View clinical trials related to Malignant Melanoma.
Filter by:In this clinical feasibility study the investigators will test and compare two advanced optical imaging technologies, lipid and RNA tape stripping with regards to diagnostic accuracies for fast bedside diagnosis of pigmented skin tumours.
Dermalyzer is a device intended to be used as a decision support system for assessing cutaneous lesions suspected of being melanomas. The input from the device is not intended to be used as the sole source of information for diagnosis. Intended to be used by medical professionals. The service does not provide any other diagnosis. The study is a pre-marketing, prospective, confirmatory, first in clinical setting, pivotal multi-centre, non-interventional clinical investigation to evaluate the clinical safety, performance and benefit of Dermalyzer in patients with cutaneous lesions where malignant melanoma (MM) cannot be ruled out. Primary objective: The primary objective of the investigation is to determine the diagnostic precision of the device; to answer at which level the AI tool Dermalyzer can identify malignant melanomas among cutaneous lesions that are assessed in clinical use due to any degree of malignancy suspicion. Secondary objectives: A) To evaluate usability and applicability in clinical praxis of Dermalyzer by users (medical professionals), B)To gain an increased knowledge and understanding of how digital tools enhanced co-artificial intelligence can assist physicians with the right support for an earlier diagnosis of malignant melanoma. Exploratory objective: To explore health economic aspects of improved diagnosis support Methods: The subjects will be included from around 30 primary care centers in Sweden. If the subject's lesion(s) is suspected of melanoma or melanoma cannot be ruled out, the subject is asked to participate in the investigation. The investigator examines the subject's lesion(s) and makes the clinical assessment of the subject lesion(s) based on established clinical decision algorithms The investigator takes dermoscopy images according to standard of care and archives the image(s) according to clinical routine. The investigator decides on action, based on his or her MM suspicion (excision at the primary care center or referral for excision or referral to a dermatologist for further assessment). The investigator takes images of the lesion(s) again, this time with a mobile phone, containing the AI software, connected to a dermatoscope, and follows the on-screen instructions. The image is processed by the AI and the results are visible on the screen within seconds. The investigator records how he considers that the degree of suspicion of MM (higher vs lower) would have been affected by the AI SW result if it had been the governing body for the treatment. At study follow-up, the final tumor diagnosis from the histopathology results (melanoma/non melanoma) or by dermatologist assessment (if stated as undoubtedly benign), the degree of agreement between the true final diagmosis and the outcome of the AI decision support is determined, and the diagnostic accuracy in distinguishing melanoma from non-melanoma, in terms of sensitivity and specificity as well the positive and predictive value. The corresponding comparison is performed from the examining investigators estimated clinical degree of suspicion. The clinical investigation will collect information from the users, how participating users (investigators at the site) experience the usability of the AI decision support and attaching applications, from short surveys including the validated System Usability Scale.
Postoperative complications like seroma formation and wound site infection readily occur following completion axillary lymph node dissection (ALND) for malignant melanoma. We analyzed the impact of time-to-drain removal and drainage volume on seroma formation after ALND.
The primary objective for this non-interventional study was to assess the quality of life of melanoma patients under adjuvant treatment with dabrafenib and trametinib in real world setting in Portugal through disease specific FACT-M questionnaire and generic EQ-5D-3L questionnaire. The secondary study objectives were to assess the usage of adjuvant dabrafenib and trametinib in clinical practice and to evaluate clinical outcomes in patients that started adjuvant treatment with dabrafenib and trametinib. In addition, this study aimed to explore if treatment discontinuation affects clinical outcomes in real-world practice.
A prospective feasibility trial initially including 10 patients to investigate if Neurofilament light protein can be detected in peripheral blood in patients undergoing Isolated Limb Perfusion with chemotherapeutic agents. This biomarker could act as predictive biomarker for neurotoxicity after isolated limb perfusion.
This study will consider the safety and effectiveness of a study drug, CAN04, in combination with pembrolizumab, in the treatment of incurable or metastatic non-small-cell lung cancer (NSCLC), head and neck squamous cell carcinoma, urothelial cancer, or malignant melanoma. The study aims to establish a recommended dose of CAN04 in combination with the standard dose of pembrolizumab (Part 1), and in combination with pembrolizumab standard dose, and Standard of Care carboplatin and pemetrexed (Part 2 - subjects with stage IV, non-squamous metastatic NSCLC). CAN04, pembrolizumab. carboplatin and pemetrexed will be administered intravenously.
UV1 is a therapeutic cancer vaccine that has been explored in prostate, lung cancer, in combination with ipilimumab in malignant melanoma and in combination with pembrolizumab in metastatic melanoma. This study will explore the Efficacy and Safety of UV1 administered with GM-CSF in combination with nivolumab and ipilimumab.
Among skin malignancies, patients with malignant melanoma or angiosarcoma are treated with BNCT using CICS-1 and SPM-011 (borofalan (10B)). Through this trial, safety and appropriate treatment dose will be determined.
This is the first study which evaluates the different staging modalities 18F-2-fluoro-2-deoxy-D-glucose PET/CT (PET/CT) and diagnostic ultrasound (US) in a single patient cohort with malignant melanoma (MM). Previous analyses are ambivalent regarding the modality of choice. These analyses, however, compared separate patient cohorts for each modality. Inclusion criteria were a primary staging or re-staging of suspected or confirmed MM with one or more PET/CT and/or one or more US. Exclusion criteria were the non-existence of a malignancy or a malignancy other than MM, alone or in combination with an MM. The analysis includes the calculation of sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy in a per-patient (PPA), per-examination (PEA) and per-lesion analysis (PLA). This was done individually for PET/CT and US, and in PLA also for the combination of these two radiological modalities. Furthermore, US was divided into US as a whole (wUS), peripheral lymph nodes (pUS) and/or abdomen (aUS). The principle equivalence of the two imaging modalities is set up as a null hypothesis H0 in all three analyses. As a further null hypothesis H0, the equivalence of the combined application compared to the sole applications of the two imaging modalities is asserted. The aim is the refutation of the null hypothesis H0 by significant differences in sensitivity and specificity.
Aim of study: To collect data for a new image-guided diagnostic algoritm, enabling the investigators to differentiate more precisely between benign and malignant pigmented tumours at the bedside. This study will include 60 patients with four different pigmented tumours: seborrheic keratosis (n=15), dermal nevi (n=15), pigmented basal cell carcinomas (n=15), and malignant melanomas (n=15), these four types of tumours are depicted in Fig.1, and all lesions will be scanned by four imaging technologies, recruiting patients from Sept 2019 to May 2020. In vivo reflectance confocal microscopy (CM) will be used to diagnose pigmented tumours at a cellular level and provide micromorphological information5;6. Flourescent CM will be applied to enhance contrast in surrounding tissue/tumours. Optical coherence tomography (OCT), doppler high-frequency ultrasound (HIFU) and photoacustic imaging (also termed MSOT, multispectral optoacustic tomography) will be used to measure tumour thickness, to delineate tumours and analyze blood flow in blood vessels. Potential diagnostic features from each lesion type will be tested. Diagnostic accuracy will be statistically evaluated by comparison to gold standard histopathology