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Int Endod J ; 46(6): 538-46, 2013 Jun.
Article in English | MEDLINE | ID: mdl-23216253

ABSTRACT

AIM: To compare the accuracy of cone beam computed tomography (CBCT) and micro-computed tomography (µCT) when measuring the volume of bone cavities. METHODOLOGY: Ten irregular-shaped cavities of varying dimensions were created in bovine bone specimens using a rotary diamond bur. The samples were then scanned using the Accuitomo 3D CBCT scanner. The scanned information was converted to the Digital Imaging and Communication in Medicine (DICOM) format ready for analysis. Once formatted, 10 trained and calibrated examiners segmented the scans and measured the volumes of the lesions. Intra/interexaminer agreement was assessed by each examiner re-segmenting each scan after a 2-week interval. Micro-CT scans were analysed by a single examiner. To achieve a physical reading of the artificially created cavities, replicas were created using dimensionally stable silicone impression material. After measuring the mass of each impression sample, the volume was calculated by dividing the mass of each sample by the density of the set impression material. Further corroboration of these measurements was obtained by employing Archimedes' principle to measure the volume of each impression sample. Intraclass correlation was used to assess agreement. RESULTS: Both CBCT (mean volume: 175.9 mm3) and µCT (mean volume: 163.1 mm3) showed a high degree of agreement (intraclass correlation coefficient >0.9) when compared to both weighed and 'Archimedes' principle' measurements (mean volume: 177.7 and 182.6 mm3, respectively). CONCLUSION: Cone beam computed tomography is an accurate means of measuring volume of artificially created bone cavities in an ex vivo model. This may provide a valuable tool for monitoring the healing rate of apical periodontitis; further investigations are warranted.


Subject(s)
Cone-Beam Computed Tomography/statistics & numerical data , Periapical Periodontitis/diagnostic imaging , X-Ray Microtomography/statistics & numerical data , Animals , Bone and Bones/diagnostic imaging , Bone and Bones/pathology , Cattle , Dental Impression Materials/chemistry , Image Processing, Computer-Assisted/statistics & numerical data , Observer Variation , Periapical Periodontitis/pathology , Polyvinyls/chemistry , Siloxanes/chemistry
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