Detection of Apical Root Cracks Using Spectral Domain and Swept-source Optical Coherence Tomography

J Endod. 2017 Jul;43(7):1148-1151. doi: 10.1016/j.joen.2017.01.019. Epub 2017 Apr 14.

Abstract

Introduction: This study aimed to evaluate the ability of 2 optical coherence tomographic (OCT) systems to detect apical dentinal microcracks.

Methods: Twenty extracted human single-rooted mandibular incisors were selected. After root canal preparation with an R40 Reciproc file (VDW, Munich, Germany), the specimens presenting apical microcracks were identified using micro-computed tomographic (micro-CT) scanning as the gold standard. Then, the apical portions of the roots were imaged with spectral domain OCT (SD-OCT) and swept-source OCT systems, and the resulting images were blindly evaluated by 3 independent examiners to detect microcracks. The diagnostic performance of each OCT device was calculated, and statistical analysis was performed.

Results: Based on the micro-CT images, 12 (60%) roots presented dentinal microcracks in the apical region. The images generated by the OCT systems were able to show microcrack lines at the same location as the corresponding micro-CT cross sections. Although the diagnostic performance of the SD-OCT device was superior, there were no statistically significant differences between the 2 OCT devices (P > .05). Interexaminer agreement was substantial to almost perfect for the SD-OCT system and moderate to almost perfect for the swept-source OCT system, whereas intraexaminer agreement was substantial to almost perfect for both OCT devices.

Conclusions: The detection ability verified for both OCT systems renders them promising tools for the diagnosis of apical microcracks.

Keywords: Dentinal crack; Reciproc; diagnosis; micro-computed tomography; optical coherence tomography; root canal.

MeSH terms

  • Humans
  • Radiography, Dental / methods*
  • Tomography, Optical Coherence / methods*
  • Tooth Apex / diagnostic imaging
  • Tooth Apex / injuries*
  • Tooth Fractures / diagnostic imaging*