Peri-coronary inflammation is associated with findings on coronary computed tomography angiography and fractional

Masahiro Hoshino1, Seokhun Yang2, Tomoyo Sugiyama1

  • 1Division of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan.

Insights

The fat attenuation index (FAI) on coronary CT angiography correlates with plaque characteristics and cardiac mass in patients with intermediate coronary artery stenosis. This comprehensive assessment aids in risk stratification for cardiac events.

Area of Science:

  • Cardiovascular imaging
  • Radiology
  • Biomedical engineering

Background:

  • Peri-coronary adipose tissue attenuation, quantified by the fat attenuation index (FAI) on coronary CT angiography (CCTA), indicates inflammation and predicts cardiac mortality.
  • Understanding the relationship between FAI and detailed plaque characteristics is crucial for risk stratification.

Purpose of the Study:

  • To investigate the association between FAI and both whole vessel and lesion-specific plaque quantification on CCTA.
  • To evaluate FAI in stable patients with intermediate epicardial stenosis, using fractional flow reserve (FFR) as a reference standard.

Main Methods:

  • 187 left anterior descending arteries (LAD) with intermediate stenosis underwent FFR measurement and CCTA.
  • FAI was calculated from mean CT attenuation values of the LAD.
  • Multivariate analysis explored determinants of FAI and FFR, and assessed the impact of FAI and plaque characteristics on ischemia discrimination.

Main Results:

  • Mean FAI was -73.0, with a median FFR of 0.77.
  • Male sex, positive remodeling, lower minimum lumen area, higher cardiac mass, and lower FFR independently predicted higher FAI.
  • FAI and CCTA-derived plaque quantification were independently associated with FFR values.
  • FAI improved risk reclassification for lesions with FFR <0.75.

Conclusions:

  • FAI is associated with FFR, detailed plaque quantification, and cardiac mass in intermediate LAD lesions.
  • Comprehensive CCTA assessment, including FAI, offers potential for improved cardiovascular risk stratification.
Abstract

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