Effects of exposure parameters and slice thickness on detecting clear and unclear mandibular canals using cone beam CT

Gainer R. Jasa, Mayumi Shimizu, Kazutoshi Okamura, Kenji Tokumori, Yohei Takeshita, Warangkana Weerawanich, Kazunori Yoshiura

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7 Citations (Scopus)

Abstract

Objectives: The purpose of this study was to clarify the effects of exposure parameters and image-processing methods when using CBCT to detect clear and unclear mandibular canals (MCs). Methods: 24 dry half mandibles were divided into 2 groups with clear and unclearMCs based on a previous CBCT study. Mandibles were scanned using a CBCT system with varying exposure parameters (tube voltages 60 kV, 70 kV and 90 kV; and tube currents 2mA, 5mA, 10mA and 15mA) to obtain a total of 144 scans. The images were processed with different slice thicknesses using ImageJ software (National Institutes of Health, Bethesda, MD). Five radiologists evaluated the cross-sectional images of the first molar region to detect the MCs. The diagnostic accuracy of varying exposure parameters and image-processing conditions was compared with the area under the curve (Az) in receiver-operating characteristic analysis. Results: The Az values for clear MCs were higher than those for unclear MCs (p<0.0001). With increasing exposure voltages and currents, Az values increased, but no significant differences were found with high voltages and currents in clear MCs (p=1.0000 and p= 0.9340). The Az values of serial images were higher than those of overlaid images (p< 0.0001), and those for thicker slices were higher than those for thinner slices (p<0.0001). Conclusions: Our findings indicate that detection of unclear MCs requires either higher exposure parameters or processing of the images with thicker slices. To detect clear MCs, lower exposure parameters can be used.

Original languageEnglish
Article number20160315
JournalDentomaxillofacial Radiology
Volume46
Issue number4
DOIs
Publication statusPublished - 2017
Externally publishedYes

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Keywords

  • CBCT
  • Computer-assisted image processing
  • Image quality
  • Mandible

ASJC Scopus subject areas

  • Otorhinolaryngology
  • Dentistry(all)
  • Radiology Nuclear Medicine and imaging

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