Estudo da acurácia de dois diferentes softwares utilizados para a mensuração de imagens em TCFC

• Ano de defesa: 2019
• Autor(a) principal: Martinelli, Thiago
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade da Cidade de São Paulo; Brasil; Pós-Graduação; Programa de Pós-Graduação Mestrado em Radiologia; UNICID
• Palavras-chave em Português: Tomografia computadorizada de feixe cônico; Imagem tridimensional; Software; CNPQ::CIENCIAS DA SAUDE::ODONTOLOGIA::RADIOLOGIA ODONTOLOGICA
• Link de acesso: https://repositorio.cruzeirodosul.edu.br/handle/123456789/312

The evolution of the methods of acquisition and processing of images of medical and dental interest has enabled the acquisition of complementary exams able to sponsor the improvement of the diagnosis, elaboration of the treatment plan and treatment of diseases with greater efficiency and precision. With the creation and development of computed tomography (CT), dental surgeons were able to access three-dimensional images of anatomical structures of diagnostic and therapeutic interest. Software is data processing programs that perform specific tasks. In dentistry, software is used to manipulate images of diagnostic / therapeutic interest. CT software such as ImplantViewer3 (Anne Solutions Ltda, Sao Paulo, SP, Brazil, 2009) and OnDemand3D (Cybermed Inc, South Korea) use segmentation, automatic three-dimensional reconstruction and measurement of anatomical structures, features used in the present study for accuracy assessment. these two cone-beam computed tomography (CBCT) software. By marking points on specific anatomical structures in 10 jaws, assessing the agreement between these points and measuring the distances between these points, gold standard (GS) measurements were performed, performed directly on the anatomical parts of the sample, used to assess accuracy of measurements performed on ImplantViewer3 and OnDemand3D software. The software was compared using the Kruskal-Wallis test and the agreement between the two repetitions and between the software was evaluated using the Intraclass Correlation Coefficient (ICC). Good or excellent agreement between software was observed at all measurement points.