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.
Data Access
When you have a TCIA account, please email to help@cancerimagingarchive.net to request access to these data.
Data Type | Download all or Query/Filter | License |
---|---|---|
Images (DICOM, 4.4GB) | (Download requires the NBIA Data Retriever) | TCIA restricted |
Click the Versions tab for more info about data releases.
Detailed Description
Collection Statistics | |
---|---|
Modalities | MR |
Number of Participants | 22 |
Number of Studies | 22 |
Number of Series | 319 |
Number of Images | 25,981 |
Image Size (GB) | 4.4 |
A subset of datasets from this collection were used in [1]. The MR sequences included T1- and T2-weighted imaging, diffusion weighted (DW) imaging, and DCE MRI following the protocol described in [2].
References
[1] Fedorov, A., Fluckiger, J., Ayers, G. D., Li, X., Gupta, S. N., Tempany, C., Mulkern, R., Yankeelov, T.E., Fennessy, F. M. (2014). A comparison of two methods for estimating DCE-MRI parameters via individual and cohort based AIFs in prostate cancer: A step towards practical implementation. Magnetic Resonance Imaging, 32(4), 321–9. doi:10.1016/j.mri.2014.01.004
[2] Hegde, J. V, Mulkern, R. V, Panych, L. P., Fennessy, F. M., Fedorov, A., Maier, S. E., & Tempany, C. M. C. (2013). Multiparametric MRI of prostate cancer: An update on state-of-the-art techniques and their performance in detecting and localizing prostate cancer. Journal of Magnetic Resonance Imaging : JMRI, 37(5), 1035–54. doi:10.1002/jmri.23860
Citations & Data Usage Policy
Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution should include references to the following citations:
Please acknowledge the award that supported collection and sharing of these data sets (U01 CA151261, PI Fiona Fennessy) and the citations below if you use this data set.
Data Citation
Fedorov A, Tempany C, Mulkern R, & Fennessy F. (2016). Data From QIN PROSTATE. The Cancer Imaging Archive. DOI: 10.7937/K9/TCIA.2016.fADs26kG
Citation - Grant Support
Please acknowledge the award that supported collection and sharing of these data sets (U01 CA151261, PI Fiona Fennessy).
Publication Citation
Fedorov A, Fluckiger J, Ayers GD, Li X, Gupta SN, Tempany C, Mulkernag R, Yankeelov TE, Fennessy FM. (2014). A comparison of two methods for estimating DCE-MRI parameters via individual and cohort based AIFs in prostate cancer: A step towards practical implementation. Magnetic Resonance Imaging 32(4):321-329. DOI: 10.1016/j.mri.2014.01.004
Publication Citation - Protocol
Hegde, J. V., Mulkern, R. V., Panych, L. P., Fennessy, F. M., Fedorov, A., Maier, S. E., & Tempany, C. M. C. (2013, April 18). Multiparametric MRI of prostate cancer: An update on state-of-the-art techniques and their performance in detecting and localizing prostate cancer. J. Magn. Reson. Imaging. Wiley-Blackwell. http://doi.org/10.1002/jmri.23860
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 26(6):1045-1057. DOI: 10.1007/s10278-013-9622-7
Other Publications Using This Data
TCIA maintains a list of publications which leverage our data. If you have a manuscript you'd like to add please contact TCIA's Helpdesk.
Version 1 (Current): Updated 2014/07/02
Data Type | Download all or Query/Filter |
---|---|
Images (DICOM, 4.4GB) | (Download requires the NBIA Data Retriever.) |