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 |
---|
title | Citations & Data Usage Policy |
---|
| Citations & Data Usage Policy Users of this data must abide by the Creative Commons Attribution-NonCommercial 3.0 Unported License under which it has been published. Attribution should include references to the following citations: Info |
---|
| Aerts, H. J. W. L., Wee, L., Rios Velazquez, E., Leijenaar, R. T. H., Parmar, C., Grossmann, P., … Lambin, P. (2019). Data From NSCLC-Radiomics [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2015.PF0M9REI |
Info |
---|
title | Publication Citation |
---|
| 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 |
---|
| 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) |
Questions may be directed to help@cancerimagingarchive.net. Other Publications Using This DataTCIA maintains a list of publications that leverage our data. If you have a publication you'd like to add, please contact the TCIA Helpdesk. |
Localtab |
---|
| Version 4 (Current): Updated 2020/10/22Data Type | Download all or Query/Filter |
---|
Images (DICOM, 33 GB) | | Lung1 clinical (CSV) | |
- RTSTRUCT and SEG study instance UID changed to match study instance uid with associated CT image.
- Added missing structures in SEG files to match associated RTSTRUCTs.
- Patient Id copied to Patient Name in CT images (for consistency).
- Added 1 missing image for LUNG1-246.
Version 3: Updated 2019/10/23Data Type | Download all or Query/Filter |
---|
Images (DICOM, 29GB) | | Lung1 clinical (CSV) | |
- Re-checked and updated the RTSTRUCT files to amend issues in the previous submission due to missing RTSTRUCTS or regions of interest that were not vertically aligned with the patient image.
- In 4 cases (LUNG1-083,LUNG1-095,LUNG1-137,LUNG1-246) re-submitted the correct CT images.
- The regions of interest now include the primary lung tumor labelled as “GTV-1”, as well as organs at risk.
- For one case (LUNG1-128) the subject does not have GTV-1 because it was actually a post-operative case; we retained the CT scan here for completeness.
- Added DICOM SEGMENTATION objects to the collection, which makes it easier to search and retrieve the GTV-1 binary mask for re-use in quantitative imaging research.
- Clinical data updated as follow-up time has been extended.
Version 2: Updated 2016/05/31 (version 2 removed as RTSTRUCTs or regions of interest were not vertically aligned with patient images. See version 3 for updated files).Data Type | Download all or Query/Filter |
---|
Images (DICOM, 25GB) | not available, see version 3 | Lung1 clinical (CSV) | |
Added 318 RTSTRUCT files for existing subject imaging data Version 1: Updated 2014/07/02Data Type | Download all or Query/Filter |
---|
Images (DICOM, 25GB) | | Lung1 clinical (CSV) | |
|
|