Artificial Intelligence in Mammography Screening in Norway (AIMS Norway)
Primary Purpose
Breast Cancer
Status
Not yet recruiting
Phase
Not Applicable
Locations
Study Type
Interventional
Intervention
AI assisted mammography screening interpretation
Standard mammography screening interpretation
Sponsored by

About this trial
This is an interventional screening trial for Breast Cancer focused on measuring Breast Cancer Screening, Digital Mammography, Artificial Intelligence, Randomized Controlled Trial
Eligibility Criteria
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, or with breast implants
Sites / Locations
Arms of the Study
Arm 1
Arm 2
Arm Type
Experimental
Active Comparator
Arm Label
Intervention arm
Control arm
Arm Description
AI assisted mammography screening interpretation
Standard mammography screening interpretation (standard procedure)
Outcomes
Primary Outcome Measures
Screen-detected breast cancers
Number of breast cancers detected at screening per 1000 screening examinations.
Secondary Outcome Measures
Consensus rate
Proportion of participant discussed in consensus among all participants (%).
Recall rate
Proportion of women recalled for further assessment among all participants (%).
Interval breast cancers
Number of interval breast cancers diagnosed per 1000 screening examinations.
Prognostic and predictive tumor characteristics of screen-detected breast cancer
Distribution of tumor characteristics among the participants with screen-detected breast cancer.
Prognostic and predictive tumor characteristics of interval breast cancer
Distribution of tumor characteristics among the participants with interval breast cancer.
Sensitivity
Proportion of true positives among true positive and false negatives (%).
Specificity
Proportion of true negatives among true negatives and false positives (%).
Mammographic features of screen-detected breast cancer
Distribution of characteristics of tumors observed on the mammograms of participants diagnosed with screen-detected breast cancer.
Time spent screen-reading
Time (minutes:seconds) spent by the individual radiologists interpreting screening mammograms
Full Information
NCT ID
NCT06032390
First Posted
July 5, 2023
Last Updated
September 4, 2023
Sponsor
Cancer Registry of Norway
Collaborators
Helse Vest, Helse Midt-Norge, Helse Nord, Norwegian Cancer Society
1. Study Identification
Unique Protocol Identification Number
NCT06032390
Brief Title
Artificial Intelligence in Mammography Screening in Norway
Acronym
AIMS Norway
Official Title
Artificial Intelligence in BreastScreen Norway - a Randomized Controlled Trial
Study Type
Interventional
2. Study Status
Record Verification Date
June 2023
Overall Recruitment Status
Not yet recruiting
Study Start Date
January 2024 (Anticipated)
Primary Completion Date
December 2026 (Anticipated)
Study Completion Date
June 2033 (Anticipated)
3. Sponsor/Collaborators
Responsible Party, by Official Title
Sponsor
Name of the Sponsor
Cancer Registry of Norway
Collaborators
Helse Vest, Helse Midt-Norge, Helse Nord, Norwegian Cancer Society
4. Oversight
Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Product Manufactured in and Exported from the U.S.
No
Data Monitoring Committee
Yes
5. Study Description
Brief Summary
The purpose of this randomized controlled trial is to compare the number of breast cancers detected among women who had their screening mammograms interpreted by artificial intelligence (AI) in combination with one or two breast radiologists to the number of breast cancers detected after standard independent double reading in BreastScreen Norway. The aims of the study is to prove that screening interpretation with AI in combination with one or two radiologists (the intervention) is non-inferior to standard interpretation procedure.
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 will have a single reading by one radiologist and examinations with a intermediate or high AI score 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 or above 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.
6. Conditions and Keywords
Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Breast Cancer
Keywords
Breast Cancer Screening, Digital Mammography, Artificial Intelligence, Randomized Controlled Trial
7. Study Design
Primary Purpose
Screening
Study Phase
Not Applicable
Interventional Study Model
Parallel Assignment
Model Description
Participants will be randomized to an intervention or control arm. AI aided interpretation will be used in the intervention arm but not in the control arm.
