Localtab |
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active | true |
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title | Data Access |
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| 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 Type | Download all or Query/Filter |
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Images and Radiation Therapy Structures (DICOM, 61.75 GB) | | Clinical (e.g. patient demographics, outcomes) | |
Click the Versions tab for more info about data releases. |
Localtab |
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title | Detailed Description |
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| Detailed Description
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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.
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Localtab |
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title | Citations & Data Usage Policy |
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| Citations & Data Usage Policy Public collection license |
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Info |
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| 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 |
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title | Publication Citation |
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| 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 |
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| 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 DataTCIA 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: - 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
- 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
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Localtab |
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| Version 1 (Current): Updated 2020/01/29
Data Type | Download all or Query/Filter |
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Images (DICOM, 61.6 GB) | | Summary clinical data | |
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