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Summary
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The Cancer Genome Atlas-Ovarian Cancer (TCGA-OV) data collection is part of a larger effort to enhance the TCGA data set with characterized radiological images. The Cancer Imaging Program (CIP) with the cooperation of several of the TCGA tissue-contributing institutions are working to archive a large portion of the radiological images of the genetically-analyzed OV cases. |
Clinical, genetic, and pathological data resides in the TCGA data portal, while the radiological data is stored on The Cancer Imaging Archive (TCIA). The data utilizes the same TCGA patient identifiers in both repositories, allowing researchers to explore the correlations between tissue genotype and radiological phenotype. This collection within TCIA is related to the OV disease type within TCGA.
CIP TCGA Radiology Initiative
The CIP has begun multiple projects to collaborate with the academic community to encourage cross disciplinary research, which utilizes the data provided in these resources. More can be learned about this effort on the TCGA Ovarian Phenotype Research Group page.
Acknowledgements
We would like to acknowledge the individuals and institutions that have provided data for this collection:
- University of Pittsburgh/UPMC, Pittsburgh, PA - Special thanks to Chandra Holback, MD and Rose Jarosz.
Washington University School of Medicine, St. Louis, MO - Special thanks to Fred Prior, Ph.D. from the Electronic Radiology Lab, Mallinckrodt Institute and David G Mutch, MD, Ira C, MD & Judith Gall, MD Ob/Gyn.
- MD Anderson Cancer Center, Houston TX - Special thanks to Priya Bhosale, MD and Kimberly Garcia.
- University of North Carolina, Chapel Hill, NC - Special thanks to Yueh Lee, MD, PhD and Shanah Kirk.
Brigham & Women's Hospital, Boston, MA - Special thanks to Cheryl A. Sadow, MD and Seth Levine.
Memorial Sloan-Kettering Cancer Center, New York, NY - Special thanks to Evis Sala, MD, PhD and Pierre Elnajjar.
- University of California, San Francisco, CA - Special thanks to Tara Morgan, MD
- Mayo Clinic, Rochester, MN - Special thanks to Brad Erickson, MD, PhD. Ca
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