Validity of computed tomography in diagnosing midfacial fractures.Show others and affiliations
2021 (English)In: International Journal of Oral and Maxillofacial Surgery, ISSN 0901-5027, E-ISSN 1399-0020, Vol. 50, no 4, p. 471-476, article id S0901-5027(20)30335-0Article in journal (Refereed) Published
Abstract [en]
The aim of this study was to evaluate the sensitivity, accuracy, and reliability of two-dimensional computed tomography (2D-CT) scans (axial, coronal, sagittal planes) and three-dimensional computed tomography (3D-CT) reconstructions in diagnosing midfacial fractures in relation to actual fractures identified clinically and during surgery (gold standard). The imaging diagnosis was performed by a radiologist and an oral and maxillofacial surgeon. Sixty-two patients with a total of 429 midfacial fractures were included. Frontal sinus and nose fractures were easily diagnosed. For the three CT planes, there was a statistically significant difference between the CT examination and the gold standard for five to seven of the nine bones evaluated, while for 3D-CT, a difference was observed only for fractures of the orbital floor. The inter-observer agreement between the oral and maxillofacial surgeon and the radiologist was 75.5%. In conclusion, in this study 3D-CT reconstructions showed significantly the best sensitivity, accuracy, and reliability for the diagnosis of midfacial fractures. The sagittal reconstructions were the least diagnostic of the 2D-CT images. For areas where the parameters studied showed less agreement and hence a more difficult diagnosis, we recommend a combination of 3D and 2D-CT images to improve diagnostic accuracy.
Place, publisher, year, edition, pages
Elsevier, 2021. Vol. 50, no 4, p. 471-476, article id S0901-5027(20)30335-0
Keywords [en]
Computed tomography, Diagnosis, Facial trauma, Midfacial fractures
National Category
Dentistry
Identifiers
URN: urn:nbn:se:mau:diva-22020DOI: 10.1016/j.ijom.2020.09.002ISI: 000645608200008PubMedID: 32980217Scopus ID: 2-s2.0-85091614941OAI: oai:DiVA.org:mau-22020DiVA, id: diva2:1482120
2020-10-272020-10-272024-02-05Bibliographically approved