Literature DB >> 12738956

Diagnosis of approximal caries: bite-wing radiology versus the Ultrasound Caries Detector. An in vitro study.

Shlomo Matalon1, Osnat Feuerstein, Israel Kaffe.   

Abstract

OBJECTIVE: We sought to examine the validity, sensitivity, and specificity of bite-wing radiographs and a high-frequency sound wave device (the Ultrasound Caries Detector) used to detect caries on contacting approximal surfaces.
METHODS: A total of 36 extracted premolars and molars were first visually examined for the presence of caries; then a probe was used. Twelve models were prepared, each containing 3 teeth with 2 approximal surfaces and 2 contacted surfaces (of adjacent teeth). Bite-wing radiographs were taken and evaluated for proximal caries lesions. A high-frequency sound wave (ultrasound) device called the Ultrasound Caries Detector was also used to detect caries. Examinations were repeated after 1 week. Teeth were then sectioned and viewed under a stereomicroscope at 20x magnification, with which the true interproximal caries diagnosis was validated. The receiver operating characteristic curves were computed to establish the accuracy of the observer data.
RESULTS: The efficacy of the ultrasound diagnostic device for cavitated carious lesion detection was assessed by determining its specificity and sensitivity, 1.0 for each, in comparison with those of bite-wing radiography, 0.92 and 0.90, respectively (P <.001). The mean receiver operating characteristic value for the area under the curve was 0.934 with bite-wing radiography and 1 with the ultrasound diagnostic device.
CONCLUSIONS: Under in vitro conditions, the ultrasound diagnostic device had a higher sensitivity and specificity, in terms of the detection of approximal carious lesions, than bite-wing radiographs.

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Year:  2003        PMID: 12738956     DOI: 10.1067/moe.2003.164

Source DB:  PubMed          Journal:  Oral Surg Oral Med Oral Pathol Oral Radiol Endod        ISSN: 1079-2104


  4 in total

Review 1.  Application and Performance of Artificial Intelligence Technology in Detection, Diagnosis and Prediction of Dental Caries (DC)-A Systematic Review.

Authors:  Sanjeev B Khanagar; Khalid Alfouzan; Mohammed Awawdeh; Lubna Alkadi; Farraj Albalawi; Abdulmohsen Alfadley
Journal:  Diagnostics (Basel)       Date:  2022-04-26

2.  Detection of proximal caries using quantitative light-induced fluorescence-digital and laser fluorescence: a comparative study.

Authors:  Hyung-In Yoon; Min-Jeong Yoo; Eun-Jin Park
Journal:  J Adv Prosthodont       Date:  2017-12-14       Impact factor: 1.904

Review 3.  Systematic review and meta-analysis of diagnostic studies of proximal surface caries.

Authors:  Mila Janjic Rankovic; Svetlana Kapor; Yegane Khazaei; Alexander Crispin; Ina Schüler; Felix Krause; Kim Ekstrand; Stavroula Michou; Florin Eggmann; Adrian Lussi; Marie-Charlotte Huysmans; Klaus Neuhaus; Jan Kühnisch
Journal:  Clin Oral Investig       Date:  2021-09-04       Impact factor: 3.573

4.  Imaging modalities to inform the detection and diagnosis of early caries.

Authors:  Tanya Walsh; Richard Macey; Philip Riley; Anne-Marie Glenny; Falk Schwendicke; Helen V Worthington; Janet E Clarkson; David Ricketts; Ting-Li Su; Anita Sengupta
Journal:  Cochrane Database Syst Rev       Date:  2021-03-15
  4 in total

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