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| title | Data Access |
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| Data Access| Data Type | Download all or Query/Filter | License |
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Images (DICOM, 11.8 GB)
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(Download requires NBIA Data Retriever) | | Standard Operating Procedure 50101: MRI T2 Weighted Non-Contrast Protocol Single Mouse Pulmonary Gated and Multi-Mouse Non-Gated |
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| url | https://wiki.cancerimagingarchive.net/download/attachments/145752799/SOP50101_MRI%20T2%20Weighted%20Non-Contrast%20Protocol_Single%20Mouse%20Pulmonary%20Gated%20and%20Multi-Mouse%20Non-Gated.pdf?api=v2 |
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| | Standard Operating Procedure 50101: Tumor_Implantation_PDX |
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| url | https://wiki.cancerimagingarchive.net/download/attachments/145752799/SOP50101_Tumor_Implantation_PDX.pdf?api=v2 |
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| | PDX Model Characterizations |
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| url | https://wiki.cancerimagingarchive.net/download/attachments/145752799/PDMR-LINKS%2020230607.docx?api=v2 |
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| | Data related to specific models in the collection at NCI Patient-Derived Models Repository (PDMR) |
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| url | https://wiki.cancerimagingarchive.net/download/attachments/145752799/PDMR-LINKS%2020230607.docx?api=v2 |
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Click the Versions tab for more info about data releases. Additional Resources for this DatasetLinks for each model in the NCI Patient-Derived Models Repository (PDMR)The 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. SOP50101_Tumor_Implantation_PDXSOP50101_MRI T2 Weighted Non-Contrast Protocol_Single Mouse Pulmonary Gated and Multi-Mouse Non-GatedPDX Model Characterizations used to review images, imaging sessions/dates and models
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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Modalities | MR, SR | Number of Patients | 175 | Number of Studies | 689 | Number of Series | 1203 | Number of Images | 19343 | | Images Size (GB) | 11.8 |
In addition to images, this collection includes Raw Data Storage SOP Class instances with MR Modality, generated by a Philips MR scanner; this data is not useful to anyone without the proprietary software to interpret it. |
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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, J. D., Clunie, D. A., Liu, Y., Tatum, J. L., Jacobs, P. M., Kirby, J., Freymann, J. B., Wagner, U., Smith, K. E., Suloway, C., & Doroshow, J. H. (2021). Design and Implementation of the Pre-Clinical DICOM Standard in Multi-Cohort Murine Studies. Tomography (Ann Arbor, Mich.), 7(1), 1–9. https://doi.org/10.3390/tomography7010001
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| Version X (Current): Updated 2023/mm/dd| Data Type | Download all or Query/Filter | License |
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Images (DICOM, 11.8 GB)
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