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PRISM: A Platform for Imaging in Precision Medicine.

Ashish Sharma1, Lawrence Tarbox2, Tahsin Kurc3

  • 1Emory University School of Medicine, Atlanta, GA.

JCO Clinical Cancer Informatics
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Summary

The Platform for Imaging in Precision Medicine (PRISM) enhances the Cancer Imaging Archive (TCIA) by enabling the collection and dissemination of diverse, high-quality imaging data for precision medicine research.

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Area of Science:

  • Medical Informatics
  • Cancer Research
  • Precision Medicine

Background:

  • Precision medicine research relies on understanding individual variability through large-scale data collections.
  • The Cancer Imaging Archive (TCIA) is a crucial resource for cancer imaging data.
  • Existing data resources need to evolve to meet the demands of translational research in imaging-based precision medicine.

Purpose of the Study:

  • To extend the types of data supported by TCIA to facilitate precision medicine research.
  • To enable TCIA to play a key role in collecting and disseminating state-of-the-art quantitative imaging data.
  • To meet the evolving needs of the cancer research community for advanced imaging data.

Main Methods:

  • Development of a modular technology platform, the Platform for Imaging in Precision Medicine (PRISM).
  • PRISM integrates services for managing radiology and pathology images, features, and clinical data.
  • The platform utilizes a semantic layer for data exploration and cohort creation, with tools for image curation, de-identification, and visualization, deployed as containerized microservices.

Main Results:

  • PRISM streamlines deployment and improves the efficiency and sustainability of TCIA.
  • The modular architecture of PRISM allows for piecemeal adoption by other data repositories.
  • PRISM provides services for image de-identification, quality control, and feature exploration, scaling image informatics for cancer research.

Conclusions:

  • PRISM modernizes, scales, and sustains the technology powering TCIA.
  • It enables repositories to leverage individual services like de-identification and quality control.
  • PRISM addresses the growing demands of integrating complex image data with other precision medicine data commons.