ArticlePediatric radiology2022
Pancreas volumes and predictive factors in healthy children.
Article in Pediatric radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Characterization of Healthy Pancreas Morphology Throughout Childhood.Clinical anatomy (New York, N.Y.) · 2026Article
- Hepatobiliary and pancreatic findings on magnetic resonance enterography examinations in children with newly diagnosed inflammatory bowel disease.Pediatric radiology · 2026Article
- Pediatric pancreas segmentation from MRI scans with deep learning.Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] · 2025Article
- Impact of bladder size and shape on the accuracy of formula method for bladder volume evaluation.International urology and nephrology · 2025Article
- RFX6 haploinsufficiency predisposes to diabetes through impaired beta cell function.Diabetologia · 2024Article
- Pancreas volumes in pediatric patients following index acute pancreatitis and acute recurrent pancreatitis.Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPancreas volume might be a quantitative metric of pancreas health and function in children.
objectiveTo establish normative pancreas volumes and determine factors associated with pancreas volume. MATERIALS AND
methodsWe conducted a retrospective study of 140 healthy children (balanced from 0 to 18 years, stratified by age and gender) who underwent contrast-enhanced CT of the abdomen. Pancreas volume was manually segmented by a single reviewer using 3D Slicer and corrected by a pediatric radiologist. We used Bland-Altman difference analysis to quantify differences in initial and refined segmented pancreas volume, and the Mann-Whitney U test to compare continuous variables. We used Pearson correlation for univariate associations. To determine predictors, we used multivariable regression. Finally, we generated quantile regression equations to determine pancreas volume based on age or body surface area (BSA).
resultsPancreas volume for the study sample ranged from 2 mL to 99 mL. Age (r=0.90, P<0.0001), body mass index (BMI) (r=0.66, P<0.0001), BSA (r=0.94, P<0.0001), height (r=0.91, P<0.0001) and weight (r=0.90, P<0.0001) were all positively correlated with pancreas volume on univariate analysis. On multivariable analysis, BSA (+36 mL/m
conclusionWe report pancreas volumes for healthy children. We found that age, BMI, BSA, height and weight were each significantly, positively correlated with pancreas volume in univariate analyses, while BSA and female gender were significant independent predictive factors on multivariable analysis.
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Registered trials
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