Incidental findings in maxillary sinus area on cone-beam-computed-tomographic-scans: A retrospective study with emphasis on gender and ethnicity
| Autor: | Soad Mansour, S. Aljared, A. Alshami, R. Alkraida, Shatha Subhi ALHarthi, Munerah Saleh BinShabaib |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Cone beam computed tomography
Maxillary sinus medicine.medical_treatment Ethnic group Dentistry Computed tomography Computed tomographic 030207 dermatology & venereal diseases 03 medical and health sciences 0302 clinical medicine stomatognathic system parasitic diseases Ethnicity Medicine Radiation treatment planning Dental implant General Dentistry medicine.diagnostic_test business.industry Cone-beam computed tomography Gender Retrospective cohort study 030206 dentistry humanities eye diseases Incidental findings medicine.anatomical_structure Original Article sense organs business |
| Zdroj: | The Saudi Dental Journal |
| ISSN: | 1658-3558 1013-9052 |
| Popis: | Aim The aim was to assess the presence of incidental-findings (IFs) on cone-beam computed tomography (CBCT) scans of faciomaxillary region with emphasis on gender and ethnicity. Materials and methods A retrospective analysis of incidental findings (IFs) in the maxillary sinus was performed. All CBCT-scans were performed using a Cone Beam 3D imaging system and examined using a software program. These images were taken for treatment planning for dental implant therapy of partially edentulous individuals. Four-hundred CBCT scans were retrospectively evaluated. Data regarding age, gender and ethnicity (Saudi Arabian, Egyptian, Filipino and Pakistani) of the patients was recorded. When P-value were lesser than 0.05, the difference was deemed significant. Results Four hundred CBCT-based scans were investigated. The IFs were seen in 30.2%, 32.1%, 35.1% and 34.4% individuals belonging to the Egyptian, Saudi Arabian, Pakistani and Filipino ethnicities, respectively. Mucosal-thickening was more often identified in Saudi-Arabian (P |
| Databáze: | OpenAIRE |
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