Sarcopenia is an age-related condition characterized by the loss of skeletal muscle mass, muscular strength, and muscle function. In older adults, type 2 diabetes mellitus (T2DM) constitutes a significant health burden. Skeletal muscle damage and deterioration have emerged as novel chronic complications in patients with diabetes, often linked to their increased longevity. Diabetic sarcopenia has been associated with increased rates of hospitalization, cardiovascular events, and mortality. Nevertheless, effectively managing metabolic disorders in patients with T2DM through appropriate therapeutic interventions could potentially mitigate the risk of sarcopenia. Utilizing imaging technologies holds substantial clinical significance in the early detection of skeletal muscle mass alterations associated with sarcopenia. Such detection is pivotal for arresting disease progression and preserving patients' quality of life. These imaging modalities offer reproducible and consistent patterns over time, as they all provide varying degrees of quantitative data. This review primarily delves into the application of dual-energy X-ray absorptiometry, computed tomography, magnetic resonance imaging, and ultrasound for both qualitative and quantitative assessments of muscle mass in patients with T2DM. It also juxtaposes the merits and limitations of these four techniques. By understanding the nuances of each method, clinicians can discern how best to apply them in diverse clinical scenarios.
Keyphrases
- mental health
- skeletal muscle
- dual energy
- computed tomography
- high resolution
- cardiovascular events
- magnetic resonance imaging
- insulin resistance
- end stage renal disease
- image quality
- coronary artery disease
- positron emission tomography
- glycemic control
- physical activity
- type diabetes
- cardiovascular disease
- contrast enhanced
- newly diagnosed
- risk factors
- peritoneal dialysis
- chronic kidney disease
- community dwelling
- healthcare
- oxidative stress
- public health
- ejection fraction
- systematic review
- climate change
- prognostic factors
- magnetic resonance
- risk assessment
- electronic health record
- machine learning
- bone mineral density
- weight loss
- patient reported outcomes
- photodynamic therapy
- label free
- cardiovascular risk factors
- sensitive detection