Digital Orthopantomography vs Cone Beam Computed Tomography-Part 1: Detection of Periapical Lesions
Digital orthopantomography (OPT) is usually the first examination step in supervising an incoming patient. Cone beam computed tomography (CBCT) is the most refined and affordable method to search for different dental lesions. The aim of this paper is to evaluate the effectiveness of OPT and CBCT in...
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Veröffentlicht in: | The journal of contemporary dental practice 2019-05, Vol.20 (5), p.593-597 |
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Sprache: | eng |
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Zusammenfassung: | Digital orthopantomography (OPT) is usually the first examination step in supervising an incoming patient. Cone beam computed tomography (CBCT) is the most refined and affordable method to search for different dental lesions. The aim of this paper is to evaluate the effectiveness of OPT and CBCT in detecting periapical lesions in different dental groups.
An OPT and a CBCT scan of the dental arches of 45 patients were examined. The presence of AP was pointed out for OPT and CBCT. Sensitivity, specificity, predictive values, and accuracy were calculated for OPT, using CBCT as the reference standard.
OPT showed low sensitivity (40.0), positive predictive value (90.4), negative predictive value (90.0), accuracy (90.0), and high specificity (99.2). It was found to have higher sensitivity in the lower front and premolar areas, while the lowest was found in the upper molar area.
OPT can be used for endodontic diagnosis in the lower central and premolar sections, but CBCT plays a decisive role in the evaluation of molar areas and in the endodontic treatment planning, when a close relationship between apex and important anatomical structures exists.
CBCT exposes the patient to higher doses of radiations when compared with OPT, but CBCT, with its more selective sensitivity and the possibility to offer a three-dimensional (3D) rendering of dental and periodontal structures, is an elective choice for uncertain cases and for specific dental areas. |
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ISSN: | 1526-3711 1526-3711 |
DOI: | 10.5005/jp-journals-10024-2564 |