brown adipose tissue (BAT) is a metabolically highly active tissue that dissipates energy stored within its intracellular triglyceride droplets as heat. Others have previously utilized MRI to show that the fat fraction of human supraclavicular BAT (scBAT) decreases upon cold exposure, compared with baseline (i.e.
View Article and Find Full Text PDFLongitudinal analysis of anthropometric measures over 5 years in patients with Friedreich ataxia in the EFACTS natural history study.
Eur J Neurol
January 2025
Department of Neurology, RWTH Aachen University, Aachen, Germany.
Background: Friedreich ataxia is a rare neurodegenerative disorder caused by frataxin deficiency. Both underweight and overweight occur in mitochondrial disorders, each with adverse health outcomes. We investigated the longitudinal evolution of anthropometric abnormalities in Friedreich ataxia and the hypothesis that both weight loss and weight gain are associated with faster disease progression.
View Article and Find Full Text PDFValidation of Aerobic Capacity (VO2max) and Pulse Oximetry in Wearable Technology.
Sensors (Basel)
January 2025
School of Integrated Health Sciences, Department of Kinesiology and Nutrition Sciences, University of Nevada, Las Vegas, NV 89154, USA.
Introduction: As wearable technology becomes increasingly popular and sophisticated, independent validation is needed to determine its accuracy and potential applications. Therefore, the purpose of this study was to evaluate the accuracy (validity) of VO2max estimates and blood oxygen saturation measured via pulse oximetry using the Garmin fēnix 6 with a general population participant pool.
Methods: We recruited apparently healthy individuals (both active and sedentary) for VO2max (n = 19) and pulse oximetry testing (n = 22).
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