Artificial Intelligence in CNS Radiation Oncology

Condition(s) studied

Investigational drug(s) / intervention(s)

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: 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

Study 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

Primary outcome measure(s)

• Autosegmentation of organs at risk and target volumes. — 5 years
  The agreement between manual segmentation and automated segmentation using an artificial intelligence-based model will be assessed using Dice coefficient of similarity.

Trial sites (1)

More Tata Memorial Centre trials in India

Other trials for the same condition