- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03621462
Elucid Labs AIDA™ - Labelled Image Acquisition Protocol
Acquiring Images of Pigmented Skin Lesions With the Artificial Intelligence Dermatology Assistant (AIDA™) and Concurrent in Vivo Assessment for the Evaluation of Diagnostic Accuracy
Study Overview
Status
Intervention / Treatment
Detailed Description
Study Type
Enrollment (Anticipated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Behnoud Kazemzadeh
- Phone Number: 647-467-0706
- Email: behnoud@elucidlabs.ca
Study Locations
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Alberta
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Calgary, Alberta, Canada, T3C2G2
- Total Skincare Centre
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Contact:
- John Arlette, MD
- Phone Number: 403-216-4685
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Is 18 years of age or older
- Has provided informed consent to participate in the study
Is being evaluated by a dermatologist for at least one pigmented skin lesionscheduled for biopsy and meeting the following:
- Has a diameter of at least 1 mm and at most 10 mm
- Is accessible to the study device (allows for complete seal of device with skin-ie. no ambient light leakage)
- Is not within 1 cm of the eyes, on mucosal surfaces, palmar hands, plantarfeet, or under nails
- Is intact (eg. no open sores, ulcers, bleeding)
- Has not previously been biopsied, excised or traumatized
- Does not contain visible scarring or foreign material (eg. tattoos, etc.)
Exclusion Criteria:
1. Any allergy to isopropyl alcohol
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Acquisition of Lesion Images with AIDA
Subjects presenting with atypical skin lesions referred for biopsy will have their lesion imaged using the Artificial Intelligence Dermatology Assistant (AIDA™) study device
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The Artificial Intelligence Dermatology Assistant (AIDA™) collects conventional demoscopic images and images at various spectral bands.
Following image acquisition, the AIDA™ software presents users with (1) similar lesion images from the International Skin Imaging Collaboration archive, (2) Hypodermoscopy™ images, and (3) images providing an indication of lesion depth, based on the spectral data.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Sensitivity of in-clinic dermatologist diagnosis using AIDA™ compared to standard dermoscopy and physical examination alone
Time Frame: Average of 4 weeks
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The investigator will review the standard dermoscopy image for the lesion, score it according to the ABCD rule, and state their diagnosis (malignant, dysplastic, or benign) and their diagnostic confidence using a visual analog scale. Subsequently, the investigator will review the AIDA™ outputs and again state their diagnosis and confidence. The sensitivity of those in-clinic diagnoses will be determined by using the definitive diagnoses established in the histopathology reports. The sensitivity of a diagnostic technique determines the probability of a positive test result in a person who has the disease. This is defined according to the equation: TP/(TP + FN) . In this equation, TP is the number of true-positive and FN is the number of false-negative results. |
Average of 4 weeks
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Specificity of in-clinic dermatologist diagnosis using AIDA™ compared to standard dermoscopy and physical examination alone
Time Frame: Average of 4 weeks
|
The investigator will review the standard dermoscopy image for the lesion, score it according to the ABCD rule, and state their diagnosis (malignant, dysplastic, or benign) and their diagnostic confidence using a visual analog scale. Subsequently, the investigator will review the AIDA™ outputs and again state their diagnosis and confidence. The specificity of those in-clinic diagnoses will be determined by using the definitive diagnoses established in the histopathology reports. The specificity of a diagnostic technique refers to the probability of a negative test result in a person who does not have the disease according to the equation: TN/(TN + FP). In this equation, TN is the number of true-negative and FP is the number of false-positive results. |
Average of 4 weeks
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Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Concordance of investigators' AIDA™-based lesion depth estimate to actual depth measurement on biopsy report
Time Frame: Average of 4 weeks
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For all melanoma lesions biopsied in toto (completely excised), the lesion depth is stated within the histopathology report.
As this cannot be established prior to biopsy, the investigator will estimate the depth of all lesions referred based on the AIDA™ software output.
The concordance of that estimate will be compared to the actual depth stated in the histopathology reports for melanoma lesions biopsied in toto.
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Average of 4 weeks
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Overall diagnostic accuracy (AUC of the ROC) of in-clinic dermatologist diagnosis using AIDA™ compared to standard dermoscopy and physical examination alone
Time Frame: Average of 4 weeks
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Based on the sensitivity and specificity of dermatologists established when using AIDA™ output vs. standard dermoscopy and physical examination alone images, receiver operating characteristic (ROC) curves will be generated.
The diagnostic accuracy, also known as the area under the curve (AUC) of the ROC will be calculated for each ROC curve and compared.
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Average of 4 weeks
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Positive and Negative predictive values (PPV and NPV) of in-clinic dermatologist diagnosis using AIDA™ compared to standard dermoscopy and physical examination alone
Time Frame: Average of 4 weeks
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The predictive value of a diagnostic test is important in determining the applicability of the diagnostic technique. The positive predictive value (PPV) is determined by the equation TP/(TP + FP) and is the probability that a patient has the condition given a positive test result. The negative predictive value (NPV) is determined by the equation TN/(TN + FN) and is the probability that a patient does not have the condition given a negative test result. The investigator will review the standard dermoscopy image for the lesion, score it according to the ABCD rule, and state their diagnosis (malignant, dysplastic, or benign) and their diagnostic confidence using a visual analog scale. Subsequently, the investigator will review the AIDA™ outputs and again state their diagnosis and confidence. The PPV and NPV of those in-clinic diagnoses will be determined by using the definitive diagnoses established in the histopathology reports. |
Average of 4 weeks
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: John Arlette, MD, Total Skincare Centre
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
Additional Relevant MeSH Terms
Other Study ID Numbers
- AIDA-PRO-001
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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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