- Created by Kirk Smith, last modified by Brittney Camp on Mar 07, 2023
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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) .
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
Data Type | Download all or Query/Filter | License |
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Images (DICOM, 2.08GB) | (Download requires the NBIA Data Retriever) |
Click the Versions tab for more info about data releases.
Additional Resources for this Dataset
The NCI Cancer Research Data Commons (CRDC) provides access to additional data and a cloud-based data science infrastructure that connects data sets with analytics tools to allow users to share, integrate, analyze, and visualize cancer research data.
- Imaging Data Commons (IDC) (Imaging Data)
Third Party Analyses of this Dataset
TCIA encourages the community to publish your analyses of our datasets. Below is a list of such third party analyses published using this Collection:
Detailed Description
Collection Statistics | |
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Modalities | CT |
Number of Participants | 47 |
Number of Studies | 47 |
Number of Series | 137 |
Number of Images | 3954 |
Image Size (GB) | 2.08 |
Citations & Data Usage Policy
Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution should include references to the following citations:
Data Citation
Goldgof, D., Hall, L., Hawkins, S., Schabath, M., Stringfield, O., Garcia, A., Balagurunathan, Y., Kim, J., Eschrich, S., Berglund, A., Gatenby, R., & Gillies, R. (2015). Data From QIN LUNG CT [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2015.NPGZYZBZ
QIN LUNG CT Challenge Citation
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. https://doi.org/10.1007/s10278-013-9622-7
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 that 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.
Version 2 (Current): Updated 2017/07/31
Data Type | Download all or Query/Filter |
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Images (DICOM, 2.08GB) | (Download requires the NBIA Data Retriever) |
Added DICOM for 37 new subjects
Version 1: Updated 2014/12/17
Data Type | Download all or Query/Filter |
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Images (DICOM, 0.97GB) | (Download requires the NBIA Data Retriever) |
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