QIN-BRAIN-DSC-MRI | Glioma DSC-MRI Perfusion Data with Standard Imaging and ROIs
DOI: 10.7937/K9/TCIA.2016.5DI84Js8 | Data Citation Required | 280 Views | 8 Citations | Image Collection
| Location | Species | Subjects | Data Types | Cancer Types | Size | Status | Updated |
|---|---|---|---|---|---|---|---|
| Brain | Human | 49 | MR | Low & High Grade Glioma | Limited, Complete | 2019/08/28 |
Summary
This collection contains MR images of both low and high grade glial brain lesions. Data includes post-contrast T1w images with co-registered volumes of dynamic susceptibility contrast (DSC) MR images in DICOM format. Binary regions of interest are also included, in DICOM format, of the lesion, arterial input function, normal appearing white matter, normal appearing cerebral cortex, and whole brain. The data was provided to help facilitate research activities of the National Cancer Institute's (NCI's) Quantitative Imaging Network (QIN). This collection was supported by Grant U01 CA176110. 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.About the NCI QIN
Data Access
Some data in this collection contains images that could potentially be used to reconstruct a human face. To safeguard the privacy of participants, users must sign and submit a TCIA Restricted License Agreement to help@cancerimagingarchive.net before accessing the data.
Version 3: Updated 2019/08/28
Lifted “Limited Access” embargo.
| Title | Data Type | Format | Access Points | Subjects | License | |||
|---|---|---|---|---|---|---|---|---|
| Images | MR | DICOM | Download requires NBIA Data Retriever |
49 | 52 | 349 | 116,778 | TCIA Restricted |
Citations & Data Usage Policy
Data Citation Required: Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution must include the following citation, including the Digital Object Identifier:
Data Citation |
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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 |
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.
Related Publications
Publications by the Dataset Authors
The authors recommended the following as the best source of additional information about this dataset:
Publication Citation |
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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 |
No other publications were recommended by dataset authors.
Research Community Publications
TCIA maintains a list of publications that leveraged this dataset. If you have a manuscript you’d like to add please contact TCIA’s Helpdesk.
Previous Versions
Version 2: Updated 2016/03/29
Added 6 new series, 1 source DSC for each of the 6 MRI platforms.
| Title | Data Type | Format | Access Points | License | ||||
|---|---|---|---|---|---|---|---|---|
| Images | DICOM | Download requires NBIA Data Retriever |