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Recruiting NCT06036394

Artificial Intelligence in CNS Radiation Oncology

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Plain-language summary for patients

Trial Parameters

Condition CNS Tumor
Sponsor Tata Memorial Centre
Study Type OBSERVATIONAL
Phase N/A
Enrollment 6,000
Sex ALL
Min Age 1 Year
Max Age N/A
Start Date 2023-09-13
Completion 2028-09
Interventions
The images (CT, MRI, PET) used for RT planning, mid-treatment imaging as part of IGRT or disease evaluation, and response assessment/ surveillance post-RT

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Brief Summary

Radiotherapy involves the use of high-energy X-rays, which can be used to stop the growth of tumor cells. Radiotherapy constitutes an essential avenue in the treatment of brain tumors. The modern techniques of radiotherapy involve radiation planning techniques guided by computer algorithms aimed to deliver high doses of radiation to the areas of brain with tumors and limit the doses to surrounding normal structures. Artificial intelligence uses advanced analytical processes aided by computational analysis, which can be undertaken on the medical images, and radiation planning process. We plan to use artificial intelligence techniques to automatically delineate areas of the brain with tumor and other normal structures as identified from images. Also, we will use artificial intelligence on the radiation dose images and other images done for radiation treatment to classify tumors with good or bad prognoses, identify patients developing radiation complications, and detect responses after treatment.

Eligibility 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).

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