Clinical comparison of two panoramic modalities and posterior bite-wing radiography in the detection of proximal dental caries

William C. Scarfe, Robert P. Langlais, Pirkka Nummikoski, S. Brent Dove, William D. McDavid, S. Thomas Deahl, Cheng H. Yuan

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

A clinical study was designed to examine whether the Philips OrthOralix SD (Gendex Dental Systems, Monza, Italy) orthogonal panoramic projection could improve diagnostic accuracy over standard projections in the detection of proximal surface caries. Thirty-five sets of radiographs that demonstrated optimal image characteristics were selected. Using a five-point scale, 18 viewers evaluated whether specified lesions were present or absent. Viewer data was then compared with a consensus radiographic assessment of the state of the proximal areas. Receiver operating characteristic curves were generated with the use of a maximum-likelihood method of fit. The area under the receiver operating characteristic curve was used as the index of diagnostic accuracy. The mean receiver operating characteristic areas for orthogonal and standard projection panoramic and bite-wing radiography to detect the presence of proximal dental caries were 0.68 ± 0.03, 0.69 ± 0.03, and 0.79 ± 0.03 respectively. Critical ratio analysis was used to compare the means for all possible pairings of imaging modalities. In overall performance, conventional bite-wing radiographs gave a significantly greater diagnostic yield for proximal caries than the Philips OrthOralix SD orthogonal or standard panoramic modalities (p < 0.05). The orthogonal projection did not improve diagnostic accuracy in the detection of proximal carious lesions compared with the standard projection.

Original languageEnglish (US)
Pages (from-to)195-207
Number of pages13
JournalOral Surgery, Oral Medicine, Oral Pathology
Volume77
Issue number2
DOIs
StatePublished - Feb 1994

ASJC Scopus subject areas

  • Pathology and Forensic Medicine
  • Dentistry(all)

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