Summary
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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.
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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.
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Data Access
Imaging Data
Collection Statistics | (updated 7/2/2014) |
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Modalities | MR, KO |
Number of Patients | 10 |
Number of Studies | 20 |
Number of Series | 672 |
Number of Images | 76,328 |
If you are unsure how to download this collection, please view Searching by Collection or refer to our TCIA's User's Guide for more detailed instructions on using the site.
Shared Lists
There are two Shared Lists available which relate to the multi-QIN center challenge referenced above. More information about the Matlab and NIFTI data is found below.
- QIN Breast DCE-MRI Challenge - Matlab format
- QIN Breast DCE-MRI Challenge - DICOM + NIFTI format
Matlab and NIFTI Data
As 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 Data
Pathologic 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.
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