Evidence map›Paper›PMID 31913294›Full record

ArticleScientific reports2020

Predicting calvarial morphology in sagittal craniosynostosis.

Oyvind Malde, Connor Cross, Chien L Lim, Arsalan Marghoub, Michael L Cunningham, Richard A Hopper, Mehran Moazen

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 31 citations in OpenAlex.

  1. Evaluating mechanical benefit of wedge osteotomies in endoscopic surgery for sagittal synostosis using patient-specific 3D-printed models.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2024
    Article
  2. Craniosynostosis-4 with Heterozygous Mutation in theInternational journal of clinical pediatric dentistry · 2024
    Article
  3. Article
  4. Article
  5. Radiomorphologic profiles of nonsyndromic sagittal craniosynostosis.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2023
    Article
  6. Article
  7. Article
  8. [Simulation method of skull remodellingsurgeryfor infant with craniosynostosis].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2021
    Article
  9. The Intertwined Evolution and Development of Sutures and Cranial Morphology.Frontiers in cell and developmental biology · 2021
    Review
  10. 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 2 institutions in 2 countries.

Oyvind MaldeUCL Mechanical Engineering, University College London, London, WC1E 7JE, UK.
Connor CrossUCL Mechanical Engineering, University College London, London, WC1E 7JE, UK.
Chien L LimUCL Mechanical Engineering, University College London, London, WC1E 7JE, UK.
Arsalan MarghoubUCL Mechanical Engineering, University College London, London, WC1E 7JE, UK.
Michael L CunninghamSeattle Children's Hospital, Craniofacial Center, Seattle, WA, 98105, USA.
Richard A HopperSeattle Children's Hospital, Craniofacial Center, Seattle, WA, 98105, USA.
Mehran MoazenUCL Mechanical Engineering, University College London, London, WC1E 7JE, UK. m.moazen@ucl.ac.uk.
University College London · GBSeattle Children's Hospital · US

Funding

Rosetrees Trust A1899Royal Academy of Engineering 10216/119
6 · The paper itself

Abstract

Early fusion of the sagittal suture is a clinical condition called, sagittal craniosynostosis. Calvarial reconstruction is the most common treatment option for this condition with a range of techniques being developed by different groups. Computer simulations have a huge potential to predict the calvarial growth and optimise the management of this condition. However, these models need to be validated. The aim of this study was to develop a validated patient-specific finite element model of a sagittal craniosynostosis. Here, the finite element method was used to predict the calvarial morphology of a patient based on its preoperative morphology and the planned surgical techniques. A series of sensitivity tests and hypothetical models were carried out and developed to understand the effect of various input parameters on the result. Sensitivity tests highlighted that the models are sensitive to the choice of input parameter. The hypothetical models highlighted the potential of the approach in testing different reconstruction techniques. The patient-specific model highlighted that a comparable pattern of calvarial morphology to the follow up CT data could be obtained. This study forms the foundation for further studies to use the approach described here to optimise the management of sagittal craniosynostosis.

Indexed as

Child, PreschoolComputer SimulationCranial SuturesCraniosynostosesCraniotomyFinite Element AnalysisHumansImage Processing, Computer-AssistedInfantInfant, NewbornLongitudinal StudiesRetrospective StudiesSkullTomography, X-Ray Computed

Identifiers

PMID31913294
PMCPMC6949270
OpenAlexW3000355666

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.