View clinical trials related to Prostate Cancer.
Filter by:The Marathon of Hope Cancer Centres Network (MOHCCN) is a national network of cancer centres that pursue collaborative cancer research in precision medicine (an emerging approach for disease treatment and prevention that considers individual variability in DNA, environment and lifestyle) to accelerate the discovery of innovations and improve the health outcomes for cancer patients
This clinical trial explores and implements methods to improve informed decision making (IDM) regarding precision oncology tests amongst veterans with prostate cancer that may have spread from where it first started to nearby tissue, lymph nodes, or distant parts of the body (advanced). Precision oncology, the use of germline genetic testing and tumor-based molecular assays to inform cancer care, has become an important aspect of evidence-based care for men with advanced prostate cancer. Veterans with metastatic castrate-resistant prostate cancer may not be carrying out IDM due to unmet decisional needs. An informed decision is a choice based on complete and accurate information. The information gained from this study will help researchers develop a decision support intervention (DSI) and implement the intervention. A DSI may serve as a valuable tool to reduce ongoing racial disparities in genetic testing and encourage enrollment to precision oncology trials.
Over the last 5 years, prostate embolization has developed as a treatment for symptomatic prostate adenoma. This long, complex procedure is effective in 80% of cases. Currently there are no means of better selecting patients to avoid this long procedure in non-responders. The hypothesis is that prostate perfusion parameters are correlated with the efficacy of embolization. Studying these prostate perfusion parameters in perfusion CT and evaluating prostate Iodine load in dual energy computed tomography will make it easier to select those patients who are most likely to respond.
To determine whether using bpMRI in subjects who are at high risk of developing prostate cancer in conjunction with PSA will improve prostate cancer screening protocols.
In Europe, prostate cancer (PCa) is the second most frequent type of cancer in men and the third most lethal. Current clinical practices, often leading to overdiagnosis and overtreatment of indolent tumors, suffer from lack of precision calling for advanced AI models to go beyond SoA by deciphering non-intuitive, high-level medical image patterns and increase performance in discriminating indolent from aggressive disease, early predicting recurrence and detecting metastases or predicting effectiveness of therapies. To date efforts are fragmented, based on single-institution, size-limited and vendorspecific datasets while available PCa public datasets (e.g. US TCIA) are only few hundred cases making model generalizability impossible. The ProCAncer-I project brings together 20 partners, including PCa centers of reference, world leaders in AI and innovative SMEs, with recognized expertise in their respective domains, with the objective to design, develop and sustain a cloud based, secure European Image Infrastructure with tools and services for data handling. The platform hosts the largest collection of PCa multi-parametric (mp)MRI, anonymized image data worldwide (>17,000 cases), based on data donorship, in line with EU legislation (GDPR). Robust AI models are developed, based on novel ensemble learning methodologies, leading to vendor-specific and -neutral AI models for addressing 8 PCa clinical scenarios. To accelerate clinical translation of PCa AI models, we focus on improving the trust of the solutions with respect to fairness, safety, explainability and reproducibility. Metrics to monitor model performance and a causal explainability functionality are developed to further increase clinical trust and inform on possible failures and errors. A roadmap for AI models certification is defined, interacting with regulatory authorities, thus contributing to a European regulatory roadmap for validating the effectiveness of AI-based models for clinical decision making.
This clinical trial will evaluate the safety of Radium-223 in combination with 177Lu-PSMA-I&T in metastatic castration-resistant prostate cancer: Phase I/II study
In this study, 288 patients will be randomized 1:1 to either having only the standard of care MRI prior to surgery versus having the standard of care MRI and the PSMA PET scan. PET (and MRI) findings will be validated against whole mount pathology. Pre-surgical imaging findings will also be evaluated in the context of affecting subsequent surgical plans and impacting actual patient outcomes.
Currently, in the clinical landscape of PCa, much of the AI work is limited to single-centre, single AI-architecture analyses and critically, on small data sets. ProCAncer-I will create a vast, diversified and multidisciplinary repository, fed by a large collection of mp-MRI. The participating clinical partners will congregate mp-MRI and clinical data, retrospectively and prospectively, from more than 17.000 PCa patients (11.000 retrospective and 6.000 prospective mp-MRI cases), including baseline examinations and follow up studies to form the ProstateNET dataset, counting more than 1.5 million image representations of the prostate (cancerous, non-cancerous and benign cases). ProCAncer-I aims to address the unmet clinical needs in PCa regarding precision diagnosis and personalised disease management with a disruptive paradigm change in clinical research, exploiting a novel multi centre collaboration, comprising a master-global model, boosted with MRI and AI modelling methodology. ProCAncer-I will deal with both retrospective and prospective data. Retrospective data will be collected and will be used to implement and train AI algorithms by other partners of the Consortium. Similarly, prospective data will be collected for the development of vendor specific models and external validation of AI models.
This study is to obtain acute dose safety and pharmacokinetics/pharmacodynamics (PK/PD) data in a dose-response trial in prostate cancer patients.
This is an observational case-control study to train and validate a genome-wide methylome enrichment platform to detect multiple cancer types and to differentiate amongst cancer types. The cancers included in this study are brain, breast, bladder, cervical, colorectal, endometrial, esophageal, gastric, head and neck, hepatobiliary, leukemia, lung, lymphoma, multiple myeloma, ovarian, pancreatic, prostate, renal, sarcoma, and thyroid. These cancers were selected based on their prevalence and mortality to maximize impact on clinical care. Additionally, the ability of the whole-genome methylome enrichment platform to detect minimal residual disease after completion of cancer treatment and to detect relapse prior to clinical presentation will be evaluated in four cancer types (breast, colorectal, lung, prostate). These cancers were selected based on the existing clinical landscape and treatment availability.