BreastDCEDL_ISPY2 Dataset (n=982)

The BreastDCEDL_ISPY2 dataset is a curated subset of the I-SPY2 trial, comprising 982 breast cancer cases with pre-treatment DCE-MRI scans. It includes:

• DCE-MRI sequences (3–12 time points per scan, typically 7)
• Derived maps and full 3D tumor segmentations
• Clinical annotations: pathological complete response (pCR), hormone receptor (HR) status, HER2 status, MammaPrint risk level, and age at screening

Demo: https://github.com/naomifridman/BreastDCEDL/blob/main/ISPY2/BrestDCEDL_ISPY2_demo.ipynb

Citation

@article{fridman2026breastdcedl,
  author    = {Fridman, N. and Solway, B. and Fridman, T. and others},
  title     = {{BreastDCEDL}: A standardized deep learning-ready breast {DCE-MRI} dataset of 2,070 patients},
  journal   = {Scientific Data},
  year      = {2026},
  doi       = {10.1038/s41597-026-06589-6},
  url       = {https://doi.org/10.1038/s41597-026-06589-6}
}

Dataset Specifications

• Total Patients: 982

• Total Size: ~54 GB

• Image Format: NIfTI (.nii.gz)

• Clinical Centers: 22+ institutions

File Organization

BreastDCEDL_ISPY2/

├── BreastDCEDL_ISPY2_metadata.csv         # Clinical and demographic data

├── dce/                                                               # DCE-MRI sequences

│   ├── ACRIN-6698-102212/

│   │   ├── ACRIN-6698-102212_spy2_vis1_dce_aqc_0.nii.gz   # Pre-contrast

│   │   ├── ACRIN-6698-102212_spy2_vis1_dce_aqc_1.nii.gz   # Post-contrast 1

│   │   ├── ACRIN-6698-102212_spy2_vis1_dce_aqc_2.nii.gz   # Post-contrast 2

│   │   ├── ACRIN-6698-102212_spy2_vis1_dce_aqc_3.nii.gz   # Post-contrast 3

│   │   ├── ACRIN-6698-102212_spy2_vis1_dce_aqc_4.nii.gz   # Post-contrast 4

│   │   ├── ACRIN-6698-102212_spy2_vis1_dce_aqc_5.nii.gz   # Post-contrast 5

│   │   └── ACRIN-6698-102212_spy2_vis1_dce_aqc_6.nii.gz   # Post-contrast 6

│   ├── ACRIN-6698-103939/

│   │   └── ... (3-12 DCE time points, typically 7)

│   └── ... (982 patient directories total)

└── masks/                                  # Tumor segmentations

    ├── ACRIN-6698-102212_spy2_vis1_mask.nii.gz

    ├── ACRIN-6698-103939_spy2_vis1_mask.nii.gz

    └── ... (982 binary mask files)

Data Components

Example of all acquisitions for random 7 patients, whith all the acquisitions.

Resources

Demo: https://github.com/naomifridman/BreastDCEDL/blob/main/ISPY2/BrestDCEDL_ISPY2_zenodo_demo.ipynb

Full Methodology: Fridman et al., 2025 - arXiv:2506.12190 https://arxiv.org/abs/2506.12190

Citation

@article{fridman2025breastdcedl, title={BreastDCEDL: A Comprehensive Breast Cancer DCE-MRI Dataset and Transformer Implementation for Treatment Response Prediction}, author={Fridman, Naomi and Solway, Bubby and Fridman, Tomer and Barnea, Itamar and Goldstein, Anat}, journal={arXiv preprint arXiv:2506.12190}, year={2025}, doi={10.48550/arXiv.2506.12190} }