Literature DB >> 16413890

The accuracy of cephalometric tracing superimposition.

Michael J Gliddon1, James J Xia, Jaime Gateno, Helena T F Wong, Robert E Lasky, John F Teichgraeber, Xiaolan Jia, Michael A K Liebschner, Jeremy J Lemoine.   

Abstract

PURPOSE: The purpose of this study was to compare the accuracy of 4 methods for cephalometric tracing superimposition. They are the FH@Porion method, S-N@Sella method, least-squared averaged 5 landmarks (LS-5) method, and manual geometric method.
MATERIALS AND METHODS: Eight lateral cephalometric radiographs were used. Cephalometric tracing was performed by 2 examiners. One had extensive experience in landmark digitization while the other had minimal experience. The radiographs were scanned and the reference landmarks ANS, Point A, Point B, and Pogonion were digitized, creating 8 master tracings. Then 6 digital copies of each master tracing were made, 3 for each examiner. Subsequently, the examiners were asked to digitize and trace predetermined cranial base landmarks and structures. Tracings occurred at 1-month intervals. As a result, 3 separate tracings of each set were obtained from each examiner. The tracings of each set were superimposed using 4 different methods in the CASSOS software (SoftEnable Technology Ltd, Hong Kong SAR, China). For each method of superimposition, the coordinates of ANS, Point A, Point B, and Pogonion were recorded. Their means and variances were calculated. The variance represents the variability of the superimposition method. A general linear model for repeated measures was computed to test whether there were statistically significant differences among the 4 superimposition methods, 2 examiners, 4 reference landmarks, and 2 directions. Because the distribution of the variances was skewed, they were transformed to log variances. Finally, the errors of the superimposition in millimeters for each given examiner, superimposition method, reference landmark, and direction (X, Y) were calculated.
RESULTS: There was a statistically significant difference in measurement variability among the 4 superimposition methods (P < .001). For both examiners, the variability of the different superimposition methods from the highest to the lowest was: Frankfort Plane registered at Porion method, Sella-Nasion registered at Sella method, least-square averaged 5 landmarks method, and the manual geometric method. In addition, there was a statistically significant difference in the magnitude of superimposition errors between the 2 examiners (P < .001). The experienced examiner was consistently more precise than the inexperienced examiner across all methods. Moreover, there was a statistically significant difference among 4 reference landmarks (P < .001). For both examiners, the recorded variability of each given reference landmark from the lowest to the highest was: ANS, Point A, Point B, and Pogonion. Furthermore, the variability differences between horizontal and vertical directions did not reach a conventional level of significance (P = .123). Finally, the recorded errors in millimeters for each superimposition method were summarized. A smaller error in millimeters represented a higher accuracy in superimposition. The error of using manual geometric or LS-5 methods for both examiners was less than 0.50 mm, while the error of using the other 2 methods was up to 0.99 mm for the experienced examiner and 2.88 mm for the inexperienced examiner.
CONCLUSION: The error of both manual and LS-5 methods was within 0.5 mm. The LS-5 method had its advantage because it could be automated by the computer.

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Year:  2006        PMID: 16413890     DOI: 10.1016/j.joms.2005.10.028

Source DB:  PubMed          Journal:  J Oral Maxillofac Surg        ISSN: 0278-2391            Impact factor:   1.895


  10 in total

1.  Novel information theory based method for superimposition of lateral head radiographs and cone beam computed tomography images.

Authors:  W Jacquet; E Nyssen; P Bottenberg; P de Groen; B Vande Vannet
Journal:  Dentomaxillofac Radiol       Date:  2010-05       Impact factor: 2.419

2.  Three-dimensional quantification of mandibular asymmetry through cone-beam computerized tomography.

Authors:  Lucia H S Cevidanes; Abeer Alhadidi; Beatriz Paniagua; Martin Styner; John Ludlow; Andre Mol; Timothy Turvey; William R Proffit; Paul Emile Rossouw
Journal:  Oral Surg Oral Med Oral Pathol Oral Radiol Endod       Date:  2011-04-16

3.  Evaluation of an automated superimposition method for computer-aided cephalometrics.

Authors:  Jun-Ho Moon; Hye-Won Hwang; Shin-Jae Lee
Journal:  Angle Orthod       Date:  2020-05-01       Impact factor: 2.079

4.  Comparison of actual surgical outcomes and 3-dimensional surgical simulations.

Authors:  Scott Tucker; Lucia Helena Soares Cevidanes; Martin Styner; Hyungmin Kim; Mauricio Reyes; William Proffit; Timothy Turvey
Journal:  J Oral Maxillofac Surg       Date:  2010-06-29       Impact factor: 1.895

5.  New 3-dimensional cephalometric analysis for orthognathic surgery.

Authors:  Jaime Gateno; James J Xia; John F Teichgraeber
Journal:  J Oral Maxillofac Surg       Date:  2011-01-22       Impact factor: 1.895

6.  Reliability Assessment of Orthodontic Apps for Cephalometrics.

Authors:  Sertaç Aksakallı; Hilal Yılancı; Erhan Görükmez; Sabri İlhan Ramoğlu
Journal:  Turk J Orthod       Date:  2016-12-01

7.  Analysis of the upper massif of the craniofacial with the radial method - practical use.

Authors:  Tomasz Lepich; Józefa Dąbek; Daniel Stompel; Jerzy S Gielecki
Journal:  Arch Med Sci       Date:  2011-11-08       Impact factor: 3.318

8.  Radiographic evaluation of orthodontic treatment by means of four different cephalometric superimposition methods.

Authors:  Marcos Augusto Lenza; Adilson Alves de Carvalho; Eduardo Beaton Lenza; Mauricio Guilherme Lenza; Hianne Miranda de Torres; João Batista de Souza
Journal:  Dental Press J Orthod       Date:  2015 May-Jun

9.  Test-retest reliability of mandibular morphology measurements on cone-beam computed tomography-synthesized cephalograms with random head positioning errors.

Authors:  Hsien-Shu Lin; Yunn-Jy Chen; Hsuan-Lun Lu; Tung-Wu Lu; Chien-Chih Chen
Journal:  Biomed Eng Online       Date:  2017-05-30       Impact factor: 2.819

10.  The application and accuracy of feature matching on automated cephalometric superimposition.

Authors:  Yiran Jiang; Guangying Song; Xiaonan Yu; Yuanbo Dou; Qingfeng Li; Siqi Liu; Bing Han; Tianmin Xu
Journal:  BMC Med Imaging       Date:  2020-03-19       Impact factor: 1.930

  10 in total

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