Suppr超能文献

下颌骨牙槽管前襻:494例锥形束计算机断层扫描研究

Anterior Loop of the Inferior Alveolar Canal: A Cone-Beam Computerized Tomography Study of 494 Cases.

作者信息

Sahman Halil, Sisman Yildiray

机构信息

1   Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Abant İzzet Baysal University, Bolu, Turkey.

2   Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Erciyes University, Kayseri, Turkey.

出版信息

J Oral Implantol. 2016 Aug;42(4):333-6. doi: 10.1563/aaid-joi-D-15-00038. Epub 2016 Mar 3.

Abstract

The aim of this study was to use cone-beam computerized tomography (CBCT) images of patients to assess the prevalence of different types, especially anterior loop, of the mental portion of the inferior alveolar canal and to evaluate the anterior loop lengths. CBCT images of 494 patients providing inclusion criteria were examined by 2 oral radiologists. Sagittal, axial, and multiplanar reformatted images were used to detect the type of mental portion of the inferior alveolar canal. The anterior loop length was measured in the respective sections of each CBCT image. Statistical analysis was performed using SPSS v. 15, and t tests were used for statistical analysis. Of the 494 patients, 217 anterior loops were detected in 141 (28.5%) patients. The mean anterior loop lengths for the right side and the left side were 2.19 ± 1 mm and 2.08 ± 0.89 mm, respectively. The difference between males and females in the mean anterior loop length was statistically significant for both sides (Right: P < .05; Left: P < .05). A presurgical CBCT image examination is necessary prior to implant insertion to reveal the presence of anterior loop and to detect actual anterior loop length.

摘要

本研究的目的是利用患者的锥形束计算机断层扫描(CBCT)图像,评估下颌管颏部不同类型(尤其是前襻)的患病率,并评估前襻长度。2名口腔放射科医生对494例符合纳入标准患者的CBCT图像进行了检查。矢状面、轴面和多平面重组图像用于检测下颌管颏部的类型。在每张CBCT图像的相应层面测量前襻长度。使用SPSS v. 15进行统计分析,t检验用于统计分析。在494例患者中,141例(28.5%)患者检测到217个前襻。右侧和左侧的平均前襻长度分别为2.19±1 mm和2.08±0.89 mm。两侧前襻平均长度在男性和女性之间的差异具有统计学意义(右侧:P <.05;左侧:P <.05)。在植入种植体之前,进行术前CBCT图像检查以揭示前襻的存在并检测实际前襻长度是必要的。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验