- Created by Kirk Smith, last modified by Paul Commean on Dec 30, 2015
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Summary
The Computed tomography (CT) Image data was obtained on patients diagnosed with Non-Small Cell Lung Cancer (NSCLC) with mixed stage & histology from the H. Lee Moffitt Cancer Center and Research Institute. Scans were obtained from patients who underwent surgical resection and had corresponding pre-surgery diagnostic CTs. The scans were de-identified following HIPPA guidelines to protect patient privacy. The data was shared with the QIN collaborators for research purpose complying with collaborative data sharing policy of the H. Lee Moffitt Total Cancer Care (TCC) .
This collection of CT data contains 10 subjects from made available for the QIN Lung CT Segmentation Challenge. If your use of this collection results in a publication, we would appreciate if you cite the appropriate references and acknowledge the award that supported collection and sharing of these data sets. Please see the published paper for details of the challenge.
- Goldgof.D, Cramer J, Hawkins S, Napel S, Gu Y, Hall L, Gillies R, Feature Stability across segmentation difference.., (in preparation).
- Dataset DOI: http://dx.doi.org/10.7937/K9/TCIA.2015.1BUVFJR7
About the NCI QIN
The mission of the QIN is to improve the role of quantitative imaging for clinical decision making in oncology by developing and validating data acquisition, analysis methods, and tools to tailor treatment for individual patients and predict or monitor the response to drug or radiation therapy. More information is available on the Quantitative Imaging Network Collections page. Interested investigators can apply to the QIN at: Quantitative Imaging for Evaluation of Responses to Cancer Therapies (U01) PAR-11-150.
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 By Collection option.
Click the Versions tab for more info about data releases.
Detailed Description
Collection Statistics | Updated 12/17/2014 |
---|---|
Modalities | CT |
Number of Patients | 10 |
Number of Studies | 10 |
Number of Series | 10 |
Number of Images | 1174 |
Image Size (GB) |
Metadata
Access to this collection's clinical data is restricted due to the type of information included and/or the informed consent procedure under which the data were collected. If you believe this data will be useful for a current or planned research project, you may request access to this clinical data by completing the attached Data Use Agreement and forwarding it via e-mail to the TCIA help desk (help@cancerimagingarchive.net). The Data Use Agreement will be promptly reviewed by a TCIA review committee and you will be informed of their decision. In most cases access will be granted and members of your research team will be granted access to the clinical data. Note: you must have TCIA login credentials in order to access any restricted collection.
Citations & Data Usage Policy
This collection is freely available to browse, download, and use for commercial, 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:
QIN LUNG CT Citation
The Cancer Imaging Archive Team. Data From QIN LUNG CT. doi:10.7937/K9/TCIA.2015.NPGZYZBZ
TCIA 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. (paper)
Other Publications Using This Data
- Goldgof.D, Cramer J, Hawkins S, Napel S, Gu Y, Hall L, Gillies R, Feature Stability across segmentation difference.., (in preparation).
TCIA 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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