MedPath

Prospective Registry of Patients Undergoing Cardiac CT With NAEOTOM Alpha PCD-CT Before TAVI Procedure

Recruiting
Conditions
Coronary Artery Disease
Aortic Valve Stenosis
Tomography, X-Ray Computed
Registration Number
NCT07016477
Lead Sponsor
Semmelweis University
Brief Summary

The clinical and demographic characteristics of patients undergoing transcatheter aortic valve implantation (TAVI) pose unique challenges for coronary computed tomography (CT) imaging, as this patient population is mainly composed of elderly, frail individuals with severe aortic stenosis, multiple comorbidities, high prevalence of heavily calcified coronary artery disease (CAD) and revascularized coronary arteries. Such vulnerable patients could benefit from a more precise assessment and characterization of their CAD with ultra-high resolution (UHR) photon-counting detector (PCD) CT that would potentially avoid the need for pre-implantation invasive coronary angiography (ICA). This international multicenter prospective registry study aims to investigate the feasibility and diagnostic accuracy of PCD-CT in the assessment of CAD in the high-risk population of patients undergoing TAVI, as compared to ICA.

Detailed Description

Not available

Recruitment & Eligibility

Status
RECRUITING
Sex
All
Target Recruitment
1000
Inclusion Criteria
  • Clinically indicated TAVI
  • Clinically indicated CT and invasive coronary angiography
  • There are no contraindications to CT angiography.
  • Understanding and signing the consent form
Exclusion Criteria
  • Pregnancy or breastfeeding
  • Chronic renal failure (eGFR <30 ml/m2)
  • Active oncological treatment
  • Any condition for which TAVI is contraindicated and therefore no prior radiological investigation of TAVI is indicated

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Diagnostic Accuracy of Ultra-High Resolution Photon-Counting Detector Coronary Computed Tomography Angiography (UHR PCD-CT CCTA)through study completion, an average of 2 years

Assessment of the diagnostic accuracy (sensitivity, specificity, PPV, NPV) of UHR PCD-CT coronary angiography as compared to invasive coronary angiography (ICA) within three months of PCD-CT

Secondary Outcome Measures
NameTimeMethod
Image Noise Analysis Across Reconstruction Parametersthrough study completion, an average of 2 years

Quantitative assessment of image noise (measured in HU) in CT images reconstructed with varying parameters, including reconstruction kernel type, quantum iterative reconstruction (QIR) levels, and slice thickness.

Correlation of Image Noise and Body Mass Indexthrough study completion, an average of 2 years

Correlation of image noise (measured in HU) and body mass index (kg/m2) across different image reconstruction parameters, including kernel type, quantum iterative reconstruction (QIR) level, and slice thickness.

Blooming Analysis Across Reconstruction Parametersthrough study completion, an average of 2 years

Quantitative assessment of blooming (percentage) in CT images reconstructed with varying parameters, including reconstruction kernel type, quantum iterative reconstruction (QIR) levels, and slice thickness.

Subjective Image Quality Analysisthrough study completion, an average of 2 years

Overall image quality, image noise and vessel sharpness assessed on a 4-point Likert scale (1 = non-diagnostic, 4 = excellent) by 2 blinded readers/site. Comparison of image quality between reconstructions with varying parameters, including reconstruction kernel type, quantum iterative reconstruction (QIR) levels, and slice thickness.

Correlation of Quantitative Coronary Artery Disease Assessmentthrough study completion, an average of 2 years

Correlation and agreement of percent diameter stenosis (PDS) measured on UHR PCD-CT dataset and quantitative coronary angiography (QCA).

Correlation of Quantitative In-Stent Restenosis Assessmentthrough study completion, an average of 2 years

Correlation and agreement of quantitative in-stent restenosis (ISR) measured on UHR PCD-CT dataset and quantitative coronary angiography (QCA).

Correlation of Fractional Flow Reserve Measurementthrough study completion, an average of 2 years

Correlation and agreement of CT-based fractional flow reserve (FFR-CT) measured on UHR PCD-CT dataset and invasive fractional flow reserve.

Quantitative Assessment of Plaque Compositionthrough study completion, an average of 2 years

Measure the volume of plaque components (in mm3) on UHR PCD-CT datasets across different image reconstruction parameters, including kernel type and quantum iterative reconstruction (QIR) level.

Correlation of Plaque Compositionthrough study completion, an average of 2 years

Correlation and agreement of plaque composition assessment from UHR PCD-CT dataset and intracoronary techniques such as optical coherence tomography (OCT) in patients who had both tests done.

Quantitative Assessment of Extracellular Volume Fractionthrough study completion, an average of 2 years

Quantitative analysis of the extracellular volume (ECV) fraction measured on PCD-CT dataset.

Analysis of Structured Coronary Artery Disease Reporting in UHR PCD-CTthrough study completion, an average of 2 years

Analysis of coronary artery disease classification according to the Coronary Artery Disease-Reporting and Data System (CAD-RADS 2.0).

