Suppr超能文献

使用存储磷光体系统检测邻面龋。增强数字图像与牙科X线胶片的比较。

Detection of approximal caries with a storage phosphor system. A comparison of enhanced digital images with dental X-ray film.

作者信息

Møystad A, Svanaes D B, Risnes S, Larheim T A, Gröndahl H G

机构信息

Department of Oral Radiology, Faculty of Dentistry, University of Oslo, Norway.

出版信息

Dentomaxillofac Radiol. 1996 Sep;25(4):202-6. doi: 10.1259/dmfr.25.4.9084274.

Abstract

OBJECTIVES

To compare the accuracy of approximal caries detection using enhanced and unenhanced storage phosphor images and dental X-ray film.

METHODS

Fifty premolar/molar teeth were exposed simultaneously under standardized conditions on storage phosphor (SP) image plates (Digora) and Ektaspeed film. The image files were transferred to a different platform for image processing. Using a five-point confidence scale, ten observers rated 95 approximal surfaces for caries in enamel and dentin with three image modalities: enhanced and unenhanced SP images and film. The observations were validated microscopically. Diagnostic accuracy was measured as the area beneath the ROC curve (Az).

RESULTS

Enhanced SP images had significantly higher Az values in both enamel (Az = 0.819) and dentin (Az = 0.845) than unenhanced images and film. No significant differences were found in either enamel or dentin between unenhanced SP images (Az = 0.780 and Az = 0.789) and film (Az = 0.688 and Az = 0.793).

CONCLUSION

Enhancement of storage phosphor images improved detection of approximal caries in this in vitro study compared with unenhanced images and Ektaspeed film.

摘要

目的

比较使用增强型和未增强型存储磷光体图像及牙科X线胶片检测邻面龋的准确性。

方法

50颗前磨牙/磨牙在标准化条件下同时在存储磷光体(SP)成像板(Digora)和Ektaspeed胶片上曝光。图像文件被传输到不同平台进行图像处理。10名观察者使用五点可信度量表,通过三种图像模式(增强型和未增强型SP图像以及胶片)对95个牙釉质和牙本质邻面的龋损进行评分。观察结果通过显微镜进行验证。诊断准确性通过ROC曲线下面积(Az)来衡量。

结果

增强型SP图像在牙釉质(Az = 0.819)和牙本质(Az = 0.845)中的Az值均显著高于未增强型图像和胶片。未增强型SP图像(牙釉质Az = 0.780,牙本质Az = 0.789)和胶片(牙釉质Az = 0.688,牙本质Az = 0.793)在牙釉质或牙本质方面均未发现显著差异。

结论

在这项体外研究中,与未增强型图像和Ektaspeed胶片相比,存储磷光体图像的增强提高了邻面龋的检测能力。

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