Evidence map›Paper›PMID 36471169›Full record

ArticlePediatric radiology2023

Computed tomography-based measurements of normative liver and spleen volumes in children.

Vinicius de Padua V Alves, Jonathan R Dillman, Elanchezhian Somasundaram, Zachary P Taylor, Samuel L Brady, Bin Zhang, Andrew T Trout

Abstract read
PubMed Publisher
In one paragraph

Article in Pediatric radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

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

7 authors at 1 institution in 1 country.

Vinicius de Padua V AlvesDepartment of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., Kasota Building MLC 5031, Cincinnati, OH, 45229, USA.ORCID 0000-0001-8772-4770
Jonathan R DillmanDepartment of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., Kasota Building MLC 5031, Cincinnati, OH, 45229, USA.ORCID 0000-0003-0124-0164
Elanchezhian SomasundaramDepartment of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., Kasota Building MLC 5031, Cincinnati, OH, 45229, USA.
Zachary P TaylorDepartment of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., Kasota Building MLC 5031, Cincinnati, OH, 45229, USA.
Samuel L BradyDepartment of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., Kasota Building MLC 5031, Cincinnati, OH, 45229, USA.ORCID 0000-0002-2785-4626
Bin ZhangDivision of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.ORCID 0000-0003-0607-1806
Andrew T TroutDepartment of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., Kasota Building MLC 5031, Cincinnati, OH, 45229, USA. andrew.trout@cchmc.org.ORCID 0000-0003-1431-4054
Cincinnati Children's Hospital Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQuantification of organ size has utility in clinical care and research for diagnostics, prognostics and surgical planning. Volumetry is regarded as the best measure of organ size and change in size over time. Scarce reference values exist for liver and spleen volumes in healthy children.

objectiveTo report liver and spleen volumes for a sample of children defined by manual segmentation of contrast-enhanced CT images with the goal of defining normal values and thresholds that might indicate disease. MATERIALS AND

methodsThis retrospective study included clinically acquired contrast-enhanced CTs of the abdomen/pelvis for children and adolescents imaged between January 2018 and July 2021. Liver and spleen volumes were derived through manual segmentation of CTs reconstructed at 2.5-, 3- or 5-mm slice thickness. A subset of images (5%, n=16) was also segmented using 0.5-mm slice thickness reconstructions to define agreement based on image slice thickness. We used Pearson correlation and multivariable regression to assess associations between organ volumes and patient characteristics. We generated reference intervals for the 5th, 25th, 50th (median), 75th and 95th percentiles for organ volumes as a function of age and weight using quantile regression models. Finally, we calculated Bland-Altman plots and intraclass correlation coefficients (ICC) to quantify agreement.

resultsWe included a total of 320 children (mean age ± standard deviation [SD] = 9±4.6 years; mean weight 38.1±18.8 kg; 160 female). Liver volume ranged from 340-2,002 mL, and spleen volume ranged from 28-480 mL. Patient weight (kg) (β=12.5), age (months) (β=1.7) and sex (female) (β = -35.3) were independent predictors of liver volume, whereas patient weight (kg) (β=2.4) and age (months) (β=0.3) were independent predictors of spleen volume. There was excellent absolute agreement (ICC=0.99) and minimal absolute difference (4 mL) in organ volumes based on reconstructed slice thickness.

conclusionWe report reference liver and spleen volumes for children without liver or spleen disease. These results provide reference ranges and potential thresholds to identify liver and spleen size abnormalities that might reflect disease in children.

Indexed as

LiverSplenic DiseasesAbdomenAdolescentChildFemaleHumansOrgan SizeRetrospective StudiesTomography, X-Ray ComputedChildrenComputed tomographyLiverNormativeSegmentationSpleenVolume

Identifiers

PMID36471169
OpenAlexW4310785614

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.