Objectives: The purpose of this study was to evaluate the accuracy and reliability of Mobile Application-Based Software for chair side cephalometric analysis.
Materials And Method: Pretreatment lateral cephalograms of 20 patients (10 males and 10 females) were selected randomly and were traced manually and also using Application-based software (One Ceph). 20 angular and three linear parameters were measured both manually and with the software in all the patients. Inter and intra-operator reliability of one ceph was evaluated and the measured parameters were statistically compared with the manual method (Gold Standard).
Result: The accuracy of angular and linear values was compared for all 23 parameters and our results showed no significant difference in the two methods used for most of the measurements. Three of the measurements [Angle of convexity (N-A; A-Pog); ANB angle; Upper Incisor to NA (Angular)] did show a statistically significant difference though these were clinically irrelevant.
Conclusion: Application-based cephalometric analysis can be an effective clinical diagnostic tool for chair-side cephalometric evaluation of orthodontic patient.
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http://dx.doi.org/10.4103/jos.JOS_28_20 | DOI Listing |
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Department of Microbiology and Immunology, Frederick P. Whiddon College of Medicine, University of South Alabama, Mobile, Alabama, USA.
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Radboud University, Postbus 9102, Nijmegen 6500 HC, the Netherlands.
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View Article and Find Full Text PDFProc Inst Mech Eng H
January 2025
Department of Biomedical Engineering, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India.
Assessing the kinematics of the upper limbs is crucial for rehabilitation treatment, especially for stroke survivors. Nowadays, researchers use computer vision-based algorithms for Human motion analysis. However, specific challenges include less accuracy, increased computational complexity and a limited number of anatomical key points.
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