98%
921
2 minutes
20
The evaluation of skeletal muscle (SM) mass has significant clinical and research relevance in the diagnosis and management of conditions, such as malnutrition, sarcopenia, sarcopenic obesity, and cancer cachexia. Dual-energy X-ray absorptiometry (DXA) is now the most widely used method for estimating SM mass; however, it does not directly measure SM but instead provides proxies that require careful interpretation. A major issue in the field is the inconsistent and sometimes incorrect use of DXA-derived terminology in both scientific literature and clinical practice, leading to potential misdiagnoses and inaccurate research conclusions. This review highlights the importance of using proper terminology and the errors that arise when DXA-based estimates of SM mass are misrepresented. Focusing on the appendicular regions, where most SM is located, we first describe the principles of DXA measurement, including its ability to quantify appendicular lean soft tissue (ALST) and appendicular lean mass (ALM) and their relationship to appendicular skeletal muscle (ASM). We then examined inconsistencies in manufacturer-reported DXA outputs and common reporting errors in the literature, particularly the interchangeable use of ALST and ASM. Additionally, we present data demonstrating how these inconsistencies impact the clinical assessment of sarcopenia and influence population-level prevalence estimates. ALM refers to all nonfat components of the arms and legs, whereas ALST also removes bone mass. Both measures include non-SM components and are, therefore, larger than SM. To address the use of these terms, we propose standardizing DXA terminology and reporting practices in both research and clinical settings. We also highlight the importance of consistent terminology in other clinical and field-based methods of body composition assessment, including bioelectrical impedance analysis and 3-dimensional optical imaging. These recommendations will enhance the clarity of SM-related measures (e.g., ALST, ALM), improve diagnostic accuracy, and facilitate meaningful comparisons across studies.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.ajcnut.2025.06.023 | DOI Listing |
Temperature (Austin)
March 2025
Department of Anaesthesiology and Intensive Care, Akershus University Hospital, Lørenskog, Norway.
Swimming in cold water is intrinsically unsafe. One of the threats is a fall in deep-body temperature, which adversely affects all body systems and increases the risk of death. Wetsuits mitigate, but do not negate this threat.
View Article and Find Full Text PDFMed Phys
September 2025
Department of Radiology, Stony Brook University, New York, USA.
Background: In contrast-enhanced digital mammography (CEDM) and contrast-enhanced digital breast tomosynthesis (CEDBT), low-energy (LE) and high-energy (HE) images are acquired after injection of iodine contrast agent. Weighted subtraction is then applied to generate dual-energy (DE) images, where normal breast tissues are suppressed, leaving iodinated objects enhanced. Currently, clinical systems employ a dual-shot (DS) method, where LE and HE images are acquired with two separate exposures.
View Article and Find Full Text PDFUltrason Imaging
September 2025
Pontificia Universidad Católica del Perú, San Miguel, Lima, Peru.
The acoustic nonlinearity parameter (B/A) could enhance the diagnostic capabilities of conventional ultrasonography and quantitative ultrasound in tissues and diseases. Nonlinear acoustic propagation theory of plane waves has been used to develop a dual-energy model of the depletion of the fundamental related to the Gol'dberg number and subsequently to the B/A of media (a reference phantom is used as a baseline). The depletion method, however, needs a priori information of the attenuation coefficient (AC) of the assessed media.
View Article and Find Full Text PDFMed Phys
September 2025
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing, China.
Background: Dual-energy computed tomography (DECT) enhances material differentiation by leveraging energy-dependent attenuation properties particularly for carbon ion therapy. Accurate estimation of tissue elemental composition via DECT can improve quantification of physical and biological doses.
Objective: This study proposed a novel machine-learning-based DECT (ML-DECT) method to predict the physical density and mass ratios of H, C, N, O, P, and Ca.
PLoS One
September 2025
Internal Medicine Department, Tlemcen University Hospital, Tlemcen, Algeria.
Background: Visceral adipose tissue (VAT) is associated with several cardiometabolic risk factors, particularly metabolic syndrome and insulin resistance. Reference values for VAT vary across populations, genders, and ages. Data on visceral fat in the Algerian population are lacking.
View Article and Find Full Text PDF