title: Accuracy of volumetric measurement of simulated root resorption lacunas based on cone beam computed tomography.
abstract: OBJECTIVE
  To evaluate the accuracy of volumetric measurement of simulated root resorption cavities based on cone beam computed tomography (CBCT), in comparison with that of Micro-computed tomography (Micro-CT) which served as the reference.
  
  
  METHODS
  The State Key Laboratory of Oral Diseases at Sichuan University.
  
  
  METHODS
  Thirty-two bovine teeth were included for standardized CBCT scanning and Micro-CT scanning before and after the simulation of different degrees of root resorption. The teeth were divided into three groups according to the depths of the root resorption cavity (group 1: 0.15, 0.2, 0.3 mm; group 2: 0.6, 1.0 mm; group 3: 1.5, 2.0, 3.0 mm). Each depth included four specimens. Differences in tooth volume before and after simulated root resorption were then calculated from CBCT and Micro-CT scans, respectively. The overall between-method agreement of the measurements was evaluated using the concordance correlation coefficient (CCC).
  
  
  RESULTS
  For the first group, the average volume of resorption cavity was 1.07 mm(3) , and the between-method agreement of measurement for the volume changes was low (CCC = 0.098). For the second and third groups, the average volumes of resorption cavities were 3.47 and 6.73 mm(3) respectively, and the between-method agreements were good (CCC = 0.828 and 0.895, respectively).
  
  
  CONCLUSIONS
  The accuracy of 3-D quantitative volumetric measurement of simulated root resorption based on CBCT was fairly good in detecting simulated resorption cavities larger than 3.47 mm(3), while it was not sufficient for measuring resorption cavities smaller than 1.07 mm(3) . This method could be applied in future studies of root resorption although further studies are required to improve its accuracy.
authors: State Key Laboratory of Oral Diseases, Sichuan University, Chengdu, China.
authors: Y
authors: Y
authors: Wang
authors: S
authors: S
authors: He
authors: Y
authors: Y
authors: Guo
authors: S
authors: S
authors: Wang
authors: S
authors: S
authors: Chen
mesh_terms: D000465:Algorithms; D000818:Animals; D002417:Cattle; D054893:Cone-Beam Computed Tomography / Q000706:statistics & numerical data*; D007091:Image Processing, Computer-Assisted / Q000706:statistics & numerical data; D021621:Imaging, Three-Dimensional / Q000706:statistics & numerical data; D011858:Radiographic Magnification / Q000706:statistics & numerical data; D011897:Random Allocation; D012391:Root Resorption / Q000000981:diagnostic imaging*; D019227:Tooth Apex / Q000000981:diagnostic imaging; D014092:Tooth Root / Q000000981:diagnostic imaging; D055114:X-Ray Microtomography / Q000706:statistics & numerical data
keywords: Micro-computed tomography; cone beam computed tomography; tooth root resorption