Background And Objectives: Excess fat poses a host of local and systemic problems. Various energy sources, for example, laser, ultrasound, and radiofrequency electric current have been studied as potential non-invasive treatments aimed at local destruction of subcutaneous fat. Cryosurgery at very low temperatures is routinely used for non-specific tissue destruction, however the potential for tissue-specific cold injury has not been investigated. This study describes non-invasive cold-induced selective destruction of subcutaneous fat.
Materials And Methods: Black Yucatan pigs under general anesthesia were exposed within test sites to preset temperatures of 20, -1, -3, -5, and -7 degrees C for 10 minutes. Gross and histological assessments were performed immediately, 1 day, 2, 7, 14 and 28 days post-cold exposure for four pigs, and up to 3.5 months for one pig. Additionally, six pigs were exposed between -5 degrees C and -8 degrees C for 10 minutes, at sites covering approximately 15% body surface area, followed by serum lipid level determinations at various time points up to 3 months.
Results: A lobular panniculitis was induced by cooling, followed for some test sites by grossly obvious loss of several mm of subcutaneous fat occurring gradually during the 3.5 months study period. Loss of adipocytes, the appearance of lipid-laden mononuclear inflammatory cells, and local thickening of fibrous septae were noted. Typically there was no clinical or histological evidence of injury to skin, and no scarring. Serum lipids were not significantly increased.
Conclusions: Prolonged, controlled local skin cooling can induce selective damage and subsequent loss of subcutaneous fat, without damaging the overlying skin. Selective cryolysis warrants further study as a local treatment for removal of adipose tissue.
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http://dx.doi.org/10.1002/lsm.20719 | DOI Listing |
J Biomed Opt
January 2025
Texas A&M University, Department of Biomedical Engineering, College Station, Texas, United States.
Significance: Accurate values of skin optical properties are essential for developing reliable computational models and optimizing optical imaging systems. However, published values show a large variability due to a variety of factors, including differences in sample collection, preparation, experimental methodology, and analysis.
Aim: We aim to explore the influence of storage conditions on the optical properties of the excised skin from 400 to 1100 nm.
J Vet Med Sci
January 2025
Department of Bioresource Sciences, Faculty of Agriculture, Kyushu University.
Ovariectomized (OVX) mice serve as a key model for studying postmenopausal metabolic changes, particularly obesity, as they mimic the hormonal state of postmenopausal women. However, our understanding remains limited regarding how hormonal and dietary factors affect different adipose tissues. Furthermore, precise documentation of experimental procedures and their effects on specific adipose tissue depots is essential for reproducible translational research.
View Article and Find Full Text PDFChild Obes
January 2025
Department of Pediactrics, The Children's Obesity Clinic, Accredited European Centre for Obesity Management, Copenhagen University Hospital Holbæk, Holbæk, Denmark.
Steatotic liver disease (SLD) represents a multisystem disease and is a common complication of childhood obesity. We studied fat content at the abdominal level (liver, subcutaneous, and visceral) and the response to childhood obesity management. In this retrospective longitudinal study, 8-18-year-olds with a body mass index (BMI) z-score above 1.
View Article and Find Full Text PDFQuant Imaging Med Surg
January 2025
Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China.
Fatty acid can potentially serve as biomarker for evaluating metabolic disorder and inflammation condition, and quantifying the double bonds is the key for revealing fatty acid information. This study presents an assessment of a deep learning approach utilizing deep image prior (DIP) for the quantification of double bonds and methylene-interrupted double bonds of triglyceride derived from chemical-shift encoded multi-echo gradient echo images, all achieved without the necessity for network training. The methodology implemented a cost function grounded in signal constraints to continually refine the neural network's parameters on a single slice of images through iterative processes.
View Article and Find Full Text PDFQuant Imaging Med Surg
January 2025
Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Background: Deep learning (DL)-based adipose tissue segmentation methods have shown great performance and efficacy for adipose tissue distribution analysis using magnetic resonance (MR) images, an important indicator of metabolic health and disease. The aim of this study was to evaluate the reproducibility of whole-body adipose tissue distribution analysis using proton density fat fraction (PDFF) images at different MR strengths.
Methods: A total of 24 volunteers were imaged using both 1.
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