Artificial Intelligence in CNS Radiation Oncology
Artificial Intelligence in Radiation Oncology for CNS Tumors
Tata Memorial Centre
6,000 participants
Sep 13, 2023
OBSERVATIONAL
Conditions
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
Inclusion Criteria1
- • Patients with CNS tumors treated with radiation in TMC between January 2010 and December 2022.
Exclusion Criteria2
- RT treatment outside TMC.
- Radiation planning not done in the treatment planning system (treated using clinical marking/ conventional simulator).
Interventions
The radiation plans and dose-volume histogram will be obtained from TPS. All the images and radiation-related data will be downloaded from the PACS and TPS, applying anonymization filters. Clinical features (patient, disease, treatment-related characteristics, and outcomes) will be extracted by review of electronic medical records. Imaging pre-processing will be done, which will include skull stripping and registration across different modalities (e.g., MRI and CT) or different sequences(e.g., T1C, T2W, ADC) will be done using rigid or deformable algorithms as suited best for the modality
Locations(1)
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NCT06036394