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Spatial and Temporal Characterization of Gliomas Using Radiomic Analysis

NCT06036381 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 1000

Last updated 2025-04-09

No results posted yet for this study

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.

Conditions

Interventions

DIAGNOSTIC_TEST

Radiomic analysis of imaging - MRI, PET, CT

Radiomic analysis of imaging will be undertaken as a standard of care to develop computational algorithms for patients treated in our institution.

Sponsors & Collaborators

  • Indian Statistical Institute, Kolkata

    collaborator UNKNOWN

  • Tata Memorial Centre

    lead OTHER

Principal Investigators

  • Dr. ARCHYA DASGUPTA, MD · Tata Memorial Hospital

Eligibility

Min Age
1 Year
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-02-15
Primary Completion
2026-12-31
Completion
2026-12-31

Countries

  • India

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06036381 on ClinicalTrials.gov