Literature DB >> 16808568

Validity and reliability of a new edge-based computerized method for identification of cephalometric landmarks.

Serge Kazandjian1, Stavros Kiliaridis, Anestis Mavropoulos.   

Abstract

OBJECTIVE: To evaluate the validity and inter- and intraexaminer reliability when on-screen landmarks are digitized manually or when these are computer-assisted by means of a new cephalometric software feature.
MATERIALS AND METHODS: Twenty radiographs were digitized four times by two experienced orthodontists using a manual method and an edge-based algorithm that helps landmark identification by detecting the edges of anatomical structures.
RESULTS: The computer-assisted method did not agree with manual digitization in 7 of 13 landmarks and 5 of 10 variables. With a tolerance of 0.5 mm or degrees, the two methods did not agree in cephalometric variables. Intraoperator reliability was improved for B point (x-axis), and Menton (x- and y-axis). It got worse for point A (y-axis). Interoperator reliability was improved for B point (x- and y-axis), Soft Labrale Inferior (x- and y-axis), Soft Pogonion (x-axis), and Menton (y-axis). It decreased for point A (y-axis). Intra- and interoperator reliability got better for only one cephalometric variable under study (SNB).
CONCLUSIONS: The edge-locking feature seems to be a promising tool for increasing the reliability of on-screen cephalometric analysis. There seem to be difficulties in locating the appropriate edges when artifacts or soft tissue edges are located near the targeted landmark. The existence of very small, but systematic differences between the two digitization methods manifests the need for further improvement.

Mesh:

Year:  2006        PMID: 16808568     DOI: 10.1043/0003-3219(2006)076[0619:VAROAN]2.0.CO;2

Source DB:  PubMed          Journal:  Angle Orthod        ISSN: 0003-3219            Impact factor:   2.079


  5 in total

1.  Automated identification of cephalometric landmarks: Part 1-Comparisons between the latest deep-learning methods YOLOV3 and SSD.

Authors:  Ji-Hoon Park; Hye-Won Hwang; Jun-Ho Moon; Youngsung Yu; Hansuk Kim; Soo-Bok Her; Girish Srinivasan; Mohammed Noori A Aljanabi; Richard E Donatelli; Shin-Jae Lee
Journal:  Angle Orthod       Date:  2019-07-08       Impact factor: 2.079

2.  Developing a standardized cephalometric vocabulary: choices and possible strategies.

Authors:  Randall F Stewart; Heather Edgar; Charles Tatlock; Philip J Kroth
Journal:  J Dent Educ       Date:  2008-09       Impact factor: 2.264

3.  Comparison of manual, digital and lateral CBCT cephalometric analyses.

Authors:  Ricardo de Lima Navarro; Paula Vanessa Pedron Oltramari-Navarro; Thais Maria Freire Fernandes; Giovani Fidelis de Oliveira; Ana Cláudia de Castro Ferreira Conti; Marcio Rodrigues de Almeida; Renato Rodrigues de Almeida
Journal:  J Appl Oral Sci       Date:  2013 Mar-Apr       Impact factor: 2.698

4.  Automatic recognition of anatomic features on cephalograms of preadolescent children.

Authors:  Chihiro Tanikawa; Taku Yamamoto; Masakazu Yagi; Kenji Takada
Journal:  Angle Orthod       Date:  2010-09       Impact factor: 2.079

5.  Evaluation of fully automated cephalometric measurements obtained from web-based artificial intelligence driven platform.

Authors:  Ravi Kumar Mahto; Dashrath Kafle; Abhishek Giri; Sanjeev Luintel; Arjun Karki
Journal:  BMC Oral Health       Date:  2022-04-19       Impact factor: 3.747

  5 in total

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