...
A total of 20 data sets from this collection have been used for a multi-QIN center challenge, in which each participating site performed pharmacokinetic analysis of the breast DCE-MRI data using software tools/algorithms available to them. The shared data sets are from the V1 and V2 studies of 10 patients (BreastChemo 1, 5, 6, 8, 10, 12, 13, 14, 15, and 16) – 3 pathologic complete responders (pCRs) and 7 non-pCRs. The goal of the challenge was to evaluate variations in DCE-MRI assessment of breast cancer response to neoadjuvant chemotherapy caused by differences in software tools/algorithms only.
If your use of this collection results in a publication, we would appreciate if you cite the appropriate references and acknowledge the award that supported collection and sharing of these data sets (U01 CA154602, PI Wei Huang). Please see the published paper for details of the challenge.
Panel |
---|
|
Huang W, Li X, Chen Y, Li X, Chang MC, Oborski MJ, Malyarenko DI, Muzi M, Jajamovich GH, Fedorov A, Tudorica A, Gupta SN, Laymon CM, Marro KI, Dyvorne HA, Miller JV, Barbodiak DP, Chenevert TL, Yankeelov TE, Mountz JM, Kinahan PE, Kikinis R, Taouli B, Fennessy F, Kalpathy-Cramer J. Variations of dynamic contrast-enhanced magnetic resonance imaging in evaluation of breast cancer therapy response: a multicenter data analysis challenge. Trans Oncol 2014;7:153-166. PubMed PMID: 24772219; PubMed Central PMCID: PMC3998693. (link) |
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.
...
Localtab Group |
---|
Localtab |
---|
title | Detailed Description |
---|
| Detailed Description | |
---|
Modalities | MR, KO | Number of Patients | 10 | Number of Studies | 20 | Number of Series | 672 | Number of Images | 76,328 | Image Size (GB) | 49.5 |
Matlab and NIFTI DataAs part of the multi-QIN center challenge additional files were created to help facilitate participation. There are essentially two versions of the data available. These files are available inside of TCIA alongside the DICOM data, and are most easily accessed using one of the Shared Lists mentioned above. - Matlab - contains all relevant information including the raw image data, DICOM header info, and all other relevant parameters necessary to analyze the data for the challenge. There is no need to download the raw DICOM data if you prefer this format.
- DICOM + NIFTI - useful if you'd prefer to work in 3D Slicer or some other application which supports DICOM and NIFTI formats
Clinical DataPathologic response status for the patients: - Complete response
- QIN-Breast-DCE-MRI-BC05
- QIN-Breast-DCE-MRI-BC06
- QIN-Breast-DCE-MRI-BC15
- Non-complete response
- QIN-Breast-DCE-MRI-BC01
- QIN-Breast-DCE-MRI-BC08
- QIN-Breast-DCE-MRI-BC10
- QIN-Breast-DCE-MRI-BC12
- QIN-Breast-DCE-MRI-BC13
- QIN-Breast-DCE-MRI-BC14
- QIN-Breast-DCE-MRI-BC16
For inquiries on AIF (Arterial Input Function) used for pharmacokinetic analysis of the breast DCE-MRI data, users are encouraged to contact help@cancerimagingarchive.net who can direct you to Dr. Huang. |
Localtab |
---|
title | Citations & Data Usage Policy |
---|
| Citations & Data Usage Policy This collection is freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License. See TCIA's Data Usage Policies and Restrictions for additional details. Questions may be directed to help@cancerimagingarchive.net. Please be sure to include the following citations in your work and acknowledge the award that supported collection and sharing of these data sets (U01 CA154602, PI Wei Huang) if you use this data set: Info |
---|
title | QIN-Breast DCE-MRI Citation |
---|
| The Cancer Imaging Archive Team. Data From QIN-Breast DCE-MRIHuang W, Li X, Chen Y, Li X, Chang MC, Oborski MJ, Malyarenko DI, Muzi M, Jajamovich GH, Fedorov A, Tudorica A, Gupta SN, Laymon CM, Marro KI, Dyvorne HA, Miller JV, Barbodiak DP, Chenevert TL, Yankeelov TE, Mountz JM, Kinahan PE, Kikinis R, Taouli B, Fennessy F, Kalpathy-Cramer J. Variations of dynamic contrast-enhanced magnetic resonance imaging in evaluation of breast cancer therapy response: a multicenter data analysis challenge. doi:10.7937/K9/TCIA.20152014.PNVT2A29A2N1IXOX |
Info |
---|
| Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. 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. (paper) |
Info |
---|
title | Publication Citation |
---|
| Huang W, Li X, Chen Y, Li X, Chang MC, Oborski MJ, Malyarenko DI, Muzi M, Jajamovich GH, Fedorov A, Tudorica A, Gupta SN, Laymon CM, Marro KI, Dyvorne HA, Miller JV, Barbodiak DP, Chenevert TL, Yankeelov TE, Mountz JM, Kinahan PE, Kikinis R, Taouli B, Fennessy F, Kalpathy-Cramer J. Variations of dynamic contrast-enhanced magnetic resonance imaging in evaluation of breast cancer therapy response: a multicenter data analysis challenge. Trans Oncol 2014;7:153-166. PubMed PMID: 24772219; PubMed Central PMCID: PMC3998693. (link) |
Other Publications Using This DataTCIA maintains a list of publications which leverage our data. At this time we are not aware of any additional publications based on this data. If you have a publication you'd like to add please contact the TCIA Helpdesk. |
Localtab |
---|
| Version 1 (Current): Updated 2014/07/02Data Type | Download all or Query/Filter |
---|
Images (DICOM, 49.5GB) |
| Matlab (JNLP) | | DICOM + NIFTI (JNLP) | Image Added | Pathological Response | |
|
|