Active clinical trials for "Prostatic Neoplasms"

In this project, we will integrate the Photoacoustic (PA) technology into a prostate biopsy procedure through a fine needle probe. The needle probe will be in the shape of a biopsy needle and compatible with the needle insertion mechanism in the transrectal ultrasound (TRUS) probe. When inserted into the prostate, the fine needle PA probe will assess the histological information in its surrounding tissue without any tissue extraction. The needle probe has been tested in prostate tissue samples and whole human prostates ex vivo.

Following the major technological and scientific advances in external radiotherapy in recent decades, thanks to the use of three-dimensional conformal techniques combined with intensity modulation, image-guided radiotherapy has enabled radiotherapists to increase doses without increasing sequelae and complications, giving rise to the term "dose escalation". Following multiple dose-escalation clinical trials showing better biological control of PSA, the results of the latest phase 3 FLAME trial incorporated the notion of intraprostatic boost in relation to the primary prostate lesion, considered to be the preferred site of neoplastic recurrence in prostate cancer. This leads to the first question, which concerns the identification of the dominant lesion and its precise delimitation. This last point is subject to variation between operators. A retrospective cohort from the Finistère region will therefore be used to develop a number of study points relating to : inter-operator contour variability Factors influencing contour Impact of contour variability on dosimetry Automatic segmentation

This clinical trial examines RefleXion Medical Radiotherapy System (RMRS) imaging to the standard of care (SOC) [18F]-DCFPyL positron emission tomography-computed tomography (PET-CT) imaging in patients with prostate cancer. PET is an established imaging technique that utilizes small amounts of radioactivity attached to very minimal amounts of a tracer, [18F]-DCFPyL, that binds to prostate specific membrane antigen (PSMA) on tumor cells. These PSMA tumor cells can then be identified on PET imaging. CT utilizes x-rays that traverse body from the outside. CT images provide an exact outline of organs and potential inflammatory tissue where it occurs in patient's body. The RMRS is a imaging-therapy combination system that can plan for and deliver radiation therapy as well perform [18F]-DCFPyL PET-CT imaging. Comparing the imaging from the standard of care [18F]-DCFPyL-PET-CT with the [18F]-DCFPyL imaging from RMRS may help improve the quality of the imaging captured and determine if imaging can be done on the RMRS at the same time as planning for radiation therapy, which would reduce the number of scans needed to plan for radiation for prostate cancer.

This study aims to define the natural history of men at high genetic risk for prostate cancer on the basis of specific germline genetic mutations or a positive family history and evaluate the utility of prostate MRI as a screening tool. The hypothesis is that this targeted population of men are at elevated risk of developing prostate cancer compared to the general population, and enhanced screening with MRI will enable early detection and diagnosis of potentially aggressive prostate cancer, characterization of the penetrance of specific mutations, and potentially identify new genetic risk mutations.

Due to the rapid growth, tumour demand for oxygen is often higher than what can be delivered by the newly forming blood vessels. Tumour adaption to this imbalanced oxygen supply and demand (hypoxia) is associated with poor prognosis and genetic changes (genomic instability) that allow it to become more resistant to chemo- and radiotherapy. Patients with hypoxic tumours therefore die earlier. Limited information is available on hypoxia in newly diagnosed prostate cancer, especially to what degree hypoxia in the prostate tumour is associated with the presence of metastases to bones. The Hyprogen trial is a prospective, non-randomised, exploratory biopsy and imaging biomarker study recruiting 60 patients with prostate cancer to better establish the role of hypoxia in prostate cancer cells evolution and early metastatic spread.

Background: Prostate cancer is the most common noncutaneous cancer among men in the U.S. Researchers want to study blood, tissue, and fluid samples of people with prostate cancer. This will help them understand any changes in cells and genes. These changes might lead to the development and progression of prostate cancer. Researchers think the study could lead to new treatments. Objective: To understand the changes in cells and genes that lead to the development and progression of prostate cancer. This could lead to new treatments. Eligibility: Men ages 18 and older who have or are suspected to have prostate cancer Design: Participants will be screened with physical exam and medical history. Participants will send tissue blocks of their tumor, if possible. If not, they will provide unstained slides of tumor tissue. Participants may provide samples of blood, urine, saliva, and prostate secretions. Participants may have imaging tests. They will lie in a machine that takes pictures of their body. These tests include: MRI of the prostate CT of the abdomen and pelvis Chest x-ray Participants may need a biopsy or surgery for treatment of their cancer. If so, researchers will collect tissue. Participants may answer questions about their prostate cancer and quality of life. Participants may have follow-up visits or other treatments. They may have follow-up phone calls every few months.

This research is being done to see if an investigational radioactive imaging agent (radiotracer) called 18F-DCFPyL can help us find prostate cancer at its original site in the prostate gland and in distant sites (bone, lymph nodes) in men diagnosed with prostate cancer before surgery.

This is a prospective phase II study of peri-operative docetaxel plus laparoscopic radical prostatectomy in patients with localized Gleason 7 pT2a-pT2b adenocarcinoma of the prostate and a risk of relapse after radical prostatectomy.

The purpose of this study is to evaluate a radioactive diagnostic study drug, which is called Gallium-68 Prostate Specific Membrane Antigen ([Ga-68]PSMA) for detection of bone metastasis in patients with prostate cancer. For imaging the investigators will use a FDA approved imaging technology, digital Positron Emission Tomography (PET/CT). The investigators would like to know if digital PET/CT using [Ga-68]PSMA provides accurate information about the extent of bone metastases. Therefore, the investigators will compare[Ga-68]PSMA PET/CT with Flourine-18 [F-18] Sodium Fluoride (NaF), which is a high resolution bone scan. [F-18]NaF is FDA approved and the reference standard for evaluating the presence of bone metastases.[Ga-68]PSMA is an investigational (experimental) drug that works by binding to Prostate Specific Membrane Antigen, which is overexpressed in prostate cancer. [Ga-68]PSMA is experimental because it is not approved by the Food and Drug Administration (FDA) at University Hospitals. However, FDA approval has been obtained for this study protocol by an Investigational New Drug (IND) application.

One-fifth of all men will develop clinically significant prostate cancers (CsPC) in their lifetime. An estimated 268,490 new prostate cancer (PCa) cases and 34,500 deaths are expected in the United States during the year 2022, making PCa the second most common cause of cancer-related deaths in men. MRI with the Prostate Imaging Reporting and Data System (PI-RADS) is a current widely used communicative tool for both CsPC detection and guiding targeted prostate biopsy. The high level of expertise required for accurate interpretation and persistent inter-reader variability has limited consistency and it has hindered the widespread adoption of PI-RADS. Artificial intelligence (AI) shows a broad prospect for medical interpretation and triage in various challenging tasks , including the PCa detection and staging with MRI. While rapid technical advances are furthering the application of AI medical imaging, their implementation in clinical practice remains a major hurdle. Besides, the prospect of data-derived AI tool is to assist human experts rather than replace them, and whether AI can match or exceed the human experts is still a matter of debate. Therefore, despite strong potential, there is urgent need for research to better quantify the accuracy, generalizability and clinical applicability before the clinical use of an AI in a real-world clinical setting.