Efficiency of Determining the Clinical Class of Chronic Venous Disorders by Artificial Intelligence
NCT ID: NCT05978986
Last Updated: 2025-02-18
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
NA
1530 participants
INTERVENTIONAL
2023-08-25
2025-12-15
Brief Summary
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Materials and methods: Patients who applied to several phlebology clinics for an initial consultation are consistently included in a multicenter prospective study. At the appointment, a doctor with at least 5 years of experience takes photographs of the lower extremities and uploads them to the IVENUS application, which automatically determines the clinical class according to CEAP, without showing the results to the surgeon (blinding). Further, the doctor independently determines the clinical class according to CEAP and enters the data into the register.
The object of the study is a photograph of a certain area of the lower limb.
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Detailed Description
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Conditions
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Study Design
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NA
SINGLE_GROUP
SCREENING
DOUBLE
Interventions
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Determining of the clinical class of chronic venous disorders by artificial intelligence
The doctor takes pictures of the lower extremities and uploads them to the IVENUS application, which automatically determines the clinical class according to CEAP. Further, the doctor independently determines the clinical class according to CEAP and enters the data into the register.
Eligibility Criteria
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Inclusion Criteria
* Signed consent to take part in investigation.
Exclusion Criteria
* Skin diseases of the lower extremities;
* Immobilization.
ALL
No
Sponsors
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Clinic of Phlebology and Laser Surgery, Chelyabinsk, Russia
OTHER
Responsible Party
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Denis Borsuk
Director
Principal Investigators
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Denis Borsuk
Role: STUDY_CHAIR
VenoClinica, "Vasculab" ltd.
Locations
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Phlebolog ltd.
Perm, , Russia
Azbuka zdoroviya ltd.
Yekaterinburg, , Russia
Vasculab ltd.
Yekaterinburg, , Russia
Countries
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Central Contacts
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Facility Contacts
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Vladimir Denisov
Role: primary
Alexey Gasnikov
Role: primary
Denis Borsuk
Role: primary
Other Identifiers
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17122021
Identifier Type: -
Identifier Source: org_study_id
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