Accuracy of three cone-beam CT devices and two software systems in the detection of vertical root fractures.

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Tytuł:: Accuracy of three cone-beam CT devices and two software systems in the detection of vertical root fractures.
Autorzy:: Caetano AP; Faculty of Dentistry, Federal University of Goiás, Goiânia, Goiás, Brazil.
Sousa TO; Private Practioner, Goiânia, Goiás, Brazil.
Oliveira MR; Faculty of Dentistry, Federal University of Goiás, Goiânia, Goiás, Brazil.
Evanglista K; Faculty of Dentistry, Federal University of Goiás, Goiânia, Goiás, Brazil.
Bueno JM; São Leopoldo Mandic, Private Practioner, Goiânia, Goiás, Brazil.
Silva MA; Faculty of Dentistry, Federal University of Goiás, Goiânia, Goiás, Brazil.
Źródło:: Dento maxillo facial radiology [Dentomaxillofac Radiol] 2021 Mar 01; Vol. 50 (3), pp. 20200334. Date of Electronic Publication: 2020 Dec 01.
Typ publikacji:: Journal Article
Język:: English
Imprint Name(s):: Publication: 2003- : London : British Institute of Radiology
Original Publication: Erlangen, Germany : University Press Erlangen
MeSH Terms:: Tooth Fractures*/diagnostic imaging
Cone-Beam Computed Tomography ; Humans ; Reproducibility of Results ; Sensitivity and Specificity ; Software ; Tooth Root/diagnostic imaging
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Contributed Indexing:: Keywords: cone-beam computed tomography; diagnostic imaging; tooth fracture
Entry Date(s):: Date Created: 20201201 Date Completed: 20210223 Latest Revision: 20220420
Update Code:: 20240105
PubMed Central ID:: PMC7923069
DOI:: 10.1259/dmfr.20200334
PMID:: 33259236
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Objectives: The aim of this study was to compare the accuracy of vertical root fracture (VRF) detection using three tomography devices and two software systems in teeth with different endodontic fillings.
Methods: The sample consisted of 45 premolars divided into 3 groups: No filling (NF, n=15); Gutta percha (GP, n=15) and Metallic Post (MP, n=15). Cone-beam computed tomography (CBCT) images were acquired in Kodak 9000 3D, Orthopantomography 300 (OP300) and PreXion 3D devices, before and after induced root fractures. Two oral radiologists analyzed all images using InVivoDental and e-Vol DX software systems. The analysis was repeated after 15 days in 30% of the sample. Data analysis compared receiver operating characteristic (ROC) curves, as well the areas under the ROC curves. Accuracy, sensitivity, specificity, positive and negative predictive value were calculated according to each tomographic device and software. Intra- and interexaminer reliability were tested using the Kappa coefficient.
Results: The highest accuracy was seen in the image set from the PreXion 3D, using InVivo (0.96) or e-Vol DX (0.92) in image analysis. The OP300 device presented a similar performance of the PreXion 3D in teeth with different endodontic fillings. When using e-Vol DX, the accuracy of Kodak 9000 3D improved from 0.62 to 0.74.
Conclusions: The PreXion 3D device is the most accurate when detecting VRF, with a performance similar to the OP300 in endodontic filled teeth. Kodak 9000 3D is indicated for teeth without fillings, with better accuracy using e-Vol DX software.

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