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Spectral and Ultra High Resolution CT Systems for Non-Invasive Detection of Myocardial Ischemia: Stress CT Perfusion VS. FFR-CT

Spectral and Ultra High Resolution CT Systems for Non-Invasive Detection of Myocardial Ischemia: Stress CT Perfusion VS. FFR-CT

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07544277
Acronym
SURE-CT
Enrollment
142
Registered
2026-04-22
Start date
2026-09-01
Completion date
2029-09-01
Last updated
2026-04-22

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

Conditions

Coronary Arterial Disease (CAD), CT Angiography, CT Perfusion, FFR-CT

Keywords

FFR-CT, Coronary CT angiography, CT Perfusion, Coronary Arterial Disease (CAD)

Brief summary

Coronary artery disease (CAD) is the leading cause of mortality and morbidity worldwide. Coronary Computed Tomography angiography (CCTA) gained a pivotal clinical role for excellent sensitivity in rule-out CAD, but has limited specificity for a tendency to overestimate stenoses and for the lack of information about their hemodynamic impact. Fractional Flow Reserve derived from CT (FFR-CT) and stress CT perfusion (CTP) have been recently proposed to complement CCTA in the non-invasive assessment of myocardial ischemia, increasing the specificity and avoiding unnecessary catheterization. However, on energy-integrating (EID)-CT, FFR-CT has suboptimal performance, while CTP is affected by high radiation exposure. Both these approaches may benefit by the introduction of the new Photon Counting Detector (PCD)-CT technology, but data completely lacks. Aim of the study is to assess the performance of PCD-CT in the identification of significant CAD combining CCTA with FFR-CT and spectral CTP.

Interventions

None listed

Sponsors

IRCCS San Raffaele
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

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

Inclusion criteria

* Patient referred to our hospitals for elective CCTA for ruling out CAD * CCTA evidence of moderate stenosis (50-69%) requiring functional assessment according to ESC guidelines

Exclusion criteria

* hemodynamically unstable conditions, * previous revascularization, * myocardial infarction, * obesity (BMI\>40 kg/m2), * renal insufficiency (GFR\<30 mL/min), * atrial fibrillation or other significant arrhythmias; and * other overt cardiovascular diseases affecting CTP performance (e.g., heart failure, severe valvular regurgitation), * pregnancy and breastfeeding, * contraindications to iodinated contrast agents or regadenoson.

Design outcomes

Primary

MeasureTime frameDescription
Diagnostic accuracy of CCTA, CCTA plus FFR-CT, and CCTA plus spectral stress CT perfusion in the detection of hemodynamically relevant coronary stenosis36 monthsCCTA-derived stenosis and plaque characterization; CT-FFR values from commercial and in-house solutions; CTP-derived iodine uptake measurement; invasive FFR as reference standard. Comparison of off-site versus on-site CT-FFR solutions determined against invasive FFR.
Evaluation of rest spectral CT perfusion for the assessment of haemodynamic significance of stenosis36 monthsCoronary stenosis severity at CCTA; myocardial iodine uptake at baseline, rest, and stress CTP; diagnostic performance of iodine uptake values against invasive FFR.
Identification of geometric features from PCD-CT ultra high resolution CCTA associated to plaque-specific ischemia at invasive FFR.36 monthsBlinded analysis of baseline CCTA for qualitative and quantitative plaque characteristics, with correlation to invasive FFR. Inter-rater agreement assessment between two expert readers. Deep learning-based radiomic feature extraction from plaques and vessel walls. Development of a data-driven feature selection pipeline to predict hemodynamically significant stenosis from CCTA data, using invasive FFR as reference.

Countries

Italy

Contacts

CONTACTAnna Palmisano, Medicine and Surgery
palmisano.anna@hsr.it+39 3200985665
CONTACTDavide Vignale, Medicine and Surgery
vignale.davide@hsr.it+39 3480521191

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Apr 23, 2026