Localtab |
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active | true |
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title | Data Access |
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| Data AccessData Type | Download all or Query/Filter | License |
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Images (DICOM, 2820 GB2.82 TB) |
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url | https://wiki.cancerimagingarchive.net/download/attachments/157286463/EA1141%20October%202023%20manifest.tcia?api=v2 |
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label | Search |
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url | https://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=EA1141 |
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(Download requires NBIA Data Retriever) | | Clinical data (CSV, zip, 1.69 MB) |
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url | https://wiki.cancerimagingarchive.net/download/attachments/157286463/EA1141%20Reviewed%20Clinical%20Data%20%20and%20Data%20Dictionaries.zip?api=v2 |
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Click the Versions tab for more info about data releases. |
Localtab |
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title | Detailed Description |
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| Detailed DescriptionImage Statistics | Radiology Image Statistics |
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Modalities | CT, MG, MR | Number of Patients | 500 | Number of Studies | 1976 | Number of Series | 14340 | Number of Images | 855193 | Images Size (GB) | 2,820 |
De-identification of DICOM datesDe-identification of dates for this dataset was done prior to receipt and curation by TCIA in a method similar to the TCIA process. TCIA uses the DICOM Part 3.15 Annex E standard “Retain Longitudinal With Modified Dates Option” which allows dates to be retained as long as they are modified from the original date. TCIA implements this using a technique which de-identifies the dates while preserving the longitudinal relationship between them. Original dates were first normalized to 01 January, 1945 and then offset relative to the date of registration for each patient. This normalized date system was chosen in order to make it obvious that the dates are not real, and to make it easy to quickly determine how much time has passed between the date of registration and the patients' related imaging studies. For example, if the real date of a patient's registration was 03/27/2018 and the original imaging Study Date was 03/29/2018 then the "Days from registration" would be +2 and the anonymized TCIA Study Date would become 01/03/1945. Insertion of computed "REGISTRATION"/Days offset from registration" valueIn addition to modifying the actual date fields in the DICOM header, the "days from registration" values are calculated and stored in the DICOM tag (0012,0052) Longitudinal Temporal Offset from Event with the associated tag (0012,0053) Longitudinal Temporal Event Type set to “REGISTRATION”. Note: If these DICOM tags are not present, DICOM tag (0012,0050) Clinical Trial Time Point ID with the associated tag (0012,0051) Clinical Trial Time Point Description provides this same information. This inconsistency is due to a change in how dates were handled in the first NCTN trials that were published on TCIA. |
Localtab |
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title | Citations & Data Usage Policy |
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| Citations & Data Usage Policy Tcia limited license policy |
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Info |
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| Comstock, C. E., Gatsonis, C., Newstead, G. M., Snyder, B. S., Gareen, I. F., Bergin, J. T., Rahbar, H., Sung, J. S., Jacobs, C., Harvey, J. A., Nicholson, M. H., Ward, R. C., Holt, J., Prather, A., Miller, K. D., Schnall, M. D., & Kuhl, C. K. (2023). Abbreviated Breast MRI and Digital Tomosynthesis Mammography in Screening Women With Dense Breasts (EA1141) (Version 1) [dataset]. The Cancer Imaging Archive. https://doi.org/10.7937/2BAS-HR33 |
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title | Publication Citation |
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| Comstock, C. E., Gatsonis, C., Newstead, G. M., Snyder, B. S., Gareen, I. F., Bergin, J. T., Rahbar, H., Sung, J. S., Jacobs, C., Harvey, J. A., Nicholson, M. H., Ward, R. C., Holt, J., Prather, A., Miller, K. D., Schnall, M. D., & Kuhl, C. K. (2020). Comparison of Abbreviated Breast MRI vs Digital Breast Tomosynthesis for Breast Cancer Detection Among Women With Dense Breasts Undergoing Screening. In JAMA (Vol. 323, Issue 8, p. 746). American Medical Association (AMA). https://doi.org/10.1001/jama.2020.0572 |
Info |
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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 DataTCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk. |
Localtab |
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| Version 1 (Current): Updated 2023/10/02Data Type | Download all or Query/Filter | License |
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Images (DICOM, 2820 GB)
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url | https://wiki.cancerimagingarchive.net/download/attachments/157286463/EA1141%20October%202023%20manifest.tcia?api=v2 |
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label | Search |
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url | https://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=EA1141 |
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(Download requires the NBIA Data Retriever) | | Clinical data (CSV, zip) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/157286463/EA1141%20Reviewed%20Clinical%20Data%20%20and%20Data%20Dictionaries.zip?api=v2 |
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