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  • Imaging Features, and Correlations with Genomic and Clinical Data from the TCGA Ovarian Radiology Research Group (TCGA-OV-Radiogenomics)

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Description

This study was a multi-reader, multi-institutional, IRB-approved retrospective analysis of 93 HGSOC patients with abdominal and pelvic CT scans prior to primary debulking that were available through The Cancer Imaging Archive (TCIA). Eight radiologists from The Cancer Genome Atlas-Ovarian Cancer (TCGA-OV) Imaging Research Group developed and subsequently independently recorded the following CT features in each patient: primary ovarian mass(es) characteristics (if present), presence and distribution of peritoneal tumor spread, lymphadenopathy, and distant metastases. Inter-observer agreement for the CT features was assessed, as were associations of these features with time-to-disease progression (TTP) and CLOVAR subtypes and abilities of combinations of these features to predict TTP and CLOVAR subtypes. Results of analyzing this data are published in a manuscript titled Radiogenomics of High-Grade Serous Ovarian Cancer: Multi- Reader Multi-Institutional Study from The Cancer Genome Atlas-Ovarian Cancer (TCGA-OV) Imaging Research Group.

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Localtab Group



Localtab
activetrue
titleData Access

Data Access

Click the Download  button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retrieverthe data.


Data TypeDownload all or Query/Filter
Images (DICOM)

(Needs NBIA Data Retriever)

Full Radiologist Assessments of Image Features  

Assessment files

(CSV)

Feature DataImage Modified

Consensus Radiologist Assessments of Image Features  (CSV)

MeasurementsImage Modified

Clinical data (CSV)

Genomic sub-type data (CSV)


Please contact help@cancerimagingarchive.net  with any questions regarding usage.

Collections Used in this Third Party Analysis
Below is a list of the Collections used in these analyses:




Localtab
titleDetailed Description

Detailed Description

Data available for download includes:

  • DICOM images
  • Radiologist Assessments of Image Features
  • Clinical Data
    • Genomic Data





    Localtab
    titleCitations & Data Usage Policy

    Citations & Data Usage Policy 

    These collections are freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License. Questions may be directed to help@cancerimagingarchive.net. Please be sure to acknowledge both this data set and TCIA in publications by including the following citations in your work:

    Public collection license

    Info
    titleData Citation

    Vargas, A., Alberto; Huang, Erich; Lakhman, Yulia; Ippolito, Joe; Bhosale, Priya; Mellnick, Vincent; Shinagare, Atul; Anello, Maria; Kirby, Justin; Fevrier-Sullivan, Brenda; Freymann, John; Jaffe, Carl; Sala, Evis,E., Lakhman, Y., Ippolito, J., Bhosale, P., Mellnick, V., Shinagare, A., Anello, M., Kirby, J., Fevrier-Sullivan, B., Freymann, J., Jaffe, C., & Sala, E. (2016). Imaging Features, and Correlations with Genomic and Clinical Data from the TCGA Ovarian Radiology Research Group. The Cancer Imaging Archive. http https://doi.org/10.7937/K9/TCIA.2016.PSJOXM47


    Info
    titleTCIA Publication Citation

    Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. (paper)

    In addition to the dataset citation above, please be sure to cite the following if you utilize these data in your research:

    Info
    titlePublication Citation
    Vargas HA, Huang EP, Lakhman Y, Ippolito JE, Bhosale P, Mellnick V, Shinagare AB, Anello M, Kirby J, Fevrier-Sullivan B, Freymann J, Jaffe CC, Sala E

    Vargas, H. A., Huang, E. P., Lakhman, Y., Ippolito, J. E., Bhosale, P., Mellnick, V., Shinagare, A. B., Anello, M., Kirby, J., Fevrier-Sullivan, B., Freymann, J., Jaffe, C. C., & Sala, E. (2017). Radiogenomics of High-Grade Serous Ovarian Cancer: Multireader Multi-Institutional Study from the Cancer Genome Atlas Ovarian Cancer Imaging Research Group. Radiology

    . 2017 Jun 22:161870. doi:

    , 285(2), 482-492. https://doi.org/10.1148/radiol.2017161870

    . (link)


    Info
    titleTCIA Citation

    Clark, K., Vendt, B., Smith, K., Freymann, J., Kirby, J., Koppel, P., Moore, S., Phillips, S., Maffitt, D., Pringle, M., Tarbox, L., & Prior, F. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. Journal of Digital Imaging, 26(6), 1045–1057. https://doi.org/10.1007/s10278-013-9622-7


    Other Publications Using This Data

    TCIA maintains a list of publications that leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk.




    Localtab
    titleVersions

    Version 1 (Current):

    2019

    2016/

    07

    08/

    11

    02


    Assessment files
    Data TypeDownload all or Query/Filter
    Images (DICOM)

    Image Removed

    Image Added

    Full Radiologist Assessments of Image Features  

    (CSV)

    Feature DataImage Modified

    Consensus Radiologist Assessments of Image Features  (CSV)

    MeasurementsImage Modified

    Clinical data (CSV)

    Genomic sub-type data (CSV)