Quantifying Post- Laser Ablation Prostate Therapy Changes on MRI via a Domain-Specific Biomechanical Model: Preliminary Findings.
Robert Toth, Dan Sperling, Anant Madabhushi
https://pubmed.ncbi.nlm.nih.gov/27088600Actively Recruiting
Age: 18Years +
MALE
ID03354416
Profiling of Radiological Factors in Treatment and Outcomes in Prostate Cancer
Led by National Cancer Institute (NCI) · Updated on 2026-04-29
10000
Participants Needed
1
Research Sites
156 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
Researchers are studying prostate cancer in men using new imaging techniques to better understand and profile the disease. This research aims to collect detailed data on how prostate cancer progresses and to identify imaging markers that can help improve diagnosis and treatment decisions. The study is observational and sponsored by the National Cancer Institute. Participants include men 18 years or older who have been diagnosed with prostate cancer or are suspected of having the disease. Data such as medical history, test results, and imaging scans like multiparametric MRI will be collected and analyzed over at least five years. This approach supports development of computer-aided diagnosis, decision support tools, and artificial intelligence research. During the study, researchers will review existing medical records and imaging data without requiring additional treatments. They will assess associations between imaging features and clinical factors over ten years. Participants will provide consent for data use, and no specific interventions or procedures are involved. The study focuses on gathering information to advance understanding and care of prostate cancer.
CONDITIONS
Brief Title
Profiling of Radiological Factors in Treatment and Outcomes in Prostate Cancer
Who Can Participate
Age: 18Years +
MALE
Eligibility Criteria
You may qualify if you...
- Patients with an increased risk for prostate cancer (strong family history and/or germline mutation in DNA repair genes), or with a diagnosis of prostatic cancer or suspicious for prostatic cancer lesions.
- Age greater than or equal to 18 years
- Ability of subject to understand and the willingness to sign a written informed consent document.
You will not qualify if you...
- None
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
1
2
3
Your Study Journey
Screening
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
Long-term Monitoring
Duration - At least 5 years
Participants with an increased risk of prostate cancer or diagnosed/suspected prostate cancer are observed over time with imaging and clinical profiling to support research in imaging-based prognostic markers.
Trial Site Locations
Total: 1 location
1
National Institutes of Health Clinical Center
Bethesda, Maryland, United States, 20892
Actively Recruiting
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Research Team
Y
Yolanda L McKinney, R.N.
I
Ismail B Turkbey, M.D.
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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Published Research Related To This Trial
Computer aided-diagnosis of prostate cancer on multiparametric MRI: a technical review of current research.
Shijun Wang, Karen Burtt, Baris Turkbey...
https://pubmed.ncbi.nlm.nih.gov/25525604Clinically localized prostate cancer in 2017: A review of comparative effectiveness.
Hugh J Lavery, Matthew R Cooperberg
https://pubmed.ncbi.nlm.nih.gov/27998677Assessing the Impact of Transition and Peripheral Zone PSA Densities Over Whole-Gland PSA Density for Prostate Cancer Detection on Multiparametric MRI.
Omer Tarik Esengur, Emma Stevenson, Hunter Stecko...
https://pubmed.ncbi.nlm.nih.gov/39996409Evaluation of a Cascaded Deep Learning-based Algorithm for Prostate Lesion Detection at Biparametric MRI.
Yue Lin, Enis C Yilmaz, Mason J Belue...
https://pubmed.ncbi.nlm.nih.gov/38713024Prospective Evaluation of PI-RADS Version 2.1 for Prostate Cancer Detection and Investigation of Multiparametric MRI-derived Markers.
Enis C Yilmaz, Joanna H Shih, Mason J Belue...
https://pubmed.ncbi.nlm.nih.gov/37129493