Lesion-Specific Peri-Coronary Fat Attenuation Index Is Associated With Functional Myocardial Ischemia Defined by

Shaowei Ma1,2, Xujiao Chen1, Yue Ma1

  • 1Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.

Insights

The fat attenuation index (FAI) of lesion-specific peri-coronary adipose tissue (PCAT) independently predicts functional ischemia, improving coronary computed tomography angiography (CTA) diagnostic accuracy when combined with stenosis severity.

Area of Science:

  • Cardiology
  • Radiology
  • Medical Imaging

Background:

  • The relationship between invasive fractional flow reserve (FFR) and peri-coronary adipose tissue (PCAT) fat attenuation index (FAI) is not well understood.
  • PCAT characteristics may offer insights into coronary artery disease (CAD) pathophysiology.

Purpose of the Study:

  • To investigate the association between lesion-specific PCAT FAI and FFR values in patients with suspected or known CAD.
  • To evaluate the diagnostic performance of FAI in predicting functionally significant coronary artery stenosis.

Main Methods:

  • Retrospective analysis of 227 patients undergoing coronary computed tomography angiography (CTA) and invasive coronary angiography (ICA) with FFR measurement.
  • Calculation of lesion-specific FAI (FAIlesion), lesion-free FAI (FAInormal), and epicardial adipose tissue (EAT) parameters.
  • Logistic regression and receiver operating characteristic (ROC) curve analysis to assess associations with FFR <0.8.

Main Results:

  • FAIlesion was significantly higher in lesions with FFR <0.8 (indicating functional ischemia) compared to those without.
  • Neither EAT volume/attenuation nor FAInormal differentiated between patients with or without abnormal FFR.
  • Both CTA-assessed stenosis severity and FAIlesion independently predicted functional ischemia.

Conclusions:

  • Lesion-specific FAI, not general EAT parameters, is independently associated with abnormal FFR.
  • Combining FAIlesion with CTA-assessed stenosis severity enhances diagnostic performance for detecting functional ischemia, approaching the accuracy of ICA.

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