Ignite Creation Date:
2024-05-06 @ 1:15 AM
Last Modification Date:
2024-10-26 @ 11:01 AM
Study NCT ID:
NCT01766869
Status:
WITHDRAWN
Last Update Posted:
2020-03-18
First Post:
2013-01-08
Brief Title:
Improving Cancer Foci Detection in Prostate Cancer Using Multiparametric MRIMRS
Sponsor:
University of Maryland Baltimore
Organization:
University of Maryland Baltimore
Study Overview
Official Title:
Improving Cancer Foci Detection in Prostate Cancer Using Multiparametric MRIMRS and Machine Learning to Better Manage the Disease
Status:
WITHDRAWN
Status Verified Date:
2020-03
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
No participants enrolled
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
GCC 1261
Brief Summary:
The investigators goal is to develop a non-selective and non-invasive procedure to identify aggressive tumors and simultaneously identify their exact location in Prostate cancer patients undergoing radical prostatectomy by combining multiparametric MRI and machine learning techniques The combination of multi-parametric MRI and machine learning validated using histopathology can lead to increased sensitivity and specificity of cancer foci in the prostate and help in isolating aggressive from indolent tumors This increased sensitivity and specificity may eventually lead to a a reduction in the number of patients that undergo unnecessary treatment and b enhance current treatment options by enabling the use of focused therapies The investigators will recruit 15 patients with prostate cancer that are currently scheduled to undergo radical prostatectomy into the study All patients will obtain an advanced MRI study prior to the radical prostatectomy MRI scans will include a high-resolution volumetric images using T1 and T2-weighted imaging b vascular images using dynamic contrast enhanced DCE imaging c biophysical microstructure images using diffusion-weighted imaging and d biochemical images using MR spectroscopic imaging Following radical prostatectomy a pathologist will grade the prostatectomy specimens based on standard of care Gleason grading system Correlations will be generated between the parameters obtained from scans and from clinical assessments
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None