Correlation of Quantitative UHR PCD-CT CCTA Parameters with Ischemia Imaging Teststhrough study completion, an average of 2 years

Correlation of quantitative UHR PCD-CT CCTA parameters with the results of additional imaging ischemia tests in patients who had both PCD-CT CCTA and one of the following tests done: stress echocardiography, stress single photon emission computed tomography (SPECT), stress positron emission tomography (PET), and stress magnetic resonance imaging (MRI).

Correlation of Quantitative UHR PCD-CT CCTA Parameters with Other Imaging Teststhrough study completion, an average of 2 years

Correlation of quantitative UHR PCD-CT CCTA parameters with the results of additional imaging tests in patients who had both PCD-CCTA and one of the following tests done: transthoracic echocardiography, transesophageal echocardiography, cardiac MRI.

Correlation Between PCAT Attenuation and CT-derieved or Clinical Parametersfrom inclusion up to a maximum follow-up period of 5 years

To assess the correlation between pericoronary adipose tissue (PCAT) attenuation (measured in HU on UHR PCD-CT CCTA data) and (1) anatomical severity of CAD (percent diameter stenosis), (2) functional severity of disease (FFR-CT), (3) plaque composition and (4) clinical outcome.

Correlation Between EAT Attenuation and CT-derieved or Clinical Parametersfrom inclusion up to a maximum follow-up period of 5 years

To assess the correlation between epicardial adipose tissue (EAT) attenuation (measured in HU on UHR PCD-CT CCTA data) and (1) anatomical severity of CAD (percent diameter stenosis), (2) functional severity of disease (FFR-CT), (3) plaque composition and (4) clinical outcome.

Lung Water Density Quantificationthrough study completion, an average of 2 years

Measurement of lung water density by virtual non-contrast CT and iodine mapping CT, compared to non-contrast CT.

Assessment of Whole Body Extracellular Volumethrough study completion, an average of 2 years

Assessment of whole body extracellular volume (ECV) in patients undergoing TAVI compared to healthy volunteer controls scanned in a separate study.

Major Adverse Cardiac Eventsfrom inclusion up to a maximum follow-up period of 5 years

Composite endpoint of major adverse cardiovascular event (MACE); defined as at least one of the following: cardiovascular death, nonfatal myocardial infarction, stroke.

Extended Major Adverse Cardiovascular Eventsfrom inclusion up to a maximum follow-up period of 5 years

Composite endpoint of major adverse cardiovascular event (MACE); defined as at least one of the following: cardiovascular death, nonfatal myocardial infarction, stroke, unstable angina, or heart failure admission

Prosthesis Function Evaluationfrom inclusion up to a maximum follow-up period of 5 years

Subjective analysis of prosthesis function using UHR and spectral PCD-CT data to detect pathologies e.g. hypoattenuating leaflet thickening (HALT).

Cost-effectivenessfrom inclusion up to a maximum follow-up period of 5 years

Costs of PCD-CT and complications compared with costs of ICA and complications.

Correlation of Image Noise and Heart Ratethrough study completion, an average of 2 years

Correlation of image noise (measured in HU) and heart rate (bpm) across different image reconstruction parameters, including kernel type, quantum iterative reconstruction (QIR) level, and slice thickness.

Contrast-to-Noise Ratio (CNR) Analysis Across Reconstruction Parametersthrough study completion, an average of 2 years

Quantitative assessment of contrast-to-noise ratio (unitless) in CT images reconstructed with varying parameters, including reconstruction kernel type, quantum iterative reconstruction (QIR) levels, and slice thickness.

Vessel Sharpness Analysis Across Reconstruction Parametersthrough study completion, an average of 2 years

Quantitative assessment of vessel sharpness (measured in 1/mm) in CT images reconstructed with varying parameters, including reconstruction kernel type, quantum iterative reconstruction (QIR) levels, and slice thickness.

Trial Locations

Locations (7)

Medical University of South Carolina

🇺🇸

Charleston, South Carolina, United States

Albert-Ludwigs-Universität Freiburg

🇩🇪

Freiburg, Germany

University Medical Center Mainz

🇩🇪

Mainz, Germany

Universitätsklinikum Tübingen

🇩🇪

Tübingen, Germany

Semmelweis University

🇭🇺

Budapest, Hungary

Maastricht University

🇳🇱

Maastricht, Netherlands

University Hospital of Zürich

🇨🇭

Zürich, Switzerland

Medical University of South Carolina
🇺🇸Charleston, South Carolina, United States
Akos Varga-Szemes, MD, PhD
Principal Investigator
U. Joseph Schoepf, MD
Principal Investigator

MedPath

Empowering clinical research with data-driven insights and AI-powered tools.

© 2025 MedPath, Inc. All rights reserved.