Epicardial Adipose Tissue Volume and Coronary Artery Calcium to Predict Myocardial Ischemia on Positron Emission Tomography-Computed Tomography Studies

Janik, Matthew; Hartlage, Gregory; Alexopoulos, Nikolaos; Mirzoyev, Zaur; McLean, Dalton; Arepalli, Chesnal; Stillman, Arthur E.; Raggi, Paolo

doi:10.1016/s0735-1097(10)60662-6

Cited by 3 publications

(4 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Its design was thought to test the independence of EAT and CAC from AVF. Our results are in line with previous publications which found a higher atherosclerotic burden in patients with higher volume of EAT . Being so, an increased EAT volume, along with systemic inflammation and increased CVRF might be another cause implicated in CVD in psoriasis.…”

Section: Discussionsupporting

confidence: 93%

“…Its close relation to the coronary tree has been suggested to be potentially relevant for the development of coronary artery disease (CAD), by endocrine mechanisms, but particularly by local inflammation and paracrine mechanisms, as EAT has been shown to produce and secrete, several proatherogenic and proinflammatory hormones and cytokines, including TNFα, IL‐6, adipocytokines and leptin . EAT has been independently associated with CAD and in the Multi‐Ethnic Study of Atherosclerosis (MESA) it has been shown to be predictive of incident cardiovascular events independently of conventional risk factors and body mass index (BMI) . There are various imaging modalities for measuring EAT, like magnetic resonance imaging (MRI), computed tomography (CT) and echocardiography, although MRI and CT are considered currently gold standard and additionally permit measuring abdominal visceral fat (AVF)…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Epicardial adipose tissue and coronary artery calcification in psoriasis patients

Torres

Bettencourt²,

Mendonça

et al. 2014

Acad Dermatol Venereol

View full text Add to dashboard Cite

show abstract

Section: Discussionsupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Epicardial adipose tissue and coronary artery calcification in psoriasis patients

Torres

Bettencourt²,

Mendonça

et al. 2014

Acad Dermatol Venereol

View full text Add to dashboard Cite

show abstract

“…In a recent study, Mahabadi et al (38) showed that there is a strong independent association between the local pericardial (pericoronary) fat that immediately surrounds the coronary arteries and the presence of both noncalcified and calcified coronary artery plaques. More recently Janik et al (39) showed—in a small cohort of 45 patients—that epicardial fat is associated with ischemia by positron emission tomography and may be a better predictor of ischemia than CCS. The association between increased pericardial fat and ischemia seen in our study may be related to the paracrine effect exerted by pericardial and pericoronary artery fat on coronary atherosclerosis as postulated by Mahabadi et al (38).…”

Section: Discussionmentioning

confidence: 99%

Increased Pericardial Fat Volume Measured From Noncontrast CT Predicts Myocardial Ischemia by SPECT

Tamarappoo

Dey

Shmilovich

et al. 2010

JACC: Cardiovascular Imaging

132

View full text Add to dashboard Cite

OBJECTIVES We evaluated the association between pericardial fat and myocardial ischemia for risk stratification. BACK GROUND Pericardial fat volume (PFV) and thoracic fat volume (TFV) measured from noncontrast computed tomography (CT) performed for calculating coronary calcium score (CCS) are associated with increased CCS and risk for major adverse cardiovascular events. METHODS From a cohort of 1,777 consecutive patients without previously known coronary artery disease (CAD) with noncontrast CT performed within 6 months of single photon emission computed tomography (SPECT), we compared 73 patients with ischemia by SPECT (cases) with 146 patients with normal SPECT (controls) matched by age, gender, CCS category, and symptoms and risk factors for CAD. TFV was automatically measured. Pericardial contours were manually defined within which fat voxels were automatically identified to compute PFV. Computer-assisted visual interpretation of SPECT was performed using standard 17-segment and 5-point score model; perfusion defect was quantified as summed stress score (SSS) and summed rest score (SRS). Ischemia was defined by: SSS – SRS ≥4. Independent relationships of PFV and TFV to ischemia were examined. RESULTS Cases had higher mean PFV (99.1 ± 42.9 cm3 vs. 80.1 ± 31.8 cm3, p = 0.0003) and TFV (196.1 ± 82.7 cm3 vs. 160.8 ± 72.1 cm3, p = 0.001) and higher frequencies of PFV >125 cm3 (22% vs. 8%, p = 0.004) and TFV >200 cm3 (40% vs. 19%, p = 0.001) than controls. After adjustment for CCS, PFV and TFV remained the strongest predictors of ischemia (odds ratio [OR]: 2.91, 95% confidence interval [CI]: 1.53 to 5.52, p = 0.001 for each doubling of PFV; OR: 2.64, 95% CI: 1.48 to 4.72, p = 0.001 for TFV. Receiver operating characteristic analysis showed that prediction of ischemia, as indicated by receiver-operator characteristic area under the curve, improved significantly when PFV or TFV was added to CCS (0.75 vs. 0.68, p = 0.04 for both). CONCLUSIONS Pericardial fat was significantly associated with myocardial ischemia in patients without known CAD and may help improve risk assessment.

show abstract

“…Other types of imaging studies have been undertaken, such as CT (Sarin et al, ; den Dekker et al, ; Harada et al, ; Hung et al, ; Kitagawa et al, ), PET‐CT (Janik et al, ; Bakkum et al, ), MRI (Kim et al, ; Gaborit et al, ; Hua et al, ) and fluoro‐deoxyglucose PET (Kaushik et al, ; Mazurek et al, ). The principal advantage of all these methods is that they are non‐invasive, and there is generally much better resolution than in echocardiographic studies.…”

Section: Approaches To Studying Eatmentioning

confidence: 99%

Investigating interactions between epicardial adipose tissue and cardiac myocytes: what can we learn from different approaches?

Rietdorf

MacQueen

2017

British J Pharmacology

View full text Add to dashboard Cite

Heart disease is a major cause of morbidity and mortality throughout the world. Some cardiovascular conditions can be modulated by lifestyle factors such as increased exercise or a healthier diet, but many require surgical or pharmacological interventions for their management. More targeted and less invasive therapies would be beneficial. Recently it has become apparent that epicardial adipose tissue plays an important role in normal and pathological cardiac function, and it is now the focus of considerable research. Epicardial adipose tissue can be studied by imaging of various kinds, and these approaches have yielded much useful information. However at a molecular level it is more difficult to study as it is relatively scarce in animal models and, for practical and ethical reasons, not always available in sufficient quantities from patients. What is needed is a robust model system in which the interactions between epicardial adipocytes and cardiac myocytes can be studied, and physiologically relevant manipulations performed. There are drawbacks to conventional culture methods, not least the difficulty of culturing both cardiac myocytes and adipocytes, each of which has special requirements. We discuss the benefits of a three-dimensional coculture model in which in vivo interactions can be replicated. EAT and cardiac myocytesThis article is protected by copyright. All rights reserved.

show abstract

Epicardial Adipose Tissue Volume and Coronary Artery Calcium to Predict Myocardial Ischemia on Positron Emission Tomography-Computed Tomography Studies

Cited by 3 publications

References 24 publications

Epicardial adipose tissue and coronary artery calcification in psoriasis patients

Epicardial adipose tissue and coronary artery calcification in psoriasis patients

Increased Pericardial Fat Volume Measured From Noncontrast CT Predicts Myocardial Ischemia by SPECT

Investigating interactions between epicardial adipose tissue and cardiac myocytes: what can we learn from different approaches?

Contact Info

Product

Resources

About