Breast screening cohort built around digital breast tomosynthesis (DBT), with biopsy-confirmed outcomes, prior and follow-up breast imaging, and free-text radiology reports from routine clinical practice.
Reconstructed slice from a digital breast tomosynthesis (DBT) screening exam. De-identified.




Screening and diagnostic breast imaging linked to biopsy-confirmed pathology, receptor status, and free-text radiology reports, with prior and follow-up exams aligned to the index DBT study.

Oncology / Women's Health
Breast cancer · screening and diagnostic population · BI-RADS 0, 1, and 2 · biopsy-confirmed malignant and benign cases included
271 cancer cases, all with pathology results; and 287 non-cancer cases
Digital breast tomosynthesis (DBT) · mammography · breast MRI · breast ultrasound
Demographics · free-text radiology reports · pathology and IHC reports · receptor status (ER, PR, HER2)
Radiology (DICOM) · pathology · nuclear medicine (DICOM)
Raw DICOMs and structured clinical data · HIPAA de-identified · Provenance documentation built into acquisition · Prior and follow-up breast exams linked to the index DBT study
Every case is stratified by biopsy-confirmed outcome. The malignant and benign balance supports training, validation, and performance benchmarking without additional cohort assembly.

271 patients: malignancy confirmed on biopsy, with linked pathology reports, IHC, and receptor status (ER, PR, HER2).
287 patients: non-cancer outcome confirmed on biopsy or through resolved screening callback, with linked imaging, radiology reports, and pathology.
From AI model development to screening performance analysis and radiogenomic research.

Train, enrich, or validate models for lesion detection and characterization on DBT, using biopsy-confirmed ground truth across malignant and benign cases.
Characterize real-world tomosynthesis performance against biopsy outcomes, including recall rates, BI-RADS distribution, and detection across breast density categories.
Review prior exams against subsequent malignant findings to characterize interval and missed cancers, supported by linked prior and follow-up breast imaging.
Build risk models for subsequent malignancy following a negative or indeterminate screening exam, using longitudinal imaging and confirmed outcomes.
Link quantitative imaging features to receptor status (ER, PR, HER2) and pathology for radiomic signature discovery and imaging–molecular correlation.
Stratify screening populations by imaging phenotype and receptor status to support clinical development and post-marketing surveillance in real-world settings.
Imaging, pathology, and molecular variables with linked prior and follow-up exams. Variable selection is tailored to your programme's endpoints and research objectives.

