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345 active trials for Melanoma

Artificial Intelligence Augmented Training in Skin Cancer Diagnostics for General Practitioners

Background: The worldwide incidence of skin cancer has been rising for 50 years, in particular the incidence of malignant melanoma has increased approx. 2-7% annually and is the most common cancer amongst Danes aged 15-34. Currently there is a significant amount of misdiagnosis of skin cancer and mole cancer. Our aim is to improve general practitioners' diagnostic skills and accuracy of skin and mole cancer. Research questions: In a population of Danish General Practitioners (GPs) what is the dose/response effect of hours spent with an educational platform that offers AI augmented training and clinical feedback on their diagnostic accuracy and accurate clinical management (treatment, dismissal, referral)? Does access to an educational platform that offers AI augmented training and clinical feedback increase the number of malignant skin lesions referred by Danish GPs without simultaneously increasing the number of incorrect benign referrals? Can the participating GPs clinical accuracy be predicted from the MCQ-score by comparing their quiz answers and diagnostic accuracy on their registered lesions with their score on the MCQ? Method: 90 Danish GPs will at baseline, 1 month and end of trial answer a Multiple Choice Questionnaire (MCQ). There is no change to current clinical practice, but all participating doctors will be asked to register a clinical picture and a dermoscopic image as well as basic information about the lesion and patient (age, gender, location and diagnosis) of all skin lesions examined due to a suspicion for non-melanoma or melanoma skin cancer, raised by the GP or patient. GPs in the intervention group are besides the registration application (R-app) given access to an AI augmented training and clinical feedback through an educational smartphone app (E-app). Within the E-app the doctor can access quizzes on a library of 10,000+ skin lesions, written articles about the 40 most common skin lesions, and a clinical feedback module that gives the GP feedback on their registered skin lesions. Feedback on skin lesions with the registered clinical management of referred/excised/biopsied will be provided continuously by independent experts in skin cancer diagnostics (>10 years of experience) through a web-based review system developed by our group. Feedback on the remaining registered cases are withheld until the end of the study period. This is done to simulate a realistic clinical setting during the study.

Start: August 2021
Quality of Life and Physical Fitness After Immune Checkpoint Inhibitors

Rationale: Tremendous anti-tumor effects have been achieved using immune checkpoint inhibitors for melanoma and NSCLC with long lasting responses of more than 2 years in a substantial subgroup of patients. However, we are still largely unaware of the health-related quality of life of these patients. We should carefully and thoroughly assess the long-term burden of disease and treatment toxicity. Objective: Primary Objective: to investigate health-related quality of life (HRQoL) of patients surviving 2 years or more after the first cycle of an immune checkpoint inhibitor for melanoma or NSCLC. Secondary Objectives: to assess neurocognitive function, endocrine function, cardiovascular risk, physical fitness, mood disorders, sexual problems, work participation in patients surviving 2 years or more after the first cycle of immune checkpoint inhibitor; to assess quality of life of the caregivers of these patients. Study design: Observational cross-sectional study. Study population: Patients (age ?18 years) with melanoma or NSCLC ?2 years since treatment with at least one cycle of immune checkpoint inhibitor (CTLA-4 inhibitor, PD-(L)1 inhibitor, or both). Main study parameters/endpoints: health-related quality of life (HRQoL) as measured using the EORTC Quality of life questionnaire (QLQ-C30). Secondary study parameters: possible late effects (neurocognitive dysfunction, endocrine disorders, dermatologic complaints, sexual disorders and infertility, increased cardiovascular risk, and fatigue), physical fitness, psychosocial issues related to work/education, mood disorders (anxiety and depression), patient and treatment-related factors potentially influencing development of late effects, well-being, and quality of life of caregivers.

Start: October 2018