Independent, External, Blinded Retrospective Validation of an AI-based Prognostic Assay in ER-Positive/HER2-Negative Early Breast Cancer
NCT07541703 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 2200
Last updated 2026-04-21
Summary
This retrospective observational study evaluates the prognostic performance of a locked Artificial Intelligence (AI)-based assay in patients with Estrogen Receptor (ER)-positive, Human Epidermal Growth Factor Receptor 2 (HER2)-negative early breast cancer (EBC) from Austrian Breast \& Colorectal Cancer Study Group (ABCSG)-8, with extended follow-up from ABCSG-16 where available. ABCSG will provide digitized hematoxylin and eosin (H\&E) slides and required baseline clinicopathologic variables to Spotlight Medical without outcome data for blinded assay inference. ABCSG will then perform the prespecified statistical analyses linking assay outputs to clinical outcomes.
Conditions
- Breast Cancer
- Early Breast Cancer
- ER-Positive HER2-Negative Breast Cancer
Interventions
- DIAGNOSTIC_TEST
-
Locked AI-based prognostic assay
A locked AI-based assay applied to one digitized H\&E-stained surgical resection slide and routine baseline clinicopathologic variables to generate a continuous prognostic score and predefined risk categories.
Sponsors & Collaborators
-
Austrian Breast & Colorectal Cancer Study Group
collaborator NETWORK -
Spotlight Medical
lead INDUSTRY
Principal Investigators
-
Michael Gnant, Univ.-Prof. Dr. · Medical University of Vienna
-
Martin Filipits, Assoc.Prof.Univ.-Doz.Mag.Dr. · Medical University of Vienna
Eligibility
- Min Age
- 18 Years
- Max Age
- 80 Years
- Sex
- FEMALE
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2026-04-01
- Primary Completion
- 2027-03-31
- Completion
- 2028-03-31
Countries
- Austria
Study Locations
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