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| ID | Type | Description | Link |
|---|---|---|---|
| 18-C-0017 |
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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
Background:
Objective:
-To evaluate radiological profiling of patients with prostate cancer in support of the Molecular Imaging Branch (MIB) for identification of imaging-based prognostic markers in prostate cancer.
Eligibility:
Design:
-Imaging evaluation and clinical profiling of patients with an increased risk of prostate cancer, with prostate cancer or suspected of prostate cancer (obtained during visits to NIH or from external providers) will be collected over the course of at least 5 years and analyzed.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 1/ Cohort 1 | Subjects with an increased risk of prostate cancer or a diagnosis of prostatic cancer or suspicious for prostatic cancer lesions. |
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| Measure | Description | Time Frame |
|---|---|---|
| Associations between imaging features and clinicopathological factors | Radiological profiling of patients with prostate cancer | 10 years |
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EXCLUSION CRITERIA:
-none
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primary clinical
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Yolanda L McKinney, R.N. | Contact | (240) 760-6095 | ymckinney@mail.nih.gov | |
| Ismail B Turkbey, M.D. | Contact | (240) 760-6112 | turkbeyi@mail.nih.gov |
| Name | Affiliation | Role |
|---|---|---|
| Ismail B Turkbey, M.D. | National Cancer Institute (NCI) | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| National Institutes of Health Clinical Center | Recruiting | Bethesda | Maryland | 20892 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 27088600 | Background | 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. | |
| 25525604 | Background | 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. |
| Label | URL |
|---|---|
| NIH Clinical Center Detailed Web Page | View source |
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All IPD recorded in the medical record will be shared with intramural investigators upon request.
Clinical data available during the study and indefinitely.
Clinical data will be made available via subscription to BTRIS and with the permission of the study PI.
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| ID | Term |
|---|---|
| D011471 | Prostatic Neoplasms |
| D011470 | Prostatic Hyperplasia |
| ID | Term |
|---|---|
| D005834 | Genital Neoplasms, Male |
| D014565 | Urogenital Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
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| 27998677 | Background | 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. |
| 39996409 | Derived | Esengur OT, Stevenson E, Stecko H, Lay NS, Yang D, Tetreault J, Xu Z, Xu D, Yilmaz EC, Gelikman DG, Harmon SA, Merino MJ, Gurram S, Wood BJ, Choyke PL, Pinto PA, Turkbey B. Assessing the Impact of Transition and Peripheral Zone PSA Densities Over Whole-Gland PSA Density for Prostate Cancer Detection on Multiparametric MRI. Prostate. 2025 May;85(6):612-624. doi: 10.1002/pros.24863. Epub 2025 Feb 25. |
| 38713024 | Derived | Lin Y, Yilmaz EC, Belue MJ, Harmon SA, Tetreault J, Phelps TE, Merriman KM, Hazen L, Garcia C, Yang D, Xu Z, Lay NS, Toubaji A, Merino MJ, Xu D, Law YM, Gurram S, Wood BJ, Choyke PL, Pinto PA, Turkbey B. Evaluation of a Cascaded Deep Learning-based Algorithm for Prostate Lesion Detection at Biparametric MRI. Radiology. 2024 May;311(2):e230750. doi: 10.1148/radiol.230750. |
| 37129493 | Derived | Yilmaz EC, Shih JH, Belue MJ, Harmon SA, Phelps TE, Garcia C, Hazen LA, Toubaji A, Merino MJ, Gurram S, Choyke PL, Wood BJ, Pinto PA, Turkbey B. Prospective Evaluation of PI-RADS Version 2.1 for Prostate Cancer Detection and Investigation of Multiparametric MRI-derived Markers. Radiology. 2023 May;307(4):e221309. doi: 10.1148/radiol.221309. Epub 2023 May 2. |
| D005832 |
| Genital Diseases, Male |
| D000091662 | Genital Diseases |
| D000091642 | Urogenital Diseases |
| D011469 | Prostatic Diseases |
| D052801 | Male Urogenital Diseases |