The preliminary study of kidney MSCT perfusion in diabetic nephropathy patients
10.3969/j.issn.1002-1671.2014.06.017
- VernacularTitle:糖尿病肾病的肾脏 MSCT 灌注初步探讨
- Author:
Kai LI
;
Liling LONG
;
Chunbin LIU
- Publication Type:Journal Article
- Keywords:
computed tomography;
perfushion imaging;
diabetic;
renal function
- From:
Journal of Practical Radiology
2014;(6):957-960
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate effective MSCT perfusion index and evaluate its significance in the renal function of diabetic nephropathy patients.Methods The 64-slice spiral CT perfusion scanning was performed on experimental group with 25 cases dia-betic nephropathy patients and control group with 25 cases healthy volunteers.The index including the dual-renal blood flow (BF), blood volume (BV),mean transit time (MTT),and permeability of surface (PS)were measured.At the same time,the levels of microalbumin and urinary protein (mg/24 h)were quantitated,and the blood urea and serum creatinine were measured on diabetic nephropathy patients one day before and the second day after renal CT perfusion scanning.Results All indexes of renal MSCT per-fusion,which are BF,BV,MTT and PS,were associated with 24 h quantitative urinary protein and fasting blood-glucose.Only BF and MTT were related to microalbumin and in a good correlation with indexes of diabetic nephropathy (microalbumin,24 h quantita-tive urinary protein,and fasting blood-glucose).Within them,the BF value was negatively correlated to the indexes,and the MTT was positively correlated.The area below the ROC curve of BF and MTT was more than 0.8,it indicated the good effect for the in-dexes in diagnosis of diabetic nephropathy.The usage of non-ionic contrast agent in the renal perfusion scanning process has no sig-nificant impact on the measured index values.Conclusion MSCT renal perfusion index can be used to evaluate the renal function of diabetic patients.BF,BV and MTT could be used in prediction,diagnosis and screening of DN patients,among them BF and MTT indexes were the optimal.
