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Trial Title:
iToBoS Prospective Data Acquisition and Feasibility Study (Barcelona)
NCT ID:
NCT05955443
Condition:
Skin Cancer
Conditions: Official terms:
Skin Neoplasms
Conditions: Keywords:
melanoma
skin examination
artificial intelligence
total body photography
Study type:
Observational
Overall status:
Recruiting
Study design:
Time perspective:
Prospective
Summary:
This study is recruiting patients at their regular skin examination appointments to
participate in research. Participation involves having 3D total body photography,
completing a 10-15 minute questionnaire, and providing a genetic sample. Normally, the
total body photography is part of the patients standard care, as is the collection of a
genetic sample. Consenting to this study involves consenting to the use of total body
photography images (de-identified), questionnaire answers, and genetic risk information
to be used for developing AI algorithms for image analysis of skin lesions, and
melanoma-risk profiling for patients.
Detailed description:
Patients are invited to participate at their regular skin examination visits at Hospital
Clinic Barcelona. A member of the research team will read through the Participant
Information and Consent Form (PICF) with the patient and answer any questions they may
have. Once consent is given, the following study activities will take place.
1. Total Body Photography: this is done with the VECTRA machine that will require you
to be photographed in your underwear. The VECTRA is a framework of 92 cameras which
will simultaneously capture images of a patient holding one anatomical pose. VECTRA
computer software is then used to construct a 3D avatar of the patient, enabling the
image record of skin naevi. This imaging is normally part of the patient's skin
examination visit. The images used for annotation in research will be de-identified
(anonynmised) by firstly removing any images of the face and other identifying
features (e.g. tattoos, scars, nipples), then processing the 3D avatar into small 2D
images of 5x8cm section of skin. These methods are designed to protect patient
privacy of images used for AI development.
2. Complete a Questionnaire: consists of 45 items/questions, taking approximately 10
minutes to complete. Questionnaire data is designed to collect information relevant
to melanoma risk, while maintaining a low risk of being individually identifiable.
topics cover include demographics, skin cancer history, sun/health behaviour, and
phenotype information (e.g. hair/skin/eye colour).
3. Genetic sample: in some cases the hospital will already hold a genetic sample, in
this case we ask patient consent to access this information. When no sample is on
record, we will ask the patient to provide a saliva or blood sample for genetic
analysis. Genetic information will be analysed by looking for single nucleotide
polymorphisms (SNPs) relating to melanoma risk (approximately 80-100 SNPs to be
analysed). A polygenic risk score (PRS) is then calculated based on the presence or
absence of relevant SNPs. The final PRS will be used in the study (no individual
genetic information will be shared outside the hospital.
All de-identified data (image, survey, and PRS) are then used by the iToBoS consortium to
develop a cognitive assistant (AI model) to provide clinician support in screening for
melanoma using total body photography.
Criteria for eligibility:
Study pop:
Patients who are attending the Hospital Clinic de Barcelona for a standard skin
examination will be approached to participate in the study. All participants will be
adults, aged 18 years or older.
Sampling method:
Non-Probability Sample
Criteria:
Inclusion Criteria:
- Over 18
- Able to provide informed consent
Exclusion Criteria:
- Unable to stand and hold anatomica pose for 3D total body photography
Gender:
All
Minimum age:
18 Years
Maximum age:
N/A
Healthy volunteers:
Accepts Healthy Volunteers
Locations:
Facility:
Name:
Hospital Clinic de Barcelona
Address:
City:
Barcelona
Zip:
08035
Country:
Spain
Status:
Recruiting
Contact:
Last name:
Clare Primiero, PhD
Phone:
+34639222592
Email:
c.bover@uq.edu.au
Contact backup:
Last name:
Gisele Rezze, MD
Phone:
+34677952566
Email:
ggrezze@hotmail.com
Investigator:
Last name:
Josep Malvehy, MD
Email:
Principal Investigator
Start date:
January 13, 2023
Completion date:
December 20, 2024
Lead sponsor:
Agency:
The University of Queensland
Agency class:
Other
Collaborator:
Agency:
Fundacion Clinic per a la Recerca Biomedica
Agency class:
Other
Source:
The University of Queensland
Record processing date:
ClinicalTrials.gov processed this data on November 12, 2024
Source: ClinicalTrials.gov page:
https://clinicaltrials.gov/ct2/show/NCT05955443