与人工智能辅助CT相比,DEXA衍生的大腿肌肉量化的有效性:四肢间不对称性提供了比绝对值更好的协议
1Department of Orthopedic Surgery, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon 51353, Republic of Korea.
Journal of clinical medicine
|January 28, 2026
概括
双能X射线吸收计 (DEXA) 与肌肉量化CT扫描的一致性有限. 肢体间不对称性改善了瘦肉质量评估,但DEXA无法准确测量肌肉脂肪透.
科学领域:
- 肌肉骨成像技术 肌肉骨成像技术
- 身体组成分析分析.
- 生物医学工程 生物医学工程
背景情况:
- 准确的肌肉量化对于评估健康和疾病至关重要.
- 双能X射线吸收计 (DEXA) 是一种常见的工具,但其对高级成像学的有效性需要评估.
- 肌内脂肪组织 (IMAT) 是肌肉质量的指标.
研究的目的:
- 为了验证DEXA衍生的肌肉量化与AI辅助CT测量.
- 评估四肢间的不对称性是否改善了DEXA-CT协议.
- 调查下肢旋转对DEXA测量的影响.
主要方法:
- 52名患者在14天内接受了CT和DEXA扫描.
- 人工智能辅助CT提供纯肌肉体积和IMAT.
- DEXA提供了肌肉质量和脂肪百分比;分析包括对绝对值和四肢间差异的相关性和布兰德-阿尔特曼协议测试.
主要成果:
- DEXA瘦身量与CT肌肉体积相关 (r=0.776);四肢间不对称性改善了这种相关性 (r=0.857).
- 德克萨脂肪质量不对称性与CT IMAT不对称性没有相关性 (r=-0.004).
- 在中性四肢位置 (r=0.900) 达成一致性最高;四肢间的不对称性产生了比绝对值更窄的达成一致性极限.
结论:
- 绝对DEXA测量与CT的一致性有限,并受肢体位置的影响.
- 肢体间不对称性提高了DEXA对肌肉数量 (瘦质量) 的准确性,但不是肌肉质量 (脂肪质量/IMAT).
- 德克萨适用于区域肌肉量评估,但不适用于IMAT评估.
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