Evaluation of the diagnostic value of ultrasound combined with artificial intelligence technology for sarcopenia
Objective To explore the diagnostic value of ultrasound combined with artificial intelligence technology in the diag-nosis of sarcopenia.Methods A retrospective analysis was conducted on 30 patients with sarcopenia admitted to our hospital from October 2020 to October 2022,who were divided into the sarcopenia group.In addition,30 non sarcopenia volunteers who came to our hospital for physical examination during the same period were selected as the non sarcopenia group.Compare the clinical data of two groups of patients,and evaluate all patients using ultrasound combined with artificial intelligence technology.Compare the thickness of the quadriceps femoris muscle between the two groups of patients,and use CT detection to calculate the skeletal muscle index(SMI)as the gold standard.Use Spearman correlation analysis to analyze the correlation between muscle thickness and SMI.Finally,establish a ROC curve and compare it with the gold standard to analyze the diagnostic efficacy of ultrasound combined with artificial intelligence technology for sarcopenia.Results There was no significant difference between the two groups in gender,age,BMI,hy-pertension,diabetes,heart failure,smoking,drinking,fasting blood glucose,TC,HDL,LDL,prealbumin,serum creatinine,and CK-MB expression levels(P>0.05).The skeletal muscle thickness and SMI of the quadriceps femoris in the sarcopenia group were signifi-cantly lower than those in the non sarcopenia group(P<0.05).The Spearman correlation analysis results showed that the thickness of quadriceps femoris skeletal muscle was positively correlated with SMI level(r =0.579,P<0.018).The optimal threshold for diag-nosing sarcopenia using ultrasound combined with artificial intelligence technology is 11.23mm.The diagnostic sensitivity and speci-ficity of ultrasound combined with artificial intelligence technology for sarcopenia were 88.26%and 95.63%,and there was no difference compared to the CT gold standard diagnosis(P>0.05).Conclusion Ultrasound combined with artificial intelligence technology has high diagnostic sensitivity and specificity for sarcopenia,and has the potential to become a simple and effective meth-od for diagnosing sarcopenia,providing reliable basis for clinical intervention for patients.
ultrasoundartificial intelligence technologymusculosisCTskeletal muscle index
万方数据
维普
