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牙釉质机械缺陷与自然龋齿的对比:使用爱克发速显 Plus 胶片进行观察者鉴别

Mechanical defects in dental enamel vs. natural dental caries: observer differentiation using Ektaspeed Plus film.

作者信息

Farman A G, Scarfe W C, Goldsmith L J

机构信息

Guy's Hospital Dental School, London, UK.

出版信息

Caries Res. 1996;30(2):156-62. doi: 10.1159/000262153.

Abstract

The value of imaging modalities in enabling the observer to detect proximal dental caries has been tested previously using both natural carious cavitations and mechanical defects. This study compared the ability of dentists to detect mechanically created defects and natural dental carious cavitations on the proximal surfaces of extracted teeth, and to differentiate between the two. Detection rates according to lesion depth were also investigated. There was a difference in the ability of readers to detect natural proximal dental carious cavities and mechanical defects in the proximal enamel. The odds of detecting artificial cavities was 2.92 times the odds of diagnosing natural caries cavitations. There was great variation in the ability of the dentists to identify natural and artificial lesions. According to logistic regression, when the cavity depths are equal, the mechanical defects in the proximal dental enamel are easier to identify than are natural enamel dental caries cavitations. The odds ratio charts provided from this study show the depths of mechanical and natural lesions that are comparable in diagnostic challenge. These charts might permit rough approximations to be made when comparing previously published papers that variously use both mechanical defects and natural caries. Use of poorly designed in vitro models for testing can produce a false guide to the clinical performance of diagnostic systems.

摘要

先前已使用自然龋洞和机械性缺损对成像模态在使观察者能够检测近端龋齿方面的价值进行了测试。本研究比较了牙医检测拔除牙齿近端表面机械性造成的缺损和自然龋齿洞的能力,以及区分两者的能力。还研究了根据病变深度的检测率。读者检测自然近端龋齿洞和近端釉质机械性缺损的能力存在差异。检测人工龋洞的几率是诊断自然龋洞几率的2.92倍。牙医识别自然和人工病变的能力存在很大差异。根据逻辑回归分析,当龋洞深度相等时,近端牙釉质的机械性缺损比自然牙釉质龋洞更容易识别。本研究提供的优势比图表显示了在诊断挑战方面相当的机械性和自然性病变的深度。当比较先前发表的同时使用机械性缺损和自然龋齿的各种论文时,这些图表可能有助于进行大致估算。使用设计不佳的体外模型进行测试可能会对诊断系统的临床性能产生错误的指导。

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