Loading clinical trials...
Loading clinical trials...
Quarter-Time Myocardial Perfusion SPECT
A new, innovative software image processing method, wide beam reconstruction (WBR), utilizes resolution recovery and incorporates Poisson noise-reduction into the reconstruction process of NM images. This method facilitates the reconstruction of low count density myocardial perfusion SPECT images. Preliminary research indicates that SPECT acquisition time consequently can be reduced by 60% (less than 5 minutes) for rest and by 75% (just over 3 minutes) for stress, while tomographic image quality is maintained, or even improved. Such a decrease in image acquisition time decreases patient discomfort during the tomographic acquisition, decreases the opportunity for patient motion, and improves laboratory efficiency.
Standard full-time SPECT will be processed using FBP and compared to 3-minute stress and 5-minute rest scans processed with WBR. The following scan parameters will be evaluated: image quality; perfusion defect extent, severity, and reversibility; transient ischemic dilatation; left ventricular end-diastolic volume; left ventricular end-systolic volume; left ventricular ejection fraction; and regional wall motion and wall thickening abnormalities. These parameters will be assessed visually by experienced Nuclear physicians (at least 2 blinded readers) and quantitatively using several different commercially available software programs.
Age
18 - No limit years
Sex
ALL
Healthy Volunteers
No
Start Date
May 1, 2007
Primary Completion Date
August 1, 2007
Completion Date
January 1, 2008
Last Updated
August 26, 2008
134
ACTUAL participants
quarter-time stress scans reconstructed by WBR (4SPS) - Xpress3.Cardiac
DEVICE
quarter-time rest scans reconstructed by WBR (6/8/10 SPS) - Xpress3.Cardiac
DEVICE
Lead Sponsor
St. Luke's-Roosevelt Hospital Center
NCT06948266
NCT06707116
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.
Neither the United States Government nor Clareo Health make any warranties regarding the data. Check ClinicalTrials.gov frequently for updates.
View ClinicalTrials.gov Terms and Conditions