Publication: Assessment of the reliability of automatic cephalometric analysis software
Issued Date
2018-01-01
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ISSN
22780149
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2-s2.0-85040337616
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Mahidol University
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SCOPUS
Bibliographic Citation
International Journal of Mechanical Engineering and Robotics Research. Vol.7, No.1 (2018), 61-65
Suggested Citation
Niwat Anuwongnukroh, Surachai Dechkunakorn, Suchaya Damrongsri, Chayawat Nilwarat, Natthasit Pudpong, Watcharapon Radomsutthisarn, Silinda Kangern Assessment of the reliability of automatic cephalometric analysis software. International Journal of Mechanical Engineering and Robotics Research. Vol.7, No.1 (2018), 61-65. doi:10.18178/ijmerr.7.1.61-65 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/45670
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Title
Assessment of the reliability of automatic cephalometric analysis software
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Abstract
© 2018 Int. J. Mech. Eng. Rob. Res. The aim of this study was to evaluate and compare the reliability of a fully automatic cephalometric analysis software with manual cephalometric tracing. The lateral cephalograms of 108 orthodontic patients were selected. Eight linear (Pg-NB, Co-A, Co-Gn, U1-NA, L1-NB, Lower lip to E-plane, S-Go, and N-Me) and 9 angular (NS-Ba, SNA, SNB, NS-MP, FH-FO, U1-NA, L1-NB, L1-MP, and U1-L1) measurements were used in this study. The cephalometric analyses were performed by both manual method and automatic software. The differences between two methods were compared by paired t-test with p < 0.05. Analysis of interexaminer calibration of the measurement revealed a high reliability. The result showed that there were statistically significant differences (p < 0.05) in 13/17 parameters between the two methods, which consisted of 6 linear parameters (Pg-NB, Co-A, Co-Gn, U1-NA, L1-NB, and Lower lip to E-plane) and 7 angular parameters (SNA, NS-MP, FH-FO, U1-NA, L1-NB, L1-MP, and U1-L1). Only 4 parameters (NS-Ba, SNB, S-Go, and N-Me) did not show any significant differences. It is summarized that 76.47% (13/17 parameters) of cephalometric measurements performed automatically by the dental imaging software showed statistically significant differences when compared with the manual method. The automatic software could not reliably locate all cephalometric landmarks. Hence, the clinicians should not rely on the fully automatic analysis mode since the algorithm of the software still needs improvement for the higher accuracy in locating the cephalometric landmarks. Thus, to obtain accurate results, manual adjustments to the automatically located cephalometric landmarks are recommended.