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锥形束计算机断层扫描上的鼻旁窦病变

Paranasal sinus pathoses on cone beam computed tomography.

作者信息

Bozdemir Esin, Gormez Ozlem, Yıldırım Derya, Aydogmus Erik Ayse

机构信息

Department of Dentomaxillofacial Radiology Faculty of Dentistry Süleyman Demirel University Turkey.

出版信息

J Istanb Univ Fac Dent. 2016 Jan 12;50(1):27-34. doi: 10.17096/jiufd.47796. eCollection 2016.

Abstract

PURPOSE

The aim of this study was to investigate paranasal sinus pathoses detected on cone-beam computed tomography (CBCT) in an adult population.

PATIENTS AND METHODS

Three observers retrospectively inspected 353 consecutive CBCT scans obtained in a dentomaxillofacial radiology department for paranasal sinus pathoses. Descriptive statistics and chi-square tests were used to determine the prevalence of categorical parameters.

RESULTS

The age of the patients ranged from 18 to 85 years (mean 41.27±16.76). There were 172 (48.7%) females and 181 (51.3%) males. There was a significant difference between the genders (p=0.02), with males (53.5%) having more sinus pathoses than females (46.5%). When the left and right sinuses were considered together, pathoses were most commonly seen in the maxillary sinuses (57.1%), followed by the ethmoid (53.7 %), frontal (22.6%), and sphenoid sinuses (15.8%). Mucosal thickening was the most frequently observed abnormality (51.7%), followed by hypoplasia (17.5%) and sinusitis (17.3%).

CONCLUSION

CBCT is a preferable imaging method for evaluation of paranasal sinuses. Dentomaxillofacial radiologists should examine the whole volume of CBCT images to ensure they do not overlook paranasal sinus pathoses.

摘要

目的

本研究旨在调查成年人群中锥形束计算机断层扫描(CBCT)检测到的鼻窦病变。

患者与方法

三名观察者回顾性检查了在口腔颌面放射科连续获得的353例CBCT扫描,以查找鼻窦病变。使用描述性统计和卡方检验来确定分类参数的患病率。

结果

患者年龄范围为18至85岁(平均41.27±16.76)。有172名(48.7%)女性和181名(51.3%)男性。性别之间存在显著差异(p = 0.02),男性(53.5%)的鼻窦病变比女性(46.5%)更多。当将左右鼻窦一起考虑时,病变最常见于上颌窦(57.1%),其次是筛窦(53.7%)、额窦(22.6%)和蝶窦(15.8%)。黏膜增厚是最常观察到的异常(51.7%),其次是发育不全(17.5%)和鼻窦炎(17.3%)。

结论

CBCT是评估鼻窦的首选成像方法。口腔颌面放射科医生应检查CBCT图像的整个容积,以确保不遗漏鼻窦病变。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/08a1/5573450/34d32bcf1a96/jiufd-050-027-e001.jpg

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