Localtab |
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active | true |
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title | Data Access |
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| Data AccessClick the Download button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever Data Type | Download all or Query/Filter |
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Images (DICOM, 9.03 GB) | | Clinical data (CSV) | | VASARI information (CSV) | | VASARI MR feature key (VARSARI scores and keys (CSV, PDF) | Image RemovedImage Modified | Matlab Segmentations (PDF, 2.1 MB) |
To download ROI masks, please contact the TCIA help desk help@cancerimagingarchive.net. |
Please contact help@cancerimagingarchive.net with any questions regarding usage. |
Localtab |
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title | Detailed Description |
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| Detailed DescriptionClinical data (188 patients in total from the TCGA-LGG collection, some incomplete depending on the clinical attribute), VASARI scores (188 patients in total from the TCGA-LGG collection, 178 complete) with feature keys, and source code used in this study are also available with this collection. Please contact Martin Vallières (mart.vallieres@gmail.com) of the Medical Physics Unit of McGill University for any scientific inquiries about this dataset. Special Instructions for downloading Matlab ROIs: - Access to this collection's MATLAB ROI masks is currently restricted by Harrison X. Bai from the Department of Radiology, Hospital of University of Pennsylvania. Access could be granted if this dataset is properly acknowledged in your research. If you believe this data will be useful for a current or planned research project, you may request access to this dataset by completing the attached Data Use Agreement and forwarding it via e-mail to the TCIA help desk help@cancerimagingarchive.net. Please make sure that the form is filled out by a formal Principal Investigator (PI) and please also make sure to include your institutional address with contact information. The Data Use Agreement will then be promptly reviewed by Harrison X. Bai and you will be informed of his decision. In most cases, access will be granted and members of your research team will be granted access to the dataset. Note: you must have TCIA login credentials in order to access any restricted collection.
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Localtab |
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title | Citations & Data Usage Policy |
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| 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:
Info |
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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. (paper) |
In addition to the dataset citation above, please be sure to cite the following if you utilize these data in your research: Info |
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title | Publication Citation |
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| Hao Zhou, Martin Vallières, Harrison X. Bai, Chang Su, Haiyun Tang, Derek Oldridge, Zishu Zhang, Bo Xiao, Weihua Liao, Yongguang Tao, Jianhua Zhou, Paul Zhang, Li Yang; MRI features predict survival and molecular markers in diffuse lower-grade gliomas. Neuro Oncol 2017 now256. DOI: 10.1093/neuonc/now256 |
Other Publications Using This DataTCIA 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 |
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| Version 1 (Current): 2019/07/11Data Type | Download all or Query/Filter |
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Images (DICOM, 9.03 GB) | | Clinical data (CSV) | | VARSARI scores VASARI information (CSV) | | VASARI MR feature key ( | and keys (CSV, PDF) | Image RemovedImage Modified | Matlab Segmentations (PDF, 2.1 MB) |
To download ROI masks, please contact the TCIA help desk help@cancerimagingarchive.net. |
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