MedTrace Logo

Artificial Intelligence in CNS Radiation Oncology

NCT06036394 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 6000

Last updated 2025-04-09

No results posted yet for this 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.

Conditions

  • CNS Tumor

Interventions

DIAGNOSTIC_TEST

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

Sponsors & Collaborators

  • Bhabha Atomic Research Centre (BARC)

    collaborator UNKNOWN

  • Tata Memorial Centre

    lead OTHER

Principal Investigators

  • Dr. ARCHYA DASGUPTA, MD · Tata Memorial Hospital

Eligibility

Min Age
1 Year
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-09-13
Primary Completion
2028-09-30
Completion
2028-09-30

Countries

  • India

Study Locations

More Related Trials

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 NCT06036394 on ClinicalTrials.gov