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Diffuse Optical Tomography in Prostate Cancer Detection and Risk Stratification A Pilot Study
This study is looking to see if a new device, diffuse optical tomography (DOT), can detect prostate cancer. The investigators will also see if DOT can tell the difference between high risk and low risk prostate cancers.
While some of these tools have helped to guide therapy in patients with prostate cancer, they are imperfect and as a result many men undergo unnecessary treatment for a disease that would not have caused their deaths. An improved method to risk stratify men with prostate cancer prior to definitive therapy may reduce the over-treatment rate, while maintaining or improving mortality. Diffuse optical tomography (DOT) is a novel imaging modality that uses low-intensity, near-infrared light to characterize tissue. DOT analyzes the light being reflected and transmitted through tissue to generate three-dimensional images of chromophores and light scattering. As such, DOT serves as a functional imaging modality, measuring both tissue vascularity and architecture. The investigators believe that DOT will be able to detect prostate cancer in men suspected of the disease and will also be able to risk-stratify patients found to have prostate cancer to help guide treatment options. DOT may be able to directly measure two factors important in the prognosis of patients with prostate cancer: the Gleason score and microvessel density (MVD).
Age
18 - 99 years
Sex
MALE
Healthy Volunteers
No
Columbia University Medical Center
New York, New York, United States
Start Date
June 13, 2016
Primary Completion Date
February 8, 2018
Completion Date
February 8, 2018
Last Updated
August 2, 2018
9
ACTUAL participants
Diffuse Optical Tomography (DOT) System
DEVICE
Lead Sponsor
Columbia University
NCT04550494
NCT06842498
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
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View ClinicalTrials.gov Terms and ConditionsNCT05691465