Literature DB >> 32974059

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

Pamir Meriç1, Julia Naoumova2.   

Abstract

OBJECTIVE: 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 (°), I-NA (°), I-NB (°), 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 (°), I-NB (°), 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. © Copyright 2020 by Turkish Orthodontic Society.

Entities:  

Keywords:  Apps; artificial intelligence; automated identification; automatic tracing; cephalometric; computerized tracing; web-based

Year:  2020        PMID: 32974059      PMCID: PMC7491969          DOI: 10.5152/TurkJOrthod.2020.20062

Source DB:  PubMed          Journal:  Turk J Orthod        ISSN: 2148-9505


  19 in total

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2.  Landmark identification on direct digital versus film-based cephalometric radiographs: a human skull study.

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4.  Intraexaminer and interexaminer reliabilities of landmark identification on digitized lateral cephalograms and formatted 3-dimensional cone-beam computerized tomography images.

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Review 5.  Automatic cephalometric analysis.

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6.  Evaluation of speed, repeatability, and reproducibility of digital radiography with manual versus computer-assisted cephalometric analyses.

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7.  Digital imaging of cephalometric radiographs, Part 2: Image quality.

Authors:  D B Forsyth; W C Shaw; S Richmond; C T Roberts
Journal:  Angle Orthod       Date:  1996       Impact factor: 2.079

8.  Evaluation of an online website-based platform for cephalometric analysis.

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Review 9.  The impact of mobile handheld technology on hospital physicians' work practices and patient care: a systematic review.

Authors:  Mirela Prgomet; Andrew Georgiou; Johanna I Westbrook
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10.  Ceph-X: development and evaluation of 2D cephalometric system.

Authors:  Mogeeb Ahmed Ahmed Mosleh; Mohd Sapiyan Baba; Sorayya Malek; Rasheed A Almaktari
Journal:  BMC Bioinformatics       Date:  2016-12-22       Impact factor: 3.169

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  6 in total

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3.  Comparison between cephalometric measurements using digital manual and web-based artificial intelligence cephalometric tracing software.

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4.  Relationship between Craniovertebral Abnormalities and Maxillary Lateral Incisors Agenesis: A Case-Control Study.

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5.  Cephalometric Analysis, Severity Malocclusion, and Orthodontic Treatment Need Using IOTN in Deaf Children.

Authors:  Noengki Prameswari; Herniyati Herniyati; Bambang Sucahyo; Arya Brahmanta; Meralda Rossy Syahdinda
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6.  The Reliability of Two- and Three-Dimensional Cephalometric Measurements: A CBCT Study.

Authors:  Chenshuang Li; Hellen Teixeira; Nipul Tanna; Zhong Zheng; Stephanie Hsiang Yi Chen; Min Zou; Chun-Hsi Chung
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  6 in total

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