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  • 标题:Comparison of the diagnostic performance of panoramic and occlusal radiographs in detecting submandibular sialoliths
  • 本地全文:下载
  • 作者:Kim, Jun Ho ; Aoki, Eduardo Massaharu ; Cortes, Arthur Rodriguez Gonzalez
  • 期刊名称:Imaging Science in Dentistry
  • 印刷版ISSN:2233-7822
  • 出版年度:2016
  • 卷号:46
  • 期号:2
  • 页码:87-92
  • DOI:10.5624/isd.2016.46.2.87
  • 语种:English
  • 出版社:Korean Academy of Oral and Maxillofacial Radiology
  • 摘要:Purpose

    The aim of this study was to assess and compare the diagnostic performance of panoramic and occlusal radiographs in detecting submandibular sialoliths.

    Materials and Methods

    A total of 40 patients (20 cases and 20 controls) were included in this retrospective study. Cases were defined as subjects with a submandibular sialolith confirmed by computed tomography (CT), whereas controls did not have any submandibular calcifications. Three observers with different expertise levels assessed panoramic and occlusal radiographs of all subjects for the presence of sialoliths. Intraobserver and interobserver agreement were assessed using the kappa test. Sensitivity, specificity, accuracy, positive and negative predictive values, and the diagnostic odds ratio of panoramic and occlusal radiographs in screening for submandibular sialoliths were calculated for each observer.

    Results

    The sensitivity and specificity values for occlusal and panoramic radiographs all ranged from 80% to 100%. The lowest values of sensitivity and specificity observed among the observers were 82.6% and 80%, respectively (P=0.001). Intraobserver and interobserver agreement were higher for occlusal radiographs than for panoramic radiographs, although panoramic radiographs demonstrated a higher overall accuracy.

    Conclusion

    Both panoramic and occlusal radiographic techniques displayed satisfactory diagnostic performance and should be considered before using a CT scan to detect submandibular sialoliths.

  • 关键词:Radiography, Panoramic; Radiography, Dental; Salivary gland calculi; Multidetector Computed Tomography
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