Evidence map›Paper›PMID 35983543›Full record

ArticlePlastic and reconstructive surgery. Global open2022

Data-driven Normative Reference of Pediatric Cranial Bone Development.

Jiawei Liu, Connor Elkhill, Scott LeBeau, Brooke French, Natasha Lepore, Marius George Linguraru, Antonio R Porras

Open access · goldAbstract read
In one paragraph

Article in Plastic and reconstructive surgery. Global open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

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  8. Personalized phenotype encoding and prediction of pathological head development from cross-sectional images.... International Symposium on Medical Information Processing and Analysis. International SIPAIM Workshop · 2024
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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 4 institutions in 1 country.

Jiawei LiuDepartment of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colo.
Connor ElkhillDepartment of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colo.
Scott LeBeauDepartment of Pediatric Plastic and Reconstructive Surgery, Children's Hospital Colorado, Aurora, Colo.
Brooke FrenchDepartment of Pediatric Plastic and Reconstructive Surgery, Children's Hospital Colorado, Aurora, Colo.
Natasha LeporeCIBORG Laboratory, Department of Radiology, Keck School of Medicine, University of Southern California, Children's Hospital of Los Angeles, Los Angeles, Calif.
Marius George LinguraruSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, D.C.
Antonio R PorrasDepartment of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colo.
Colorado School of Public Health · USChildren's Hospital Colorado · USChildren's Hospital of Los Angeles · USChildren's National · US

Funding

Computational Bioscience Program Training GrantT15LM009451 · NLM · UNIVERSITY OF COLORADO DENVER · PI Katherina Kechris-Mays, Arjun Krishnan · 2007 to 2026
$11.7M
Early joint cranial and brain development from fetal and pediatric imagingR01DE030286 · NIDCR · CHILDREN'S HOSPITAL OF LOS ANGELES · PI LEPORE, NATASHA, LINGURARU, MARIUS GEORGE · 2021 to 2025
$3.5M
Quantitative characterization and predictive modeling of cranial bone development in patients with craniosynostosisR00DE027993 · NIDCR · UNIVERSITY OF COLORADO DENVER · PI PORRAS PEREZ, ANTONIO REYES · 2020 to 2022
$738k
NIDCR NIH HHS R00 DE027993NIDCR NIH HHS R01 DE030286NLM NIH HHS T15 LM009451
6 · The paper itself

Abstract

Available normative references of cranial bone development and suture fusion are incomplete or based on simplified assumptions due to the lack of large datasets. We present a fully data-driven normative model that represents the age- and sex-specific variability of bone shape, thickness, and density between birth and 10 years of age at every location of the calvaria. Methods: The model was built using a cross-sectional and multi-institutional pediatric computed tomography image dataset with 2068 subjects without cranial pathology (age 0-10 years). We combined principal component analysis and temporal regression to build a statistical model of cranial bone development at every location of the calvaria. We studied the influences of sex on cranial bone growth, and our bone density model allowed quantifying for the first time suture fusion as a continuous temporal process. We evaluated the predictive accuracy of our model using an independent longitudinal image dataset of 51 subjects. Results: Our model achieved temporal predictive errors of 2.98 ± 0.69 mm, 0.27 ± 0.29 mm, and 76.72 ± 91.50 HU in cranial bone shape, thickness, and mineral density changes, respectively. Significant sex differences were found in intracranial volume and bone surface areas ( Conclusions: We presented the first pediatric age- and sex-specific statistical reference for local cranial bone shape, thickness, and mineral density changes. We showed its predictive accuracy using an independent longitudinal dataset, we studied developmental differences associated with sex, and we quantified suture fusion as a continuous process.

Identifiers

PMID35983543
PMCPMC9377678
OpenAlexW4292002698

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.