Age, Height, and Weight-Adjusted Renal Dimension Models Using CT Imaging

Abstract

The correct measurement of renal size in children is also necessary to identify early onset of congenital and acquired renal anomalies as kidney size not only indicates the structural integrity, but also the morphological development of the kidney. The conventional renal size reference criteria use ultrasound and age charts, which do not consider the variation among individuals in terms of body developmental patterns (Riccabona, 2021). The purpose of this study was to build up age-, height-, and weight-adjusted renal dimension models with the help of computed tomography (CT) imaging in a pediatric sample. The analytical design was cross-sectional and the renal length, width, was measured using up-to-date CT availed data on renal volume, length, and width of the pediatric patients. The anthropometric parameters such as age, height and weight were studied to find out that they are correlated to the renal dimensions. The multivariate regression analysis was used to come up with predictive models of adjusting the size of the kidneys. The findings indicated a good positive relationship among renal dimensions and anthropometric variables with height being the most important predictor, followed by the body weight and age (Lee and Siegel, 2018). The models suggested better accuracy than the conventional textbook reference standards which were age based. The results indicate that anthropometric renal modeling with CT could be applied in pediatric nephrology to improve accuracy of diagnosis especially when the results of the ultrasound are indifferent or non-conclusive (Friedman & Jones, 2022). Such models can help a clinician to identify issues in the kidneys early and enhance the personal approach to the patient.