Search clinical trials by condition, location and status
The goal of the study is to evaluate how safe and how well the body handles GSK5458514 when administered in participants with prostate cancer. The study will be conducted in two parts - Part 1 (dose escalation phase) and Part 2 (dose expansion phase).
This serves as a registration trial. It aims to record short, intermediate, and long-term outcomes of patients treated with targeted laser ablation of biopsy confirmed prostate cancer. Outcomes will be categorized as: 1- Procedure Related, 2- Perioperative - Adverse Events that may occur within 90 days, 3-Oncologic: Recurrence of cancer in treatment area, de-novo tumors, conversion to radical surgery, radiation or cryoablation, emergence of metastasis, 4- Functional: Sexual and Urinary function following treatment
Registration of Prostate Cancer patients undergoing Prostate Cryotherapy guided by Mutiparametric-MRI (MP-MRI) highlighting biopsy confirmed regions. The primary outcome measure is 5 year oncological control. Secondary aim is lack of progression beyond the prostate gland. The aim of intervention is to eradicate prostate cancer disease in the treated area while imposing no or minimal deleterious effects in quality of life.
This study will enroll participants who are undergoing an MRI before a prostate biopsy due to suspected prostate cancer. The purpose of this study is to see if the use of Artificial Intelligence (AI) helps detect lesions on an MRI better than a radiologist not using AI. The AI Rad Companion (AIRC) Prostate MRI application is a software that uses measurements of the prostate and will be utilized in this study to help detect potential cancerous lesions. The AI software will assign the lesions a PI-RADS score, which is a way to measure the chance of the lesion being cancer. There are two parts to this study. The first part involves comparing the interpretation of prostate MRI images by a radiologist alone, a radiologist aided by AI, and AI alone. A systematic biopsy will be completed per standard of care. The radiologist may opt to include up to 2 additional AI-identified targets to biopsy in addition to those biopsied for standard of care. The second part of the study involves utilizing the MRI images from the first part of the study in addition to retrospective prostate MRI images. These de-identified images, along with Prostate Image Quality (PI-QUAL) scores, clinical data, and biopsy results will be sent to Siemens in order to aid in the development of methods to identify good or bad image quality in prostate MRI images.
International registry for cancer patients evaluating the feasibility and clinical utility of an Artificial Intelligence-based precision oncology clinical trial matching tool, powered by a virtual tumor boards (VTB) program, and its clinical impact on pts with advanced cancer to facilitate clinical trial enrollment (CTE), as well as the financial impact, and potential outcomes of the intervention.
This is a dose-finding study to assess the safety and preliminary antitumor activity of Pocenbrodib alone or with Abiraterone acetate, Olaparib or 177Lu-PSMA-617 in patients with metastatic castration-resistant prostrate cancer (mCRPC).
Flotufolastat F-18, sold under the brand name Posluma, is a radioactive diagnostic agent for use with positron emission tomography (PET) imaging for prostate cancer. The research is being done to study the capability of 18F-rhPSMA-7.3 (flotufolastat F-18) PET scan to detect prostate cancer when there are very low levels of Prostate-Specific Antigen (PSA) following previous radical prostatectomy surgery.