Using artificial intelligence to improve radiation treatment for brain tumors
Official title: Artificial Intelligence in Radiation Oncology for CNS Tumors
Run by Tata Memorial Centre · NCT06036394 · Data updated 2026-11-12
This study is testing whether using artificial intelligence can make radiation treatment for brain tumors more accurate and help doctors predict how well patients will respond to the treatment.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 1 Year and up |
| Sex | All |
| Enrollment | 6000 (estimated) |
| Sponsor | Tata Memorial Centre Academic / other |
| Drugs / interventions | radiation |
| Locations | 1 site (Mumbai, Maharashtra) |
| Status | Recruiting |
| Started | September 13, 2023 |
| Main results expected | September 2028 |
| Study ends | September 2028 |
| Registry record updated | April 9, 2025 |
| Trial ID | NCT06036394 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are patients with CNS tumors who received radiation treatment at Tata Memorial Centre between January 2010 and December 2022.
✕Probably not a fit
Patients who received radiation treatment outside of Tata Memorial Centre or those whose radiation planning was not conducted using the treatment planning system will not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study aims to enhance the treatment of central nervous system (CNS) tumors through the application of artificial intelligence in radiation oncology. By analyzing medical images and radiation planning data from patients treated at Tata Memorial Centre, the study will utilize advanced algorithms to automatically identify tumor areas and assess treatment responses. The research will involve a retrospective analysis of up to 6000 patients treated with radiotherapy between 2010 and 2022, focusing on improving the accuracy of tumor delineation and predicting patient outcomes. The study will also explore the potential of AI to classify tumors based on prognosis and identify complications arising from radiation therapy.
Why it matters
Potential benefit: If successful, this approach could lead to more precise radiation treatments, improving outcomes for patients with brain tumors.
How similar studies have gone: Other studies have shown promise in using artificial intelligence for radiation oncology, indicating potential success for this approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: • Patients with CNS tumors treated with radiation in TMC between January 2010 and December 2022. Exclusion Criteria: * RT treatment outside TMC. * Radiation planning not done in the treatment planning system (treated using clinical marking/ conventional simulator).
Where it's running
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Tata Memorial Hospital
Mumbai, Maharashtra, India Recruiting
Study contacts
- Principal investigator: Dr. ARCHYA DASGUPTA, MD — Tata Memorial Hospital
- Study coordinator: Dr ARCHYA DASGUPTA, MD
- Email: archya1010@gmail.com
- Phone: 91-22-24177000
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.