Localtab |
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title | Data Access |
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| Data AccessChoosing 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 By Collection option. Data Type | Download all or Query/Filter |
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Images (DICOM, 25GB) | Image Modified
| Lung1 clinical (CSV) | ![tcia_wiki_download_button.png](/plugins/servlet/confluence/placeholder/unknown-attachment?locale=en_US&version=2) |
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, RSTRUCT | Number of Patients | 422 | Number of Studies | 422 | Number of Series | 740 | Number of Images | 51,513 | Image Size (GB) | 25 |
Radiation Oncologist Tumor SegmentationsThe RTSTRUCT files in this data contain a manual delineation by a radiation oncologist of the 3D volume of the gross tumor volume. For viewing quickly we recommend Dicompyler (http://www.dicompyler.com/) which is an open source, cross-platform DICOM RT viewer. Slicer has a SlicerRT module (http://slicerrt.github.io/index.html) which enables use of this kind of data. The Radiotherapy DICOM toolkit may also be useful for working with this data (https://github.com/dicom/rtkit). Clinical DataCorresponding clinical data can be found here: Lung1.clinical.csv. Please note that survival time is measured in days from start of treatment. DICOM patients names are identical in TCIA and clinical data file. |
Localtab |
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title | Citations & Data Usage Policy |
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| Citations & Data Usage Policy This collection may not be used for commercial purposes. This collection is freely available to browse, download, and use for 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 |
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| Aerts, Hugo J. W. L., Rios Velazquez, Emmanuel, Leijenaar, Ralph T. H., Parmar, Chintan, Grossmann, Patrick, Carvalho, Sara, … Lambin, Philippe. (2015). Data From NSCLC-Radiomics. The Cancer Imaging Archive. http://doi.org/10.7937/K9/TCIA.2015.PF0M9REI |
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title | Publication Citation |
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| Aerts, H. J. W. L., Velazquez, E. R., Leijenaar, R. T. H., Parmar, C., Grossmann, P., Cavalho, S., … Lambin, P. (2014, June 3). Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nature Communications. Nature Publishing Group. http://doi.org/10.1038/ncomms5006 (link) |
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) |
Other Publications Using This DataTCIA maintains a list of publications which leverage our data. At this time we are not aware of any additional publications based on this data. If you have a publication you'd like to add please contact the TCIA Helpdesk. |
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