Melanoma (Skin)MELVECNCT04605822
Melanoma Detection in Switzerland With VECTRA
An observational study of Melanoma (Skin), run by University Hospital, Basel, Switzerland at 1 site in Switzerland.
Trial summary
This study is to compare 2D- and 3D-imaging and routine clinical care in early melanoma detection in a prospective large-scale real-world data set. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Melanoma (Skin)
- What is being tested?
- 3D imaging Total Body Photography Vectra® WB360, 2D imaging FotoFinder ATBM® Master imaging system and Smartphone application (SkinVision®)
- Type of treatment
- Medical device
- How many people
- 455 participants
- Where
- 1 siteSwitzerland
- Study dates
- 25 Jan 2021to 31 Jan 2024
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: Patients will be recruited during melanoma consultations and the consultation in the outpatient clinic at the Department of Dermatology at the University Hospital Basel from Q4/2020 until Q4/2021.
Who may be able to join
- 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)
Who cannot join
- Lack of informed consent for study participation.
- Fitzpatrick skin type V-VI.
- Acute psychiatric illness or acute crisis
Trial locations and contacts
1 site in 1 country.
Switzerland1 site
Department of Dermatology, University Hospital Basel
Basel, 4031
About this study
Official title: 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
This study is to compare 2D- and 3D-imaging and routine clinical care in early melanoma detection in a prospective large-scale real-world data set.
Read the 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.
- Conditions
- Melanoma (Skin)
- Being tested
- 3D imaging Total Body Photography Vectra® WB360, 2D imaging FotoFinder ATBM® Master imaging system, Smartphone application (SkinVision®), Standard-of-care clinical assessment of the skin
- Keywords
- 3D total body photography (TBP), 2D sequential digital dermatoscopic imaging (SDDI), skin malignancy, artificial intelligence (AI)- based tools, 3D TBP Vectra® WB360 system, FotoFinder ATBM® Master, SkinVision®
- Medical subject headings
- Melanoma
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
3D imaging Total Body Photography Vectra® WB360Device
3D Total Body Photography Vectra® WB360 (Canfield Scientific, Parsippany, New Jersey, USA) and its digital dermoscopic camera (VISIOMED® D200evo dermatoscope) and scoring of pigmented skin lesions. All participants of this study will undergo 3D TBP at baseline and the follow-up visits up to month 24.
2D imaging FotoFinder ATBM® Master imaging systemDevice
2D imaging with FotoFinder® Mole Analyzer and scoring of pigmented skin lesions. All participants of this study will undergo 2D imaging FotoFinder ATBM® Master imaging system at baseline and the follow-up visits up to month 24.
Smartphone application (SkinVision®)Device
Smartphone application for all dermatoscopically documented pigmented skin lesions in all study participations and record of risk assessment of the health application (low, medium or high risk) to compare the app's accuracy in risk assessment with the AI tools and the dermatologist. The SkinVision® smartphone app is CE certified.of skin lesions. All participants of this study will undergo Smartphone application (SkinVision®) at baseline and the follow-up visits up to month 12.
Standard-of-care clinical assessment of the skinOther
Clinical skin examination with dermatoscope by an experienced dermatologist and risk assessment of pigmented lesions (melanoma vs. naevus). All participants of this study will undergo Standard-of-care clinical assessment of the skin at baseline and the follow-up visits up to month 24.
What is being measured
The primary outcome is the main question the study is designed to answer.
Analyses of histopathology reports of all excised suspectable lesions
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).
Measured: 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
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.
Measured: up to 24 months
Analyses of 2D FotoFinder® Mole Analyzer scoring of pigmented skin lesions (0.0 - 1.0)
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).
Measured: up to 24 months
Analyses of 3D Vectra® WB360 imaging scoring of pigmented skin lesions (0- 10)
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).
Measured: up to 24 months
Analyses of Smartphone app Skin Vision® scoring of pigmented skin lesions (low, medium or high risk)
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).
Measured: up to 12 months
Secondary outcomes (6)
Change in Distress thermometer (Patient-reported outcome)
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.
Measured: up to 24 months
Change in FACIT G7 Functional Assessment of Cancer Therapy - General - (7 item version).
The FACIT Measurement System is a collection of QOL questionnaires targeted to the management of chronic illness.
