# Sarcopenia in type 2 diabetes mellitus: an imaging review

**Authors:** Lei He, Guanghua Luo, Hongtao Jiang, Li Zhang, Yusheng Li, Wenbin Gu, Qiqun Zeng, Jingjun Zhu, Jincai Liu, Hao Lei, Heng Zhao

PMC · DOI: 10.3389/fmed.2026.1637499 · Frontiers in Medicine · 2026-01-21

## TL;DR

This paper reviews how sarcopenia, a muscle-wasting condition, affects people with type 2 diabetes and how imaging can help detect and study it.

## Contribution

The paper provides a comprehensive review of sarcopenia in T2DM, focusing on imaging techniques for assessment and diagnosis.

## Key findings

- Sarcopenia is a significant complication in patients with type 2 diabetes mellitus.
- Imaging methods are essential for assessing muscle mass and detecting sarcopenia early.
- The paper outlines the clinical and pathological aspects of sarcopenia in T2DM.

## Abstract

Sarcopenia is characterized by an age-related decline in muscle mass, strength, or endurance. It is increasingly prevalent in patients with type 2 diabetes mellitus (T2DM) and is now regarded as a key complication of the disease. Additionally, it has a significant impact on patients’ prognosis. Imaging methods are crucial tools for assessing muscle mass and microchanges. Moreover, they can facilitate the early diagnosis of sarcopenia. Thus, this article reviews the pathological basis and clinical manifestations of sarcopenia in T2DM, the advantages and disadvantages of imaging assessment methods, their specific applications, imaging manifestations, and research progress.

## Linked entities

- **Diseases:** type 2 diabetes mellitus (MONDO:0005148)

## Full-text entities

- **Diseases:** Sarcopenia (MESH:D055948), T2DM (MESH:D003924)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12868266/full.md

## Figures

1 figure with captions in the complete paper: https://tomesphere.com/paper/PMC12868266/full.md

## References

190 references — full list in the complete paper: https://tomesphere.com/paper/PMC12868266/full.md

---
Source: https://tomesphere.com/paper/PMC12868266