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US-derived Pediatric Kidney Length and Volume Percentiles by Age: A Big Data Approach
Bernarda Viteri1,2,3, Tatiana Morales-Tisnés1,3, Joey Logan4
1Division of Nephrology, Department of Pediatrics, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA 19104.
Radiology. Artificial Intelligence
|November 19, 2025
Summary
This study used natural language processing (NLP) to create new kidney size percentiles for children. These updated pediatric kidney norms improve accuracy for growth assessment in pediatrics.
Area of Science:
- Radiology and Imaging
- Pediatric Nephrology
- Medical Informatics
Background:
- Accurate pediatric kidney size norms are crucial for diagnosing growth abnormalities.
- Previous normative values may not reflect current pediatric populations.
- Natural Language Processing (NLP) offers a novel approach to analyze large datasets of medical reports.
Purpose of the Study:
- To establish new, age-specific normative values and percentiles for kidney length and volume in children.
- To utilize a Natural Language Processing (NLP) model for efficient analysis of pediatric ultrasound reports.
- To refine pediatric kidney growth assessment by incorporating updated data.
Main Methods:
- A cross-sectional study analyzed 24,664 pediatric ultrasound reports (birth to 18 years) using an NLP model.
- Anthropometric data from 12,595 children were used to assess the impact of sex and body measurements on kidney size.
- Age-related percentiles were calculated using the Lambda-Mu-Sigma (LMS) method, with detailed analysis for infants.
Main Results:
- New Lambda-Mu-Sigma (LMS) percentiles for pediatric kidney size were successfully established.
- Kidney growth was most rapid in the first year of life, with significant increases in length and volume.
- Body surface area was identified as a stronger predictor of kidney volume than age in children.
Conclusions:
- The study provides updated, data-driven normative values for pediatric kidney dimensions.
- The use of NLP enabled the analysis of a large pediatric cohort, enhancing the reliability of the normative data.
- These new percentiles are expected to improve the accuracy of kidney size assessment in pediatric care.
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