Measured: up to 24 months
Change in Hospital Anxiety and Depression Scale (HADS)
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
Measured: up to 24 months
Change in Melanoma Worry Scale (MWS)
MWS comprises four items, score 1 to 4, with possible scores ranging from 4 to 17, a higher score indicating higher levels of worry
Measured: up to 24 months
Change in support need and uptake
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).
Measured: up to 24 months
Patients' subjective experience and evaluation of modern technological examination
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.
Measured: up to 24 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted28 Oct 2020
- Study start25 Jan 2021
- Primary completion31 Jan 2024
- Study completion31 Jan 2024
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (3)Papers the sponsor has linked to this study.
- Other trials for Melanoma (Skin)Studies of the same condition, open and under way.
- More trials run by University Hospital, Basel, SwitzerlandThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 455 participants (actual)
Sponsor and investigators
- Lead sponsor
- University Hospital, Basel, Switzerland
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- Lara Valeska Maul, Dr. med., Principal investigator, Department of Dermatology, University Hospital Basel
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04605822
- Sponsor's protocol ID
- 2020-02482; sp20Maul
- Acronym
- MELVEC
- Status last verified
- Mar 2024
- First submitted
- 21 Oct 2020
- Last updated
- 19 Mar 2024
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Publications
Goessinger EV, Niederfeilner JC, Cerminara S, Maul JT, Kostner L, Kunz M, Huber S, Koral E, Habermacher L, Sabato G, Tadic A, Zimmermann C, Navarini A, Maul LV. Patient and dermatologists' perspectives on augmented intelligence for melanoma screening: A prospective study. J Eur Acad Dermatol Venereol. 2024 Dec;38(12):2240-2249. doi: 10.1111/jdv.19905. Epub 2024 Feb 27.
PubMed 38411348Goessinger EV, Cerminara SE, Mueller AM, Gottfrois P, Huber S, Amaral M, Wenz F, Kostner L, Weiss L, Kunz M, Maul JT, Wespi S, Broman E, Kaufmann S, Patpanathapillai V, Treyer I, Navarini AA, Maul LV. Consistency of convolutional neural networks in dermoscopic melanoma recognition: A prospective real-world study about the pitfalls of augmented intelligence. J Eur Acad Dermatol Venereol. 2024 May;38(5):945-953. doi: 10.1111/jdv.19777. Epub 2023 Dec 29.
PubMed 38158385Cerminara SE, Cheng P, Kostner L, Huber S, Kunz M, Maul JT, Bohm JS, Dettwiler CF, Geser A, Jakopovic C, Stoffel LM, Peter JK, Levesque M, Navarini AA, Maul LV. Diagnostic performance of augmented intelligence with 2D and 3D total body photography and convolutional neural networks in a high-risk population for melanoma under real-world conditions: A new era of skin cancer screening? Eur J Cancer. 2023 Sep;190:112954. doi: 10.1016/j.ejca.2023.112954. Epub 2023 Jun 24.
PubMed 37453242
Study at a glance
From the registry record, last updated by the sponsor on 19 Mar 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- 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
- ClinicalTrials.gov ID
- NCT04605822
- Acronym / sponsor ID
- MELVEC / 2020-02482; sp20Maul
- Conditions
- Melanoma (Skin)
- Keywords
- 3D total body photography (TBP), 2D sequential digital dermatoscopic imaging (SDDI), skin malignancy, artificial intelligence (AI)- based tools, 3D TBP Vectra® WB360 system, FotoFinder ATBM® Master, SkinVision®
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 455 participants (actual)
- Lead sponsor
- University Hospital, Basel, SwitzerlandUniversity, hospital or other
- Study start
- 25 Jan 2021 (actual)
- Primary completion
- 31 Jan 2024 (actual)
- Study completion
- 31 Jan 2024 (actual)
- First posted
- 28 Oct 2020 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This study is to compare 2D- and 3D-imaging and routine clinical care in early melanoma detection in a prospective large-scale real-world data set.
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 design
- Observational model
- Cohort
- Time perspective
- Prospective
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- Patients will be recruited during melanoma consultations and the consultation in the outpatient clinic at the Department of Dermatology at the University Hospital Basel from Q4/2020 until Q4/2021.
Key inclusion criteria (8 listed)
- 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:
Key exclusion criteria (3 listed)
- Lack of informed consent for study participation.
