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使用智能超声设备进行临床龈下牙结石检测:一项初步研究。

Clinical subgingival calculus detection with a smart ultrasonic device: a pilot study.

作者信息

Meissner Grit, Oehme Bernd, Strackeljan Jens, Kocher Thomas

机构信息

Department of Restorative Dentistry, Periodontology and Pediatric Dentistry, School of Dentistry, Unit of Periodontology, Ernst-Moritz-Arndt University Greifswald, Greifswald, Germany.

出版信息

J Clin Periodontol. 2008 Feb;35(2):126-32. doi: 10.1111/j.1600-051X.2007.01177.x.

DOI:10.1111/j.1600-051X.2007.01177.x
PMID:18199147
Abstract

AIM

We have recently tested a surface detection system based on a conventional dental ultrasonic scaler in vitro. The aim of the present study was to investigate sensitivity and the specificity of the detection device in vivo.

MATERIAL AND METHODS

Subgingival buccal surfaces of 63 arbitrarily selected periodontally compromised teeth were scanned intra-orally, while the supragingival positions of the insert, along with the corresponding signals of the detection system, were saved as separate files. After extraction, the surface detection results were evaluated by re-positioning the inserts' position on the tooth in vitro and comparing the detection results with visual findings.

RESULTS

On the scanned tooth surfaces, there were 44 calculus spots, which covered 22.3% of all scanned surfaces (prevalence). The calculus-free surface was divided into "spots" mathematically. The device correctly classified 40 calculus and 125 cementum spots, whereas four calculus and 28 cementum spots were classified incorrectly. Calculus and cementum were discriminated with a sensitivity of 91% and a specificity of 82%. The positive and negative predictive values were 0.59 and 0.97.

CONCLUSION

The surface detection device was able to clinically differentiate cementum and calculus in vivo. Therefore, this method may support the decision of whether continued subgingival scaling could damage the cementum.

摘要

目的

我们最近在体外测试了一种基于传统牙科超声洁牙机的表面检测系统。本研究的目的是在体内研究该检测装置的敏感性和特异性。

材料与方法

对63颗任意选取的牙周受损牙齿的龈下颊面进行口内扫描,同时将探头的龈上位置以及检测系统的相应信号保存为单独的文件。拔牙后,通过在体外将探头重新定位在牙齿上并将检测结果与视觉检查结果进行比较,来评估表面检测结果。

结果

在扫描的牙齿表面上,有44个牙石斑点,占所有扫描表面的22.3%(患病率)。无牙石表面在数学上被划分为“斑点”。该装置正确分类了40个牙石和125个牙骨质斑点,而4个牙石和28个牙骨质斑点被错误分类。区分牙石和牙骨质的敏感性为91%,特异性为82%。阳性和阴性预测值分别为0.59和0.97。

结论

该表面检测装置能够在体内临床上区分牙骨质和牙石。因此,这种方法可能有助于决定继续进行龈下刮治是否会损伤牙骨质。

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How to train periodontal endoscopy? Results of a pilot study removing simulated hard deposits in vitro.如何进行牙周内窥镜培训?体外模拟硬沉积物清除的初步研究结果。
Clin Oral Investig. 2020 Feb;24(2):607-617. doi: 10.1007/s00784-019-02913-0. Epub 2019 May 20.
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Reliability of recordings of subgingival calculus detected using an ultrasonic device.
Clin Oral Investig. 2015 Apr;19(3):709-16. doi: 10.1007/s00784-014-1287-1. Epub 2014 Jul 24.
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Detection, removal and prevention of calculus: Literature Review.牙结石的检测、清除与预防:文献综述
Saudi Dent J. 2014 Jan;26(1):7-13. doi: 10.1016/j.sdentj.2013.12.003. Epub 2013 Dec 18.
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