Spatial and Temporal Characterization of Gliomas Using Radiomic Analysis
NCT06036381
Summary
Glioma are type of primary brain tumors arising within the substance of brain. Different type of gliomas are seen which are classified depending upon pathological examination and advanced molecular techniques, which help to determine the aggressiveness of the tumor and outcomes. Artificial intelligence uses advanced analytical process aided by computer which can be undertaken on the medical images. We plan to use artificial intelligence techniques to identify the abnormal areas within the brain representing tumor from the radiological images. Also, similar approach will be undertaken to classify gliomas with good or bad prognosis, to differentiate glioma from other type of brain tumors, and to detect response after treatment.
Eligibility
Inclusion Criteria: * Patients with glioma or glioma-mimicking pathology with imaging available in TMC between January 2010 and December 2022. Exclusion Criteria: * Imaging done outside TMC. * Motion artifacts or other artifacts causing image degradation. * Size of tumor or region of interest \< 1 cm in the largest dimension
Conditions2
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NCT06036381