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Updated: Nov 30, 2025

In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography
Published on: February 16, 2016
Quantification of perivascular inflammation does not provide incremental prognostic value over myocardial perfusion
Susan Bengs1,2, Achi Haider1,2, Geoffrey I Warnock1,2
1Department of Nuclear Medicine, University Hospital Zurich, 8091, Zurich, Switzerland.
Insights
Perivascular fat attenuation index (FAI) in the right coronary artery did not predict cardiovascular events when accounting for other imaging. Sex significantly influenced FAI
Area of Science:
- Cardiovascular Imaging and Biomarkers
- Coronary Artery Disease
- Inflammation Assessment
Background:
- Perivascular fat attenuation index (FAI) is a novel coronary computed tomography angiography (CCTA)-based biomarker.
- FAI captures early coronary inflammation and predicts cardiovascular outcomes.
- The incremental prognostic value of FAI beyond myocardial perfusion imaging (MPI) and coronary artery calcium scoring (CACS) is unknown.
Purpose of the Study:
- To determine if FAI provides prognostic value beyond CCTA, single-photon emission computed tomography myocardial perfusion imaging (SPECT-MPI), and CACS.
- To investigate the association between FAI and major adverse cardiovascular events (MACE).
Main Methods:
- 492 patients underwent CCTA and SPECT-MPI.
- FAI was measured around the right coronary artery (FAI[RCA]), left anterior descending artery (FAI[LAD]), and left main coronary artery (FAI[LMCA]).
- Major adverse cardiovascular events (MACE) were tracked for 314 patients over a median of 2.7 years.
Main Results:
- Higher FAI[RCA] was associated with increased MACE (p = 0.049), but FAI[LAD] and FAI[LMCA] were not.
- Multivariate analysis identified FAI[RCA] as an independent predictor of MACE (HR 2.733, p = 0.015).
- This association was lost after including CACS, but a significant interaction with sex was observed (HR 2.119, p = 0.008).
Conclusions:
- FAI does not offer incremental prognostic value beyond established multimodality imaging including CACS.
- The prognostic utility of FAI[RCA] is significantly influenced by patient sex.
- Further research is needed to clarify the role of FAI in cardiovascular risk stratification.
Aims:
Perivascular fat attenuation index (FAI) has emerged as a novel coronary computed tomography angiography (CCTA)-based biomarker predicting cardiovascular outcomes by capturing early coronary inflammation. It is currently unknown whether FAI adds prognostic value beyond that provided by single-photon emission computed tomography myocardial perfusion imaging (SPECT-MPI) and CCTA findings including coronary artery calcium scoring (CACS).
Methods And Results:
A total of 492 patients (mean age 62.5 ± 10.8 years) underwent clinically indicated multimodality CCTA and electrocardiography (ECG)-gated 99mTc-tetrofosmin SPECT-MPI between May 2005 and December 2008 at our institution, and follow-up data on major adverse cardiovascular events (MACE) was obtained for 314 patients. FAI was obtained from CCTA images and was measured around the right coronary artery (FAI[RCA]), the left anterior descending artery (FAI[LAD]), and the left main coronary artery (FAI[LMCA]). During a median follow-up of 2.7 years, FAI[RCA] > - 70.1 was associated with an increased rate of MACE (log rank p = 0.049), while no such association was seen for FAI[LAD] or FAI[LMCA] (p = NS). A multivariate Cox regression model accounting for cardiovascular risk factors, CCTA and SPECT-MPI findings identified FAI[RCA] as an independent predictor of MACE (HR 2.733, 95% CI: 1.220-6.123, p = 0.015). However, FAI[RCA] was no longer a significant predictor of MACE after adding CACS (p = 0.279). A first-order interaction term consisting of sex and FAI[RCA] was significant in both models (HR 2.119, 95% CI: 1.218-3.686, p = 0.008; and HR 2.071, 95% CI: 1.111-3.861, p = 0.022).
Conclusion:
FAI does not add incremental prognostic value beyond multimodality MPI/CCTA findings including CACS. The diagnostic value of FAI[RCA] is significantly biased by sex.
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