- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06032390
Artificial Intelligence in Mammography Screening in Norway (AIMS Norway)
Artificial Intelligence in BreastScreen Norway - a Randomized Controlled Trial
Study Overview
Status
Conditions
Detailed Description
Independent double reading with consensus is the recommended practice for breast cancer screening programs in Europe. This is a time-consuming process and more than 99% of examinations are determined to have a negative final outcome in BreastScreen Norway. However, radiologist still overlook cancers, and review-studies have shown 20-25% of screen-detected and interval cancers to be visible at prior screening mammograms. In Norway and other countries, there is also a shortage of breast radiologists.
Retrospective studies on AI in mammographic screening have shown promising results in the classification of cancer negative and cancer positive examinations. However, prospective studies are needed to elucidate questions concerning AI as a support or replacement for the radiologists in the interpretation process.
In this randomized controlled trial women attending screening and consenting to participate in the study, will be randomized (1:1 allocation) to an intervention or a control group. The screening examination will be performed as usual in both groups. The intervention in the trial is the interpretation procedure.
All examinations will be analyzed by AI. In the intervention group, examinations will be triaged according to risk of malignancy defined by an AI score. Examinations with a low AI score (1-7) will have a single reading by one radiologist and examinations with a intermediate or high AI score (8-10) will have an independent double reading by two radiologists. All examinations selected by either one or both radiologist will be discussed at consensus. Examinations with an AI raw score of >9.8 will be discussed at consensus independent of the radiologists' interpretation. The radiologists will be blinded to whether the mammograms are interpreted by one or two radiologists. AI risk scores and AI image marking of suspicious calcifications and masses are only provided to the radiologists at consensus, not during independent reading. In the control group, two independent radiologists will interpret all screening examinations according to standard procedure, independent double reading. AI results will not be available at either independent reading or consensus, only for comparison with the intervention group in final analyses.
Screen-detected cancers in the intervention and control arm will be analyzed in terms of non-inferiority.
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Solveig Hofvind, PhD
- Phone Number: +47 22928828
- Email: sshh@kreftregisteret.no
Study Contact Backup
- Name: Åsne S Holen, MSc
- Email: asho@kreftregisteret.no
Study Locations
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Oslo, Norway
- Recruiting
- Cancer Registry of Norway, Norwegian Institute of Public Health
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Contact:
- Solveig Hofvind, PhD
- Phone Number: +4722928828
- Email: sshh@kreftregisteret.no
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Women attending the population-based mammography screening program BreastScreen Norway providing a signed, informed consent
Exclusion Criteria:
- Women attending the population-based mammography screening program BreastScreen Norway not providing a signed, informed consent
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Screening
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Double
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
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Experimental: Intervention arm
AI assisted mammography screening interpretation
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Screening examinations will be analyzed by the AI system (Transpara, ScreenPoint Medical, Nijmegen, The Netherlands) that assigns each examination a cancer risk score 1-10.
Examinations with a score 1-7 will be single read and examinations with score 8-10 will be double read.
Examinations selected by one or two readers will be discussed in a consensus meeting.
Examinations with an AI score of >9.8 will be selected for the consensus meeting by default.
AI risk scores and image markings are provided to the readers only in the consensus meetings.
The readers will decide whether to recall the woman for further assessment in consensus (standard procedure).
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Active Comparator: Control arm
Standard mammography screening interpretation (standard procedure)
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Screening examinations will be assessed according to standard of care: independently double read, examinations selected by one or two readers will be discussed in a consensus meeting, and the radiologists will decide whether to recall the woman for further assessment.
Screening examinations will be analyzed by the AI system retrospectively but the results will not be made available to the radiologist, only used for comparison to the intervention group in results analyses.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Screen-detected breast cancers
Time Frame: 36 months from study start-up
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Number of breast cancers detected at screening per 1000 screening examinations.
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36 months from study start-up
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Consensus rate
Time Frame: 24 months from study start-up
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Proportion of participant discussed in consensus among all participants (%).
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24 months from study start-up
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Recall rate
Time Frame: 24 months from study start-up
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Proportion of women recalled for further assessment among all participants (%).
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24 months from study start-up
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Interval breast cancers
Time Frame: 60 months from study start-up
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Number of interval breast cancers diagnosed per 1000 screening examinations.
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60 months from study start-up
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Prognostic and predictive tumor characteristics of screen-detected breast cancer
Time Frame: 36 months from study start-up
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Distribution of tumor characteristics among the participants with screen-detected breast cancer.
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36 months from study start-up
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Prognostic and predictive tumor characteristics of interval breast cancer
Time Frame: 60 months from study start-up
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Distribution of tumor characteristics among the participants with interval breast cancer.
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60 months from study start-up
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Sensitivity
Time Frame: 60 months from study start-up
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Proportion of true positives among true positive and false negatives (%).
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60 months from study start-up
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Specificity
Time Frame: 60 months from study start-up
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Proportion of true negatives among true negatives and false positives (%).
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60 months from study start-up
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Mammographic features of screen-detected breast cancer
Time Frame: 36 months from study start-up
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Distribution of characteristics of tumors observed on the mammograms of participants diagnosed with screen-detected breast cancer.
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36 months from study start-up
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Time spent screen-reading
Time Frame: 36 months from study start-up
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Time (minutes:seconds) spent by the individual radiologists interpreting screening mammograms
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36 months from study start-up
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Collaborators and Investigators
Investigators
- Principal Investigator: Solveig Hofvind, PhD, Norwegian Institute of Public Health
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 366405
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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