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Artificial Intellignece-assisted diagnosis of cerebral aneurysms: multi-center, single blinded, prospective study

Status Approved

  • First Submitted Date

    2021/03/22

  • Registered Date

    2021/04/07

  • Last Updated Date

    2021/03/29

CRIS Required

WHO ICTRP (International Clinical Trial Registry Platform) Required

  • 1. Background

    Background - CRIS Registration Number, Unique Protocol ID, Public/Brief Title, Scientific Title, Acronym, MFDS Regulated Study, IND/IDE Protocol, Registered at Other Registry, Name of Registry/Registration Number
    CRIS
    Registration Number
    KCT0006065
    Unique Protocol ID 2014X21
    Public/Brief Title Artificial Intellignece-assisted diagnosis of cerebral aneurysms
    Scientific Title Artificial Intellignece-assisted diagnosis of cerebral aneurysms: multi-center, single blinded, prospective study
    Acronym AI-CA
    MFDS Regulated Study No
    IND/IDE Protocol No
    Registered at Other Registry No
    Healthcare Benefit Approval Status Not applicable
  • 2. Institutional Review Board / Ethics Committee

    Institutional Review Board Information
    Board Approval Status Submitted approval
    Board Approval Number 1-2020-0074
    Approval Date 2020-12-20
    Institutional Review Board Name Severance Hospital IRB
    Institutional Review Board Address Yonsei University Health System, 50-1 Yonsei-ro, Seodaemun-gu, Seoul
    Institutional Review Board Telephone 02-2228-0500
    Data Monitoring Committee No
  • 3. Contact Details

    Contact Details Information - Contact Person for Principal Investigator / Scientific Queries, Contact Person for Public Queries, Contact Person for Updating Information의 Name, Title, Email, Telephone, Cellular Phone, Affiliation, Address
    Contact Person for Principal Investigator / Scientific Queries
    Name Keun Young Park
    Title Dr.
    Telephone +82-2-2228-2150
    Affiliation Yonsei University
    Address Yonsei University Health System, 50-1 Yonsei-ro, Seodaemun-gu, Seoul
    Contact Person for Public Queries
    Name Keun Young Park
    Title Dr.
    Telephone +82-2-2228-2150
    Affiliation Yonsei University
    Address Yonsei University Health System, 50-1 Yonsei-ro, Seodaemun-gu, Seoul
    Contact Person for Updating Information
    Name Keun Young Park
    Title Dr.
    Telephone +82-2-2228-2150
    Affiliation Yonsei University
    Address Yonsei University Health System, 50-1 Yonsei-ro, Seodaemun-gu, Seoul
  • 4. Status

    Status Information - Study Site, Overall Recruitment Status, Date of First Enrollment, Status of First Enrollment, Target Number of Participant, Primary Completion Date, Recruitment Status by Participating Study Site, Name of Study Site, Recruitment Status, Date of First Enrollment, Status of First Enrollemnt
    Study Site Multi-center Number of center : 3
    Overall Recruitment Status Not yet recruiting
    Date of First Enrollment 2021-04-01 Anticipated
    Target Number of Participant 300
    Primary Completion Date 2022-02-28 , Anticipated
    Study Completion Date 2022-03-31 , Anticipated
    Recruitment Status by Participating Study Site 1
    Name of Study Yonsei University Health System, Severance Hospital
    Recruitment Status Not yet recruiting
    Date of First Enrollment 2021-04-01 ,
    Recruitment Status by Participating Study Site 2
    Name of Study Yonsei University Yongin Severance Hospital
    Recruitment Status Not yet recruiting
    Date of First Enrollment 2021-04-01 ,
    Recruitment Status by Participating Study Site 3
    Name of Study Ewha Womans University Seoul Hospital
    Recruitment Status Not yet recruiting
    Date of First Enrollment 2021-04-01 ,
  • 5. Source of Monetary / Material Support

    Source of Monetary / Material Support Information - Organization Name, Organization Type, Project ID
    1. Source of Monetary/Material Support
    Organization Name Ministry of Health & Welfare
    Organization Type Government
    Project ID 2014X21
  • 6. Sponsor Organization

    Sponsor Organization Information - Organization Name, Organization Type
    1. Sponsor Organization
    Organization Name Yonsei University
    Organization Type University
  • 7. Study Summary

