Summary
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This collection 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 |
IRB Institutional Review Board approval from |
Stanford University and StanfordUniversityand 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 |
(http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE28827), where DICOM , 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). |
Citation: Radiology. 2012 Aug;264(2):387-96. doi: 10.1148/radiol.12111607. Epub 2012 Jun 21. PMID: 22723499 ; PMCID: PMC3401348
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You can view and download these images on The Cancer Imaging Archive TCIA by logging in to TCIA and selecting the NSCLC Radiogenomics collection. |
Collection Statistics | (updated 2/28/2013) |
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Modalities | PET, CT |
Number of Patients | 26 |
Number of Studies | 52 |
Number of Series | 128 |
Number of Images | 36,593 |
If you are unsure how to download this Collection please view our quick guide on collection, please view Searching by Collection or refer to our The Cancer Imaging Archive TCIA's User's Guide for more detailed instructions on using the site.
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- NSCLC Radiogenomics: Initial Stanford Study of 26 Cases - Use this Shared List shared list to obtain the first installment of 26 cases which corresponds to microarray data acquired from the excised samples.
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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.