Subcutaneous fat necrosis of the newborn (SCFNN) is a rare form of panniculitis classically affecting healthy full-term infants. There are a number of predisposing factors including perinatal asphyxia. The condition generally has a benign course with spontaneous resolution, but monitoring for metabolic complications, in particular the potentially life-threatening complication of hypercalcaemia, is critical. The authors report 2 cases of preterm infants with perinatal asphyxia with atypical presentations of SCFNN: the first with bony involvement resembling Langerhans cell histiocytosis and with follicular pseudocarcinomatous hyperplasia on histology; and the second presenting with a huge haematoma requiring surgical debridement. Both cases were initially erroneously diagnosed as pyogenic infections.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6827445 | PMC |
| http://dx.doi.org/10.1159/000497176 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Effects of cold storage on double integrating sphere optical property measurements of porcine dermis and subcutaneous fat from 400 to 1100 nm.
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.
Depot-specific adiposity changes in ovariectomized mice on high-fat diet.
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 PDFNonpharmacological Childhood Obesity Management in Denmark Reduces Steatotic Liver Disease and Obesity.
Child 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 PDFChemical shift encoding based double bonds quantification in triglycerides using deep image prior.
Quant 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 PDFReproducibility of automatic adipose tissue segmentation using proton density fat fraction images between 1.5 and 3.0 T magnetic resonance.
Quant 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.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!