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title | Data Access |
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Click the Versions tab for more info about data releases. Additional Resources for this DatasetThe National Cancer Institute (NCI) has developed a national repository of Patient-Derived Models (PDMs) comprised of patient-derived xenografts (PDXs), in vitro patient-derived tumor cell cultures (PDCs) and cancer associated fibroblasts (CAFs) as well as patient-derived organoids (PDOrg). These models serve as a resource for public-private partnerships and for academic drug discovery efforts. These PDMs are clinically-annotated with molecular information and made available in the Patient-Derived Model Repository. Data related to the specific subjects in this Collection can be found at: The NCI Cancer Research Data Commons (CRDC) provides access to additional data and a cloud-based data science infrastructure that connects data sets with analytics tools to allow users to share, integrate, analyze, and visualize cancer research data. |
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title | Detailed Description |
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| Detailed DescriptionImage Statistics | Radiology Image Statistics |
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title | Citations & Data Usage Policy |
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| Citations & Data Usage Policy Tcia limited license policy |
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| DOI goes here. Create using Datacite with information from Collection Approval form |
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| 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 |
Other Publications Using This DataTCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk. - Kalen JD, J. D., Clunie DA, D. A., Liu, Y., Tatum JL, J. L., Jacobs PM, P. M., Kirby, J., Freymann JB, J. B., Wagner, U., Smith KE, K. E., Suloway, C., Doroshow JH& Doroshow, J. H. (2021). Design and Implementation of the Pre-Clinical DICOM Standard in Multi-Cohort Murine Studies. Tomography . 2021; (Ann Arbor, Mich.), 7(1):1-9, 1–9. https://doi.org/10.3390/tomography7010001
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| Version X (Current): Updated 2023/mm/ddData Type | Download all or Query/Filter | License |
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