Mammography Screening With Artificial Intelligence (MASAI)
NCT04838756 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 100000
Last updated 2026-04-02
Summary
The purpose of this randomized controlled trial is to assess whether AI can improve the efficacy of mammography screening, by adapting single and double reading based on AI derived cancer-risk scores and to use AI as a decision support in the screen reading, compared with conventional mammography screening (double reading without AI).
Conditions
Interventions
- OTHER
-
AI screening modality
Screen exam will be analysed with an AI system (Transpara, ScreenPoint, Nijmegen, The Netherlands) that assigns exams with a cancer-risk score from 1 to 10, as well as presenting CAD-marks at suspicious findings. Exams with risk score 1-9 will be single read and exam with score 10 will be double read. Risk scores and CAD-marks are provided to the reader(s). The reader(s) will decide whether to recall the woman for work-up or not (as per standard of care). In addition, exams with the highest 1% risk will by default be recalled with the exception of obvious false positives.
- OTHER
-
Conventional screening modality
Screen exams will be read by two radiologists without the support of AI.
Sponsors & Collaborators
-
Unilabs
collaborator UNKNOWN -
Norwegian Institute of Public Health
collaborator OTHER_GOV -
Region Skane
lead OTHER
Principal Investigators
-
Kristina Lång, MD PhD · Region Skåne
Study Design
- Allocation
- RANDOMIZED
- Purpose
- SCREENING
- Masking
- SINGLE
- Model
- PARALLEL
Eligibility
- Min Age
- 40 Years
- Max Age
- 74 Years
- Sex
- FEMALE
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2021-04-12
- Primary Completion
- 2024-12-07
- Completion
- 2025-08-12
Countries
- Sweden
Study Locations
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