Objective: To study the clinical value of real-time shear wave elastography(SWE)in the non-invasive diagnosis and staging of chronic kidney disease(CKD).Methods:Combined with the French fully digital color Doppler ultrasound system to realize the real-time measurement of the elastic modulus values of the kidneys of 60 CKD patients and 45 healthy patients using SWE technology.The main biochemical indicators include blood creatinine and 24 h urine in the case group.Protein and glomerular filtration rate,etc.,and CKD staging were performed according to the value of blood creatinine and pathological results.Compare the value of Young’s modulus(YM)of the middle and lower kidneys of the left and right kidneys in the case group and the control group,and the difference in the parenchymal YM of the former.Results: Judging from the results,the YM of the case group was significantly higher than that of the control group,and this difference was statistically significant(P<0.05).From the YM comparison results of CKD1 and CKD2,the difference was not statistically significant(P<0.05).Judging from the YM comparison results of CKD3,4,and 5,their differences have obvious statistical significance(P<0.05).At the same time,with the severity of the disease,the YM of the parenchymal area of each kidney will increase,and this difference has obvious statistical significance(P<0.05).According to the pathological results,the case group was divided into mild,moderate,and recombined.From the comparison between the YM of mild patients and the control group,the difference was not statistically significant(P>0.05).From the comparison between the YM of moderate and severe patients and the control group,the former was significantly higher than the latter,and the difference was statistically significant(P<0.05).The Young’s modulus value of the case group is related to the glomerular filtration rate,and their difference is statistically significant(P<0.05).Conclusion: SWE can quantitatively detect the value of elastic modulus of patients with chronic kidney disease in real time,and this technology has important research value in non-invasive diagnosis and disease analysis. |