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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.

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.

 

 


Localtab Group



Localtab
activetrue
titleData Access

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 optionClick the  Download button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever . Click the Search button to open our Data Portal, where you can browse the data collection and/or download a subset of its contents.


Data TypeDownload all or Query/Filter
Images (DICOM,
0
2.
97GB
08GB)


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:




Localtab
titleDetailed Description

Detailed Description


Collection Statistics

 


Modalities

CT

Number of

Patients

Participants

10

47

Number of Studies

10

47

Number of Series

10

47

Number of Images

1174

3954

Image Size (GB)
0
2.
972
08






Localtab
titleCitations & Data Usage Policy

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:

Public collection license

Info
titleData 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/

Info
titleQIN LUNG CT Citation

The Cancer Imaging Archive Team. Data From QIN LUNG CT. doi:10.7937/K9/TCIA.2015.NPGZYZBZ


Info
titleQIN LUNG CT Challenge Citation
Jayashree Kalpathy-Cramer J, Sandy Napel S, Dmitry Goldgof D, Binsheng Zhao B. QIN multi-site collection of Lung CT data with Nodule Segmentations.doi:   https://doi.org/10.7937/K9/TCIA.2015.1BUVFJR7


Info
titleTCIA 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) 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 which 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.




Localtab
titleVersions

Version

1

2 (Current): Updated 2017/07/31


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


Added DICOM for 37 new subjects

Version 1: Updated 2014/12/17


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

(Requires the NBIA Data Retriever .)