Xu Dai1, Lihua Yu1, Zhigang Lu2, Chengxing Shen2, Xinwei Tao3, Jiayin Zhang4. 1. Institute of Diagnostic and Interventional Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, #600, Yishan Rd, Shanghai, China. 2. Department of Cardiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, #600, Yishan Rd, Shanghai, China. 3. Siemens Healthineers, #278, Zhouzhugong Rd, Shanghai, China. 4. Institute of Diagnostic and Interventional Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, #600, Yishan Rd, Shanghai, China. Electronic address: andrewssmu@msn.com.
Abstract
BACKGROUND: Perivascular fat attenuation index (FAI) was thought to be an indicator of active vessel inflammation surrounding coronary plaques. However, whether this index can be reduced by statin treatment remains unknown. We aimed to investigate the serial change of lesion-specific perivascular FAI as quantified by coronary computed tomography (CCTA) after statin treatment. METHODS: Consecutive patients with chest pain and intermediate likelihood of coronary artery disease were referred for baseline CCTA. Patients were retrospectively included if they were treated medically and underwent follow-up CCTA at 1-year to 1.5-year interval. Lesion-specific perivascular FAI, as well as other plaque features, were measured at baseline and follow-up. RESULTS: One hundred and eight patients (mean age 67.7 ± 11.1, 76 males) were included. A significant reduction of the FAI value was found for non-calcified plaques and mixed plaques (-68.0 HU ± 8.5 HU Vs. -71.5 HU ± 8.1 HU, p < .001 and - 70.5 HU ± 8.9 HU Vs. -72.8 HU ± 9.0 HU, p = .014). However, this improvement was not observed for calcified plaques (-70.6 HU ± 9.7 HU Vs. -71.7 HU ± 9.9 HU, p = .258). For non-calcified and mixed plaques, the volumes of non-calcified as well as low attenuation component was significantly reduced whereas total plaque volume and volume of calcified component increased. For calcified plaque, total plaque volume also demonstrated remarkable increase after statin treatment CONCLUSIONS: Lesion-specific perivascular FAI decreased at mid-term follow-up after statin treatment for non-calcified and mixed plaques. Perivascular FAI can be a potential imaging biomarker to monitor the anti-inflammation response to statin treatments.
BACKGROUND: Perivascular fat attenuation index (FAI) was thought to be an indicator of active vessel inflammation surrounding coronary plaques. However, whether this index can be reduced by statin treatment remains unknown. We aimed to investigate the serial change of lesion-specific perivascular FAI as quantified by coronary computed tomography (CCTA) after statin treatment. METHODS: Consecutive patients with chest pain and intermediate likelihood of coronary artery disease were referred for baseline CCTA. Patients were retrospectively included if they were treated medically and underwent follow-up CCTA at 1-year to 1.5-year interval. Lesion-specific perivascular FAI, as well as other plaque features, were measured at baseline and follow-up. RESULTS: One hundred and eight patients (mean age 67.7 ± 11.1, 76 males) were included. A significant reduction of the FAI value was found for non-calcified plaques and mixed plaques (-68.0 HU ± 8.5 HU Vs. -71.5 HU ± 8.1 HU, p < .001 and - 70.5 HU ± 8.9 HU Vs. -72.8 HU ± 9.0 HU, p = .014). However, this improvement was not observed for calcified plaques (-70.6 HU ± 9.7 HU Vs. -71.7 HU ± 9.9 HU, p = .258). For non-calcified and mixed plaques, the volumes of non-calcified as well as low attenuation component was significantly reduced whereas total plaque volume and volume of calcified component increased. For calcified plaque, total plaque volume also demonstrated remarkable increase after statin treatment CONCLUSIONS: Lesion-specific perivascular FAI decreased at mid-term follow-up after statin treatment for non-calcified and mixed plaques. Perivascular FAI can be a potential imaging biomarker to monitor the anti-inflammation response to statin treatments.
Authors: Gianluca Pontone; Alexia Rossi; Marco Guglielmo; Marc R Dweck; Oliver Gaemperli; Koen Nieman; Francesca Pugliese; Pal Maurovich-Horvat; Alessia Gimelli; Bernard Cosyns; Stephan Achenbach Journal: Eur Heart J Cardiovasc Imaging Date: 2022-03-22 Impact factor: 9.130
Authors: Jeremy Yuvaraj; Kevin Cheng; Andrew Lin; Peter J Psaltis; Stephen J Nicholls; Dennis T L Wong Journal: Cells Date: 2021-05-13 Impact factor: 6.600