Literature DB >> 9267228

Cephalometric landmarks identification and reproducibility: a meta analysis.

B Trpkova1, P Major, N Prasad, B Nebbe.   

Abstract

To assess the magnitude of cephalometric landmarks identification error, we performed a Meta analysis on six pertinent studies. We outline the procedures used to compare and integrate the findings of these-studies. The results are a measure of systematic and random errors involved when locating landmarks on lateral head films. They are presented as standard mean errors and 95% confidence intervals for the repeatability and reproducibility of 15 cephalometric landmarks commonly used in growth analysis.

Mesh:

Year:  1997        PMID: 9267228     DOI: 10.1016/s0889-5406(97)70242-7

Source DB:  PubMed          Journal:  Am J Orthod Dentofacial Orthop        ISSN: 0889-5406            Impact factor:   2.650


  34 in total

1.  Influence of a programme of professional calibration in the variability of landmark identification using cone beam computed tomography-synthesized and conventional radiographic cephalograms.

Authors:  E L Delamare; G S Liedke; M B Vizzotto; H L D da Silveira; J L D Ribeiro; H E D Silveira
Journal:  Dentomaxillofac Radiol       Date:  2010-10       Impact factor: 2.419

2.  Reproducibility and speed of landmarking process in cephalometric analysis using two input devices: mouse-driven cursor versus pen.

Authors:  Alice Cutrera; Ersilia Barbato; Francesco Maiorana; Daniela Giordano; Rosalia Leonardi
Journal:  Ann Stomatol (Roma)       Date:  2015-07-28

3.  Identification of a stable reference area for superimposing mandibular digital models.

Authors:  Kiyong An; Insan Jang; Dong-Soon Choi; Paul-Georg Jost-Brinkmann; Bong-Kuen Cha
Journal:  J Orofac Orthop       Date:  2015-11       Impact factor: 1.938

4.  Accuracy and repeatability of computer aided cervical vertebra landmarking in cephalogram.

Authors:  Lili Chen; Zhicong Lan; Xiangyang Xu; Jiuxiang Lin; Huaifei Hu
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2012-01-27

5.  Accuracy of linear intraoral measurements using cone beam CT and multidetector CT: a tale of two CTs.

Authors:  R Patcas; G Markic; L Müller; O Ullrich; T Peltomäki; C J Kellenberger; C A Karlo
Journal:  Dentomaxillofac Radiol       Date:  2012-05-03       Impact factor: 2.419

6.  Evaluation of an automated superimposition method for computer-aided cephalometrics.

Authors:  Jun-Ho Moon; Hye-Won Hwang; Shin-Jae Lee
Journal:  Angle Orthod       Date:  2020-05-01       Impact factor: 2.079

7.  Accuracy of computerized automatic identification of cephalometric landmarks by a designed software.

Authors:  Sh Shahidi; S Shahidi; M Oshagh; F Gozin; P Salehi; S M Danaei
Journal:  Dentomaxillofac Radiol       Date:  2013       Impact factor: 2.419

8.  Factors influencing the accuracy of cephalometric prediction of soft tissue profile changes following orthognathic surgery.

Authors:  Olga-Elpis Kolokitha; Evangelia Chatzistavrou
Journal:  J Maxillofac Oral Surg       Date:  2011-07-07

9.  Sagittal back contour and craniofacial morphology in preadolescents.

Authors:  Carsten Lippold; Emil Segatto; András Végh; Burkhard Drerup; Tatjana Moiseenko; Gholamreza Danesh
Journal:  Eur Spine J       Date:  2009-11-28       Impact factor: 3.134

10.  An evaluation of cellular neural networks for the automatic identification of cephalometric landmarks on digital images.

Authors:  Rosalia Leonardi; Daniela Giordano; Francesco Maiorana
Journal:  J Biomed Biotechnol       Date:  2009-09-10
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