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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.

 

Panel
titleReferences
  1. Goldgof.D, Cramer J, Hawkins S,  Napel S, Gu Y, Hall L, Gillies R, Feature Stability across segmentation difference.., (in preparation).
  2. 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.

 

Localtab Group


Localtab
activetrue
titleData Access

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Data

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Icon

You can view and download these images on TCIA by clicking Image Removed and selecting the QIN Lung CT collection.

You can download all of the images that were contained in this collection as of '6-22-2015' by clicking Download Collection.

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Collection Statistics

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Access

Click 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, 2.27GB)

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

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47

Number of Studies

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47

Number of Series

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47

Number of Images

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1174

If you are unsure how to download this collection, please view Searching by Collection or refer to our TCIA's User's Guide for more detailed instructions on using the site.

Shared Lists

There is a Shared List and a DOI available which relate to the multi-QIN center challenge referenced above.

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Clinical Data

Limited clinical variables will be made available.

 

 

3954

Image Size (GB)0.xxx



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:

Info
titleData Citation

Goldgof, Dmitry, Hall, Lawrence, Hawkins, Samuel, Schabath, Matthew, Stringfield, Olya, Garcia, Alberto, … Gillies, Robert. (2015). Data From QIN_LUNG_CT. The Cancer Imaging Archive. http://doi.org/10.7937/K9/TCIA.2015.NPGZYZBZ


Info
titleQIN LUNG CT Challenge Citation
Jayashree Kalpathy-Cramer, Sandy Napel, Dmitry Goldgof, Binsheng Zhao. QIN multi-site collection of Lung CT data with Nodule Segmentations.  http://dx.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. 

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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

    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.


Localtab
titleVersions

Version 2 (Current): Updated 2017/07/31

Data TypeDownload all or Query/Filter
Images (DICOM, 2.27GB)

Added DICOM for 37 new subjects

Version 1: Updated 2014/12/17

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