    Study Summary Information
    Lay Summary
    Unruptured cerebral aneurysm is a typical cerebrovascular disease found in about 2% of the population. Upon rupture of a cerebral aneurysm, 50 to 60% of patients have death or severe disability. Therefore, early detection and active treatment of cerebral aneurysms is important for public health.
      On the other hand, brain MR image data for diagnosing a cerebral aneurysm is increasing exponentially, but the number of radiologists specializing in neuroimaging who can accurately read it is limited. As a result, inaccurate readings and time consumption by non-professionals degrade the quality of medical care, and eventually, it remains intact as damage to medical consumers. Therefore, there is a need for brain image processing and decision-making assistance using artificial intelligence for accurate and fast reading of brain MR. This study verifies the effectiveness of the artificial intelligence medical device (DEEP:NEURO-CA-01, Deepnoid Co., Ltd.) approved by the Ministry of Food and Drug Safety in the actual clinical medical field, and secures the improvement and stability of the software. In the end, it aims for the world's first commercialization as an auxiliary software for cerebral aneurysm diagnosis.
  • 8. Study Design

    Study Design Information - Study Type, Observational Study Model, Time Perspective, Target Number of Participant, Cohort/Group Number, Cohort/Group, Cohort/Group Label, Cohort/Group Description, Biospecimen Collection & Archiving, Biospecimen Description
    Study Type Observational Study
    Observational Study Model Case-control
    Time Perspective Prospective  
    Target Number of Participant 300
    Cohort/Group Number 1
    Cohort/
    Group 1

    Cohort/Group Label

    Adult patients with unruptured cerebral aneurysms and normal adults

    Cohort/Group Description

    Adults over 19 years of age who visit Severance Hospital, Yongin Severance Hospital, and Ewha Womans University Seoul Hospital Neurosurgery Department.
    The TOF MRA was collected from the group that agreed to the study, and the results on the presence and location of a cerebral aneurysm, and reading time were collected and compared between the groups that were read using artificial intelligence and those that did not.
    Biospecimen
    Collection & Archiving
    Not collect nor Archive
    Biospecimen Description
  • 9. Subject Eligibility

    Subject Eligibility Information
    Study Population Description
    Adults over 19 years of age who visit Severance Hospital, Yongin Severance Hospital, and Ewha Womans University Seoul Hospital Neurosurgery Department.
    Sampling Method
    When the sensitivity is 0.748 in unaided, 0.852 in aided, and the discrepancy rate is 0.325, the minimum number of subjects required is 251, and 300 people will be competitively recruited from three institutions considering 20% dropout.
    Condition(s)/Problem(s) * (I00-I99)Diseases of the circulatory system 
       (I67.1)Cerebral aneurysm, nonruptured 

    Unruptured Cerebral Aneurysm
    Rare Disease No
    Inclusion Criteria

    Gender

    Both

    Age

    19Year~75Year

    Description

    ① Adults of Korean nationality aged 19 years or older and under 75 years of age who have undergone cerebrovascular magnetic resonance imaging (MRA).
    ② MRA is limited to those photographed using the time-of-flight (TOF) technique.
    ③ The magnetic field strength of the MRA image should be taken at 1.5T or 3T.
    ④ Cerebral aneurysm is limited to saccular aneurysms.
    ⑤ When the patient himself/herself consents to this study
    Exclusion Criteria
    ① In case of rupture or deviating from normal anatomical structure due to hematoma
    ② If a fusiform, detachable, or infectious cerebral aneurysm is suspected
    ③ If you have already been treated
    Healthy Volunteers Yes
  • 10. Outcome Measure(s)

    Outcome Measure(s) Information - Type of Primary Outcome, Primary Outcome, Outcome, Timepoint, Secondary Outcome, Outcome, Timepoint
    Type of Primary Outcome Efficacy
    Primary Outcome(s) 1
    Outcome
    Improvement of diagnositicperformance of researcher
    Timepoint
    Within 1 year after the end of research subject selection
    Secondary Outcome(s) 1
    Outcome
    Time spent on researcher's diagnosis
    Timepoint
    Within 1 year after the end of research subject selection
    Secondary Outcome(s) 2
    Outcome
    Diagnosis performance of artificial intelligence software
    Timepoint
    Within 1 year after the end of research subject selection
  • 11. Study Results and Publication

    Study Results and Publication Information - Result Registered, Final Enrollment Number, Number of Publication, Publications, Results Upload, Date of Posting Results, Protocol URL or File Upload, Brief Summary
    Result Registered No
  • 12. Sharing of Study Data(Deidentified Individual-Patient Data, IPD)

    Sharing of Study Data Information - Sharing Statement, Time of Sharing, Way of Sharing
    Sharing Statement No
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