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In patients with arm or leg lymphedema, more fat has been found in the epifascial compartment of the edematous limb compared to the healthy limb. However, not much is known about subfascial fat accumulation in these patients. This study aims to investigate the intramuscular and intermuscular fat and muscle/water volume in lymphedema patients. The excess of intramuscular and intermuscular fat volume was also compared to the excess epifascial fat volume, the excess limb volume, and the duration of lymphedema. Data from 13 patients (seven arm and six leg lymphedemas) were acquired using a 1.5 T magnetic resonance imaging (MRI) scanner before liposuction and at five time points (4 days, 4 weeks, 3 months, 6 months, and 1 year) after liposuction. From water-fat imaging, fat and muscle/water volumes within the intramuscular and intermuscular compartments were calculated. The relative excess volume was defined as (volume of edematous limb-volume of healthy limb)/volume of healthy limb. Elevated relative excess volumes of intramuscular and intermuscular fat were found at all time points. A decrease in the relative excess volume of muscle/water over time was found. This decrease was not correlated to the relative excess of epifascial fat volume, the relative excess of limb volume, or the duration of lymphedema. An excess fat volume was found in the intramuscular and intermuscular compartments in lymphedema patients. The results suggest that the subfascial compartment needs to be studied separately as no correlation between intramuscular/intermuscular fat accumulation and other measured parameters was found.
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http://dx.doi.org/10.1089/lrb.2018.0027 | DOI Listing |
Bioengineering (Basel)
July 2025
Radiology Department, Huadong Hospital, Fudan University, Shanghai 200040, China.
To employ artificial intelligence (AI) to automatically measure bone mineral density (BMD) and intramuscular fat in computed tomography (CT) images of patients with fractures and explore the association between these parameters and fracture healing. This retrospective study included patients who underwent baseline CT scans for rib fracture diagnosis and follow-up CT scans for fracture healing assessment at our hospital between 2012 and 2023. The volumetric BMD of the entire first lumbar vertebra (L1) and the paraspinal intramuscular fat area (PIFA) at the midsection of L1 in the baseline CT were extracted using AI.
View Article and Find Full Text PDFJ Sex Med
September 2025
Centro de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, 46022 Valencia, Spain.
Background: Findings on vulvodynia-associated alterations in the pelvic floor muscles' (PFMs') myoelectrical activity are contradictory, and no study has yet assessed whether they influence treatment outcomes.
Aim: To characterize vulvodynia-associated alterations in PFM activity and assess its potential to predict the response to botulinum toxin type A (BoNT/A) treatment.
Methods: This prospective, non-masked, and non-randomized study recruited 35 vulvodynia patients who underwent BoNT/A injections and 35 healthy women.
Skeletal Radiol
June 2025
Department of Radiology, Mayo Clinic, 5777 E Mayo Boulevard, Phoenix, AZ, USA.
Objective: To review the spectrum of clinical and imaging features of nodular fasciitis, emphasizing those most characteristic of this diagnosis.
Material And Methods: A retrospective review of our institutional pathology and imaging databases from 2006 to 2024 identified 89 patients with confirmed nodular fasciitis pathology and imaging evaluation. For the purpose of analysis, lesions were subdivided into 2 basic groups: superficial and deep.
Cureus
May 2025
Department of General Surgery, Noida International Institute of Medical Sciences, Greater Noida, IND.
A lipoma is the most common benign soft tissue tumour. Also known as 'universal tumours', lipomas can occur anywhere where there is adipose tissue. Most of them do not require surgical intervention.
View Article and Find Full Text PDFClin Nutr ESPEN
August 2025
Loyola University Chicago, Parkinson School of Health Science and Public Health, 2160 South First Avenue, Cuneo 439, Maywood, IL 60153, USA. Electronic address:
Rationale And Objectives: Fully automated, artificial intelligence (AI) -based software has recently become available for scalable body composition analysis. Prior to broad application in the clinical arena, validation studies are needed. Our goal was to compare the results of a fully automated, AI-based software with a semi-automatic software in a sample of hospitalized patients.
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