Literature DB >> 9138504

Comparison of the reliability of craniofacial anatomic landmarks based on cephalometric radiographs and three-dimensional CT scans.

J Kragskov1, C Bosch, C Gyldensted, S Sindet-Pedersen.   

Abstract

OBJECTIVE: Conventional cephalometry is an inexpensive and well-established method for evaluating patients with dentofacial deformities. However, patients with major deformities, and in particular asymmetric cases are difficult to evaluate by conventional cephalometry. Both two- and three-dimensional computed tomography (CT) have been proposed to alleviate some of these difficulties. Only a few studies using metallic markers have indicated 3-D CT to be a useful diagnostic method, whereas no studies have evaluated the reliability of the anatomic cephalometric points used in 3-D CT. The aim of our study therefore was to compare the reliability of anatomic cephalometric points from conventional cephalograms and 3-D CT.
METHODS: Nine human dry skulls were CT scanned. In addition standard lateral and frontal cephalograms were obtained. The CT scans were 3-D image reconstructed, and the cephalometric points were recorded as x, y, and z co-ordinates by two investigators. Computerized cephalometrics were performed-on the lateral and frontal cephalograms. Intra- and interindividual variations were calculated for each method and tested for statistical significance.
RESULTS: Lateral cephalogram measures were more reliable than 3-D CT, with interobserver variations less than 1 mm for most points compared to about 2 mm for 3-D CT. Lateral cephalometrics also showed significantly less interobserver variation for six variables. This was, however, less obvious when 3-D CT was compared to frontal cephalograms. Frontal cephalometrics showed significantly less interobserver variation for three of the investigated variables.
CONCLUSIONS: For standard lateral and frontal cephalometric points, there is no evidence that 3-D CT is more reliable than the conventional cephalometric methods in normal skull, and the benefit of 3-D CT cephalometric is indicated to be in the severe asymmetric craniofacial syndrome patients, as conventional cephalometrics is known to be inferior in these cases.

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Year:  1997        PMID: 9138504     DOI: 10.1597/1545-1569_1997_034_0111_cotroc_2.3.co_2

Source DB:  PubMed          Journal:  Cleft Palate Craniofac J        ISSN: 1055-6656


  29 in total

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2.  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
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3.  Comparison of linear and angular measurements using two-dimensional conventional methods and three-dimensional cone beam CT images reconstructed from a volumetric rendering program in vivo.

Authors:  U Oz; K Orhan; N Abe
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4.  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
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7.  A computed tomography-based comparative cephalometric analysis of the Italian craniofacial pattern through 2,700 years.

Authors:  S Cappabianca; L Perillo; V Esposito; F Iaselli; G Tufano; T G Thanassoulas; M Montemarano; R Grassi; A Rotondo
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8.  "Black Bone" MRI: a potential non-ionizing method for three-dimensional cephalometric analysis--a preliminary feasibility study.

Authors:  K A Eley; S R Watt-Smith; S J Golding
Journal:  Dentomaxillofac Radiol       Date:  2013-09-19       Impact factor: 2.419

9.  A knowledge-based algorithm for automatic detection of cephalometric landmarks on CBCT images.

Authors:  Abhishek Gupta; Om Prakash Kharbanda; Viren Sardana; Rajiv Balachandran; Harish Kumar Sardana
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10.  Automatic Craniomaxillofacial Landmark Digitization via Segmentation-Guided Partially-Joint Regression Forest Model and Multiscale Statistical Features.

Authors:  Jun Zhang; Yaozong Gao; Li Wang; Zhen Tang; James J Xia; Dinggang Shen
Journal:  IEEE Trans Biomed Eng       Date:  2015-11-24       Impact factor: 4.538

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