Quantitative Plaque Characteristics/Pericoronary Fat Attenuation Index and Acute Coronary Syndrome in Patients With Stable Angina Pectoris DOI
Defu Li, Yujin Wang, Tina Zhu

et al.

Journal of Computer Assisted Tomography, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 27, 2025

Objective: Vascular inflammation affects acute coronary syndrome (ACS) occurrence in patients with stable angina. Coronary can be represented by the pericoronary fat attenuation index (FAI). This study investigated quantitative prognostic value of plaque characteristics and FAI Methods: Risk factors for ACS angina pectoris were retrospectively analyzed. The diagnostic these determined; Kaplan-Meier curves used to predict event incidence. Results: After postpropensity score matching, data 60 130 without ACS, respectively, Pericoronary FAI, lipid volume, percentage narrowest segment significantly improved diagnosis Luminal stenosis ≥50% >−88 Hounsfield units (HU) independent risk Perileft anterior descending artery (LAD) HU better predicted than did peri-LAD ≤−88 HU. Conclusions: In angina, volume ability luminal occurrence. Furthermore, could

Language: Английский

Prediction of plaque progression using different machine learning models of pericoronary adipose tissue radiomics based on coronary computed tomography angiography DOI
Jingjing Pan, Qing Huang, Jianping Zhu

et al.

European Journal of Radiology Open, Journal Year: 2025, Volume and Issue: 14, P. 100638 - 100638

Published: Feb. 15, 2025

Language: Английский

Citations

0

Increased CT Attenuation of Pericolic Adipose Tissue as a Noninvasive Marker of Disease Severity in Ulcerative Colitis DOI
Jun Lu, Hui Xu,

Jing Zheng

et al.

Korean Journal of Radiology, Journal Year: 2025, Volume and Issue: 26(5), P. 411 - 411

Published: Jan. 1, 2025

Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value the pericolic fat attenuation index (FAI) on CT as an indicator disease remains unknown. This study aimed to assess diagnostic accuracy FAI predicting UC severity. retrospective enrolled 148 patients (mean age 48 years; 87 males). was measured four different locations: mesocolic vascular side (MS) and opposite MS (OMS) around most severe bowel lesion, retroperitoneal space (RS), subcutaneous area. indices (FAIMS, FAIOMS, FAIRS) were calculated MS, OMS, RS, respectively, minus that area, obtained non-enhanced, arterial, delayed phases. Correlations between Endoscopic Index Severity (UCEIS) assessed using Spearman's correlation. Predictors (UCEIS ≥7) selected by univariable analysis. performance evaluated area under receiver operating characteristic curve (AUC). FAIMS FAIOMS scores significantly higher than FAIRS three phases (all P < 0.001). moderately correlated with UCEIS score (r = 0.474-0.649 among phases). Additionally, identified UC, AUC varying from 0.77 0.85. Increased adipose tissue could serve a noninvasive marker for evaluating showed similar prediction accuracies identification.

Language: Английский

Citations

0

CT-derived epicardial adipose tissue density: Systematic review and meta-analysis DOI
Caterina Beatrice Monti, Davide Capra, Moreno Zanardo

et al.

European Journal of Radiology, Journal Year: 2021, Volume and Issue: 143, P. 109902 - 109902

Published: Aug. 13, 2021

Language: Английский

Citations

26

Pericoronary adipose tissue CT attenuation in coronary artery plaque inflammation DOI

Xinming Yu,

Simona Botezatu, Evangelos Tzolos

et al.

Heart, Journal Year: 2023, Volume and Issue: 109(6), P. 485 - 493

Published: Jan. 10, 2023

Language: Английский

Citations

10

Quantitative Plaque Characteristics/Pericoronary Fat Attenuation Index and Acute Coronary Syndrome in Patients With Stable Angina Pectoris DOI
Defu Li, Yujin Wang, Tina Zhu

et al.

Journal of Computer Assisted Tomography, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 27, 2025

Objective: Vascular inflammation affects acute coronary syndrome (ACS) occurrence in patients with stable angina. Coronary can be represented by the pericoronary fat attenuation index (FAI). This study investigated quantitative prognostic value of plaque characteristics and FAI Methods: Risk factors for ACS angina pectoris were retrospectively analyzed. The diagnostic these determined; Kaplan-Meier curves used to predict event incidence. Results: After postpropensity score matching, data 60 130 without ACS, respectively, Pericoronary FAI, lipid volume, percentage narrowest segment significantly improved diagnosis Luminal stenosis ≥50% >−88 Hounsfield units (HU) independent risk Perileft anterior descending artery (LAD) HU better predicted than did peri-LAD ≤−88 HU. Conclusions: In angina, volume ability luminal occurrence. Furthermore, could

Language: Английский

Citations

0