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Cancer therapies are various modes of treatment, such as surgery, radiation therapy, and chemotherapy that are administered to cancer patients.
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Leveraging Radiotherapy Data for Precision Oncology: Veterans Affairs Granular Radiotherapy Information Database.

Evangelia Katsoulakis1,2, Cecelia J Madison1, Rishabh Kapoor3

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This summary is machine-generated.

The Veterans Affairs National Radiation Oncology Program developed Granular Radiotherapy Information Database (GRID) to integrate radiotherapy data. This initiative enhances understanding of cancer treatment patterns and outcomes, improving research and data analysis.

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Area of Science:

  • Oncology
  • Medical Informatics
  • Data Science

Background:

  • Integrating radiation oncology data with other clinical records is challenging due to disparate software, data complexity, and inconsistent encoding.
  • The Veterans Affairs (VA) National Radiation Oncology Program (NROP) faces difficulties in consolidating radiotherapy information for research and analysis.

Purpose of the Study:

  • To develop and implement the Granular Radiotherapy Information Database (GRID) for integrating radiotherapy data across the VA.
  • To improve understanding of cancer treatment patterns, outcomes, and enhance research capabilities.

Main Methods:

  • A retrospective cohort analysis using data from the VA Radiation Oncology Quality Surveillance Program (VAROQS).
  • Extraction of key radiation oncology data elements from Digital Imaging and Communications in Medicine Radiotherapy extension (DICOM-RT) files.
  • Data integration into a central database and transfer to the VA's Corporate Data Warehouse (CDW) for linkage with cancer registry and tumor sequencing data.

Main Results:

  • A cohort of 1,568 patients was analyzed, with 766 having DICOM-RT data.
  • Successful linkage of all cases to the CDW; 18.8% of VAROQS cases were not in the existing VA cancer registry.
  • VAROQS data provided accurate treatment details often missing or erroneous in the cancer registry; tumor sequencing data available for ~5% of cases.

Conclusions:

  • The NROP's GRID initiative successfully integrates VA radiotherapy data with other clinical datasets.
  • GRID is poised to become a significant resource for radiation oncology data, merged with clinical and genomic information.
  • This integrated data will support large-scale quality assurance, research, and scientific discovery.