Why the study?
The study was conducted to assess differences in pericoronary adipose tissue across different plaque types using quantitative parameters and investigate their relationship.
Do quantitative parameters of pericoronary adipose tissue vary among different coronary plaque types in patients with stable CAD?
Do quantitative parameters of pericoronary adipose tissue vary among different coronary plaque types in patients with stable CAD?
Quantitative parameters of pericoronary adipose tissue vary significantly among different coronary plaque types, highlighting its potential utility as an imaging biosensor for coronary artery disease.
PCAT parameters may reflect plaque composition in stable CAD; hypothesis-generating and should not yet change practice.
Purpose: To assess differences in pericoronary adipose tissue (PCAT) in patients with different plaque types by using several quantitative parameters of PCAT and investigate the relationship between PCAT and different plaque types. Methods: We retrospectively recruited 488 patients diagnosed with stable coronary artery disease (CAD) via coronary computed tomographic angiography, including 279 with calcified plaques (CP), 153 with non-calcified plaques (NCP), and 56 with mixed plaques (MP). Volume, fat attenuation index (FAI), and 10 th percentile, 90 th percentile, median, and minimum Hounsfield unit (HU) values of PCAT surrounding plaques were quantified using semi-automated software. Clinical features and quantitative PCAT parameters were compared between different plaque types. Results: No between-group differences were observed for age, sex, body mass index, risk factors, and plaque location. Length and PCAT volume in the NCP group were lower than those of the CP and MP groups ( P < 0.001), whereas there were no significant differences between the CP and MP groups ( P > 0.05). Patients with NCP and MP had a higher FAI and 10 th percentile, 90 th percentile, median, and minimum HU values of PCAT than CP ( P < 0.001); however these values were not significantly different between the NCP and MP groups ( P > 0.05). Conclusion: The quantitative parameters of PCAT, as a biosensor for CAD, vary among the different plaque types.
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Jing et al. (2022) studied this question.
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