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Not yet recruiting NCT07544277

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

— Observational FFR-CT CT Angiography CT Perfusion Coronary Arterial Disease (CAD)

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
This is an observational study: the protocol does not assign a study treatment.
Who it may be relevant to
Registry conditions: FFR-CT, CT Angiography, CT Perfusion, Coronary Arterial Disease (CAD). Basic parameters: from 18 years · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
Italy
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →

Unsure about the terms? Read our patient guide →

Overview

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.

Primary outcome measures

  • Diagnostic accuracy of CCTA, CCTA plus FFR-CT, and CCTA plus spectral stress CT perfusion in the detection of hemodynamically relevant coronary stenosis [Time frame: 36 months]
  • Evaluation of rest spectral CT perfusion for the assessment of haemodynamic significance of stenosis [Time frame: 36 months]
  • Identification of geometric features from PCD-CT ultra high resolution CCTA associated to plaque-specific ischemia at invasive FFR. [Time frame: 36 months]

Eligibility criteria

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.

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: No

Study design

Observational model
Cohort

Study locations

Italy · 2 centers
  • Azienda Ospedaliero-Universitaria Sant'Andrea — Roma
  • IRCCS Ospedale San Raffaele — Milan

Publications

  • Correction to: 2024 ESC Guidelines for the management of chronic coronary syndromes: Developed by the task force for the management of chronic coronary syndromes of the European Society of Cardiology (ESC) Endorsed by the European Association for Cardio-Thoracic Surgery (EACTS). Eur Heart J. 2025 Apr 22;46(16):1565. doi: 10.1093/eurheartj/ehaf079. No abstract available. PMID 39982387
  • De Santis D, Del Gaudio A, Santangeli C, Fanelli F, Pacelli F, Capece Minutolo Del Sasso L, Zerunian M, Polici M, Polidori T, Pucciarelli F, Marin D, Laghi A, Caruso D. Every Drop (Photon) Counts: Current Applications and Future Challenges of Photon-Counting Detector CT in Abdominal Imaging. Invest Radiol. 2025 Oct 1;60(10):647-657. doi: 10.1097/RLI.0000000000001178. PMID 40138651
  • Caruso D, Eid M, Schoepf UJ, Jin KN, Varga-Szemes A, Tesche C, Mangold S, Spandorfer A, Laghi A, De Cecco CN. Dynamic CT myocardial perfusion imaging. Eur J Radiol. 2016 Oct;85(10):1893-1899. doi: 10.1016/j.ejrad.2016.07.017. Epub 2016 Aug 3. PMID 27510361
  • Caruso D, DE Santis D, Schoepf UJ, Zerunian M, Eid M, Varga-Szemes A, Tesche C, Duguay TM, Laghi A, DE Cecco CN. CT myocardial perfusion: state of the science. Minerva Cardioangiol. 2017 Jun;65(3):252-264. doi: 10.23736/S0026-4725.16.04281-X. Epub 2016 Dec 13. PMID 27958693
  • Ghizzoni G, Ancona MB, Romano V, Bellini B, Ferri L, Russo F, Vella C, Gentile D, Chionchio G, Macelletti V, Ancona F, Agricola E, Palmisano A, Esposito A, Montorfano M. Mind the "commissural drop" when crossing the aortic valve! Catheter Cardiovasc Interv. 2023 Sep;102(3):538-541. doi: 10.1002/ccd.30763. Epub 2023 Jul 18. No abstract available. PMID 37464968
  • Bellini B, Romano V, Zanda G, Iannopollo G, De Ferrari T, Bijlsma E, Napoli F, Vella C, Gentile D, Ghizzoni G, Ferri LA, Russo F, Ancona MB, Ancona F, Agricola E, Palmisano A, Esposito A, Montorfano M. Clinical Outcomes of Patients With Bicuspid Aortic Valve Undergoing a Targeted Transcatheter Aortic Valve Replacement Approach: The LIRA Method. Can J Cardiol. 2025 May;41(5):831-839. doi: 10.1016/j PMID 39667491
  • Ferri LA, Ancona MB, Papageorgiou C, Vella C, Capuano S, Romano V, Russo F, Bellini B, Zanda G, Gentile D, Ghizzoni G, Napoli F, Federico F, Agricola E, Palmisano A, Esposito A, Montorfano M. Computed tomography derived predictors of left ventricular obstruction after TAVR. Int J Cardiol. 2025 Mar 1;422:132956. doi: 10.1016/j.ijcard.2024.132956. Epub 2025 Jan 5. PMID 39765320
  • Palmisano A, Vignale D, Boccia E, Nonis A, Gnasso C, Leone R, Montagna M, Nicoletti V, Bianchi AG, Brusamolino S, Dorizza A, Moraschini M, Veettil R, Cereda A, Toselli M, Giannini F, Loffi M, Patelli G, Monello A, Iannopollo G, Ippolito D, Mancini EM, Pontone G, Vignali L, Scarnecchia E, Iannacone M, Baffoni L, Sperandio M, de Carlini CC, Sironi S, Rapezzi C, Antiga L, Jagher V, Di Serio C, Furlan PMID 36038790

Identifiers

NCT: NCT07544277 · GR-2024-12380180

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