Melanoma Detection in Switzerland With VECTRA (MELVEC)
Clinical Performance of the New Artificial-intelligence Powered 3D Total Body Photography System VECTRA® in Early Melanoma Detection and Its Impact on Patients' Burden of Disease: A Prospective Cohort Study in a Real-world Setting
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
This study is to compare the accuracy of combining human and artificial intelligence with its independent application in early melanoma detection. The Artificial Intelligence (AI)-powered 3D Total Body Photography (TBP) Vectra® WB360 system's utility and clinical performance in detecting melanoma in the real-world setting will be compared to the gold standard with clinical assessments by experienced dermatologists, to currently widespread used 2D imaging tools (FotoFinder ATBM® Master) and to the Smartphone-based algorithm application (e.g. SkinVision®). Here included are specific questions regarding the patients' subjective experience, acceptance and evaluation of modern technological examination.
Additionally, the overall psychological burden and worry of melanoma risk or disease, anxiety, depression will be compared in different groups of patients and psychological support need and real uptake of support and its predictors will be investigated in all participants.
To validate the MELVEC (Melanoma Detection in Switzerland with Vectra®) test procedure, an analysis of the measurement repeatability of computer-guided risk assessment scores for early melanoma detection will be performed. A potential benefit of this validation analysis is the optimization of study procedure for future follow-up visits and further enrolled patients in the MELVEC study. Additionally, results will shed light on the reliability of the convolutional neural networks (CNNs) investigated and help formulate recommendations for their current use. Furthermore, results will provide important data for the manufacturers regarding the systems' reliability in clinical application to help future improvement of the respective algorithms.
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Lara Valeska Maul, Dr. med.
- Phone Number: : +41 61 265 4080
- Email: laravaleska.maul@usb.ch
Study Locations
-
-
-
Basel, Switzerland, 4031
- Department of Dermatology, University Hospital Basel
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Written informed consent of the patient
- Sufficient fluency in German language skills to complete all questionnaires of the study without external assistance
High-risk criteria for melanoma. For "high risk" one of the following criteria needs to be fulfilled:
- At least one previous melanoma (including melanoma in situ)
- A diagnosis of ≥ 100 nevi
- A diagnosis of ≥ 5 atypical nevi
- A diagnosis of dysplastic nevus syndrome or known CDKN2A mutation
- A strong family history (≥ 1 first- and/or second-degree relatives)
Exclusion Criteria:
- Lack of informed consent for study participation.
- Fitzpatrick skin type V-VI.
- Acute psychiatric illness or acute crisis
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Analyses of histopathology reports of all excised suspectable lesions
Time Frame: up to 24 months
|
The primary outcome, the sensitivity of human and artificial intelligence in detecting melanoma, will be measured at every study visit in case of a suspected melanoma by analysing histopathology reports of all excised suspectable lesions.
The diagnosis of melanoma will be confirmed by histology.
The biopsied pigmented skin lesions will be categorized as benign (melanocytic nevi / dysplastic nevi) or malignant (melanoma).
|
up to 24 months
|
|
Analyses of dermatologists' assessment of each pigmented skin lesion as benign (melanocytic nevi / dysplastic nevi) or malignant (melanoma) before and after (without and with knowledge of) computer-guided risk assessment scores
Time Frame: up to 24 months
|
Analyses of dermatologists' assessment of each pigmented skin lesion as benign (melanocytic nevi / dysplastic nevi) or malignant (melanoma) before and after computer-guided risk assessment scores by Vectra® WB360 and FotoFinder® Mole Analyzer and smartphone app.
|
up to 24 months
|
|
Analyses of 2D FotoFinder® Mole Analyzer scoring of pigmented skin lesions (0.0 - 1.0)
Time Frame: up to 24 months
|
The primary outcome, the sensitivity of human and artificial intelligence in detecting melanoma, will be measured at every study visit in case of a suspected melanoma by 2D FotoFinder® Mole Analyzer scoring of pigmented skin lesions (0.0 - 1.0).
