Web-based Fully Automated Cephalometric Analysis: Comparisons between App-aided, Computerized, and Manual Tracings

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dc.authoridMeric, Pamir/0000-0002-4655-5664
dc.authorwosidMeriç, Pamir/AAF-2482-2021
dc.contributor.authorMeric, Pamir
dc.contributor.authorNaoumova, Julia
dc.date.accessioned2024-06-12T10:52:27Z
dc.date.available2024-06-12T10:52:27Z
dc.date.issued2020
dc.departmentTrakya Üniversitesien_US
dc.description.abstractObjective: To compare the accuracy of cephalometric analyses made with fully automated tracings, computerized tracing, and app-aided tracings with equivalent hand-traced measurements, and to evaluate the tracing time for each cephalometric analysis method. Methods: Pre-treatment lateral cephalometric radiographs of 40 patients were randomly selected. Eight angular and 4 linear parameters were measured by 1 operator using 3 methods: computerized tracing with software Dolphin Imaging 13.01(Dolphin Imaging and Management Solutions, Chatsworth, Calif, USA), app-aided tracing using the CephNinja 3.51 app (Cyncronus LLC, WA, USA), and web-based fully automated tracing with CephX (ORCA Dental AI, Las Vegas, NV). Correction of CephX landmarks was also made. Manual tracings were performed by 3 operators. Remeasurement of 15 radiographs was carried out to determine the intra-examiner and inter-examiner (manual tracings) correlation coefficient (ICC). Inter-group comparisons were made with one-way analysis of variance. The Tukey test was used for post hoc testing. Results: Overall, greater variability was found with CephX compared with the other methods. Differences in GoGn-SN (degrees), I-NA (degrees), I-NB (degrees), I-NA (mm), and I-NB (mm) were statistically (p<0.05) and clinically significant using CephX, whereas CephNinja and Dolphin were comparable to manual tracings. Correction of CephX landmarks gave similar results to CephNinja and Dolphin. All the ICCs exceeded 0.85, except for I-NA (degrees), I-NB (degrees), and I-NB (mm), which were traced with CephX. The shortest analyzing time was obtained with CephX. Conclusion: Fully automatic analysis with CephX needs to be more reliable. However, CephX analysis with manual correction is promising for use in clinical practice because it is comparable to CephNinja and Dolphin, and the analyzing time is significantly shorter.en_US
dc.description.sponsorshipTrakya University Scientific Research Projects [2018/39]en_US
dc.description.sponsorshipThis study was supported by Trakya University Scientific Research Projects (Project No: 2018/39).en_US
dc.identifier.doi10.5152/TurkJOrthod.2020.20062
dc.identifier.endpage149en_US
dc.identifier.issn2148-9505
dc.identifier.issue3en_US
dc.identifier.pmid32974059en_US
dc.identifier.scopus2-s2.0-85092065355en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage142en_US
dc.identifier.trdizinid367306en_US
dc.identifier.urihttps://doi.org/10.5152/TurkJOrthod.2020.20062
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/367306
dc.identifier.urihttps://hdl.handle.net/20.500.14551/18702
dc.identifier.volume33en_US
dc.identifier.wosWOS:000565942200001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherAvesen_US
dc.relation.ispartofTurkish Journal Of Orthodonticsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAppsen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectAutomated Identificationen_US
dc.subjectAutomatic Tracingen_US
dc.subjectCephalometricen_US
dc.subjectComputerized Tracingen_US
dc.subjectWeb-Baseden_US
dc.subjectLandmark Identificationen_US
dc.subjectReproducibilityen_US
dc.subjectRadiographsen_US
dc.subjectImagesen_US
dc.subjectFilmen_US
dc.titleWeb-based Fully Automated Cephalometric Analysis: Comparisons between App-aided, Computerized, and Manual Tracingsen_US
dc.typeArticleen_US

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