View clinical trials related to Prostatic Neoplasms.
Filter by:Hormone tablets, abiraterone (Zytiga®) and enzalutamide (Xtandi®) are approved to treat advanced prostate cancer. However, even if these drugs are helpful, their effectiveness usually diminishes over time. Small pilot studies have indicated that using hormone tablets sparingly, for just long enough to control the cancer, followed by a break in treatment and restarting them later, seems to improve how long hormone tablets can control the cancer. This study aims to find out if this pause/restart strategy is better than taking hormone tablets every day continuously. The study will include 168 people with metastatic castrate resistant prostate cancer in the Netherlands and Australia. Patients will be randomly 1:1 assigned between the control group and the experimental group. In the control group, patients will take the treatment with AA/ENZ every day until the prostate cancer doesn't respond anymore to the treatment. In the experimental group, patients will start with daily AA/ENZ until the PSA has declined for >50%. The treatment will then be paused and monthly PSA measurements will be performed. The treatment will be re-initiated when the PSA has increased to the level of before starting treatment. The treatment will be continued daily until the PSA has again dropped for >50%. This pause/restart cycle will be repeated until the prostate cancer doesn't respond anymore to the treatment.
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.
To evaluate the pathological response rate of pamiparib combined with abiraterone acetate in neoadjuvant therapy for surgically resectable high-risk or very high-risk prostate cancer after radical prostatectomy
This study is to obtain acute dose safety and pharmacokinetics/pharmacodynamics (PK/PD) data in a dose-response trial in prostate cancer patients.
Prostate cancer is the most frequent malignancy in the male population of developed countries and has a substantial socio-economic impact. Focal therapies, including focal laser ablation (FLA), are gaining ground as a novel strategy to treat organ-confined low- to intermediate risk PCa while preserving healthy tissue and reduce treatment-related morbidity associated with radical treatments. This project has the goal to perform a feasibility study on magnetic resonance imaging (MRI)-guided focal laser ablation using the TRANBERG®|Thermoguide Therapy System including TRANBERG®Thermoguide Workstation for MR thermometry developed by the company CLS AB.
This is a phase 1/2a, first-in-human study to evaluate Safety, Tolerability, PK, PD, Immunogenicity, and Antitumor Activity of LAVA-1207 alone or with low dose interleukin-2 or Pembrolizumab, in patients with therapy refractory metastatic castration resistant prostate cancer.