- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05612217
Evaluation of the AIVARIX in Detecting Signs C 1-2 Classes of CVD (AIVARIX)
A Study to Evaluate a Accuracy of the AIVARIX AI-based Application in Detecting Signs C 1-2 Classes of CVD in Outpatients Seeking Consultancy of Phlebologists in the Russian Federation
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
The main goal of this study is to describe the AIVARIX app accuracy in detecting C1 and C2 classes by CEAP classification of chronic venous disease (CVD) in patients who are consulted by phlebologists on symptoms and signs suggestive to CVD.
At single visit, investigating physicians (phlebologists) will be assessing and collecting parameters of interest which they should input in eCRF.
Following data will be collected at the visit: a signed consent form from a patient, demographic characteristics (age, sex), eligibility of a patient to the inclusion/ non-inclusion criteria, 1 (one) image of skin area of interest, conclusion on presence or absence of CVD or any other pathologic condition(s) made as a result of objective/ instrumental examination. In case there will be any information related to safety of a Servier drug provided, investigating physician will also collect the information and fill in the PV form (Appendix 1).
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Contact
- Name: Olga Linnik
- Phone Number: +7 495 9370700
- Email: olga.linnik@servier.com
Study Locations
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Moscow, Russian Federation
- Pirogov Russian National Research Medical University
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Age over 18 years
- Written informed consent is provided
- Symptoms and signs of CVD or any other skin pathologic condition (s) of lower extremities for which a patient seeks for phlebologist's consultation
- Ability to fulfil the technical requirements for smartphones/ images
Exclusion Criteria:
- Patients with mental/ psychiatric disabilities who are not able to understand objectives of the study and therefore provide a signed consent to participate in the study.
- Patient's decision to withdraw his/her consent to participate in the study at any moment of the study conduction
Study Plan
How is the study designed?
Design Details
- Observational Models: Other
- Time Perspectives: Cross-Sectional
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
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patients with CVD
20 patients per 1 center: patients with CVD C1 class 4 patients with CVD C2 class; 2 patients with CVD with classes other than C1-C2 (C4-C6); 8 patients with either C0s CVD or with skin pathologic conditions of lower extremities other than CVD;
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to estimate Sensitivity and Specificity of the AI-based AIVARIX app in detecting C1 and C2 classes of CVD in patients who are seeking for professional advice from a phlebologist regarding symptoms and signs suggestive to CVD.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Evaluation of Sensitivity (Sn) of the AI-based AIVARIX app in detecting C1 and C2 classes of CVD in patients who are seeking for professional advice from a phlebologist regarding symptoms and signs suggestive to CVD.
Time Frame: 1 month
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Sensitivity is defined as the ratio of the number of positive cases of detection of signs of C1 or C2 CVD, identified using the AIVARIX tool, to the total number of truly positive cases of C1 or C2 CVD in the study population, confirmed by phlebologists using objective / instrumental examinations.
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1 month
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Evaluation of Specificity (Sp) of the AI-based AIVARIX app in detecting C1 and C2 classes of CVD in patients who are seeking for professional advice from a phlebologist regarding symptoms and signs suggestive to CVD
Time Frame: 1 month
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Specificity is defined as a proportion of the number of negative cases of signs C1 or C2 classes of CVD identified by the AIVARIX tool divided to overall truly negative cases of C1 or C2 in the study population confirmed by phlebologists by means of objective/ instrumental examination.
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1 month
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Calculation of the positive predictive values (PPV) a of AIVARIX in detecting signs of C1 and C2 classes of chronic venous disease.
Time Frame: 1 month
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PPV is defined as the proportion of true positive cases of class C1 or C2 CVD detected using AIVARIX as a proportion of the number of true positive and false positive cases of class C 1 or C 2 identified using the AIVARIX application and confirmed by phlebologists.
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1 month
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Calculation of the negative predictive values (PPV) a of AIVARIX in detecting signs of C1 and C2 classes of chronic venous disease.
Time Frame: 1 month
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The NPV is defined as the ratio of the number of true negative cases of C 1 or C 2 CVD detected using AIVARIX to the true negative and false negative cases of C 1 or C 2 CVD detected using AIVARIX and confirmed by phlebologists.
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1 month
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Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: IGOR ZOLOTUKHIN, Pirogov Russian National Research Medical University
Study record dates
Study Major Dates
Study Start (Anticipated)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
- IC4-05682-071-RUS
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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