A Novel Method for Accurate Quantification of Split Glomerular Filtration Rate Using Combination of Tc-99m-DTPA Renal Dynamic Imaging and Its Plasma Clearance

Autor: Cheng'en Wang, Xinchen Tao, Zihao Hu, Chang Wenrui, Tao Zhang, Shan Huang, Xiaoxi Pang, Hao Cheng, Fei Li
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Disease Markers
Disease Markers, Vol 2021 (2021)
ISSN: 1875-8630
0278-0240
Popis: Purpose. To precisely quantify split glomerular filtration rate by Tc-99m-DTPA renal dynamic imaging and plasma clearance in order to increase its consistency among doctors. Methods. Tc-99m-DTPA renal dynamic imaging was performed according to the conventional radionuclide renal dynamic imaging by five double-blinded doctors independently and automatically calculated split GFR, namely, gGFR. Moreover, the conventional radionuclide renal dynamic imaging was assessed to only outline the kidney, blank background, and automatically calculated split GFR, gGFR ′ . The total GFR value of patients, tGFR, was obtained by the double-plasma method. According to the formula, Precise GFR pGFR = gGF R ′ / gGF R ′ + gGF R ′ × tGFR . The precise GFR value of the divided kidney, pGFR, was calculated. The Kendall’s W test was used to compare the consistency of gGFR and pGFR drawn by five physicians. Results. According to Kendall’s W consistency test, Kendall’s coefficient of concordance was 0.834, p = 0.0001 using conventional method. The same five doctors used blank background again and the same standard Gates method to draw the kidneys, which automatically calculated gGFR ′ . Using input formula, the pGFR was calculated and Kendall’s W consistency test ( Kendal l ’ s coefficient of concordance = 0.956 , p = 0.0001 ). Conclusion. The combination of Tc-99m-DTPA renal dynamic imaging combined with the double-plasma method could achieve accurate split GFR, and because of the omission of influence factors, the consistency of pGFR obtained by different doctors using this method was significantly higher than that of conventional Tc-99m-DTPA renal dynamic imaging.
Databáze: OpenAIRE