COMPARISON OF THE ACCURACY OF MANUAL CEPHALOMETRY RADIOGRAPHIC MEASUREMENTS AND WEB-BASED DIGITAL SOFTWARE
Abstract
Background: Determining anatomical landmarks - in the cranium, maxilla and mandible - as well as measuring skeletal and dental angles on cephalometric radiographs are supporting examinations that determine important diagnoses in orthodontic treatment. Traditionally, cephalometric analysis has been performed by tracing radiographic landmarks on acetate overlays and measuring linear and angular variables using protractor. However, despite its widespread use in orthodontics, the technique is time consuming and has several drawbacks, including a high risk of error in tracing, landmark identification, and measurement. Objective: to evaluate the difference of cephalometric measurements using manual and digital technique. Method: pre-treatment cephalometric digital radiographs of 40 patients were traced manually and digitally using WebCeph Ver. 1.0.0 computer software program by the same investigator. A total of 8 anatomical landmarks were located and five angular measurements based on Steiner Analysis were measured. Independent t-tests and Mann-Whitney tests were used to compare the difference of manual and digital measurements. Result: the p-values for SNA, SNB, ANB, I-NA, I-NB were greater than 0.05 (p>0.05). Conclusion: There were no significant difference between manual and digital tracing cephalometric technique using WebCeph for SNA, SNB, ANB, I-NA and I-NB
Keywords: Cephalometric measurement, Digital cephalometric analysis, Steiner Analysis, Tracing cephalometry, WebCeph
Full Text:
PDFReferences
Kotuła J, Kuc AE, Lis J, Kawala B, Sarul M. New Sagittal and Vertical Cephalometric Analysis Methods: A Systematic Review. Diagnostics (Basel). 2022 Jul 15;12(7):1723.
Tanna NK, AlMuzaini AAAY, Mupparapu M. Imaging in Orthodontics. Dent Clin North Am. 2021 Jul;65(3):623-641.
Çoban G, Öztürk T, Hashimli N, Yağci A. Comparison between cephalometric measurements using digital manual and web-based artificial intelligence cephalometric tracing software. Dental Press J Orthod. 2022. Aug 15; 27(4): e222112.
Prince STT, Srinivasan D, Duraisamy S, Kannan R, Rajaram K. Reproducibility of linear and angular cephalometric measurements obtained by an artificial-intelligence assisted software (WebCeph) in comparison with digital software (AutoCEPH) and manual tracing method. Dental Press J Orthod. 2023 Apr 3;28(1): e2321214.
Mahto RK, Kafle D, Giri A, Luintel S, Karki A. Evaluation of fully automated cephalometric measurements obtained from web-based artificial intelligence driven platform. BMC Oral Health. 2022 Apr 19;22(1):132.
Aulia R, Diana W, Ika K, Aulia A, Deby K. Gambaran Profil Jaringan Lunak secara Klinis dan Foto Sefalometri pada Suku Banjar. Dentino (Jur. Ked. Gigi). 2023 Des; VII(3): 138 - 142
Prabhakar R, Rajakumar P, Karthikeyan MK, Saravanan R, Vikram NR, Reddy A. A hard tissue cephalometric comparative study between hand tracing and computerized tracing. J Pharm Bioallied Sci. 2014 Jul;6(Suppl 1):S101-6.
Alqahtani H. Evaluation of an online website-based platform for cephalometric analysis. J Stomatol Oral Maxillofac Surg. 2020 Feb;121(1):53-7.
Meriç P, Naoumova J. Web-based Fully Automated Cephalometric Analysis: Comparisons between App-aided, Computerized, and Manual Tracings. Turk J Orthod. 2020 Aug 11;33(3):142-149
Subramanian AK, Chen Y, Almalki A, Sivamurthy G, Kafle D. Cephalometric Analysis in Orthodontics Using Artificial Intelligence-A Comprehensive Review. Biomed Res Int. 2022 Jun 16;2022:1880113
Tsolakis IA, Tsolakis AI, Elshebiny T, Matthaios S, Palomo JM. Comparing a Fully Automated Cephalometric Tracing Method to a Manual Tracing Method for Orthodontic Diagnosis. J Clin Med. 2022 Nov 20;11(22):6854.
Duran GS, Gökmen Ş, Topsakal KG, Görgülü S. Evaluation of the accuracy of fully automatic cephalometric analysis software with artificial intelligence algorithm. Orthod Craniofac Res. 2023 Aug;26(3):481-490.
Yassir YA, Salman AR, Nabbat SA. The accuracy and reliability of WebCeph for cephalometric analysis. J Taibah Univ Med Sci. 2021 Sep 22;17(1):57-66.
El-Dawlatly M, Attia KH, Abdelghaffar AY, Mostafa YA, Abd El-Ghafour M. Preciseness of artificial intelligence for lateral cephalometric measurements. J Orofac Orthop. 2023 Mar 9. English. doi: 10.1007/s00056-023-00459-1.
Bao H, Zhang K, Yu C, Li H, Cao D, Shu H, Liu L, Yan B. Evaluating the accuracy of automated cephalometric analysis based on artificial intelligence. BMC Oral Health. 2023 Apr 1;23(1):191.
DOI: http://dx.doi.org/10.20527/dentino.v9i1.18864
DOI (PDF): http://dx.doi.org/10.20527/dentino.v9i1.18864.g9877
Article Metrics
Abstract view : 450 timesPDF - 303 times
Refbacks
- There are currently no refbacks.
Contact Us:
Faculty of Dentistry
Lambung Mangkurat University
Jalan Veteran No. 128 B Banjarmasin, Indonesia
E-mail. [email protected]
Website. fkg.ulm.ac.id
This work is licensed under a Creative Commons Attribution 4.0 International License.