- Fitzpatrick skin type V-VI.
- Acute psychiatric illness or acute crisis
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| 3D imaging Total Body Photography Vectra® WB3603D Total Body Photography Vectra® WB360 (Canfield Scientific, Parsippany, New Jersey, USA) and its digital dermoscopic camera (VISIOMED® D200evo dermatoscope) and scoring of pigmented skin lesions. All participants of this study will undergo 3D TBP at baseline and the follow-up visits up to month 24. | Device | – |
| 2D imaging FotoFinder ATBM® Master imaging system2D imaging with FotoFinder® Mole Analyzer and scoring of pigmented skin lesions. All participants of this study will undergo 2D imaging FotoFinder ATBM® Master imaging system at baseline and the follow-up visits up to month 24. | Device | – |
| Smartphone application (SkinVision®)Smartphone application for all dermatoscopically documented pigmented skin lesions in all study participations and record of risk assessment of the health application (low, medium or high risk) to compare the app's accuracy in risk assessment with the AI tools and the dermatologist. The SkinVision® smartphone app is CE certified.of skin lesions. All participants of this study will undergo Smartphone application (SkinVision®) at baseline and the follow-up visits up to month 12. | Device | – |
| Standard-of-care clinical assessment of the skinClinical skin examination with dermatoscope by an experienced dermatologist and risk assessment of pigmented lesions (melanoma vs. naevus). All participants of this study will undergo Standard-of-care clinical assessment of the skin at baseline and the follow-up visits up to month 24. | Other | – |
Primary outcome
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).
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.
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).
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).
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).
6 secondary outcomes
Change in Distress thermometer (Patient-reported outcome)
Time frame: up to 24 months
Change in FACIT G7 Functional Assessment of Cancer Therapy - General - (7 item version).
Time frame: up to 24 months
Change in Hospital Anxiety and Depression Scale (HADS)
Time frame: up to 24 months
Change in Melanoma Worry Scale (MWS)
Time frame: up to 24 months
Change in support need and uptake
Time frame: up to 24 months
Patients' subjective experience and evaluation of modern technological examination
Time frame: up to 24 months
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 19 Mar 2024.
- Derived from this study: PubMed 38411348Goessinger EV, Niederfeilner JC, Cerminara S, Maul JT, Kostner L, Kunz M, Huber S, Koral E, Habermacher L, Sabato G, Tadic A, Zimmermann C, Navarini A, Maul LV. Patient and dermatologists' perspectives on augmented intelligence for melanoma screening: A prospective study. J Eur Acad Dermatol Venereol. 2024 Dec;38(12):2240-2249. doi: 10.1111/jdv.19905. Epub 2024 Feb 27.
- Derived from this study: PubMed 38158385Goessinger EV, Cerminara SE, Mueller AM, Gottfrois P, Huber S, Amaral M, Wenz F, Kostner L, Weiss L, Kunz M, Maul JT, Wespi S, Broman E, Kaufmann S, Patpanathapillai V, Treyer I, Navarini AA, Maul LV. Consistency of convolutional neural networks in dermoscopic melanoma recognition: A prospective real-world study about the pitfalls of augmented intelligence. J Eur Acad Dermatol Venereol. 2024 May;38(5):945-953. doi: 10.1111/jdv.19777. Epub 2023 Dec 29.
- Derived from this study: PubMed 37453242Cerminara SE, Cheng P, Kostner L, Huber S, Kunz M, Maul JT, Bohm JS, Dettwiler CF, Geser A, Jakopovic C, Stoffel LM, Peter JK, Levesque M, Navarini AA, Maul LV. Diagnostic performance of augmented intelligence with 2D and 3D total body photography and convolutional neural networks in a high-risk population for melanoma under real-world conditions: A new era of skin cancer screening? Eur J Cancer. 2023 Sep;190:112954. doi: 10.1016/j.ejca.2023.112954. Epub 2023 Jun 24.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Lara Valeska Maul, Dr. med. principal investigator
Department of Dermatology, University Hospital Basel
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Melanoma (Skin), run by University Hospital, Basel, Switzerland at 1 site in Switzerland.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 8 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 19 Mar 2024. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Switzerland. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Analyses of histopathology reports of all excised suspectable lesions (time frame: up to 24 months). The study lists 5 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT04605822, which also lists 3 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 19 Mar 2024.