Imaging study using computer analysis to characterize brain gliomas
Uses computer analysis of brain scans to study gliomas, a type of brain tumor.
Plain-language title generated from the registry record
Registry title: Spatial and Temporal Characterization of Gliomas Using Radiomic Analysis
Key facts
- Where
- Mumbai, IndiaSee the site
Where in India
- Tata Memorial HospitalMumbai, IndiaTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Tata Memorial Centre
- Trial code
- NCT06036381
- Record updated
- 9 April 2025
- Original description
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.Read full original descriptionShow less
Spatial and Temporal Characterization of Gliomas Using Radiomic Analysis
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.
Inclusion: Patients with glioma or glioma-mimicking pathology with imaging available in TMC between January 2010 and December 2022.
Exclusion: 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.