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. 2017 Sep 19:4:170124.
doi: 10.1038/sdata.2017.124.

The public cancer radiology imaging collections of The Cancer Imaging Archive

Fred Prior  1 , Kirk Smith  1 , Ashish Sharma  2 , Justin Kirby  3 , Lawrence Tarbox  1 , Ken Clark  4 , William Bennett  1 , Tracy Nolan  1 , John Freymann  3
Affiliations

The public cancer radiology imaging collections of The Cancer Imaging Archive

Fred Prior et al. Sci Data. .

Abstract

The Cancer Imaging Archive (TCIA) is the U.S. National Cancer Institute's repository for cancer imaging and related information. TCIA contains 30.9 million radiology images representing data collected from approximately 37,568 subjects. This data is organized into collections by tumor-type with many collections also including analytic results or clinical data. TCIA staff carefully de-identify and curate all incoming collections prior to making the information available via web browser or programmatic interfaces. Each published collection within TCIA is assigned a Digital Object Identifier that references the collection. Additionally, researchers who use TCIA data may publish the subset of information used in their analysis by requesting a TCIA generated Digital Object Identifier. This data descriptor is a review of a selected subset of existing publicly available TCIA collections. It outlines the curation and publication methods employed by TCIA and makes available 15 collections of cancer imaging data.

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Figures

Figure 1
Figure 1. The Head-Neck Cetuximab landing page is an example of the standard landing page format referenced by each data citation.
Data may be accessed by clicking the Download button. Image metadata may also be accessed using the associated Download button for DICOM Metadata Digest (CSV).
See this image and copyright information in PMC

Dataset use reported in

  • doi: 10.1593/tlo.13862

References

Data Citations

    1. Bosch W. R., Straube W. L., Matthews J.W., Purdy J. A. 2015. The Cancer Imaging Archive. http://doi.org/10.7937/K9/TCIA.2015.7AKGJUPZ - DOI
    1. Smith K. 2015. The Cancer Imaging Archive. http://dx.doi.org/10.7937/K9/TCIA.2015.NWTESAY1 - DOI
    1. Armato S. G. , III2015. The Cancer Imaging Archive. http://doi.org/10.7937/K9/TCIA.2015.LO9QL9SX - DOI
    1. Zhao B. 2015. The Cancer Imaging Archive. http://doi.org/10.7937/K9/TCIA.2015.08A1IXOO - DOI
    1. Gavrielides M. A. 2015. The Cancer Imaging Archive. http://doi.org/10.7937/K9/TCIA.2015.ORBJKMUX - DOI

References

    1. Prior F. W. et al. in Proc. Engineering in Medicine and Biology Society (EMBC) 1282–1285 (35th Annual International Conference of the IEEE:Osaka, 2013). - PMC - PubMed
    1. Kalpathy-Cramer J., Freymann J. B., Kirby J. S., Kinahan P. E. & Prior F. W. Quantitative Imaging Network: Data Sharing and Competitive AlgorithmValidation Leveraging The Cancer Imaging Archive. Transl. Oncol 7, 147–152 (2014). - PMC - PubMed
    1. Kathiravelu P. & Sharma A. in Proc. Workshop on Connected Health at Big Data Era (BigCHat’15) 1–6 (ACM: Sydney, Australia, 2015).
    1. Bourne P. E. DOIs for DICOM Raw Images: Enabling Science Reproducibility. Radiology 275, 3–4 (2015). - PMC - PubMed
    1. Moore S. M. et al. De-identification of Medical Images with Retention of Scientific Research Value. RadioGraphics 35, 727–735 (2015). - PMC - PubMed

Publication types

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