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QIN LUNG CT | QIN LUNG CT
DOI: 10.7937/K9/TCIA.2015.NPGZYZBZ | Data Citation Required | Image Collection
| Location | Species | Subjects | Data Types | Cancer Types | Size | Status | Updated |
|---|---|---|---|---|---|---|---|
| Lung | Human | 47 | CT | Non-small Cell Lung Cancer | Public, Complete | 2017/07/31 |
Summary
The Computed tomography (CT) Image data was obtained on patients diagnosed with Non-Small Cell Lung Cancer (NSCLC) with mixed stage & histology from the H. Lee Moffitt Cancer Center and Research Institute. Scans were obtained from patients who underwent surgical resection and had corresponding pre-surgery diagnostic CTs. The scans were de-identified following HIPAA guidelines to protect patient privacy. The data was shared with the QIN collaborators for research purpose complying with collaborative data sharing policy of the H. Lee Moffitt Total Cancer Care (TCC) . 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
Version 2: Updated 2017/07/31
Added DICOM for 37 new subjects
| Title | Data Type | Format | Access Points | Subjects | License | |||
|---|---|---|---|---|---|---|---|---|
| Images | CT | DICOM | Download requires NBIA Data Retriever |
47 | 47 | 47 | 3,954 | CC BY 3.0 |
Additional Resources for this Dataset
The NCI Cancer Research Data Commons (CRDC) provides access to additional data and a cloud-based data science infrastructure that connects data sets with analytics tools to allow users to share, integrate, analyze, and visualize cancer research data.
- Imaging Data Commons (IDC) (Imaging Data)
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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Goldgof, D., Hall, L., Hawkins, S., Schabath, M., Stringfield, O., Garcia, A., Balagurunathan, Y., Kim, J., Eschrich, S., Berglund, A., Gatenby, R., & Gillies, R. (2015). Data From QIN LUNG CT (version 2) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2015.NPGZYZBZ |
Data Citation |
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Kalpathy-Cramer J, Napel S, Goldgof D, Zhao B. (2015) QIN multi-site collection of Lung CT data with Nodule Segmentations. https://doi.org/10.7937/K9/TCIA.2015.1BUVFJR7
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Related Publications
Publications by the Dataset Authors
The authors recommended this paper as the best source of additional information about this dataset:
No publications by dataset authors were found.
Research Community Publications
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Previous Versions
Version 1: Updated 2014/12/17
| Title | Data Type | Format | Access Points | License | ||||
|---|---|---|---|---|---|---|---|---|
| Images | DICOM | Download requires NBIA Data Retriever |