Summary
About the NCI QIN
The mission of the QIN is to improve the role of quantitative imaging for clinical decision making in oncology by developing and validating data acquisition, analysis methods, and tools to tailor treatment for individual patients and predict or monitor the response to drug or radiation therapy. More information is available on the Quantitative Imaging Network Collections page. Interested investigators can apply to the QIN at: Quantitative Imaging for Evaluation of Responses to Cancer Therapies (U01) PAR-11-150.
Acknowledgements
We would like to acknowledge the individuals and institutions that have provided data for this collection: Medical College of Wisconsin, Milwaukee, Wisconsin. Special thanks to Kathleen Schmainda, Ph.D. and Melissa Prah, Department of Radiology, Division of Imaging Science.
Data Access
Data Type | Download all or Query/Filter | License |
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Images (DICOM, 30.8 GB) | (Download requires the NBIA Data Retriever) |
Click the Versions tab for more info about data releases.
Detailed Description
Collection Statistics | Radiology |
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Modalities | MR |
Number of Participants | 49 |
Number of Studies | 52 |
Number of Series | 349 |
Number of Images | 116,778 |
Images Size (GB) | 30.8 |
Citations & Data Usage Policy
Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution should include references to the following citations:
Data Citation
Kathleen M Schmainda, Melissa A Prah, Jennifer M Connelly, Scott D Rand. (2016). Glioma DSC-MRI Perfusion Data with Standard Imaging and ROIs [ Dataset ] . The Cancer Imaging Archive. DOI: 10.7937/K9/TCIA.2016.5DI84Js8
Publication Citation
Schmainda KM, Prah MA, Rand SD, Liu Y, Logan B, Muzi M, Rane SD, Da X, Yen YF, Kalpathy-Cramer J, Chenevert TL, Hoff B, Ross B, Cao Y, Aryal MP, Erickson B, Korfiatis P, Dondlinger T, Bell L, Hu L, Kinahan PE, Quarles CC. (2018). Multisite Concordance of DSC-MRI Analysis for Brain Tumors: Results of a National Cancer Institute Quantitative Imaging Network Collaborative Project. American Journal of Neuroradiology, 39(6), 1008–1016. DOI: 10.3174/ajnr.a5675
TCIA 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, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. DOI: 10.1007/s10278-013-9622-7
Other Publications Using This Data
TCIA maintains a list of publications that leverage our data. If you have a publication you'd like to add, please contact the TCIA Helpdesk.
Version 3 (Current): Updated 2019/08/28
Data Type | Download all or Query/Filter |
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Images (DICOM, 30.8 GB) | Downloads require the NBIA Data Retriever . |
Lifted "Limited Access" embargo.
Version 2: Updated 2016/03/29
Data Type | Download all or Query/Filter |
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Images (DICOM, 30.8 GB) | Downloads require the NBIA Data Retriever . |
Added 6 new series, 1 source DSC for each of the 6 MRI platforms.
Version 1: Updated 2015/08/25
Data Type | Download all or Query/Filter |
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Images (DICOM, 30.5 GB) |