Literature DB >> 9511491

Effect of training and experience on cephalometric measurement errors on surgical patients.

P Y Lau1, M S Cooke, U Hägg.   

Abstract

The aim of this study was to quantify and compare the cephalometric measurement errors (interexaminer errors) between two orthodontic residents and two oral and maxillofacial surgical residents with differing years of experience. It was hypothesized that the measurement errors would differ between observers with different training backgrounds and experience and that this would lead to significant disagreements in the cephalometric assessment of patients to receive combined orthodontic and orthognathic surgical treatment. Thirty cephalograms were used in the evaluation. Each examiner independently digitized all cephalograms twice. Common cephalometric skeletal and dental variables, 18 angular and 9 linear, were measured. Interexaminer errors were calculated using two-sample t tests for every pair of examiners. The interexaminer error was large in both landmark identification and in angular and linear measurements. The amount of error did not depend on training or experience but probably on individual conception of landmark definition and perception of landmark location. Methods to limit interexaminer measurement errors are described.

Entities:  

Mesh:

Year:  1997        PMID: 9511491

Source DB:  PubMed          Journal:  Int J Adult Orthodon Orthognath Surg        ISSN: 0742-1931


  5 in total

1.  Comparative study between conventional and cone beam CT-synthesized half and total skull cephalograms.

Authors:  G S Liedke; E L Delamare; M B Vizzotto; H L D da Silveira; J R Prietsch; V Dutra; H E D da Silveira
Journal:  Dentomaxillofac Radiol       Date:  2012-02       Impact factor: 2.419

2.  Value-addition of lateral cephalometric radiographs in orthodontic diagnosis and treatment planning.

Authors:  Anjali Dinesh; Sunil Mutalik; Jonathan Feldman; Aditya Tadinada
Journal:  Angle Orthod       Date:  2020-09-01       Impact factor: 2.079

3.  A fully deep learning model for the automatic identification of cephalometric landmarks.

Authors:  Young Hyun Kim; Chena Lee; Eun-Gyu Ha; Yoon Jeong Choi; Sang-Sun Han
Journal:  Imaging Sci Dent       Date:  2021-07-13

4.  Cephalometric landmark variability among orthodontists and dentomaxillofacial radiologists: a comparative study.

Authors:  Ana Paula Reis Durão; Aline Morosolli; Pisha Pittayapat; Napat Bolstad; Afonso P Ferreira; Reinhilde Jacobs
Journal:  Imaging Sci Dent       Date:  2015-12-17

5.  Effectiveness of Human-Artificial Intelligence Collaboration in Cephalometric Landmark Detection.

Authors:  Van Nhat Thang Le; Junhyeok Kang; Il-Seok Oh; Jae-Gon Kim; Yeon-Mi Yang; Dae-Woo Lee
Journal:  J Pers Med       Date:  2022-03-03
  5 in total

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