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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 TypeDownload all or Query/FilterLicense
Images (DICOM, 2.08GB)

   

 (Download requires the NBIA Data Retriever)

CC BY 3.0

Click the Versions tab for more info about data releases.

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


Modalities

CT

Number of Participants

47

Number of Studies

47

Number of Series

47

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

Kalpathy-Cramer J, Napel S, Goldgof D, Zhao B. QIN multi-site collection of Lung CT data with Nodule Segmentations.  https://doi.org/10.7937/K9/TCIA.2015.1BUVFJR7

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

    1. 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 TypeDownload all or Query/Filter
Images (DICOM, 2.08GB)

   

(Download requires the NBIA Data Retriever)

Added DICOM for 37 new subjects

Version 1: Updated 2014/12/17

Data TypeDownload all or Query/Filter
Images (DICOM, 0.97GB)

   

 (Download requires the NBIA Data Retriever)


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