ReviewJournal of pediatric neurosciences2022
Applications of 3D Photography in Craniofacial Surgery.
Review in Journal of pediatric neurosciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed.
- Diagnosis of rare diseases based on facial phenotype: a quantitative assessment using 2D and 3D photography in Stickler syndrome.Orphanet journal of rare diseases · 2026Article
- Unlocking 3D baby face photogrammetry: Multi-view BabyMorph reconstruction from uncalibrated photographs.Expert systems with applications · 2026Article
- Medical Photography for Scientific Publishing (MedPhotoPubl) in Rheumatology and Rehabilitation.Journal of Korean medical science · 2026Review
- Evaluating the utility of a novel 3D mobile imaging application in the surgical management of craniosynostosis.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026Article
- Imaging Modalities in Craniosynostosis: A Systematic Review and Proposal of the ARCANA Protocol for Multimodal Radiation-Free Assessment.Diagnostics (Basel, Switzerland) · 2025Review
- SHAPE: A visual computing pipeline for interactive landmarking of 3D photograms and patient reporting for assessing craniosynostosis.Computers & graphics · 2024Article
- To Shrink or Not to Shrink? An Objective Assessment of Free Gracilis Muscle Volume Change in Lower-Extremity Defect Reconstruction.Journal of clinical medicine · 2024Article
- 3D Analysis of the Cranial and Facial Shape in Craniosynostosis Patients: A Systematic Review.The Journal of craniofacial surgery · 2024Article
- Can Craniosynostosis be Diagnosed on Physical Examination? A Retrospective Review.The Journal of craniofacial surgery · 2023Article
- Review
- A Comparison of Semilandmarking Approaches in the Analysis of Size and Shape.Animals : an open access journal from MDPI · 2023Article
- A Comparison of Semilandmarking Approaches in the Visualisation of Shape Differences.Animals : an open access journal from MDPI · 2023Article
- An Open-Source Photogrammetry Workflow for Reconstructing 3D Models.Integrative organismal biology (Oxford, England) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Three-dimensional (3D) photography is becoming more common in craniosynostosis practice and may be used for research, archiving, and as a planning tool. In this article, an overview of the uses of 3D photography will be given, including systems available and illustrations of how they can be used. Important innovations in 3D computer vision will also be discussed, including the potential role of statistical shape modeling and analysis as an outcomes tool with presentation of some results and a review of the literature on the topic. Potential future applications in diagnostics using machine learning will also be presented.
Indexed as
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What OpenQuestion holds
Registered trials
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.