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Clinical Trials in India / NCT06492486
Recruiting Phase 2

Glioma Adaptive Radiotherapy With Development of an Artificial Intelligence Workflow

NCT06492486 · tracked via the Priya Life Science India tracker
Sponsor
Tata Memorial Centre
Phase
Phase 2
Started
2026-07-27
Last updated
2026-08-17

Condition(s) studied

Diffuse GliomaGlioblastomaAdaptive RadiotherapyArtificial Intelligence

Investigational drug(s) / intervention(s)

Adaptive radiotherapy

Adaptive radiotherapy: Volumetric and biological adaptive radiotherapy will be delivered based on interval imaging with MRI and PET scan during treatment.

Study summary

Gliomas are common primary brain tumors in adults. Gliomas can be classified into different types based on tumor grade, histopathological features, and molecular characteristics. The common types of diffuse gliomas include glioblastoma, astrocytoma, and oligodendroglioma. The standard treatment for diffuse gliomas includes surgery followed by radiation and chemotherapy. As per standard institutional practice, a uniform dose of radiation is delivered to the disease area and MRI is done before and after the treatment. In this study, MRI and PET scan will be done before starting the treatment and standard dose of radiation will be delivered. The interval imaging will be done twice during the course of treatment with MRI and PET, followed by dose modifications. The CT, MRI, and PET will be combined. Based on PET imaging, specific dose will be altered and delivered to specific areas. Dose modification will be done with the help of artificial intelligence. Participant's assessment will be done at regular intervals.

Modifications in radiation plans are done based on the changes in disease seen in scans is likely to improve the accuracy of RT treatments. Dose modifications based on imaging to resistant areas will help achieve better tumor control, reduce treatment-related toxicities, precise delivery of the RT and adjusting doses to the organs at risk (OAR) and changes in disease leading to better treatment compliance. Creating an artificial intelligence framework in radiation oncology promises to improve quality of workflow, treatment planning and RT delivery.

The aim of the study is to develop an artificial intelligence workflow for treatment of glioma with adaptive radiotherapy. This study will be conducted in Tata Memorial Centre on a population of 60 patients for a duration of 2 years. The total study duration is 4 years.

Eligibility

Sex
ALL
Min age
18 Years
Max age
70 Years
Healthy volunteers
No
Inclusion Criteria: * Histological diagnosis of diffuse glioma. Patients with IDH-negative GBM (stratum A) and IDH-mutant glioma (astrocytoma or oligodendroglioma) need radiotherapy (stratum B). Age: 18-70 years. Karnofsky Performance Scale (KPS) ≥60 Exclusion Criteria: * Multifocal or multicentric disease Not eligible for radical intent radiation. IDH status is unknown or uninterpretable (IHC or gene sequencing). Use of prior radiotherapy to the head-neck region or brain or chemotherapy. Contraindication/unable to undergo MRI or PET scan during radiation.

Primary outcome measure(s)

Trial sites (1)

FacilityCityRegionStatus
Tata Memorial Hospital Mumbai Maharatshtra Recruiting

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Other trials for the same condition

Official registry record

This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.

View NCT06492486 on ClinicalTrials.gov ↗ ← All trials in India