The value of cardiac CT based inflammatory risk assessment in predicting cardiovascular events: a case report

Michail C Mavrogiannis1, Nerea Sanfeliu Garces2,3, Lucas Costa2,3

  • 1Cardiovascular Medicine Division, Radcliffe Department of Medicine, University of Oxford, Oxford, UK. michail.mavrogiannis@wolfson.ox.ac.uk.

PubMed

Insights

Coronary inflammation measured by the fat attenuation index (FAI) Score and an AI-Risk algorithm may predict cardiac events. This case highlights how these tools could improve patient management, especially when obstructive coronary artery disease (CAD) is absent.

Area of Science:

  • Cardiology
  • Radiology
  • Preventive Medicine

Background:

  • Vascular inflammation is key in coronary artery disease (CAD) development.
  • Coronary computed tomography angiography (CCTA) can measure coronary inflammation via the perivascular fat attenuation index (FAI) Score.
  • An AI-Risk algorithm integrates FAI Score with clinical factors and plaque burden for cardiac event risk prediction.

Purpose of the Study:

  • To illustrate the potential of FAI Score and AI-Risk algorithm in identifying residual inflammatory risk.
  • To demonstrate how these advanced imaging biomarkers could guide preventive cardiology strategies.

Main Methods:

  • A case report of a 69-year-old male with angina and prior coronary artery bypass grafting (CABG).
  • Initial CCTA evaluation showed graft patency and non-obstructive stenosis in the non-grafted right coronary artery (RCA).
  • Retrospective perivascular FAI measurement of the RCA was performed after the patient experienced a myocardial infarction (NSTEMI) and subsequent heart failure.

Main Results:

  • The patient developed NSTEMI and heart failure despite optimal medical therapy.
  • Retrospective FAI measurement revealed significantly elevated residual inflammatory risk in the non-grafted RCA.
  • The AI-Risk algorithm could have potentially provided prognostic information beyond standard risk stratification.

Conclusions:

  • Perivascular FAI Score and AI-Risk algorithm may offer prognostic information beyond current CAD risk stratification methods.
  • These tools could enhance preventive cardiology strategies, particularly in cases without obstructive CAD.
  • Timely capture of inflammatory burden using these technologies could have adjusted the patient's management plan.
Abstract

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