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Published on: August 12, 2021
Kidney volume measurement and predictive modeling in children aged 0-18 years using a computer-assisted surgery
Yao Liu1,2, Ning Xu1,2, Xia Yang2,3
1Department of Pediatric Surgery, The Affiliated Hospital of Qingdao University, No. 16, Jiangsu Road, Shinan District, Qingdao, Shandong, China.
Insights
This study measured normal kidney volume in Chinese children using computer-assisted surgery (CAS). Findings provide crucial reference ranges for pediatric renal health monitoring and detecting abnormalities.
Area of Science:
- Pediatric Nephrology
- Medical Imaging
- Biometry
Background:
- Accurate renal volume measurement is vital for monitoring pediatric patients with congenital anomalies.
- Establishing normative data is essential for identifying renal abnormalities.
- Previous studies may lack comprehensive data for diverse pediatric populations.
Purpose of the Study:
- To measure normal renal volume in children and adolescents (0-18 years) from China's eastern coastal region.
- To establish reference ranges for renal volume based on age, height, and weight.
- To develop predictive models for renal volume using clinical data.
Main Methods:
- Utilized the Hisense computer-assisted surgery (CAS) system for 3D reconstruction of CT images.
- Collected anthropometric data (age, gender, height, weight, BMI, BSA) from 803 participants.
- Precisely measured left and right kidney volumes using 3D imaging.
Main Results:
- The left kidney was significantly larger than the right kidney in most cases (79.08%).
- Age, height, weight, BMI, and body surface area (BSA) showed significant correlations with kidney volume.
- BSA exhibited the strongest correlation with kidney volume.
Conclusions:
- Developed accurate predictive formulas for renal volume based on height and weight (R² > 0.89).
- Provided essential reference values for pediatric renal volume.
- Offers valuable tools for early detection and monitoring of renal abnormalities in children.
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.