Masking
ParticipantCare Provider
Masking Description
Neither the participant nor the radiologic technician performing the mammography examination will know to what study arm the participant was allocated. Radiologists reading the screening examinations will be blinded to the intervention at initial reading but not at consensus.
Allocation
Randomized
Enrollment
150000 (Anticipated)
8. Arms, Groups, and Interventions
Arm Title
Intervention arm
Arm Type
Experimental
Arm Description
AI assisted mammography screening interpretation
Arm Title
Control arm
Arm Type
Active Comparator
Arm Description
Standard mammography screening interpretation (standard procedure)
Intervention Type
Other
Intervention Name(s)
AI assisted mammography screening interpretation
Intervention Description
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 consensus. Examinations with an AI score of 9.8 and above will be selected to consensus by default. Risk scores and AI image markings are provided to the readers only in consensus. The readers will decide whether to recall the woman for further assessment in consensus (standard procedure).
Intervention Type
Other
Intervention Name(s)
Standard mammography screening interpretation
Intervention Description
Screening examinations will be assessed according to standard of care: independently double read, examinations selected by one or two readers will be discussed in consensus, and the readers will decide whether to recall the woman for further assessment. Screening examinations will be analyzed by the AI system but the results will not be made available to the radiologist, only used for comparison to the intervention group in results analyses.
Primary Outcome Measure Information:
Title
Screen-detected breast cancers
Description
Number of breast cancers detected at screening per 1000 screening examinations.
Time Frame
36 months from study start-up
Secondary Outcome Measure Information:
Title
Consensus rate
Description
Proportion of participant discussed in consensus among all participants (%).
Time Frame
24 months from study start-up
Title
Recall rate
Description
Proportion of women recalled for further assessment among all participants (%).
Time Frame
24 months from study start-up
Title
Interval breast cancers
Description
Number of interval breast cancers diagnosed per 1000 screening examinations.
Time Frame
60 months from study start-up
Title
Prognostic and predictive tumor characteristics of screen-detected breast cancer
Description
Distribution of tumor characteristics among the participants with screen-detected breast cancer.
Time Frame
36 months from study start-up
Title
Prognostic and predictive tumor characteristics of interval breast cancer
Description
Distribution of tumor characteristics among the participants with interval breast cancer.
Time Frame
60 months from study start-up
Title
Sensitivity
Description
Proportion of true positives among true positive and false negatives (%).
Time Frame
60 months from study start-up
Title
Specificity
Description
Proportion of true negatives among true negatives and false positives (%).
Time Frame
60 months from study start-up
Title
Mammographic features of screen-detected breast cancer
Description
Distribution of characteristics of tumors observed on the mammograms of participants diagnosed with screen-detected breast cancer.
Time Frame
36 months from study start-up
Title
Time spent screen-reading
Description
Time (minutes:seconds) spent by the individual radiologists interpreting screening mammograms
Time Frame
36 months from study start-up
10. Eligibility
Sex
Female
Minimum Age & Unit of Time
50 Years
Maximum Age & Unit of Time
69 Years
Accepts Healthy Volunteers
Accepts Healthy Volunteers
Eligibility Criteria
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, or with breast implants
Central Contact Person:
First Name & Middle Initial & Last Name or Official Title & Degree
Solveig Hofvind, PhD
Phone
22928828
Ext
+47
Email
sshh@kreftregisteret.no
First Name & Middle Initial & Last Name or Official Title & Degree
Åsne S Holen, MSc
Email
asho@kreftregisteret.no
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Solveig Hofvind, PhD
Organizational Affiliation
Cancer Registry of Norway
Official's Role
Principal Investigator
12. IPD Sharing Statement
Plan to Share IPD
No
IPD Sharing Plan Description
Data will not be shared outside the project group.
Learn more about this trial
Artificial Intelligence in Mammography Screening in Norway
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