Vertical bone measurements from cone beam computed tomography images using different software packages

• Autor(a) principal: VASCONCELOS,Taruska Ventorini
• Data de Publicação: 2015
• Outros Autores: NEVES,Frederico Sampaio, MORAES,Lívia Almeida Bueno, FREITAS,Deborah Queiroz
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Brazilian Oral Research
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-83242015000100236
• topic: Medical Informatics Applications; Cone-Beam Computed Tomography; Dental Implants; Mandible

This article aimed at comparing the accuracy of linear measurement tools of different commercial software packages. Eight fully edentulous dry mandibles were selected for this study. Incisor, canine, premolar, first molar and second molar regions were selected. Cone beam computed tomography (CBCT) images were obtained with i-CAT Next Generation. Linear bone measurements were performed by one observer on the cross-sectional images using three different software packages: XoranCat®, OnDemand3D® and KDIS3D®, all able to assess DICOM images. In addition, 25% of the sample was reevaluated for the purpose of reproducibility. The mandibles were sectioned to obtain the gold standard for each region. Intraclass coefficients (ICC) were calculated to examine the agreement between the two periods of evaluation; the one-way analysis of variance performed with the post-hoc Dunnett test was used to compare each of the software-derived measurements with the gold standard. The ICC values were excellent for all software packages. The least difference between the software-derived measurements and the gold standard was obtained with the OnDemand3D and KDIS3D (-0.11 and -0.14 mm, respectively), and the greatest, with the XoranCAT (+0.25 mm). However, there was no statistical significant difference between the measurements obtained with the different software packages and the gold standard (p> 0.05). In conclusion, linear bone measurements were not influenced by the software package used to reconstruct the image from CBCT DICOM data.