The Veterans Affairs Precision Oncology Data Repository, a Clinical, Genomic, and Imaging Research Database

Patterns
Danne ElbersNhan Do

Abstract

The Veterans Affairs Precision Oncology Data Repository (VA-PODR) is a large, nationwide repository of de-identified data on patients diagnosed with cancer at the Department of Veterans Affairs (VA). Data include longitudinal clinical data from the VA's nationwide electronic health record system and the VA Central Cancer Registry, targeted tumor sequencing data, and medical imaging data including computed tomography (CT) scans and pathology slides. A subset of the repository is available at the Genomic Data Commons (GDC) and The Cancer Imaging Archive (TCIA), and the full repository is available through the Veterans Precision Oncology Data Commons (VPODC). By releasing this de-identified dataset, we aim to advance Veterans' health care through enabling translational research on the Veteran population by a wide variety of researchers.

References

Jun 18, 2003·International Journal of Medical Informatics·Steven H BrownRobert M Kolodner
Jun 27, 2012·Military Medicine·Leah L ZulligMichael J Kelley
Jul 26, 2013·Journal of Digital Imaging·Kenneth ClarkFred Prior
Sep 28, 2013·Nature Genetics·UNKNOWN Cancer Genome Atlas Research NetworkJoshua M Stuart
Apr 29, 2014·Translational Oncology·Bradley J EricksonJohn Perry
Mar 16, 2016·Scientific Data·Mark D WilkinsonBarend Mons
May 25, 2016·Scientific Data·Alistair E W JohnsonRoger G Mark
Sep 9, 2016·Science·Dinah S SingerElizabeth Jaffee
Sep 23, 2016·The New England Journal of Medicine·Robert L GrossmanLouis M Staudt
May 5, 2018·Journal of Digital Imaging·Sébastien Jodogne

❮ Previous
Next ❯

Methods Mentioned

BETA
biopsies

Software Mentioned

Gen3
Orthanc
BCMAMedicationLog
Clinical Trials Processor
Picture
VA
VPODC
Genomic Data Commons
PODR

Related Concepts

Related Feeds

Cancer Imaging

Imaging techniques, including CT and MR, have become essential to tumor detection, diagnosis, and monitoring. Here is the latest research on cancer imaging.