Decision Impact Study of PreciseDx Breast
NCT06309615 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 300
Last updated 2025-05-29
Summary
The investigator's developed a digital LDT to predict invasive breast cancer (IBC) recurrence within 6 years by combining histologic features extracted from an H\&E image of the patients IBC with clinical data including the patients age, tumor size, stage and number of positive lymph nodes. The development of an artificial-intelligent (AI)-grade provides not only an objective, quantitative advancement of classical breast cancer grading but also improves upon the accuracy and utility of clinical risk. The investigator's sought to understand how such a PreciseDx Breast would be used in clinical practice post-surgical resection for women with early-stage IBC.
Conditions
Interventions
- OTHER
-
Standard of Care
To use the patients age, tumor size, grade, and lymph node status and any genomic tests (i.e. OncotypeDx, MammaPrint etc to determine risk of recurrence,
Sponsors & Collaborators
-
Mount Sinai Hospital, New York
collaborator OTHER -
Precise Dx, Inc.
lead INDUSTRY
Principal Investigators
-
Gregory S Henderson, MD, PhD · MOUNT SINAI HOSPITAL
Eligibility
- Min Age
- 23 Years
- Sex
- FEMALE
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2025-08-31
- Primary Completion
- 2026-08-31
- Completion
- 2029-05-30
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