The Cancer Imaging Archive (TCIA) Public Access

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Summary

Info
titleInformation

This collection has been deprecated. Data from the collection formerly called OPC-Radiomics has been updated. The data are downloadable but no longer viewable in the Cancer Imaging Archive. Please view the RADCURE page to obtain access to the updated data: https://doi.org/10.7937/J47W-NM11.


Excerpt

Oropharynx cancer is increasing in frequency in North America. More refined risk stratification and treatment personalization strategies are needed to improve cure rates and limit toxicities. Radomic features have shown promise for prognostication in oropharynx cancer based on datasets including hundreds of patients. Clinical outcomes data for oropharynx cancer patients treated at Princess Margaret Cancer Centre is of the highest quality, collected prospectively at the point of care. This data has resulted in the recent AJCC/UICC 8th edition staging system for oropharynx cancer (first published by O'Sullivan et al. in Lancet Oncology, 2016 [PMID 26936027]). By making publicly available the published data from our institution, which has now been published twice, we will empower researchers to perform meta-analysis and validation exercises of prognostic radiomic models. Ultimately this will lead to more robust models and bring us closer to clinical implementation and impact for our patients.

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Localtab Group



Localtab
activetrue
titleData Access

Data Access

Tcia head license access

Data TypeDownload all or Query/FilterLicense
Images and Radiation Therapy Structures (DICOM, 61.75 GB)

 

label
Tcia button generator
Search
urlhttps://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=OPC-Radiomics
Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/33948764/OPC-Radiomics-606.tcia?version=1&modificationDate=1582649948502&api=v2


    

(Download requires the NBIA Data Retriever)

Tcia restricted license

Clinical (e.g. patient demographics, outcomes)


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/33948764/Clinical%20data%20list_OPC%20%28606%29%20v3.xlsx?version=1&modificationDate=1581359182229&api=v2



Tcia cc by 3


Click the Versions tab for more info about data releases.




Localtab
titleDetailed Description

Detailed Description


Collection Statistics


Modalities

CT, RTSTRUCT

Number of Participants

606

Number of Studies

606

Number of Series

1220

Number of Images

108,813

Image Size (GB)61.75


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:     
                   
                    OPC-Radiomics-300.tcia 30.9 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. 
  • Please note:

    For some cases, there are HTV RTSTRUCT information listed, without GTV contours. HTV refers to a preoperative GTV target region, for instance in the setting of tonsillectomy. If there exist both GTV and HTV for a case, then there is probably a postoperative residual tumor seen.

    There are three listed clinical outcome results (columns "Local Failure", "Regional Failure," Distant Failure");  "Persistent" would generally be considered treatment failure. Blank indicates no failure/recurrence in these columns.




Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy 

Tcia limited license policy

Info
titleData 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. (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
  2. Lombardo, E., Kurz, C., Marschner, S., Avanzo, M., Gagliardi, V., Fanetti, G., Franchin, G., Stancanello, J., Corradini, S., Niyazi, M., Belka, C., Parodi, K., Riboldi, M., & Landry, G. (2021). Distant metastasis time to event analysis with CNNs in independent head and neck cancer cohorts. Scientific Reports, 11(1). DOI: 10.1038/s41598-021-85671-y





Localtab
titleVersions

Version 1 (Current): Updated 2020/01/29


Data TypeDownload all or Query/Filter
Images (DICOM,  61.6 GB)

 

Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/pages/viewpage.action?pageId=33948764#
Tcia button generator
labelSearch
urlhttps://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=OPC-Radiomics


    

(Download requires the NBIA Data Retriever)

Summary clinical data


Tcia button generator
urlhttps://wiki.cancerimagingarchive.net/download/attachments/33948764/Clinical%20data%20list_OPC%20%28606%29%20v3.xlsx?version=1&modificationDate=1581359182229&api=v2








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