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Segmentation of Brain Tumor from pre-operative MRI Scan for predicting Brain Tumor grades

EXPLORING APPLICATION OF RADIOMICS IN BRAIN TUMOR ASSESSMENT AND TREATMENT

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2019/08/020982
Enrollment
300
Registered
2019-08-30
Start date
Unknown
Completion date
Unknown
Last updated
2021-11-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Health Condition 1: F01-F99- Mental, Behavioral and Neurodevelopmental disorders

Interventions

None listed

Sponsors

None listed

Eligibility

Inclusion criteria

Inclusion criteria: All patients undergoing MRI scan for any lesions in the brain like tumors, infarcts , hemorrhagic clots, cysts etc.

Exclusion criteria

Exclusion criteria:

Design outcomes

Primary

MeasureTime frame
Outcomes are analyzed in terms of radiological criteriaTimepoint: 6 months—

Secondary

MeasureTime frame
â?¢ Automatic Segmentation and identification of brain tumors from radiological images â?¢ Design a low cost robust non-invasive classification tool to predict tumor grade based on preoperative MRI scans using Radiomics  â?¢ Automatic segmentation of Edema and volumetric analysisTimepoint: 2 years—

Countries

India

Contacts

Public ContactDivya B

Kasturba Medical College, Manipal

girish.menon@manipal.edu

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 4, 2026