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DOI 10.1097/id.0000000000000902

Медицинская библиотека · Implant dentistry · 2019

Prevalence of Maxillary Sinus Pathology Based on Cone-Beam Computed Tomography Evaluation of Multiethnicity Dental School Population.

Hsiao Yueh Ju, Yang Jie, Resnik Randolph R, Suzuki Jon B

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Аннотация

OBJECTIVE

The goal of the study was to evaluate prevalence of maxillary sinus pathology among populations considered for possible sinus augmentation procedures for dental implants.

STUDY

DESIGN

Eight hundred twenty-one cone-beam computed tomography (CBCT) scans were retrospectively evaluated for prevalence of maxillary sinus pathology. Scans were classified based on the type of sinus pathology detected. Categories of sinus findings were healthy, mucosal thickening larger than 3 mm, polypoidal mucosal thickening, partial opacification, complete opacification, and others. Age, sex, ethnicity, and dentition status were evaluated to determine associated relationships with the incidence of pathology.

RESULTS

Sixty-two percent (62.79%) of scans presented with bilateral healthy sinuses and 37.21% of scans exhibited pathology. 73.38% of sinuses were classified as clinical healthy, 14.93% presented with mucosal thickening, 8.53% with polypoidal mucosal thickening, 2.13% with partial opacification, 0.66% with complete opacification, and 0.37% with a foreign body. Sex is found to be a significant factor with higher pathology incidence rates in male patients. Age is a significant factor with higher pathology incidence rates in older subjects. Dentition status and ethnicity did not have a significant association with pathology incidence rates.

CONCLUSIONS

The prevalence of maxillary sinus pathologies and associations with age, sex, ethnicity, and dentition status were obtained. Thirty-seven percent of scans would require further medical consultation before proceeding with maxillary sinus augmentation surgery for dental implants.

Для цитирования: Hsiao Yueh Ju, Yang Jie, Resnik Randolph R, Suzuki Jon B. Prevalence of Maxillary Sinus Pathology Based on Cone-Beam Computed Tomography Evaluation of Multiethnicity Dental School Population.. Implant dentistry. 2019. DOI: 10.1097/id.0000000000000902.

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