Overview

This trial is active, not recruiting.

Condition compare image quality between sdct and conventional ct images of any tissue lesion, determine optimal monochromatic energy level for a coronary artery image
Treatment computed tomography scan
Sponsor Philips Healthcare
Start date October 2013
End date September 2016
Trial size 150 participants
Trial identifier NCT02760706, SDCTUH08-13-12

Summary

Study hypothesis: Post-processed SDCT images provide additional diagnostic value over conventional CT datasets.

The CT examination would be a clinically-necessary, standard-of-care CT performed as per the clinical indication. The protocol and scan parameters for the CT exam will be similar to that of an equivalent scan performed with any other CT scanner. There would be no additional scanner of injection of any drug specifically for the study. The conventional CT images generated by the scanner will be used for clinical purposes as routinely practiced.

United States No locations recruiting
Other Countries No locations recruiting

Study Design

Observational model case-only
Time perspective prospective

Primary Outcomes

Measure
Determine if Post-processed SDCT images provide additional diagnostic value over conventional CT datasets.
time frame: 6 months

Eligibility Criteria

Male or female participants from 18 years up to 100 years old.

Inclusion Criteria: - a patient scheduled for a clinically indicated CT scan for one or more of the following body regions/organ systems: - head and neck - body (chest and abdomen/pelvis) - cardiovascular structures. - these scans may be without contrast, with contrast enhancement, or CT angiograms. Exclusion Criteria: - under the age of 18 years old - standard exclusion criteria for CT scans

Additional Information

Official title Preliminary Assessment of the Added Diagnostic Value of Dual Energy Computed Tomography (DECT) Images Using Data Acquired on a Spectral Detector Computed Tomography (SDCT)
Principal investigator Robert C Gilkeson,, M.D.
Trial information was received from ClinicalTrials.gov and was last updated in May 2016.
Information provided to ClinicalTrials.gov by Philips Healthcare.