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High Resolution 3D Imaging of the Human Pancreas Neuro-insular Network
Published on: January 29, 2018
Pancreas volumes and predictive factors in healthy children
Lisa Qiu1, Jonathan R Dillman1,2, Qin Sun3
1Department of Radiology, MLC 5031, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., Cincinnati, OH, 45229, USA.
Insights
Pancreas volume in children increases with age and body size. Body surface area and female gender are key predictors of pancreas volume in pediatric populations.
Area of Science:
- Pediatric Radiology
- Medical Imaging
- Human Anatomy
Background:
- Pancreas volume is a potential indicator of pancreatic health and function in children.
- Establishing normative values is crucial for pediatric health assessments.
Purpose of the Study:
- To establish normative pancreas volumes in healthy children.
- To identify factors influencing pancreas volume in pediatric subjects.
Main Methods:
- Retrospective analysis of 140 healthy children (aged 0-18 years).
- Contrast-enhanced CT scans analyzed using 3D Slicer for pancreas volume segmentation.
- Statistical analysis including Bland-Altman, Mann-Whitney U, Pearson correlation, and multivariable regression.
Main Results:
- Pancreas volume ranged from 2-99 mL.
- Age, BMI, BSA, height, and weight showed positive correlations with pancreas volume.
- Body surface area (BSA) and female gender were significant independent predictors of pancreas volume.
Conclusions:
- Normative pancreas volumes for healthy children were established.
- BSA is a strong predictor of pancreas volume in children.
- Findings provide a basis for quantitative assessment of pancreatic health in pediatric imaging.
Background:
Pancreas volume might be a quantitative metric of pancreas health and function in children.
Objective:
To establish normative pancreas volumes and determine factors associated with pancreas volume.
Materials And Methods:
We 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).
Results:
Pancreas 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/m2, P<0.0001) and female gender (-2.8 mL, P=0.062) were significant independent predictors of pancreas volume. The mean difference between initial and refined segmentation was 0.80 mL (95% limits of agreement: -7.9 mL to 9.5 mL).
Conclusion:
We 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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