Prostate Cancer Clinical Trial
Official title:
Profiling of Radiological Factors in Treatment and Outcomes in Prostate Cancer
Background: Prostate cancer is one of the most common cancers for men in the U.S. There are some new ways to take pictures of the cancer. There are also new ways to use image-guided biopsy and therapy. These could help manage prostate cancer. Researchers want to study how imaging can provide a profile of prostate cancer. They want to collect data to make diagnosis and treatments better. Objectives: To gather data about the radiological and clinical course of prostate cancer. To study imaging-based biomarkers of prostate cancer. Eligibility: Men ages 18 and older with diagnosed or suspected prostate cancer Design: Participants will give permission for researchers to use their medical history and records. Their data will be reviewed, collected, and analyzed. These include results of their tests and scans. Sponsoring Institution: National Cancer Institute
Status | Recruiting |
Enrollment | 10000 |
Est. completion date | December 31, 2033 |
Est. primary completion date | December 31, 2030 |
Accepts healthy volunteers | No |
Gender | Male |
Age group | 18 Years and older |
Eligibility | - INCLUSION CRITERIA: - 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. EXCLUSION CRITERIA: -none |
Country | Name | City | State |
---|---|---|---|
United States | National Institutes of Health Clinical Center | Bethesda | Maryland |
Lead Sponsor | Collaborator |
---|---|
National Cancer Institute (NCI) |
United States,
Lavery HJ, Cooperberg MR. Clinically localized prostate cancer in 2017: A review of comparative effectiveness. Urol Oncol. 2017 Feb;35(2):40-41. doi: 10.1016/j.urolonc.2016.11.013. Epub 2016 Dec 18. — View Citation
Toth R, Sperling D, Madabhushi A. Quantifying Post- Laser Ablation Prostate Therapy Changes on MRI via a Domain-Specific Biomechanical Model: Preliminary Findings. PLoS One. 2016 Apr 18;11(4):e0150016. doi: 10.1371/journal.pone.0150016. eCollection 2016. — View Citation
Wang S, Burtt K, Turkbey B, Choyke P, Summers RM. Computer aided-diagnosis of prostate cancer on multiparametric MRI: a technical review of current research. Biomed Res Int. 2014;2014:789561. doi: 10.1155/2014/789561. Epub 2014 Dec 1. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Associations between imaging features and clinicopathological factors | Radiological profiling of patients with prostate cancer | 10 years |
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