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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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http://dx.doi.org/10.1016/j.joms.2005.10.028 | DOI Listing |
Cureus
August 2025
Orthodontics and Dentofacial Orthopaedics, Faculty of Dental Sciences, Institute of Medical Sciences, Banaras Hindu University, Varanasi, IND.
Aim: This study aimed to statistically evaluate and compare the accuracy, reliability, and efficiency of manual versus artificial intelligence (AI)-assisted digital cephalometric tracing using Steiner's and Down's analyses in orthodontic diagnostics.
Materials And Methods: A retrospective study was conducted using 20 lateral cephalograms obtained using the NewTom GiANO HR cone-beam computed tomography (CBCT) system (Quantitative Radiology, Verona, Italy). Manual tracings were performed on acetate sheets, while digital analysis employed the AudaxCeph® software (Audax d.
Biomed Res Int
August 2025
Department of Dental Anatomy, Dental Faculty, Azad University of Medical Sciences, Tehran, Iran.
Cephalometric tracing can be done either conventionally or using computers. Digital dentistry and digital orthodontics have considerably facilitated procedures. Still, their diagnostic accuracy needs assessment.
View Article and Find Full Text PDFCureus
July 2025
Epidemiological Research and Health Services Unit, Aging Area, Instituto Mexicano del Seguro Social, Mexico City, MEX.
Introduction The cephalometric norm of the mandibular corpus length (MCL) or the one-to-one ratio of the MCL to the anterior cranial base length (ACBL) are cephalometric indicators with unknown predictive capacity and clinical utility. Multivariate regression models enable the use of two or more variables to estimate an expected value, in this case, for MCL. This study compares three approaches to predicting MCL in adults by applying Björk-Jarabak measurements: (i) conventional angular norms, which have limited standalone value; (ii) simple linear-proportion indices of craniofacial structures; and (iii) a multivariate model that integrates both linear and angular measurements.
View Article and Find Full Text PDFAnn Maxillofac Surg
March 2025
Department of Oral and Maxillofacial Surgery, Anil Neerukonda Institute of Dental Sciences, Visakhapatnam, Andhra Pradesh, India.
Introduction: The assessment of dentofacial aesthetics depends on a proportionately aligned dentition in a well-balanced skeletal base and the soft-tissue envelope, which can be determined using cephalometric analysis. The craniofacial features amongst various ethnic groups vary as compared to other populations. Hence, this study was carried out to meet the requirement for developing customised cephalometric norms for the Northeastern Andhra Pradesh, Dravidian race population.
View Article and Find Full Text PDFJ Orofac Orthop
July 2025
Department of Orthodontics, University of Pennsylvania, Philadelphia, USA.
Objectives: To establish cephalometric norms for African American adults with normal occlusion and balanced soft tissue profiles in the Greater Philadelphia region and compare these findings with existing African American norms.
Materials And Methods: A total of 650 orthodontic records from adult African American subjects were reviewed. Normal occlusion was defined based on Angle's class I molar relationship, an overbite of 20-30% or greater than 0 mm and less than 3 mm, an overjet ranging from 1-3 mm, absence of crossbites, minor dental crowding, and gaps or rotations not exceeding 2 mm, along with a balanced facial profile.