View clinical trials related to Prostate Cancer.
Filter by:The PROMOD study is an international multicenter retrospective Project. The aim is to create a comprehensive database that will include multiple heterogeneous cohorts in order to explore inter-center differences in the accuracy of Magnetic Resonance Imaging (MRI) in the diagnosis of prostate cancer and to define optimal strategies for the selection of men at risk of clinically significant prostate cancer who might benefit from biopsies.
This is a Phase 1/2 study of EPI-7386 orally administered in combination with enzalutamide in subjects with mCRPC. Phase 1 of the study will be a single-arm dose escalation study of EPI-7386 in combination with a fixed dose of enzalutamide. This portion of the study will primarily evaluate the safety and tolerability of the drug combination and establish the RP2CDs for EPI-7386 and enzalutamide when dosed in combination. In addition, blood sampling will be conducted for PK evaluation to assess the potential DDI between the two drugs. Once the RP2CD for each drug has been established, Phase 2 of the study will commence. Phase 2 is a two-arm, randomized (2:1), open-label study. Approximately 120 subjects will be randomized 2:1 to: - Group 1: EPI-7386 at the RP2CD + enzalutamide(depending on the results of the Phase 1) (n=80) - Group 2: Enzalutamide single agent (n=40) The planned dose of enzalutamide and EPI-7386 for the combination arm will be those determined in the Phase 1 of this study based on safety and exposure data. Subjects may remain on study treatment as long as they are tolerating treatment without disease progression based on RECIST v1.1 and/or PCWG3.
Patients with primary low and intermediate risk prostate cancer (PCa) for whom radical prostatectomy are indicated, will be invited to participate to the present study. The aim of this study is to investigate the clinical value of 68Ga-GRP positron emission tomography / computed tomography (PET/CT) compared to 68Ga-PSMA PET/CT in patients with low and intermediate risk PCa.
Comparison of the efficacy and safety of 2 types of prostatic biopsies: transperineal biopsy versus transrectal biopsy.
Hot flashes are a common and debilitating symptom among prostate cancer patients undergoing androgen deprivation therapy (ADT). Strong evidence from multiple rigorously designed studies indicated that venlafaxine provides partial relief, but the tolerability is poor when the dose is not tapered. Hence, an alternative therapy is needed. Previous studies reported that acupuncture may be helpful in the management of hot flashes. However, the insufficient randomized controlled trial limited the quality of evidence.
This is a randomized controlled trial of patients scheduled for hysterectomy or prostatectomy surgeries who undergo a pre-anesthesia evaluation at Moffitt Cancer Center PreAnesthesia Testing (PAT) clinic. Traditionally, patients who met certain criteria based on type of surgery or comorbidities would undergo an in-person evaluation in our clinic. In order to make our patient's care more convenient and accessible, investigators have introduced telemedicine evaluation for a certain subset of patients meeting specific criteria. Investigators aim with this randomized trial to investigate the hypothesis that telemedicine pre-anesthesia evaluation is non-inferior to in-person evaluation from the standpoint of day of surgery cancellation rate.
Regular exercise has been shown to have beneficial health effects in cancer survivors, including improving quality of life and other important health outcomes. However, providing people with cancer with easily accessible, high-quality exercise support and programs is a challenge. Therefore, there is a need to develop easily accessible exercise programs that draw upon the current evidence. Supervised, distance-based exercise programs have the benefit of reaching out to many people while providing the support of an exercise professional. The aim of the EX-MED Cancer Sweden trial is to examine the effectiveness of a supervised, distance-based exercise program, in people previously treated for breast, prostate, or colorectal cancer, on health-related quality of life (HRQoL), as well as other physiological and patient-reported health outcomes. Participants will be randomized to a 3-month supervised, distance-based exercise program or to a usual care control group. Testing timepoints are baseline, 3 months (end of intervention) and 6 months (3 month followup). At these timepoints, patients will be asked to fill in online questionaires, and and undergo physical tests. A selection of the particpants and personal trainers involved in the intervention will also be invited to participate in focus group discussion or interviews about the experiences of being involved in the EX-MED Cancer Sweden program.
The purpose of this study is to utilize this technology in the early detection and staging of pathologic states within prostate cancer patients using the information obtained on mpMRI and serum biomarkers from the patient's blood (if collected). Ultimately, investigators hope to improve the diagnostic accuracy and treatment selection process for these patients. Applying the fusion software which adds mpMRI to ultrasound images in real time, to an otherwise clinically standard but non-targeted ultrasound-guided prostate biopsy procedure will help with accurate and early diagnosis of prostate cancer.
ONCO-FIRE proposes to build a novel hyper-architecture and a common data model (CDM) for oncology, as well as a rich, modular toolset enabling significantly increased interoperability, exploitability, use and reuse of diverse, multi-modal health data available in electronic Health Records (EHR) and cancer big data repositories to the benefit of health professionals, healthcare providers and researchers; this will eventually lead to more efficient and cost-effective health care procedures and workflows that support improved care delivery to cancer patients encompassing support for cancer early prediction, diagnosis, and follow-up. The applicability, usefulness and usability of the proposed hyper-architecture, CDM and toolset for oncology and the high exploitability of health data will be demonstrated in diverse data exploitation scenarios related to breast and prostate cancer involving a number of Virtual Assistants (VAs) and advanced services offering to health care professionals (HCPs), hospital administration/healthcare providers and researchers data-driven decision-support and easy navigation across large amounts of cancer-related information. Through the above mentioned outcomes and the (meta)data interoperability achieved, ONCO-FIRE contributes to the exploitation of large volumes, highly heterogeneous (meta)data in EHR and data repositories including imaging data, structured data (e.g. demographics, laboratory, pathological data), as well as diverse formats of unstructured clinical reports and notes (e.g. text, pdf), including (but not limited to) temporal information related to the patient care pathway and genomics data currently "hidden" in unstructured medical reports, and more. Importantly, ONCO-FIRE interconnects, following a federated approach, large, distributed cancer imaging repositories, currently used for AI tools training and validation, with patient registries and EHRs of cancer-related data and supports exploitation of relevant unstructured data through novel Natural Language Processing (NLP) tools. The ultimate goal is to establish a patient-centric, federated multi-source and interoperable data-sharing ecosystem, where healthcare providers, clinical experts, citizens and researchers contribute, access and reuse multimodal health data, thereby making a significant contribution to the creation of the European Health Data Space.
This clinical trial studies the effect of four different intervention components "tools" on body weight, nutrition, and physical activity in cancer survivors. Studies indicate that people with a history of cancer whose nutrition and physical activity habits are consistent with the American Cancer Society's Nutrition and Physical Activity Guidelines may have longer disease-free survival. The four different intervention components may help patients with a history of cancer adopt recommended health behaviors after they have completed treatment.