Cephalometric accuracy and reliability in the diagnosis of skeletal class III malocclusion in Angolans
Keywords:
Orthodontics, Malocclusion, CephalometryAbstract
Introduction: cephalometric diagnosis is an essential tool due to the analysis of dental malocclusions and skeletal divergences. Objective: to evaluate the accuracy and reliability
of five cephalometric parameters in the diagnosis of skeletal class III malocclusion in Angolans. Methods: a cross-sectional descriptive observational study was carried out on 30 lateral cephalograms of Angolan patients treated at the Orthodontic Clinic of the Meditex
Clinic between July 2021 and October 2022. The ANB angle, Wits evaluation, Beta angle, the angle W and the angle Yen. Validity, reliability, sensitivity, and positive predictive values were calculated. Results: it turned out that the Dahlberg error ranged from 0,576 to 0,890 and the correlation coefficient between classes found a high correlation between the two sets of readings. A strong correlation was found between the values of the ANB angle and the Wits evaluation (r= 0,899, P < 0,05), the Beta angle and the Wits evaluation (r = 0,822, P < 0,05), and the angle Yen and W (r= 0,876, P < 0,05); the ANB angle and the Beta angle showed the highest sensitivity (0,934), while the ANB angle showed the highest PPV (0,966). Conclusions: the combination of ANB angle and Wits assessment, Beta angle and Wits
assessment, and Yen angle and W angle are reliable indicators to accurately assess class III malocclusion in Angolan patients.
Downloads
References
1. Liu Y, Yang K. Three-dimensional changes in the upper airway and craniomaxillofacial morphology of patients with Angle Class III malocclusion treated with a Frankel III appliance. BMC Oral Health [Internet]. 2021[citado 25 Nov 2022]; 21 (1): 634. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8662879/
2. Delgado Muñoz JA. Diagnóstico cefalométrico del prognatismo mandibular. Universidad de Guayaquil [Tesis]. 2022 [citado 25 Nov 2022]. Disponible en: http://repositorio.ug.edu.ec/bitstream/redug/63951/1/4217DELGADOjoel.pdf
3. Schwendicke F, Chaurasia A, Arsiwala L, Lee JH, Elhennawy K, Jost-Brinkmann PG, et al. Deep learning for cephalometric landmark detection: systematic review and meta-analysis. Clin Oral Investig [Internet]. 2021 [citado 25 Nov 2022]; 25 (7): 4299-4309. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8310492/
4. Subramanian AK, Chen Y, Almalki A, Sivamurthy G, Kafle D. Cephalometric Analysis in Orthodontics Using Artificial Intelligence-A Comprehensive Review. Biomed Res Int [Internet]. 2022 [citado 25 Nov 2022]:1880113. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9225851/
5. Dinesh A, Mutalik S, Feldman J, Tadinada A. Value-addition of lateral cephalometric radiographs in orthodontic diagnosis and treatment planning. Angle Orthod [Internet]. 2020 [citado 25 Nov 2022]; 90 (5): 665-671. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8032255/
6. Govinakovi PS, Al-Busaidi I, Senguttuvan V. Cephalometric Norms in an Omani Adult Population of Arab Descent. Sultan Qaboos Univ Med J [Internet]. 2018 [citado 25 Nov 2022];18(2):e182-e189. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6132525/
7. Al-Taai N, Levring Jäghagen E, Persson M, Ransjö M, Westerlund A. A Superimposition-Based Cephalometric Method to Quantitate Craniofacial Changes. Int J Environ Res Public Health [Internet]. 2021[citado 25 Nov 2022];18(10):5260. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8156959/
8. Denegri MA, Silva PP, Pegoraro-Krook MI, Ozawa TO, Yaedu RYF, Dutka JCR. Cephalometric predictors of hypernasality and nasal air emission. J Appl Oral Sci [Internet]. 2021 [citado 25 Nov 2022]; 29:e20210320. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8523092/
9. Paoloni V, De Razza FC, Franchi L, Cozza P. Stability prediction of early orthopedic treatment in Class III malocclusion: morphologic discriminant analysis. Prog Orthod [Internet]. 2021 [citado 25 Nov 2022];22(1):34. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8450206/
10. Ardani IGAW, Wicaksono A, Hamid T. The Occlusal Plane Inclination Analysis for Determining Skeletal Class III Malocclusion Diagnosis. Clin Cosmet Investig Dent [Internet]. 2020 [citado 25 Nov 2022];12:163-171. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7187933/
11. Storniolo Souza JM, Seminario MP, Pinzan Vercelino CRM, Pinzan A, Janson G. McNamara analysis cephalometric parameters in White-Brazilians, Japanese and Japanese-Brazilians with normal occlusion. Dental Press J Orthod [Internet]. 2021[citado 25 Nov 2022]; 26 (1) :e2119133. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8018756/
12. Maharjan S, Lili C. Comparación del ángulo ANB, el ángulo Yen y el ángulo W en la población china. Ortodoncia J Nepal [Internet]. 2019 [citado 25 Nov 2022]; 9 :35–8. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7749450/
13. Gupta AK, Kumar A, Ashraf K, Hussain K, Kumar A, Kulshrestha R. Establecimiento de normas cefalométricas del ángulo Yen, W y Beta con evaluación de la relación de la mandíbula sagital en la población de la India oriental. Indian J Orthod Dentofacial Res [Internet]. 2019 [citado 25 Nov 2022]; 5 :63–6. Disponible en: https://www.ijodr.com/article-details/9369
Downloads
Published
How to Cite
Issue
Section
License
Authors who have publications with this journal agree to the following terms: authors retain their copyright and grant the journal the right of first publication of their work, which is simultaneously subject to the Creative Commons Attribution-NonCommercial 4.0 International License that allows third parties to share the work as long as the author and first publication in this journal are indicated, for non-commercial use. Authors may adopt other non-exclusive license agreements for distribution of the published version of the work (e.g., depositing it in an institutional telematic archive or publishing it in a monographic volume) as long as the initial publication in this journal is indicated. Authors are allowed and encouraged to disseminate their work via the Internet (e.g., in institutional telematic archives, in their web page or in Pre-print servers) before and during the submission process, which can lead to interesting exchanges and increase citations of the published work. (See The Open Access Effect).