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Summary
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The |
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Cancer Genome Atlas Cervical Kidney renal papillary cell carcinoma (KIRP) data collection is part of a larger effort |
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to build a research community focused on connecting cancer phenotypes to genotypes by providing clinical images matched to subjects from The Cancer Genome Atlas (TCGA) |
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Clinical, genetic, and |
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pathological data resides in |
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the Genomic Data Commons (GDC) Data Portal while the radiological data is stored on The Cancer Imaging Archive (TCIA). |
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Matched TCGA patient identifiers
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allow researchers to explore the TCGA/TCIA databases for correlations between tissue genotype
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, radiological phenotype
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and patient outcomes. Tissues for TCGA were collected from many sites all over the world in order to reach their accrual targets, usually around 500 specimens per cancer type. For this reason the image data sets are also extremely heterogeneous in terms of scanner modalities, manufacturers and acquisition protocols. In most cases the images were acquired as part of routine care and not as part of a controlled research study or clinical trial.
CIP TCGA Radiology Initiative
The Cancer Imaging Program is supporting multiple projects within the academic community to encourage cross disciplinary research which utilizes the data provided in these resources. Much more can be learned about this effort on the CIP TCGA Radiology Initiative page.
How to retrieve the images from TCIA
Imaging Data
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You can view and download these images on The Cancer Imaging Archive by logging in to TCIA and selecting the TCGA-KIRP collection. A full listing of the available imaging studies/series for each patient can be found in this spreadsheet:TCGA-KIRP.XLSX |
Collection Statistics | (updated 2013/12/11) |
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Modalities |
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Number of Patients | 20 |
Number of Studies | 28 |
Number of Series | 229 |
Number of Images | 14,769 |
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.
Related Data
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Imaging Source Site (ISS) Groups are being populated and governed by participants from institutions that have provided imaging data to the archive for a given cancer type. Modeled after TCGA analysis groups, ISS groups are given the opportunity to publish a marker paper for a given cancer type per the guidelines in the table above. This opportunity will generate increased participation in building these multi-institutional data sets as they become an open community resource. Learn more about the TCGA Renal Phenotype Research Group.
Acknowledgements
We would like to acknowledge the individuals and institutions that have provided data for this collection:
- National Cancer Institute, Bethesda, MD - Special thanks to Marston Linehan, M.D. and Rabindra Gautam from the Urologic Oncology Branch.
- University of North Carolina, Chapel Hill, NC - Special thanks to J. Keith Smith, M.D.,Ph.D and Shanah Kirk.
- Roswell Park Cancer Institute, Buffalo NY - Special thanks to Charles Roche, MD; Ermalinda Bonaccio, MD; and Joe Filippini.
- Lahey Hospital & Medical Center, Burlington, MA - Special thanks to John Lemmerman, RT and Kimberly Reiger-Christ, PhD, Cancer Research, Sophia Gordon Cancer Center.
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Acknowledgements
We would like to acknowledge the individuals and institutions that have provided data for this collection:
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