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  • Serial Non-contrast Non-gated T2w MRI Datasets of Patient-derived Xenograft Cancer Models for Development of Tissue Characterization Algorithms (PDMR-Texture-Analysis)

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Localtab Group


Localtab
activetrue
titleData Access

Data Access

Data TypeDownload all or Query/FilterLicense

Images (DICOM, 11.8 GB)


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labelSearch
urlhttps://public.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=PDMR-Texture-Analysis



(Download requires NBIA Data Retriever)

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Standard Operating Procedure 50101: MRI T2 Weighted Non-Contrast Protocol Single Mouse Pulmonary Gated and Multi-Mouse Non-Gated


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urlhttps://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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urlhttps://wiki.cancerimagingarchive.net/download/attachments/145752799/SOP50101_Tumor_Implantation_PDX.pdf?api=v2



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PDX Model Characterizations


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urlhttps://wiki.cancerimagingarchive.net/download/attachments/145752799/PDX%20stats_V2.xlsx?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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urlhttps://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 Dataset

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.  


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.


Localtab
titleDetailed Description

Detailed Description

Image Statistics

Radiology Image Statistics

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.


Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy

Tcia limited license policy

Info
titleData Citation

Kalen, J. D., Ileva, L. V., Riffle, L. A., Keita, S., Tatum, J. L., Jacobs, P. M., Sanders, C., James, A., Difilippantonio, S., Thang, L., Hollingshead, M. G., Evrard, Y., Clunie, D. A., Miao, T., Wagner, U., Freymann, J., Kirby, J., & Doroshow, J. H. (2023). Serial Non-contrast Non-gated T2w MRI Datasets of Patient Derived Xenograft Cancer Models for Development of Tissue Characterization Algorithms (PDMR-Texture Analysis) (Version 1) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/3KQ0-YK19


Info
titleTCIA Citation

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 Data

TCIA 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


Localtab
titleVersions

Version X (Current): Updated 2023/mm/dd

Data TypeDownload all or Query/FilterLicense

Images (DICOM, 11.8 GB)


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labelSearch


(Download requires the NBIA Data Retriever)

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Standard Operating Procedure 50101: MRI T2 Weighted Non-Contrast Protocol Single Mouse Pulmonary Gated and Multi-Mouse Non-Gated


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urlhttps://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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urlhttps://wiki.cancerimagingarchive.net/download/attachments/145752799/SOP50101_Tumor_Implantation_PDX.pdf?api=v2



Tcia cc by 4

PDX Model Characterizations


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urlhttps://wiki.cancerimagingarchive.net/download/attachments/145752799/PDX%20stats_V2.xlsx?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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urlhttps://wiki.cancerimagingarchive.net/download/attachments/145752799/PDMR-LINKS%2020230607.docx?api=v2



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