A three-dimensional statistical shape model of the growing mandible
| Autor: | Thomas J.J. Maal, Ruud Schreurs, Cornelis Klop, J. H. Koolstra, N. H. J. Lobé, J. W. Nolte, Alfred G. Becking, C. S. Mulder, V. Vespasiano, Magic Amsterdam |
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| Přispěvatelé: | Oral and Maxillofacial Surgery / Oral Pathology, AMS - Tissue Function & Regeneration, Maxillofacial Surgery (VUmc), Maxillofacial Surgery (AMC + VUmc), Oral Kinesiology, Oral Cell Biology, Maxillofacial Surgery (AMC), Dental Material Sciences, Graduate School, Oral and Maxillofacial Surgery, Other Research |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Male
Science Mandible Mandibular growth Total variation Imaging Three-Dimensional Sex Factors Statistics Humans Child Mathematics Principal Component Analysis Multidisciplinary Models Statistical Mode (statistics) Age Factors Iterative closest point Infant Field (geography) Data set Databases as Topic Child Preschool Principal component analysis Medicine Female Tomography X-Ray Computed |
| Zdroj: | Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021) Scientific Reports, 11(1):18843. Nature Publishing Group MAGIC Amsterdam 2021, ' A three-dimensional statistical shape model of the growing mandible ', Scientific Reports, vol. 11, 18843, pp. 1-10 . https://doi.org/10.1038/s41598-021-98421-x MAGIC Amsterdam 2021, ' A three-dimensional statistical shape model of the growing mandible ', Scientific Reports, vol. 11, no. 1, 18843 . https://doi.org/10.1038/s41598-021-98421-x Scientific Reports, 11:18843, 1-10. Nature Publishing Group Scientific reports, 11(1):18843. Nature Publishing Group |
| ISSN: | 2045-2322 |
| DOI: | 10.1038/s41598-021-98421-x |
| Popis: | Mandibular growth and morphology are important topics in the field of oral and maxillofacial surgery. For diagnostic and planning purposes, a normative database or statistical shape model of the growing mandible can be of great benefit. A collection of 874 cadaveric children’s mandibles with dental age between 1 and 12 years old were digitized using computed tomography scanning and reconstructed to three-dimensional models. Point correspondence was achieved using iterative closest point and coherent point drift algorithms. Principal component analysis (PCA) was applied to find the main modes of variation in the data set. The average mandible was presented, along with the first ten PCA modes. The first mode explained 78% of the total variance; combining the first ten modes accumulated to 95% of the total variance. The first mode was strongly correlated with age and hence, with natural growth. This is the largest study on three-dimensional mandibular shape and development conducted thus far. The main limitation is that the samples lack information such as gender and cause of death. Clinical application of the model first requires validation with contemporary samples. |
| Databáze: | OpenAIRE |
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