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  • NSCLC Radiogenomics: Initial Stanford Study of 26 Cases (NSCLC Radiogenomics-Stanford)

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Description

This subset of NSCLC Radiogenomics contains images from patients with non-small cell lung cancer (NSCLC) imaged prior to surgical excision with both thin-section computed tomography (CT) and whole body positron emissions tomography (PET)/CT scans acquired under Institutional Review Board approval from Stanford University and the Veterans Administration Palo Alto Health Care System. The first installment of 26 cases (see shared list "NSCLC Radiogenomics: Initial Stanford Study of 26 Cases") corresponds to microarray data acquired from the excised samples, which is available on the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus, where Digital Imaging and Communications in Medicine (DICOM) patient names are identical to microarray sample names. 

For scientific inquiries relating to the data-set, please contact Drs. Sandy Napel (snapel@stanford.edu) or Sylvia K. Plevritis (sylvia.plevritis@stanford.edu).and other inquiries about this dataset, please contact TCIA's Helpdesk.



Localtab Group


Localtab
activetrue
titleData Access

Data Access

Click the Download button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever


Data TypeDownload all or Query/FilterLicense
Images (DICOM, 7.7 GB)

(Requires NBIA Data Retriever)

Tcia cc by 3

Microarray Samples

Image Modified

Tcia cc by 3

Please contact help@cancerimagingarchive.net  with any questions regarding usage.

Collections Used in this Third Party Analysis

Below is a list of the Collections used in these analyses:


Localtab
titleDetailed Description

Detailed Description

The original 26 cases referenced in this manuscript have been renamed. A list of the mapping between GSM-XXX Patient IDs and R01-XXX Patient IDs can be found here.


Radiology Statistics
Image Size (GB)7.7

Modalities

CT, PT, SEG

Number of Images

23,081

Number of Participants

26

Number of Series

119

Number of Studies

51



Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy 

These collections are freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License. Questions may be directed to help@cancerimagingarchive.net. Please be sure to acknowledge both this data set and TCIA in publications by including the following citations in your work:

Tcia limited license policy


Info
titleData Citation

Napel, Sandy, & Plevritis, Sylvia K. (2014). NSCLC Radiogenomics: Initial Stanford Study of 26 Cases (NSCLC Radiogenomics-Stanford) [Data Set]. The Cancer Imaging Archive. http://doi.org/10.7937/K9/TCIA.2014.X7ONY6B1



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)

In addition to the dataset citation above, please be sure to cite the following if you utilize these data in your research:

Info
titlePublication Citation

Gevaert, O., Xu, J., Hoang, C. D., Leung, A. N., Xu, Y., Quon, A., … Plevritis, S. K. (2012, August). Non–Small Non-Small Cell Lung Cancer: Identifying Prognostic Imaging Biomarkers by Leveraging Public Gene Expression Microarray Data—Methods Data -Methods and Preliminary Results. Radiology. Radiological Society of North America (RSNA). http://doi.org/10.1148/radiol.12111607



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. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. In Journal of Digital Imaging (Vol. 26, Issue 6, pp. 1045–1057). Springer Science and Business Media LLC. https://doi.org/10.1007/s10278-013-9622-7 PMCID: PMC3824915

Other Publications Using This Data

TCIA maintains a list of publications that leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA's Helpdesk.


Localtab
titleVersions

Version 1 (Current): 2013/03/01

Data TypeDownload all or Query/Filter
Images (DICOM)

Microarray Samples



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