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Clinical Impact of Cardiac Photon-Counting Detector CT

Comprehensive Characterization of Coronary Atherosclerotic Disease Using Photon-counting Detector Dual-source CT and Its Impact on Patient Management

Status
Completed
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05240807
Enrollment
276
Registered
2022-02-15
Start date
2022-08-24
Completion date
2026-03-19
Last updated
2026-06-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Coronary Artery Disease

Keywords

Coronary CT Angiography, Cardiac Stress Imaging, Photon Counting CT, Cardiac CT

Brief summary

The purpose of this research trial is to determine whether images taken using a Photon Counting Detector CT scanner (PCD-CT) provide clinically important information about the severity of suspected coronary artery disease and perfusion defects compared to traditional Energy Integrating Detector CT (EID-CT) and nuclear medicine cardiac stress tests.

Detailed description

This study will focus on demonstrating the benefits of PCD-CT for clinical indications and findings where the improved spatial and temporal resolution, decreased quantum and electronic noise, improved spectral imaging capabilities, and increased iodine signal are expected to benefit the diagnosis and characterization of CAD and myocardial perfusion defects.

Interventions

Cardiac CT imaging will be performed using a newly developed CT scanner that uses photon-counting detectors and the results compared to those from conventional CT, MRI, or nuclear medicine imaging systems

Sponsors

Mayo Clinic
Lead SponsorOTHER
National Institute for Biomedical Imaging and Bioengineering (NIBIB)
CollaboratorNIH

Study design

Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to 99 Years
Healthy volunteers
No

Inclusion criteria

* Patients referred for coronary artery cardiac CT imaging or nuclear medicine or MRI cardiac perfusion within the Department of Radiology or Cardiology. * Patients who are able and willing to sign the informed consent will be enrolled * Negative pregnancy test if subject is of child-bearing age (females of child-bearing potential will be screened for pregnancy using a urine pregnancy test, which will be administered by the unit study coordinator at no cost to the patient).

Exclusion criteria

* Patients unable to provide written informed consent * Pregnancy * eGFR ≤ 30 * History of prior moderate or severe contrast reaction includes: unresponsiveness, severe respiratory distress, convulsions, arrhythmia, cardiopulmonary distress, progressive angioedema, laryngeal edema, dyspnea, bronchospasm, symptomatic tachycardia, symptomatic bradycardia, hypotension, hypertensive crisis. * Any history of required premedication prior to iodinated contrast administration. * Patients that consent to participation but do not undergo their clinically-indicated, contrast-enhanced CT, or nuclear medicine or MR perfusion scanning for any reason (e.g., bad IV, infiltration, reaction, change in indication). * Patients experiencing atrial fibrillation, premature ventricular contractions or other heart rhythm abnormalities * Hospitalized patients or patients under care in the Emergency Department Specific

Design outcomes

Primary

MeasureTime frameDescription
Arm 1: Change in Clinical Coronary Artery Disease Status Measured in Photon-counting Detector CT Relative to Clinical CT as Measured by Percent Area StenosisThrough completion of CT exam, approximately 1 hourPercent area stenosis (PAS) measures coronary artery stenosis (blockage) and is defined as the vessel's cross-sectional area in the region of highest stenosis (i.e., most closed) divided by the healthy vessel's cross-sectional area. PAS can range from 0% to 100% with higher percentages indicating worse stenosis. In arm 1, PAS was measured at the site of worst stenosis in each coronary vessel or patient using validated commercial software. For each stenosis, PAS was measured at the same location in the photon-counting detector CT (PCD-CT) angiography scan and in the clinical CT angiography scan (EID-CT). These values were subtracted to get a change in PAS between the clinical EID-CT scan and the PCD-CT scan for each stenosis. Change in PAS impacts patient management. During recruitment, the PCD-CT scanner had a multi-energy ultra-high resolution update allowing a new scan mode that collected x-ray energy data. This mode was used for all patients recruited after the update.
Arm 2: Reader Sensitivity and Specificity to Myocardial Perfusion Defects Imaged by Photon-counting Detector CT at RestThrough completion of CT exam, approximately 1 hourSensitivity was calculated as the number of patients correctly identified by the reader as having perfusion defects on photon-counting detector (PCD) CT divided by the total number of patients with perfusion defects. Specificity was calculated as the number of patients correctly identified by the reader as not having perfusion defects on PCD-CT divided by the total number of patients without perfusion defects. Sensitivity and specificity can range between 0 and 100%. All analyzed images were taken when the patient was at rest.

