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EA1141

EA1141 | Abbreviated Breast MRI and Digital Tomosynthesis Mammography in Screening Women With Dense Breasts

DOI: 10.7937/2BAS-HR33 | Data Citation Required | Image Collection

Location Species Subjects Data Types Cancer Types Size Supporting Data Status Updated
Breast Human 500 CT, MG, MR Breast Cancer 2.82TB Clinical Public, Complete 2023/10/02

Summary

This collection contains data from the Eastern Cooperative Oncology Group (ECOG) Clinical Trial NCT02933489, “Abbreviated Breast MRI and Digital Tomosynthesis Mammography in Screening Women With Dense Breasts". Principal Investigator: Christopher Comstock.  It was sponsored by NCI and performed by the Eastern Cooperative Oncology Group under study number EA1141. This randomized phase II trial enrolled 1,516 subjects to study how well abbreviated breast magnetic resonance imaging (MRI) and digital tomosynthesis mammography work in detecting cancer in women with dense breasts. Imaging and clinical data from 500 of those subjects are being made available through this collection.

Trial Outcomes

Results of the trial have been reported in the following publication:

  • Comstock CE, Gatsonis C, Newstead GM, Snyder BS, Gareen IF, Bergin JT, Rahbar H, Sung JS, Jacobs C, Harvey JA, Nicholson MH, Ward RC, Holt J, Prather A, Miller KD, Schnall MD, Kuhl CK. Comparison of Abbreviated Breast MRI vs Digital Breast Tomosynthesis for Breast Cancer Detection Among Women With Dense Breasts Undergoing Screening. JAMA. 2020 Feb 25;323(8):746-756. doi: 10.1001/jama.2020.0572. Erratum in: JAMA. 2020 Mar 24;323(12):1194. 

Data Access

Version 1: Updated 2023/10/02

Title Data Type Format Access Points Subjects Studies Series Images License
Images MG, CT, MR DICOM
Download requires NBIA Data Retriever
500 1,976 14,340 855,193 CC BY 4.0
Clinical data CSV and ZIP CC BY 4.0

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.

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

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

Detailed Description

De-identification of DICOM dates

De-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” value

In 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.

Other Publications Using this Data

TCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you’d like to add please contact the TCIA Helpdesk.

Publication Citation

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

TCIA Citation

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