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Related Concept Videos

Computed Tomography01:10

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...

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Landmark identification errors on cone-beam computed tomography-derived cephalograms and conventional digital

Zwei-Chieng Chang1, Fu-Chang Hu, Eddie Lai

  • 1Department of Dentistry, National Taiwan University Hospital, Taipei, Taiwan.

American Journal of Orthodontics and Dentofacial Orthopedics : Official Publication of the American Association of Orthodontists, Its Constituent Societies, and the American Board of Orthodontics
|December 3, 2011
PubMed
Summary

Landmark identification errors on cone-beam computed tomography (CBCT)-derived cephalograms and conventional digital cephalograms are comparable. However, the basion landmark was found to be more reliable on CBCT images.

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Area of Science:

  • Dentistry
  • Radiology
  • Medical Imaging

Background:

  • Cephalometric landmark identification is crucial for orthodontic diagnosis and treatment planning.
  • Conventional digital cephalograms and cone-beam computed tomography (CBCT)-derived cephalograms are widely used imaging modalities.
  • Investigating landmark identification errors is essential for ensuring diagnostic accuracy.

Purpose of the Study:

  • To compare landmark identification errors between CBCT-derived cephalograms and conventional digital cephalograms.
  • To identify factors influencing landmark identification accuracy.

Main Methods:

  • Twenty patients with both CBCT and conventional digital cephalograms were included.
  • Eleven observers identified 20 landmarks and 2 fiducial points at two time points.
  • Generalized estimating equations were used to analyze landmark identification errors, considering image modality, landmark characteristics, and observer seniority.

Main Results:

  • Image modality was not a significant factor in overall landmark identification error.
  • Difficulty in identifying landmarks on overlapping structures increased identification errors.
  • The basion (Ba) landmark showed significantly decreased identification errors on CBCT-derived cephalograms.

Conclusions:

  • Overall landmark identification errors are comparable between CBCT-derived and conventional digital cephalograms.
  • The basion landmark is more reliably identified on CBCT-derived cephalograms.