The Cancer Imaging Archive (TCIA) Public Access

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Summary

This collection of CT data contains images from ... Data is provided by 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 & Research Institute , PIs: Dmitry Goldgof and Bob Gillies.

A total of 10 data sets from this collection have been made available for a challenge.

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 (xxxxx).  Please see the published paper for details of the challenge.

 

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titleReferenceReferences
  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
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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.

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

 

Clinical Data

xxxxxxxxxxxxxxxxxxxxLimited clinical variables will be made available.