Literature DB >> 12490875

Landmark identification on direct digital versus film-based cephalometric radiographs: a human skull study.

Ralf Kurt Willy Schulze1, Matthias Burkhardt Gloede, Gerhard Michael Doll.   

Abstract

The purpose of this study was to investigate differences in landmark identification on vertically scanned, direct digital and conventional (18 x 24 cm) cephalometric radiographs. Eight observers, all orthodontists or postgraduate orthodontic students, recorded 6 landmarks twice on 3 digital and 3 conventional cephalograms obtained from 3 human skulls in a standardized fashion. Digital images were displayed on a 15.1-in TFT monitor in 3:1 mode (20 x 26 cm). Recordings were transferred into standardized coordinate systems and evaluated separately for each coordinate. After correcting for magnification, precision was assessed with Maloney-Rastogi tests, and intraobserver and interobserver reproducibility was calculated from squared differences. Effective magnification was larger for the digital images (x, 13%; y, 12%). Significantly different (P <.05) precision was found for nasion (N), posterior nasal spine (PNS), sella (S), supraspinale (A), and orbitale (Or), but average differences were entirely below 1 mm. Interobserver and intraobserver reproducibility did not differ significantly between the 2 image modes. Squared differences were largest for PNS and Or in both modalities. Our results indicate comparable errors in landmark recording for both evaluated machines. However, these results must be considered in the context of the specific display conditions for digital images, because no general standard exists for this purpose.

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Year:  2002        PMID: 12490875     DOI: 10.1067/mod.2002.129191

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


  5 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.  Comparative evaluation of cephalometric measurements of monitor-displayed images by Nemoceph software and its hard copy by manual tracing.

Authors:  Tripti Tikku; Rohit Khanna; R P Maurya; Kamna Srivastava; Rastra Bhushan
Journal:  J Oral Biol Craniofac Res       Date:  2014-01-08

3.  Quantitative evaluation of patient movement during simulated acquisition of cephalometric radiographs.

Authors:  Kyung-Hoe Huh; Erika Benavides; Young-Tak Jo; Bo-Ram Choi; Won-Jin Yi; Min-Suk Heo; Sam-Sun Lee; Soon-Chul Choi
Journal:  J Digit Imaging       Date:  2011-06       Impact factor: 4.056

4.  Web-based Fully Automated Cephalometric Analysis: Comparisons between App-aided, Computerized, and Manual Tracings.

Authors:  Pamir Meriç; Julia Naoumova
Journal:  Turk J Orthod       Date:  2020-08-11

5.  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
  5 in total

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