Background: Coronary inflammation causes significantly increased risk of cardiovascular disease (CVD) in diabetic patients. This study investigated the relationship between coronary local inflammation, detected by pericoronary fat attenuation index (FAI), and different blood glucose control levels in low-risk acute coronary syndrome (ACS) patients with or without diabetes.
Methods: A total of 309 patients with low-risk ACS were classified into three groups: non-diabetes, well-regulated diabetes, and poorly regulated diabetes. Pericoronary FAI around the proximal or left anterior descending artery (LAD), left circumflex artery (LCX), and right coronary artery (RCA), were evaluated by coronary computed tomography angiography (CCTA), and systemic inflammatory variables and other biochemical indicators were detected by flow cytometry.
Results: Pericoronary FAI values around the proximal LAD, LCX, and RCA in poorly regulated diabetes were significantly higher than those in well-regulated diabetes and non-diabetes, whereas those in well-regulated diabetes were not statistically different from those in non-diabetes. Further, plasma glycated hemoglobin (HbA1c) level was positively correlated with the pericoronary FAI values in LAD, LCX, and RCA. However, no significantly increased systemic inflammatory mediators were found in diabetic patients with poor glycemic control.
Conclusions: Diabetic patients with poor glycemic control may have higher coronary local inflammation as detected by pericoronary FAI surrounding the three major coronary arteries.
Clinical Trial Registration: NCT05590858.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11266463 | PMC |
http://dx.doi.org/10.31083/j.rcm2407203 | DOI Listing |
Clin Radiol
December 2024
Department of Imaging Sciences and Interventional Radiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, 695011, Kerala, India. Electronic address:
Aim: Evaluation of pericoronary adipose tissue changes induced by inflammation by non-invasive techniques is challenging.
Purpose: To find the association between pericoronary adipose tissue attenuation (FAI) changes and future acute coronary events in nonobstructive coronary artery disease.
Materials And Methods: Ours was a single-centre, prospective observational study on patients with atypical chest pain who underwent coronary computed tomography angiography (CCTA).
Eur Radiol
January 2025
Department of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan.
Objectives: There is limited evidence of the pericoronary fat attenuation index (FAI) as an imaging marker to assess cancer therapy-related cardiovascular toxicity. We aimed to measure FAI in four consecutive coronary CT angiography (CTA) scans before and 3, 6, and 12 months after anthracycline treatment in patients with breast cancer to determine trends in dynamic changes in FAI after treatment.
Methods: We performed a post hoc analysis of a prospective study (between August 2019 and July 2020) in which anthracycline-induced myocardial injury was evaluated using cardiac CT.
Front Cardiovasc Med
December 2024
Cardiovascular Medicine Department, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
Objective: To explore whether radiomics analysis of pericoronary adipose tissue (PCAT) captured by coronary computed tomography angiography (CCTA) could discriminate unstable angina (UA) from stable angina (SA).
Methods: In this single-center retrospective case-control study, coronary CT images and clinical data from 240 angina patients were collected and analyzed. Patients with unstable angina ( = 120) were well-matched with those having stable angina ( = 120).
Quant Imaging Med Surg
December 2024
Department of Radiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Background: Radiofrequency catheter ablation (RFCA) represents an important treatment option for atrial fibrillation (AF); however, the recurrence rate following surgery is relatively high. This study aimed to predict the recurrence of AF after RFCA using interpretable machine learning models that combined the triglyceride-glucose (TyG) index and the quantification of left atrial epicardial and pericoronary adipose tissue.
Methods: This retrospective study included 325 patients with AF who underwent their first successful RFCA, among whom 79 had confirmed recurrence.
Quant Imaging Med Surg
December 2024
Department of Radiology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, China.
Background: It is unclear whether the parameters derived from coronary computed tomography angiography (CCTA) can identify the impairments of coronary arteries and if they are associated with major adverse cardiovascular events (MACEs) in patients with thoracic malignancies receiving chemotherapy or chemoradiotherapy. This study aimed to investigate the longitudinal changes in coronary arteries using CCTA and to determine their association with MACEs in patients with thoracic malignancies receiving chemotherapy or chemoradiotherapy.
Methods: This cross-sectional study included consecutive patients with thoracic malignancies who received chemotherapy or chemoradiotherapy and who underwent CCTA between June 2013 and May 2019 at Chongqing University Cancer Hospital.
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