Platzer Susanne, Wildburger Angelika, Lorenzoni Martin, Jakse Norbert, Riedl Regina, Weiglein Andreas, Wegscheider Walther, Kirmeier Robert
Research associate, Department of Prosthodontics, School of Dentistry, Medical University Graz, Graz, Austria; research associate, Department of Oral Surgery and Radiology, School of Dentistry, Medical University Graz, Graz, Austria; professor, School of Dentistry, Medical University of Graz, Graz, Austria; professor and chairman, Department of Oral Surgery and Radiology, School of Dentistry, Medical University Graz, Graz, Austria; research associate, Institute for Medical Informatics, Statistics and Documentation, Medical University Graz, Graz, Austria; first vice chair of institute, Institute of Anatomy, Medical University Graz, Graz, Austria; professor and chairman, Department of Prosthodontics, School of Dentistry, Medical University Graz, Graz, Austria; professor, Department of Oral Surgery and Radiology, School of Dentistry, Medical University Graz, Graz, Austria.
Clin Implant Dent Relat Res. 2014 Apr;16(2):212-22. doi: 10.1111/j.1708-8208.2012.00472.x. Epub 2012 Jul 10.
Volumetric data can be used as complementary information to characterize grafting materials. The aim of this cadaveric study was to analyze a noncommercial measurement technique based on the novel concept of an "interactive rigid registration algorithm" (IRRA). Parameters analyzed included the reproducibility of IRRA measurements and their reliability in comparison with the established measurement technique of "region growing segmentation thresholding" (RGST).
Three human skulls were used to simulate a total of 18 sinus grafts, using three incremental grafting procedures in each sinus (three skulls ×t wo sinuses × three grafting increments). Radiopaque impression material was used for the simulated grafts, whose volumes were recorded by computed tomography from three different tilt angles. The reproducibility of IRRA measurements and the reliability of volumetric results obtained with both the IRRA and RGST techniques were evaluated by appropriate intraclass correlation coefficient (ICC) and Bland-Altman analysis.
ICC greater than 0.9 indicated close to perfect agreement of the results obtained with both methods and good reproducibility of the IRRA measurements. Bland-Altman analysis demonstrated good inter-method and intramethod agreement.
The IRRA measurement technique can be recommended as a noninvasive tool to evaluate graft volumes in human maxillary sinuses.
容积数据可作为补充信息用于表征移植材料。本尸体研究的目的是分析一种基于“交互式刚性配准算法”（IRRA）这一新颖概念的非商业测量技术。分析的参数包括IRRA测量的可重复性及其与既定的“区域生长分割阈值法”（RGST）测量技术相比的可靠性。
使用三个人类颅骨模拟总共18次鼻窦移植，每个鼻窦采用三种递增的移植程序（三个颅骨×两个鼻窦×三种移植增量）。不透射线的印模材料用于模拟移植，其体积通过计算机断层扫描从三个不同倾斜角度进行记录。通过适当的组内相关系数（ICC）和Bland-Altman分析评估IRRA测量的可重复性以及使用IRRA和RGST技术获得的容积结果的可靠性。
ICC大于0.9表明两种方法获得的结果接近完美一致，且IRRA测量具有良好的可重复性。Bland-Altman分析表明方法间和方法内一致性良好。
IRRA测量技术可作为一种无创工具用于评估人类上颌窦中的移植体积。
