Detection of Dental Pathologies in Routine Paranasal CT Scans: A Retrospective Study

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Detection of Dental Pathologies in Routine Paranasal CT Scans: A Retrospective Study

Journal Title: Journal of Clinical and Diagnostic Research - Year 2017, Vol 11, Issue 7

Abstract

Introduction: Multidetector Computed Tomography (MDCT) is a widespread method for evaluating paranasal sinuses and nasal cavity in daily practice. The maxillary teeth are in field of view in a paranasal sinus CT scan and it is possible to detect dental pathologies with CT. Aim: To determine the incidence of maxillary teeth pathologies in routine paranasal sinus CT scans. Materials and Methods: A retrospective study was conducted. Consecutive 395 paranasal sinus CT scans were evaluated. All CT images were obtained with a 64 detector-CT. Patients with previous facial trauma, operation, invasive tumors and repeated exams were excluded. Detected findings were classified as “tooth loss, dental restorations or procedures and dental pathologies (carious lesions, dental developmental anomalies, periapical lesions and periodontal diseases). The proportion of findings was reported as simple percentiles. Results: Three hundred and eighty-four CT scans were included in the study. Dental restorations or procedures were determined in 129 (33.5%) patients. A total of 34 (8.8%) patients had normal teeth count and morphology. A total of 264 (64.3%) patients had at least one tooth loss. A total of 195 (51%) patients had at least one or more dental pathology. Number of dental carious lesions, dental developmental anomalies, periapical lesions and periodontal disease were 104 (27.0%), 78 (14.3%), 46 (11.9%), 44 (11.4%), respectively. Conclusion: Dental pathologies were encountered in more than half of the patients. Detecting dental pathologies may prevent tooth loss and improve oral health. The radiologist should keep in mind dental pathologies while evaluating paranasal sinus CT in daily practice.

Authors and Affiliations

Erdogan Bulbul, Bahar Yanik, Gulen Demirpolat

Keywords

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EP ID EP356033
DOI 10.7860/JCDR/2017/27461.10287
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