Highlights ■ The molecular test according to the WHO classification of CNS tumors (gliomas) was performed in 100% (172) of patients. ■ Education on chemotherapy and informed consent for patients with brain tumors was carried out for 100% (130) of the patients who had an indication for chemotherapy treatment. ■ Approximately 87% of the patients with gliomas underwent postoperative cranial MRI. ■ A multidisciplinary approach, including molecular testing, was used for 35% of patients with glioma. ■ Thromboembolic events after […]

ABSTRACT Objective To develop a computational algorithm applied to magnetic resonance imaging for automatic segmentation of brain tumors. Methods A total of 130 magnetic resonance images were used in the T1c, T2 and FSPRG T1C sequences and in the axial, sagittal and coronal planes of patients with brain cancer. The algorithms employed contrast correction, histogram normalization and binarization techniques to disconnect adjacent structures from the brain and enhance the region of interest. Automatic segmentation was performed through detection by coordinates […]

OBJECTIVE: To propose an automatic brain tumor segmentation system. METHODS: The system used texture characteristics as its main source of information for segmentation. RESULTS: The mean correct match was 94% of correspondence between the segmented areas and ground truth. CONCLUSION: Final results showed that the proposed system was able to find and delimit tumor areas without requiring any user interaction.

OBJECTIVE: The objective was to establish a pattern of tumor growth of the C6 model of glioblastoma multiform in Wistar rats via magnetic resonance imaging (MRI) for the subsequent verification of tumor volume reduction due to magnetic hyperthermia therapy. METHODS: Young male Wistar rats weighing between 250 and 300 g were used for the C6 model. After the rates were anesthetized (55 mg/kg ketamine and 11 mg/kg xylazine), C6 lineage tumorigenic cells suspended in culture medium (10(5) cells in 10 […]