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Localtab Group


Localtab
activetrue
titleData Access

Data Access

 Choosing the Download option will provide you with a file to launch the TCIA Download Manager to download the entire collection. If you want to browse or filter the data to select only specific scans/studies please use the Search option.

Data TypeDownload all or Query/Filter
Images (DICOM, XX 60.4 GB)
Clinical (e.g. patient demographics, outcomes)

Click the Versions tab for more info about data releases.


Localtab
titleDetailed Description

Detailed Description

Collection Statistics


Modalities

CT, RTSTRUCT

Number of Patients

606

Number of Studies

606

Number of Series

1220

Number of Images

108,613

Image Size (GB)60.4

Supporting Documentation

  • 300 patients in this dataset are also a subset of 542 patients from Princess Margaret Cancer Centre published in 2015: External validation of a prognostic CT-based radiomic signature in oropharyngeal squamous cell carcinoma. PMID: 26264429 DOI: 10.3109/0284186X.2015.1061214 . You can download just this portion of the Collection using this link:     
                   
                     <link to CT+RT files of 300 in far-right columns of data spreadsheet>  OPC-Radiomics-300.tcia 30.41 GB

    to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever. Click the Search button to open our Data Portal, where you can browse the data collection and/or download a subset of its contents. 


Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy 

 This collection is freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License.  See TCIA's Data Usage Policies and Restrictions for additional details. Questions may be directed to help@cancerimagingarchive.net.

Please be sure to include the following citations in your work if you use this data set:

Info
titleData Citation

Jennifer Yin Yee Kwan, Jie Su, Shao Hui Huang, Laleh S. Ghoraie, Wei Xu, Biu Chan, Kenneth W. Yip, Meredith Giuliani, Andrew Bayley, John Kim, Andrew J. Hope, Jolie Ringash, John Cho, Andrea McNiven , Aaron Hansen , David Goldstein , John de Almeida , Hugo J. Aerts , John N. Waldron , Benjamin Haibe-Kains , Brian O’Sullivan , Scott V. Bratman , Fei-Fei Liu. (2019). Data from Radiomic Biomarkers to Refine Risk Models for Distant Metastasis in Oropharyngeal Carcinoma. The Cancer Imaging Archive. DOI: 10.7937/tcia.2019.8dho2gls


Info
titlePublication Citation

Kwan JYY, Su J, Huang SH, Ghoraie LS, Xu W, Chan B, Yip KW, Giuliani M, Bayley A, Kim J, Hope AJ, Ringash J, Cho J, McNiven A, Hansen A, Goldstein D, de Almeida JR, Aerts HJ, Waldron JN, Haibe-Kains B, O'Sullivan B, Bratman SV, Liu FF.  (2018) Radiomic Biomarkers to Refine Risk Models for Distant Metastasis in HPV-related Oropharyngeal Carcinoma. International Journal of Radiation Oncology*Biology*Physics, 1-10. DOI: 10.1016/j.ijrobp.2018.01.057.
ScienceDirect 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. 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.  DOI: 10.1007/s10278-013-9622-7

Other Publications Using This Data

TCIA maintains a list of publications which leverage our data. If you have a publication you'd like to add please contact the TCIA Helpdesk. At this time the following related publication has been brought to TCIA's attention:

  1. Leijenaar RT, Carvalho S, Hoebers FJ, Aerts HJ, van Elmpt WJ, Huang SH, Chan B, Waldron JN, O'sullivan B, Lambin P. (2015) External validation of a prognostic CT-based radiomic signature in oropharyngeal squamous cell carcinoma. Acta Oncol. 54(9):1423-9. DOI: 10.3109/0284186X.2015.1061214



Localtab
titleVersions

Version 1 (Current): Updated 2020/01/

10

29

Data TypeDownload all or Query/Filter
Images (DICOM,  XXX60.X 4 GB)
Summary clinical data

<coming soon>

Detailed clinical, genomic, and expression array data

<coming soon>Image Added