多参数超声技术构建肌少症超声诊断模型的研究

Study on construction of an ultrasound diagnostic model for sarcopenia based on multi-parameter ultrasound technology

中文关键词: 肌肉质量    超声    肌少症    腓肠肌    股直肌    股四头肌

英文关键词: muscle massultrasoundsarcopeniagastrocnemius musclerectus femoris musclequadriceps femoris muscle

中文摘要:

      目的 应用多参数超声技术评估肌肉质量，探讨肌肉超声参数与肌少症的相关性，建立肌少症超声诊断模型。方法 2024年5月至2025年5月，选取106例老年肌少症患者为研究组，106名老年健康者为对照组。比较2组的一般资料与肌肉超声参数，采用Logistic回归法分析肌少症的影响因素，受试者操作特征(ROC)曲线分析肌肉超声参数诊断肌少症的效能。结果 研究组体重与腓肠肌、股直肌、股四头肌的肌肉厚度、横截面积、收缩状态剪切波速度(SWV)、收缩状态弹性模量值均低于对照组(P <0.05);饮酒史、营养不良构成比与各肌肉的回声强度值、舒张状态SWV、舒张状态弹性模量值均高于对照组(P <0.05)。体重与腓肠肌、股直肌、股四头肌的肌肉厚度、收缩状态SWV是肌少症发生的保护因素(P <0.05);饮酒史、营养不良及各肌肉的回声强度值、舒张状态SWV是肌少症发生的危险因素(P <0.05)。ROC曲线显示，上述肌肉超声参数联合诊断肌少症的灵敏度优于各自单独诊断，联合诊断的曲线下面积高于各自单独诊断(P <0.01)。结论 腓肠肌、股直肌、股四头肌超声参数与肌少症可能具有相关性，基于超声参数开发的肌少症诊断模型可为临床早期识别与诊断提供可靠的参考依据。

英文摘要:

      Objective To evaluate muscle quality based on multi-parametric ultrasound technology,explore the correlation between muscle ultrasound parameters and sarcopenia,and establish an ultrasound diagnostic model for sarcopenia.Methods From May 2024 to May 2025,106 older adults with sarcopenia were selected as study group,and 106 healthy older adults as control group.The general information and muscle ultrasound parameters were compared between the two groups.Logistic regression analysis was performed to identify influencing factors for sarcopenia.The diagnostic efficacy of muscle ultrasound parameters for sarcopenia was assessed using receiver operating characteristic(ROC)curve.Results Compared with the control group,the study group exhibited significantly lower body weight and reduced muscle thickness,cross-sectional area,shear wave velocity(SWV)during contraction,and elastic modulus during contraction in the gastrocnemius,rectus femoris,and quadriceps muscles(P＜0.05).Conversely,the study group had higher proportions of subjects with a history of alcohol consumption and malnutrition,along with increased muscle echo intensity,SWV at rest,and elastic modulus at rest(P＜0.05).Logistic regression analysis revealed that body weight,muscle thickness of the gastrocnemius,rectus femoris,and quadriceps,and SWV during contraction were protective factors for sarcopenia(P＜0.05),whereas a history of alcohol consumption and malnutrition,muscle echo intensity,and SWV at rest were risk factors(P＜0.05).ROC curve analysis demonstrated that the combination of the aforementioned muscles ultrasound parameters yielded higher sensitivity and a larger area under the curve for diagnosing sarcopenia than any single parameter alone(P＜0.01).Conclusion The ultrasound parameters of gastrocnemius muscle,rectus femoris muscle and quadriceps femoris muscle may be correlated with sarcopenia,and the diagnostic model based on these ultrasound parameters may provide a reliable reference for early clinical identification and diagnosis of sarcopenia.