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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
Cancer Registry of Norway
About
Eligibility
Locations
Arms
Outcomes
Full info

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

50 Years - 69 Years (Adult, Older Adult)FemaleAccepts Healthy Volunteers

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

    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
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    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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