Scores 0.0 - 1.0; 0 indicating no suspicion for melanoma, 1 indicating a high suspicion for melanoma).
|
up to 24 months
|
|
Analyses of 3D Vectra® WB360 imaging scoring of pigmented skin lesions (0- 10)
Time Frame: up to 24 months
|
The primary outcome, the sensitivity of human and artificial intelligence in detecting melanoma, will be measured at every study visit in case of a suspected melanoma by analysing 3D Vectra® WB360 imaging scoring of pigmented skin lesions (0- 10).
Score 0 - 10; 0 indicating no suspicion for melanoma, 10 indicating a high suspicion for melanoma).
|
up to 24 months
|
|
Analyses of Smartphone app Skin Vision® scoring of pigmented skin lesions (low, medium or high risk)
Time Frame: up to 12 months
|
The primary outcome, the sensitivity of human and artificial intelligence in detecting melanoma, will be measured at every study visit in case of a suspected melanoma by analysing Smartphone app Skin Vision® scoring of pigmented skin lesions (low, medium or high risk).
|
up to 12 months
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in Distress thermometer (Patient-reported outcome)
Time Frame: up to 24 months
|
Distress thermometer on a scale from 0-10 to address psychological distress: German version of the NCCN Distress Thermometer is used with Problem List (PL) as the screening tool for self-reported psychosocial distress, and to identify the causes of expressed distress.
|
up to 24 months
|
|
Change in FACIT G7 Functional Assessment of Cancer Therapy - General - (7 item version).
Time Frame: up to 24 months
|
The FACIT Measurement System is a collection of QOL questionnaires targeted to the management of chronic illness.
|
up to 24 months
|
|
Change in Hospital Anxiety and Depression Scale (HADS)
Time Frame: up to 24 months
|
The HADS is a 14-item self-administered questionnaire widely used to detect anxiety and depression in physically ill patients and is validated for the German language.
The questionnaire has two subscales (anxiety and depression) with seven items each and a total score for each subscale (values from 0-21).
Subscale scores between 0-7 indicate normal anxiety and depression levels, scores between 8-10 indicate borderline levels of anxiety and depression, and scores between 11-21 indicate clinical levels of anxiety or depression
|
up to 24 months
|
|
Change in Melanoma Worry Scale (MWS)
Time Frame: up to 24 months
|
MWS comprises four items, score 1 to 4, with possible scores ranging from 4 to 17, a higher score indicating higher levels of worry
|
up to 24 months
|
|
Change in support need and uptake
Time Frame: up to 24 months
|
Support need and uptake will be collected by questions regarding participants' prospective intention to use psycho-oncological support services ("Do you intend to use the in-house psycho-oncological support service in the next months?",
answer options: yes, maybe, no), the recommendation by the dermatologist for psychological support as well as patients' real uptake (hospital record).
|
up to 24 months
|
|
Patients' subjective experience and evaluation of modern technological examination
Time Frame: up to 24 months
|
Study specific questions concerning the individuals' perceptions focusing the benefits by potentially improved sensitivity and specificity and possible disadvantages of the additional technology (3D TBP) in melanoma screening will be asked.
The psychological impact of 3D TBP usage in melanoma screening and its effect on patients' cancer worry will be evaluated.
|
up to 24 months
|
Other Outcome Measures
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Comparison of automated naevus counts from 3D total-body photography
Time Frame: Up to 3 years
|
Comparison of automated naevus counts from 3D total-body photography generated by collegues in Australia
|
Up to 3 years
|
|
Impact of sun damage on diagnostic accuracy of DEXI algorithm in melanoma recognition
Time Frame: Up to 3 years
|
Determination of the impact of sun damage on diagnostic accuracy of DEXI algorithm in melanoma recognition
|
Up to 3 years
|
|
Patient perception of AI utilisation in skin cancer screening via questionaire
Time Frame: Up to 3 years
|
Including willingness to pay for 3D TBP
|
Up to 3 years
|
|
Comparison of the diagnostic accuracy of different algorithms by using ROC-AUC curves
Time Frame: Up to 3 years
|
Investigating how different algorithms might change diagnostic accuracy
|
Up to 3 years
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Lara Valeska Maul, Dr. med., Department of Dermatology, University Hospital Basel
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 2020-02482; sp20Maul
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.