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Cited by in CrossRef
For: Saad Z, El-Rawy M, Donkol RH, Boghattas S. Quantification of epicardial fat: Which method can predict significant coronary artery disease? World J Cardiol 2015; 7(5): 287-292 [PMID: 26015859 DOI: 10.4330/wjc.v7.i5.287]
URL: https://www.wjgnet.com/1949-8462/full/v7/i5/287.htm
Number Citing Articles
1
F. El-Merhi, D. Ghieh, H. Taleb, A. Abchee, L. Karout, C. Saade. Quantification of epi- and pericardial adipose tissue deposits between males and females during cardiac CT may potentially help categorize coronary artery disease risk with thoracic circumferenceRadiography 2021; 27(3): 883 doi: 10.1016/j.radi.2021.02.008
2
Maryam Nabati, Alireza Salehi, Ghazal Hatami, Mozhdeh Dabirian, Jamshid Yazdani, Homa Parsaee. Epicardial adipose tissue and its association with cardiovascular risk factors and mitral annular calcium depositsUltrasound 2019; 27(4): 217 doi: 10.1177/1742271X19846159
3
Emilie H. Zobel, Regitse Højgaard Christensen, Signe A. Winther, Philip Hasbak, Christian Stevns Hansen, Bernt J. von Scholten, Lene Holmvang, Andreas Kjaer, Peter Rossing, Tine W. Hansen. Relation of cardiac adipose tissue to coronary calcification and myocardial microvascular function in type 1 and type 2 diabetesCardiovascular Diabetology 2020; 19(1) doi: 10.1186/s12933-020-0995-x
4
Kyu-Chong Lee, Hwan Seok Yong, Jaewook Lee, Eun-young Kang, Jin Oh Na. Is the epicardial adipose tissue area on non-ECG gated low-dose chest CT useful for predicting coronary atherosclerosis in an asymptomatic population considered for lung cancer screening?European Radiology 2019; 29(2): 932 doi: 10.1007/s00330-018-5562-4
5
Marta Merelo-Nicolás, Luciano Consuegra-Sánchez, Eduardo Pinar-Bermúdez, Samantha Wasniewski, Rafael A. León-Allocca, Pablo Ramos-Ruiz, José Abellán-Huerta, José C. López-Clemente, Juan A. Castillo-Moreno, Federico Soria-Arcos. Relationship of epicardial adipose tissue with coronary artery disease, cardiovascular risk factors and patient outcomesREC: CardioClinics 2022; 57(3): 165 doi: 10.1016/j.rccl.2021.12.003
6
Rishabh Khurana, Anurag Yadav, T.B.S. Buxi, J.P.S. Sawhney, Kishan Singh Rawat, Samarjit S. Ghuman. Correlation of epicardial fat quantification with severity of coronary artery disease: A study in Indian populationIndian Heart Journal 2018; 70: S140 doi: 10.1016/j.ihj.2018.08.009
7
Natalie Ella Miller, Andrew Steptoe. Pericardial Fat, Socioeconomic Status, and Biological Responses to Acute Mental StressPsychosomatic Medicine 2023; 85(3): 280 doi: 10.1097/PSY.0000000000001169
8
A. Kammar-García, M. Elena Hernández-Hernández, P. López-Moreno, A. María Ortíz-Bueno, M. de Lurdez Martínez-Montaño. Relation of body composition indexes to cardiovascular disease risk factors in young adultsMedicina de Familia. SEMERGEN 2019; 45(3): 147 doi: 10.1016/j.semerg.2018.07.004
9
Matteo Marcucci, Marco Fogante, Corrado Tagliati, Giulio Papiri. Cut-off point of CT-assessed epicardial adipose tissue volume for predicting worse clinical burden of SARS-CoV-2 pneumoniaEmergency Radiology 2022; 29(4): 645 doi: 10.1007/s10140-022-02059-9
10
S.M. Shehata, F.M. Zaiton, M.H. Abo Warda. Role of MDCT in evaluation of epicardial fat volume as an independent risk factor for coronary atherosclerosisThe Egyptian Journal of Radiology and Nuclear Medicine 2018; 49(2): 329 doi: 10.1016/j.ejrnm.2018.01.008
11
Oriol de Diego, Rut Andrea. El tejido adiposo epicárdico como marcador de riesgo cardiovascular: más de lo que las arterias coronarias pueden contarREC: CardioClinics 2022; 57(3): 159 doi: 10.1016/j.rccl.2022.04.004
12
Ana Filipa Rebelo, António M. Ferreira, José M. Fonseca. Automatic epicardial fat segmentation and volume quantification on non-contrast cardiac Computed TomographyComputer Methods and Programs in Biomedicine Update 2022; 2: 100079 doi: 10.1016/j.cmpbup.2022.100079