The AJMC® Skin Cancer compendium is a comprehensive resource for clinical news and expert insights about melanoma and other skin cancers.
Community Engagement, Culturally Tailored Care as a Gateway to Advancing Health Equity
October 16th 2024Many talks at the Association of Cancer Care Centers (ACCC) 41st National Oncology Conference advocated for the adoption of culturally relevant care, the leveraging of community partnerships, and community engagement to build better trust with patients and improve outcomes.
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Link Between Skin Cancer and Immunosuppressants Needs Further Research
June 13th 2024At the 2024 American Society of Clinical Oncology annual meeting, an abstract presenting real-world data stressed the need for further research regarding the association between immunosuppressant medication and the development of skin cancer.
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Keratinocyte Cancers Most Commonly Located on the Head and Neck, US Study Finds
May 31st 2024A large Medicare cohort study found that the most common locations of procedurally treated keratinocyte cancers in the US were the head and/or neck for both squamous cell carcinomas and basal cell carcinomas.
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Dr Michael Farwell on FDG PET/CT Imaging to Predict Immunotherapy Response in Advanced Melanoma
April 15th 2024Michael Farwell, MD, associate professor of radiology at the Hospital of the University of Pennsylvania, provides insights into a study on the benefits of using 18F-fluorodeoxyglucose (FDG) PET/CT imaging to detect metabolic tumor changes in skin cancer.
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Risk for Second Primary Melanoma Increases After Primary Melanoma Diagnosis as Men Age
March 28th 2024A population-based cohort study out of Norway has found that older men have a higher risk of developing second primary invasive melanoma following an initial primary melanoma, suggesting the benefits of increased surveillance in these patients.
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Federated Learning Models Show Potential in Melanoma-Nevus Classification, but Improvements Needed
March 16th 2024A multicentric, single-arm diagnostic study created a decentralized federated learning model for the classification of invasive melanomas and nevi, showcasing comparable results to centralized data models.
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