Glioma Adaptive Radiotherapy With Development of an Artificial Intelligence Workflow

NCT06492486 · Status: NOT_YET_RECRUITING · Phase: PHASE2 · Type: INTERVENTIONAL · Enrollment: 60

Last updated 2025-09-16

No results posted yet for this 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.

Conditions

  • Diffuse Glioma
  • Glioblastoma
  • Adaptive Radiotherapy
  • Artificial Intelligence

Interventions

RADIATION

Adaptive radiotherapy

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

Sponsors & Collaborators

  • Tata Memorial Centre

    lead OTHER

Principal Investigators

  • Archya Dasgupta · Tata Memorial Centre

Study Design

Allocation
NON_RANDOMIZED
Purpose
TREATMENT
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
70 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-11-30
Primary Completion
2028-07-30
Completion
2028-07-30

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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 NCT06492486 on ClinicalTrials.gov