Kidney volume measurement and predictive modeling in children aged 0–18 years using a computer-assisted surgery system

Abstract

Abstract This study aimed to measure the normal renal volume in children and adolescents aged 0–18 years from the eastern coastal region of China using the computer-assisted surgery (CAS) system. Accurate measurement of kidney volume is important as a marker for follow-up in patients with congenital anomalies. We established reference ranges for renal volume based on age, height, and weight, and developed predictive models using commonly available clinical data. A total of 803 children and adolescents participated, with clinical data including age, gender, height, weight, body mass index (BMI) and body surface area (BSA) collected. The Hisense CAS system was employed to perform 3D reconstructions of CT images, allowing precise measurement of left and right kidney volumes. Statistical analysis revealed a significant difference in size between the left and right kidneys (P < 0.01), with the left kidney being larger in 79.08% of cases. Age, height, weight, BMI, and BSA were all significantly correlated with kidney volume, with BSA showing the strongest correlation. We developed predictive formulas based on height and weight with good accuracy (R² = 0.896 for left kidney and R² = 0.891 for right kidney). These findings provide reference values for renal volume and offer useful tools for early detection and monitoring of renal abnormalities in the pediatric population.

Keywords

• Kidney volume
• Children
• Computer-assisted surgery
• 3D reconstruction