ArticleScientific reports2021
Automatic 3D dense phenotyping provides reliable and accurate shape quantification of the human mandible.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Automated localization of mandibular landmarks in the construction of mandibular median sagittal plane.European journal of medical research · 2024Trial
- Morphological variations and differences of the mandible and midfacial skeleton across different sagittal skeletal patterns and sexes: a three-dimensional geometric morphometric analysis.Progress in orthodontics · 2026Article
- Diagnostic Support in Dentistry Through Artificial Intelligence: A Systematic Review.Bioengineering (Basel, Switzerland) · 2025Review
- Analysis and prediction of condylar resorption following orthognathic surgery.Scientific reports · 2025Article
- A Survey Study of the 3D Facial Landmark Detection Techniques Used as a Screening Tool for Diagnosis of the Obstructive Sleep Apnea Syndrome.Advances in respiratory medicine · 2024Review
- A novel approach to craniofacial analysis using automated 3D landmarking of the skull.Scientific reports · 2024Article
- Shape variation and sex differences of the adult human mandible evaluated by geometric morphometrics.Scientific reports · 2024Article
- Automated 3D Landmarking of the Skull: A Novel Approach for Craniofacial Analysis.bioRxiv : the preprint server for biology · 2024Article
- Damage evaluation of craniofacial localized scleroderma using magnetic resonance imaging.Quantitative imaging in medicine and surgery · 2024Article
- Transverse growth of the mandibular body in untreated children: a longitudinal CBCT study.Clinical oral investigations · 2023Article
- A Comparison of Semilandmarking Approaches in the Visualisation of Shape Differences.Animals : an open access journal from MDPI · 2023Article
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14 authors.
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Abstract
Automatic craniomaxillofacial (CMF) three dimensional (3D) dense phenotyping promises quantification of the complete CMF shape compared to the limiting use of sparse landmarks in classical phenotyping. This study assesses the accuracy and reliability of this new approach on the human mandible. Classic and automatic phenotyping techniques were applied on 30 unaltered and 20 operated human mandibles. Seven observers indicated 26 anatomical landmarks on each mandible three times. All mandibles were subjected to three rounds of automatic phenotyping using Meshmonk. The toolbox performed non-rigid surface registration of a template mandibular mesh consisting of 17,415 quasi landmarks on each target mandible and the quasi landmarks corresponding to the 26 anatomical locations of interest were identified. Repeated-measures reliability was assessed using root mean square (RMS) distances of repeated landmark indications to their centroid. Automatic phenotyping showed very low RMS distances confirming excellent repeated-measures reliability. The average Euclidean distance between manual and corresponding automatic landmarks was 1.40 mm for the unaltered and 1.76 mm for the operated sample. Centroid sizes from the automatic and manual shape configurations were highly similar with intraclass correlation coefficients (ICC) of > 0.99. Reproducibility coefficients for centroid size were < 2 mm, accounting for < 1% of the total variability of the centroid size of the mandibles in this sample. ICC's for the multivariate set of 325 interlandmark distances were all > 0.90 indicating again high similarity between shapes quantified by classic or automatic phenotyping. Combined, these findings established high accuracy and repeated-measures reliability of the automatic approach. 3D dense CMF phenotyping of the human mandible using the Meshmonk toolbox introduces a novel improvement in quantifying CMF shape.
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