Value of renal cortical thickness as a predictor of renal function impairment in chronic renal disease patients

Author:

Yamashita Samia Rafael1,Atzingen Augusto Castelli von1,Iared Wagner1,Bezerra Alexandre Sérgio de Araújo2,Ammirati Adriano Luiz1,Canziani Maria Eugênia Fernandes3,D'Ippolito Giuseppe1

Affiliation:

1. Universidade Federal de São Paulo, Brazil

2. Universidade de Brasília, Brazil

3. PhD, Associate Professor, Division of Nephrology, Escola Paulista de Medicina da Universidade Federal de São Paulo (EPM-Unifesp), São Paulo, SP, Brazil; Universidade Federal de São Paulo, Brazil

Abstract

Objective: To determine the presence of linear relationship between renal cortical thickness, bipolar length, and parenchymal thickness in chronic kidney disease patients presenting with different estimated glomerular filtration rates (GFRs) and to assess the reproducibility of these measurements using ultrasonography. Materials and Methods: Ultrasonography was performed in 54 chronic renal failure patients. The scans were performed by two independent and blinded radiologists. The estimated GFR was calculated using the Cockcroft-Gault equation. Interobserver agreement was calculated and a linear correlation coefficient (r) was determined in order to establish the relationship between the different renal measurements and estimated GFR. Results: The correlation between GFR and measurements of renal cortical thickness, bipolar length, and parenchymal thickness was, respectively, moderate (r = 0.478; p < 0.001), poor (r = 0.380; p = 0.004), and poor (r = 0.277; p = 0.116). The interobserver agreement was considered excellent (0.754) for measurements of cortical thickness and bipolar length (0.833), and satisfactory for parenchymal thickness (0.523). Conclusion: The interobserver reproducibility for renal measurements obtained was good. A moderate correlation was observed between estimated GFR and cortical thickness, but bipolar length and parenchymal thickness were poorly correlated.

Publisher

FapUNIFESP (SciELO)

Subject

Radiology, Nuclear Medicine and imaging

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