Imaging Sci Dent.  2018 Dec;48(4):245-254. 10.5624/isd.2018.48.4.245.

Effect of object position in the field of view and application of a metal artifact reduction algorithm on the detection of vertical root fractures on cone-beam computed tomography scans: An in vitro study

Affiliations
  • 1Department of Maxillofacial Radiology, Faculty of Dentistry, Guilan University of Medical Sciences, Rasht, Iran.
  • 2Dental Sciences Research Center, Department of Maxillofacial Radiology, Faculty of Dentistry, Guilan University of Medical Sciences, Rasht, Iran. zahradalili@yahoo.com
  • 3Dental Sciences Research Center, Department of Endodontics, Faculty of Dentistry, Guilan University of Medical Sciences, Rasht, Iran.

Abstract

PURPOSE
To assess the effects of object position in the field of view (FOV) and application of a metal artifact reduction (MAR) algorithm on the diagnostic accuracy of cone-beam computed tomography (CBCT) for the detection of vertical root fractures (VRFs).
MATERIALS AND METHODS
Sixty human single-canal premolars received root canal treatment. VRFs were induced in 30 endodontically treated teeth. The teeth were then divided into 4 groups, with 2 groups receiving metal posts and the remaining 2 only having an empty post space. The roots from different groups were mounted in a phantom made of cow rib bone, and CBCT scans were obtained for the 4 different groups. Three observers evaluated the images independently.
RESULTS
The highest frequency of correct diagnoses of VRFs was obtained with the object positioned centrally in the FOV, using the MAR algorithm. Peripheral positioning of the object without the MAR algorithm yielded the highest sensitivity for the first observer (66.7%). For the second and third observers, a central position improved sensitivity, with or without the MAR algorithm. In the presence of metal posts, central positioning of the object in the FOV significantly increased the diagnostic sensitivity and accuracy compared to peripheral positioning.
CONCLUSION
Diagnostic accuracy was higher with central positioning than with peripheral positioning, irrespective of whether the MAR algorithm was applied. However, the effect of the MAR algorithm was more significant with central positioning than with peripheral positioning of the object in the FOV. The clinical experience and expertise of the observers may serve as a confounder in this respect.

Keyword

Tooth Fracture; Artifact; Diagnosis; Cone-Beam Computed Tomography

MeSH Terms

Artifacts*
Bicuspid
Cone-Beam Computed Tomography*
Dental Pulp Cavity
Diagnosis
Humans
In Vitro Techniques*
Ribs
Tooth
Tooth Fractures

Figure

  • Fig. 1 A photograph showing the phantom fabricated for the placement of teeth after tooth insertion.

  • Fig. 2 Cone-beam computed tomographic images with central positioning of the object in the field of view. An axial image (A) and cross-sectional images (B and C) reveal root fracture of the left second tooth.

  • Fig. 3 Cone-beam computed tomographic images with peripheral positioning of the object in the field of view. An axial image (A) and cross-sectional images (B and C) reveal root fracture of the left second tooth.


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Hugo Gaêta-Araujo, Eduarda Helena Leandro Nascimento, Rocharles Cavalcante Fontenele, Arthur Xavier Maseti Mancini, Deborah Queiroz Freitas, Christiano Oliveira-Santos
Imaging Sci Dent. 2020;50(1):1-7.    doi: 10.5624/isd.2020.50.1.1.

Effect of slice inclination and object position within the field of view on the measurement accuracy of potential implant sites on cone-beam computed tomography
Bardia Vadiati Saberi, Negar Khosravifard, Alireza Nourzadeh
Imaging Sci Dent. 2020;50(1):37-43.    doi: 10.5624/isd.2020.50.1.37.


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