Improved odontoma diagnosis via enamel mask in cone beam computed tomography
DOI:
https://doi.org/10.60094/RID.20240302-38Keywords:
Odontoma, cone beam computed tomography, softwareAbstract
Objective: To evaluate the effectiveness of using the enamel mask in InVesalius software to detect hyperdense regions in cone beam computed tomography (CBCT) images of enamel foci in complex odontomas. Materials and methods: 25 CBCT scans of patients who underwent surgery and histopathological diagnosis of complex odontomas were analyzed using the InVesalius software, where segmentation was used to select the enamel foci in the lesion. A descriptive statistical analysis of the data was performed to evaluate the data dispersion. Results: The threshold image segmentation technique was effective in identifying areas of enamel in odontogenic lesions. The use of the enamel mask allowed a better visualization of the hyperdense areas in the images, facilitating the diagnosis and helping to identify lesions that present similar tomographic characteristics. Conclusion: The use of the InVesalius software associated with the enamel mask proved to be an effective tool in the detection of hyperdense regions associated with complex odontomas.
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Copyright (c) 2024 Antonione Santos Bezerra Pinto , Maria Ângela Arêa Leão Ferraz, Carlos Alberto Monteiro Falcão, Moara e Silva Conceição Pinto, Luana Leal Cosmo Cardoso, André Luca Araujo de Sousa
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