Literature DB >> 26683131

A new mandible-specific landmark reference system for three-dimensional cephalometry using cone-beam computed tomography.

Pisha Pittayapat1,2, Reinhilde Jacobs3, Michael M Bornstein3,4, Guillaume A Odri5, Min Sung Kwon3, Ivo Lambrichts6, Guy Willems7, Constantinus Politis3, Raphaël Olszewski8.   

Abstract

OBJECTIVES: To develop a novel 3D landmark reference system that is specific for mandibular midline cephalometric landmarks and to assess its repeatability and reproducibility.
METHODS: Cone-beam computed tomography (CBCT) scans (3D Accuitomo® 170) were performed on 26 dry human skulls. The CBCT data were exported into DICOM files and imported to Maxilim® software to create 3D surface models. Two observers identified five landmarks to create a specific mid-sagittal mandibular plane: two mandibular foramina, two molar landmarks and one interincisive landmark. On this mid-sagittal mandibular plane, four mandibular cephalometric landmarks were marked: Point B, Pogonion, Gnathion and Menton. All observations were repeated by the two observers after an interval of 4 weeks. The coordinates (x, y, z) of each landmark were exported, and statistical analyses were performed to evaluate inter- and intra-rater precision.
RESULTS: The intra-observer median precision in locating all landmarks ranged between 0.17 and 0.61mm. The intra-observer repeatability was generally good with a precision under 1mm in more than 50 per cent. The overall median inter-observer precision was 0.26-2.30mm. The mandibular foramina showed the best inter-observer reproducibility. The general inter-observer reproducibility was moderate to good, except for Pogonion and Point B. LIMITATIONS: Dry human skulls may not represent anatomical conditions found in living patients, thus the system should be validated using patients' data.
CONCLUSION: The novel reference system offered good precision and generally good to moderate repeatability and reproducibility for mandibular midline cephalometric landmark identification in three dimensions. These findings will be useful for further improvement of 3D cephalometric systems.
© The Author 2015. Published by Oxford University Press on behalf of the European Orthodontic Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.

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Year:  2015        PMID: 26683131     DOI: 10.1093/ejo/cjv088

Source DB:  PubMed          Journal:  Eur J Orthod        ISSN: 0141-5387            Impact factor:   3.075


  3 in total

1.  Modern 3D cephalometry in pediatric orthodontics-downsizing the FOV and development of a new 3D cephalometric analysis within a minimized large FOV for dose reduction.

Authors:  Pamela Kissel; James K Mah; Axel Bumann
Journal:  Clin Oral Investig       Date:  2021-01-25       Impact factor: 3.573

2.  A Novel Method to Combine Maxilla-Based Coordinate System and Mandibular Voxel-Based Superimposition with Cone-Bean Computed Tomography.

Authors:  Chenghao Zhang; Ling Ji; Yijun Li; Fangwei Pan; Wen Liao; Zhihe Zhao
Journal:  J Clin Med       Date:  2022-09-04       Impact factor: 4.964

3.  A semi-supervised learning approach for automated 3D cephalometric landmark identification using computed tomography.

Authors:  Hye Sun Yun; Chang Min Hyun; Seong Hyeon Baek; Sang-Hwy Lee; Jin Keun Seo
Journal:  PLoS One       Date:  2022-09-28       Impact factor: 3.752

  3 in total

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