View clinical trials related to Skin Neoplasms.
Filter by:The objective of this study is to test a novel classroom-based intervention to motivate youth to limit their sun exposure. The intervention will make the process of learning about sun exposure more person-centered using individual dosimetry readings and feedback that will lead to individual plans for reducing sun exposure.
The primary purpose of this study is to address the limited knowledge regarding patient well- being and nasal function after interpolated flap repair of post-Mohs surgical defects on the nose. Improved understanding of the patient experience will allow providers to better counsel their patients pre-operatively and potentially identify patients who may benefit from additional interventions.
This study aims to provide an initial assessment of the potential impact DERM could have on the number of onward referrals for a face to face dermatologist review and/or biopsy from a teledermatology-based service, and to improve the understanding of the patient pathways that exist.
This study aims to establish the effectiveness of an Artificial Intelligence (AI) algorithm (DERM) to determine the presence of Basal Cell Carcinoma (BCC) and Squamous Cell Carcinoma (SCC) and frequently observed benign conditions, when used to analyse images of skin lesions taken by commonly available smart phone cameras.
This early phase I trial studies how well a genetic test called pharmacogenomics works in directing the optimal use of supportive care medications in patients with stage III-IV cancer. Pharmacogenomics is the study of how genes may affect the body's response to and interaction with some prescription medications. Genes, which are inherited from parents, carry information that determines things such as eye color and blood type. Genes can also influence how patients process and respond to medications. Depending on the genetic makeup, some medications may work faster or slower or produce more or fewer side effects. Pharmacogenomics testing may help doctors learn more about how patients break down and process specific medications based on their genes and improve the quality of life of cancer patients receiving clinical care.
The purpose of this study is to test the safety and tolerability of 2141-V11 in people who have cancer that does not respond to standard treatment and who have skin lesions (skin tumors) associated with their cancer. The study will also test how the body processes and responds to 2141-V11, and if the study drug has cancer fighting activity in people. The study drug activates a naturally occurring protein called CD40. By activating CD40, cells of the immune system are better able to identify and kill cancer cells. We are testing if injection of 2141-V11 into metastasis to the skin will be safe and well tolerated, and may result in immune activation in patients with solid tumors that have metastasis to the skin.
A completely new type of digital dermatoscope has been developed in order to take a significant step forward in technology for skin cancer imaging. By means of this study a better insight can be gained of the current performance and workflow in clinical dermatoscopy. This knowledge will be used to further improve the developed technology.
The study is designed to be able to prove if the Molemap Artificial Intelligence (AI) algorithm can be used as a diagnostic aid in a clinical setting. This study will determine whether the diagnostic accuracy of the Molemap AI algorithm is comparable to a specialist dermatologist, teledermatologist and registrar (as a surrogate for a general practitioner). The study patient population will be adult patients who require skin cancer assessment. The use of AI as a diagnostic aid may assist primary care physicians who have variable skill in skin cancer diagnosis and lead to more appropriate referrals (rapid referral for lesions requiring treatment and fewer referrals for benign lesions), thereby improving access and reducing waiting times for specialist care.
More than 5 million skin cancer surgeries are performed each year in the United States with 80% of tumors appearing on the head and neck. Facial skin cancer diagnosis negatively affects patient quality of life (QOL) and treatment of skin cancer creates visible scars early in the postoperative period, increases anxiety, and impairs social interactions. We believe that these negative psychosocial changes represent an unmet need for additional social support and practical guidance. A one-to-one peer support program designed for skin cancer patients could provide a focused, cost-effective, patient-centered intervention to improve quality of life and increase satisfaction. Comparable one-to-one peer support programs have demonstrated high rates of patient satisfaction and positive QOL outcomes in a wide range of conditions. This prospective peer support program would be the first of its kind for melanoma and keratinocytic skin cancers. Our pilot program was designed in consultation with leading peer mentorship program researchers and we will implement a structured system to match volunteer mentors with patients. Through qualitative and quantitative data, we will evaluate the program's effect on patient QOL at 3 separate intervals: at initial consultation, 1-2 weeks post-surgery, and 3 months post-surgery. We hope that this study will enable us to design and execute a larger multi-center clinical trial in order to establish a best practice for surgeons to usher patients through the postoperative healing process after skin cancer surgery.
A retrospective cohort study of early and late period postoperative scars using previously validated survey measures and clinical photographs. The target population consists of participants treated with Mohs micrographic surgery (MMS) for a facial skin cancer by the division of dermatologic surgery. This study aims to determine if patient assessment of scar appearance correlates with physician ratings and/or third-person observer ratings. Secondary goals are to assess for correlations between early post-operative scar appearance and long-term scar appearance as well as identification of predictive factors for scar healing.