QIN-BREAST-02 | QIN-BREAST-02
DOI: 10.7937/TCIA.2019.4cfm06rr | Page Accessibility: Public | Collection
| Location | Species | Subjects | Data Types | Cancer Types | Size | Status | Updated | |
|---|---|---|---|---|---|---|---|---|
| Breast | Human | 13 | MR | Breast Cancer | Clinical | Public, Complete | 2023/09/13 |
Summary
This data is from a multi-site, multi-parametric quantitative MRI study of adult (18+ years old) females diagnosed with invasive breast cancer. Subjects all had a lesion size >1cm in longest dimension and were undergoing neoadjuvant therapy. Participants were scanned prior to any therapy and then 2-3 times after the initiation of neoadjuvant therapy, depending upon their treatment regimen. All data sets were acquired with a research-only protocol, including: DWI (SE EPI), OGSE, qMT, B0 map, multi-flip T1 map, Bloch-Siegert B1 map, DCE, and a T1-weighted anatomical image.
This dataset is an extension of the original QIN-BREAST collection, with updated scan protocols and data collected at both Vanderbilt University Medical Center and the University of Chicago to demonstrate reproducible results at multiple sites (both using Philips 3T MR scanners).
Acknowledgements We would like to acknowledge the individuals and institutions that have provided data for this collection:
- Thomas E. Yankeelov, Ph.D. (University of Texas at Austin),
- Gregory S. Karczmar Ph.D. (University of Chicago),
- Richard G. Abramson, M.D. and Lori Arlinghaus, Ph.D. (Vanderbilt University Medical Center)
Data Access
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| Title | Data Type | Format | Access Points | License | |||
|---|---|---|---|---|---|---|---|
| Images | MR | DICOM | Requires NBIA Data Retriever |
34 | 235 | 31,790 | |
| Clinical Data | XLSX | CC BY 3.0 | |||||
| Acquisition Scan Parameters | XLSX | CC BY 3.0 |
Detailed Description
Not all participants completed all rounds of imaging. Clinical spreadsheets are available. Acquisition scan parameter tables are available.
Citations & Data Usage Policy
Data Citation |
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Yankeelov TE, Karczmar GS, Abramson RG. (2019) Data from QIN-BREAST-02[Dataset]. The Cancer Imaging Archive. doi: 10.7937/TCIA.2019.4cfm06rr |
TCIA Citation |
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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. In Journal of Digital Imaging (Vol. 26, Issue 6, pp. 1045–1057). Springer Science and Business Media LLC. https://doi.org/10.1007/s10278-013-9622-7 |
Other Publications Using This Data
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