AI Article Synopsis

  • Sarcopenia, a condition characterized by muscle mass and strength loss, is prevalent among patients with hepatocellular carcinoma (HCC) and is linked to their prognosis.
  • Early detection of sarcopenia could improve overall assessments of HCC, and there's increasing interest in its treatment implications.
  • While MRI and CT are the standard methods for measuring muscle mass, muscle ultrasound is emerging as a cost-effective alternative with reliable diagnostic accuracy for identifying sarcopenia, especially in chronic liver disease patients.

Article Abstract

The condition of sarcopenia, defined as a progressive loss of musculoskeletal mass and muscular strength, is very common in patients with hepatocellular carcinoma (HCC) and presents a remarkable association with its prognosis. Thus, the early identification of sarcopenic patients represents one of the potential new approaches in the global assessment of HCC, and there is increasing interest regarding the potential therapeutic implications of this condition. The gold standard for the quantification of muscle mass is magnetic resonance imaging (MRI) or computed tomography (CT), but these techniques are not always feasible because of the high-cost equipment needed. A new possibility in sarcopenia identification could be muscle ultrasound examination. The measurement of specific parameters such as the muscle thickness, muscular fascicles length or pennation angle has shown a good correlation with CT or MRI values and a good diagnostic accuracy in the detection of sarcopenia. Recently, these results were also confirmed specifically in patients with chronic liver disease. This review summarizes the role of imaging for the diagnosis of sarcopenia in patients with HCC, focusing on the advantages and disadvantages of the diagnostic techniques currently validated for this aim and the future perspectives for the identification of this condition.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10887735PMC
http://dx.doi.org/10.3390/diagnostics14040371DOI Listing

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