Evidence map›Paper›PMID 35644828›Full record

ArticlePediatric radiology2022

Pancreas volumes and predictive factors in healthy children.

Lisa Qiu, Jonathan R Dillman, Qin Sun, Lin Fei, Maisam Abu-El-Haija, Andrew T Trout

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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.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Pediatric pancreas segmentation from MRI scans with deep learning.Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] · 2025
    Article
  4. Article
  5. Article
  6. 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.] · 2024
    Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Lisa QiuDepartment of Radiology, MLC 5031, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., Cincinnati, OH, 45229, USA.ORCID 0000-0002-9237-8865
Jonathan R DillmanDepartment of Radiology, MLC 5031, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., Cincinnati, OH, 45229, USA.ORCID 0000-0003-0124-0164
Qin SunDivision of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Lin FeiDivision of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Maisam Abu-El-HaijaDepartment of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH, USA.
Andrew T TroutDepartment of Radiology, MLC 5031, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., Cincinnati, OH, 45229, USA. andrew.trout@cchmc.org.ORCID 0000-0003-1431-4054

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Body HeightPancreasAbdomenBody Surface AreaChildFemaleHumansRetrospective StudiesAtrophyChildrenComputed tomographyPancreasPancreatitisSegmentationVolume

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.