锥形束计算机断层扫描金属伪影减少算法在检测种植体周围开窗和骨缺损方面的效能。
Efficacy of a cone beam computed tomography metal artifact reduction algorithm for the detection of peri-implant fenestrations and dehiscences.
作者信息
de-Azevedo-Vaz Sergio Lins, Peyneau Priscila Dias, Ramirez-Sotelo Laura Ricardina, Vasconcelos Karla de Faria, Campos Paulo Sérgio Flores, Haiter-Neto Francisco
机构信息
Department of Clinical Dentistry, Faculty of Dentistry, Federal University of Espirito Santo, Vitoria, Espirito Santo, Brazil.
Department of Oral Diagnosis, Division of Oral Radiology, Piracicaba Dental School, State University of Campinas, Piracicaba, Sao Paulo, Brazil.
出版信息
Oral Surg Oral Med Oral Pathol Oral Radiol. 2016 May;121(5):550-6. doi: 10.1016/j.oooo.2016.01.013. Epub 2016 Jan 28.
OBJECTIVE
To determine whether the use of a metal artifact reduction (MAR) algorithm improves the detection of peri-implant fenestrations and dehiscences on cone beam computed tomography scans.
STUDY DESIGN
One hundred titanium fixtures were implanted into bovine ribs after the creation of defects simulating fenestrations and dehiscences. Images were acquired using four different protocols, namely, A2 (MAR on, voxel 0.2 mm), A3 (MAR on, voxel 0.3 mm), B2 (MAR off, voxel 0.2 mm), and B3 (MAR off, voxel 0.3 mm). For all protocols, receiver operating characteristic (ROC) curves were determined. Values for the areas under the ROC curves (Az) were subjected to analysis of variance.
RESULTS
Az values were not statistically different among protocols regardless of the defect type (P > .05).
CONCLUSIONS
The MAR algorithm tested by us did not improve the diagnosis of peri-implant fenestrations and dehiscences with use of either the 0.2 mm or the 0.3 mm voxel sizes.
目的
确定使用金属伪影减少（MAR）算法是否能改善锥形束计算机断层扫描中种植体周围开窗和骨缺损的检测。
研究设计
在模拟开窗和骨缺损的缺陷形成后，将100个钛种植体植入牛肋骨。使用四种不同方案采集图像，即A2（MAR开启，体素0.2毫米）、A3（MAR开启，体素0.3毫米）、B2（MAR关闭，体素0.2毫米）和B3（MAR关闭，体素0.3毫米）。对于所有方案，均确定了受试者工作特征（ROC）曲线。对ROC曲线下面积（Az）值进行方差分析。
结果
无论缺陷类型如何，各方案之间的Az值均无统计学差异（P>.05）。
结论
我们测试的MAR算法在使用0.2毫米或0.3毫米体素大小时，并未改善种植体周围开窗和骨缺损的诊断。
Zotero 插件