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
1 other identifier
interventional
4,000
1 country
1
Brief Summary
Diagnosis of melanoma involves physical examination of the lesion with many dermatologists adjunctively employing dermoscopes. The rate of misdiagnosis of melanoma remains significant, along with a high rate of referral to biopsy. Elucid Labs (Waterloo, Ontario) has developed a novel handheld, digital dermoscope with accompanying visualization and analysis software - the Artificial Intelligence Dermatology Assistant (AIDA™). Apart from collecting conventional demoscopic images, AIDA also collects images at various spectral bands. The aim of this study is to understand and quantify the value of this novel adjunctive information for dermatologists diagnosing atypical skin lesions.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Oct 2018
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
August 1, 2018
CompletedFirst Posted
Study publicly available on registry
August 8, 2018
CompletedStudy Start
First participant enrolled
October 15, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 1, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
October 15, 2020
CompletedAugust 8, 2018
August 1, 2018
1.9 years
August 1, 2018
August 3, 2018
Conditions
Outcome Measures
Primary Outcomes (2)
Sensitivity of in-clinic dermatologist diagnosis using AIDA™ compared to standard dermoscopy and physical examination alone
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
Specificity of in-clinic dermatologist diagnosis using AIDA™ compared to standard dermoscopy and physical examination alone
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
Other Outcomes (3)
Concordance of investigators' AIDA™-based lesion depth estimate to actual depth measurement on biopsy report
Average of 4 weeks
Overall diagnostic accuracy (AUC of the ROC) of in-clinic dermatologist diagnosis using AIDA™ compared to standard dermoscopy and physical examination alone
Average of 4 weeks
Positive and Negative predictive values (PPV and NPV) of in-clinic dermatologist diagnosis using AIDA™ compared to standard dermoscopy and physical examination alone
Average of 4 weeks
Study Arms (1)
Acquisition of Lesion Images with AIDA
EXPERIMENTALSubjects presenting with atypical skin lesions referred for biopsy will have their lesion imaged using the Artificial Intelligence Dermatology Assistant (AIDA™) study device
Interventions
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.
Eligibility Criteria
You may qualify if:
- 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.)
You may not qualify if:
- \. Any allergy to isopropyl alcohol
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Elucid Labs Inc.lead
Study Sites (1)
Total Skincare Centre
Calgary, Alberta, T3C2G2, Canada
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
John Arlette, MD
Total Skincare Centre
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
August 1, 2018
First Posted
August 8, 2018
Study Start
October 15, 2018
Primary Completion
September 1, 2020
Study Completion
October 15, 2020
Last Updated
August 8, 2018
Record last verified: 2018-08
Data Sharing
- IPD Sharing
- Will not share