Secondary

MeasureTime frameDescription
Arm 1: Number of Participants With Decrease in Coronary Artery Disease-Reporting and Data System (CADRADS) ScoreThrough completion of CT exam, approximately 1 hourCoronary Artery Disease-Reporting and Data System (CADRADS) score is a value assigned to each patient based on the patient's highest percent diameter stenosis (PDS) with higher scores indicating worse stenosis. PDS is defined as the diameter of the stenosed (blocked) coronary vessel divided by the diameter of the healthy vessel. A CADRADs score of 0-5 is assigned to the following PDS values, respectively: 0%, 1-24%, 25-49%, 50-70%, 70-99%, and 100%. A CADRAD score was calculated for each patient in both EID-CT and PCD-CT scans based on the respective PDS for the same lesion. The number of patients whose CADRADS decreased in PCD-CT relative to EID-CT (e.g. 2 on PCD-CT, 3 on EID-CT) is reported below. Change in CADRADS impacts patient management. During recruitment, the PCD-CT scanner had a multi-energy ultra-high resolution update allowing a new scan mode that collected x-ray energy data. This mode was used for all patients recruited after the update.
Arm 2: Reader Sensitivity and Specificity to Myocardial Perfusion Defects Imaged by Photon-counting CT During Cardiac StressThrough completion of CT exam, approximately 1 hourSensitivity was calculated as the number of patients correctly identified by the reader as having perfusion defects on photon-counting detector CT (PCD-CT) divided by the total number of patients with perfusion defects. Specificity was calculated as the number of patients correctly identified by the reader as not having perfusion defects on PCD-CT divided by the total number of patients without perfusion defects. Sensitivity and specificity can range between 0 and 100%. All analyzed images were taken after the patient was administered a pharmacological cardiac stress agent to increase heart rate.

Countries

United States

Contacts

PRINCIPAL_INVESTIGATORCynthia McCollough, PhD

Mayo Clinic

Participant flow

Recruitment details

Patients scheduled for a clinically indicated coronary CT angiogram, stress cardiac MRI, or nuclear cardiovascular stress scan in Mayo Clinic Rochester outpatient practice were invited to participate in this study from August 2022 to February 2026. After their clinical exam, patients were approached by a study coordinator to discuss the research study. If they provided written informed consent, the patient was escorted to their photon-counting detector CT scan.

Pre-assignment details

After their clinical scan and before their research scan (intervention), 25 patients withdrew consent, 4 patients failed to meet the inclusion criteria, and 1 patient had an issue with IV placement that prevented scanning resulting in a final cohort of 246 patients.

Baseline characteristics

Characteristic
Age, Continuous71.64 Years
STANDARD_DEVIATION 7.06
Ethnicity (NIH/OMB)
Hispanic or Latino
3 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
228 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
4 Participants
Race (NIH/OMB)
American Indian or Alaska Native
1 Participants
Race (NIH/OMB)
Asian
0 Participants
Race (NIH/OMB)
Black or African American
3 Participants
Race (NIH/OMB)
More than one race
0 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants
Race (NIH/OMB)
Unknown or Not Reported
4 Participants
Race (NIH/OMB)
White
221 Participants
Sex: Female, Male
Female
89 Participants
Sex: Female, Male
Male
146 Participants
Weight87.55 kg
STANDARD_DEVIATION 17.73

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
0 / 2350 / 11
other
Total, other adverse events
0 / 2350 / 11
serious
Total, serious adverse events
0 / 2350 / 11

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jun 13, 2026