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

You are viewing an old version of this page. View the current version.

Compare with Current View Page History

Version 1 Next »

Summary

This collection contains 26 cases of patients with non-small cell lung cancer imaged prior to surgical excision with both thin-section CT and whole body PET/CT scans acquired under IRB approval from Stanford University and the Veterans Administration Palo Alto Health Care System. Microarray data acquired from the excised samples corresponding to these scans is available on the NCBI Gene Expression Omnibus (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE28827), where DICOM patient names correspond 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).


Citation: Radiology. 2012 Aug;264(2):387-96. doi: 10.1148/radiol.12111607. Epub 2012 Jun 21. PMID: 22723499 ; PMCID: PMC3401348

Data Access

Imaging Data

You can view and download these images on The Cancer Imaging Archive by logging in to TCIA and selecting the NSCLC Radiogenomics collection.

Collection Statistics

(updated 2/11/2013)

Modalities

PET, CT

Number of Patients

26

Number of Studies


Number of Series


Number of Images


If you are unsure how to download this Collection please view our quick guide on Searching by Collection or refer to our The Cancer Imaging Archive User's Guide for more detailed instructions on using the site.

Shared Lists

  • Non-small cell lung cancer: identifying prognostic imaging biomarkers by leveraging public gene expression microarray data--methods and preliminary results. - Use this Shared List to obtain only 26 cases analyzed in this publication.

Metadata

Microarray data acquired from the excised samples corresponding to these scans is available on the NCBI Gene Expression Omnibus (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE28827), where DICOM patient names correspond to microarray sample names.

  • No labels