Assessment of the reliability of automatic cephalometric analysis software

© 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, L...

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Main Authors: Niwat Anuwongnukroh, Surachai Dechkunakorn, Suchaya Damrongsri, Chayawat Nilwarat, Natthasit Pudpong, Watcharapon Radomsutthisarn, Silinda Kangern
Other Authors: Mahidol University
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Published: 2019
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/45670
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spelling th-mahidol.456702019-08-23T18:09:43Z Assessment of the reliability of automatic cephalometric analysis software Niwat Anuwongnukroh Surachai Dechkunakorn Suchaya Damrongsri Chayawat Nilwarat Natthasit Pudpong Watcharapon Radomsutthisarn Silinda Kangern Mahidol University Computer Science Engineering © 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. 2019-08-23T10:58:35Z 2019-08-23T10:58:35Z 2018-01-01 Article International Journal of Mechanical Engineering and Robotics Research. Vol.7, No.1 (2018), 61-65 10.18178/ijmerr.7.1.61-65 22780149 2-s2.0-85040337616 https://repository.li.mahidol.ac.th/handle/123456789/45670 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85040337616&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Computer Science
Engineering
spellingShingle Computer Science
Engineering
Niwat Anuwongnukroh
Surachai Dechkunakorn
Suchaya Damrongsri
Chayawat Nilwarat
Natthasit Pudpong
Watcharapon Radomsutthisarn
Silinda Kangern
Assessment of the reliability of automatic cephalometric analysis software
description © 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.
author2 Mahidol University
author_facet Mahidol University
Niwat Anuwongnukroh
Surachai Dechkunakorn
Suchaya Damrongsri
Chayawat Nilwarat
Natthasit Pudpong
Watcharapon Radomsutthisarn
Silinda Kangern
format Article
author Niwat Anuwongnukroh
Surachai Dechkunakorn
Suchaya Damrongsri
Chayawat Nilwarat
Natthasit Pudpong
Watcharapon Radomsutthisarn
Silinda Kangern
author_sort Niwat Anuwongnukroh
title Assessment of the reliability of automatic cephalometric analysis software
title_short Assessment of the reliability of automatic cephalometric analysis software
title_full Assessment of the reliability of automatic cephalometric analysis software
title_fullStr Assessment of the reliability of automatic cephalometric analysis software
title_full_unstemmed Assessment of the reliability of automatic cephalometric analysis software
title_sort assessment of the reliability of automatic cephalometric analysis software
publishDate 2019
url https://repository.li.mahidol.ac.th/handle/123456789/45670
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