Literature DB >> 26424492

3D-Dixon MRI based volumetry of peri- and epicardial fat.

Rami Homsi1, Michael Meier-Schroers1, Jürgen Gieseke1,2, Darius Dabir1, Julian A Luetkens1, Daniel L Kuetting1, Claas P Naehle1,2,3, Christian Marx1, Hans H Schild1, Daniel K Thomas1, Alois M Sprinkart4,5.   

Abstract

There is growing evidence that pericardial and epicardial fat volume (PFV, EFV) are associated with cardiovascular risk. We evaluated a novel method for accurate measurement of PFV and EFV using a 3D-Dixon based cardiac magnetic resonance (CMR) approach. An electrocardiography triggered and respiratory navigator gated 3D-gradient echo pulse sequence was used for cardiac Dixon imaging. Based on this sequence, voxels predominantly containing fat were identified and added up for volumetry. After accuracy assessment in phantoms, consisting of muscle tissue and seven different fat samples (50-200 ml), the sequence was acquired in 34 healthy volunteers (22 male, BMI range 14-42 kg/m(2), age range 21-79 years) at 1.5 T. Analysis was performed independently by two readers who draw two 3D-regions of interest, one for EFV and one for PFV. Additionally, EFV and PFV were compared between overweighted and non-overweighted subjects. The phantom study showed an excellent agreement of measured and true fat volumes (maximum difference = 6 %, linear correlation coefficient R = 1.00). PFV over all volunteers was 158.0 ± 126.4 ml and EFV was 77.0 ± 55.3 ml. PFV and EFV were highly correlated (R = 0.96). Inter-reader agreement was good with a mean difference of 0.2 ± 5.6 and 4.5 ± 4.2 ml for PFV/EFV, (R > 0.99, each). EFV and PFV differed significantly between subjects with BMI > 25 kg/m(2) and BMI < 25 kg/m(2), n = 17 each (PFV 219.0 ± 151.8 vs. 96.9 ± 44.7 ml and EFV 102.3 ± 66.3 vs. 51.7 ± 23.6 ml, p < 0.001, each). The proposed 3D-Dixon based method allows accurate measurement of cardiac fat volumes. It provides a valuable tool for cardiovascular risk stratification by CMR.

Entities:  

Keywords:  CMR; Dixon; Epicardial fat; Pericardial fat; Volumetry

Mesh:

Year:  2015        PMID: 26424492     DOI: 10.1007/s10554-015-0778-8

Source DB:  PubMed          Journal:  Int J Cardiovasc Imaging        ISSN: 1569-5794            Impact factor:   2.357


  37 in total

1.  Interscan reproducibility of computer-aided epicardial and thoracic fat measurement from noncontrast cardiac CT.

Authors:  Ryo Nakazato; Haim Shmilovich; Balaji K Tamarappoo; Victor Y Cheng; Piotr J Slomka; Daniel S Berman; Damini Dey
Journal:  J Cardiovasc Comput Tomogr       Date:  2011-03-21

2.  Echocardiographic epicardial fat thickness and coronary artery disease.

Authors:  Jin-Won Jeong; Myung Ho Jeong; Kyeong Ho Yun; Seok Kyu Oh; Eun Mi Park; Yun Kyung Kim; Sang Jae Rhee; Eun Mi Lee; Je Lee; Nam Jin Yoo; Nam-Ho Kim; Jong Chun Park
Journal:  Circ J       Date:  2007-04       Impact factor: 2.993

Review 3.  Echocardiographic epicardial fat: a review of research and clinical applications.

Authors:  Gianluca Iacobellis; Howard J Willens
Journal:  J Am Soc Echocardiogr       Date:  2009-12       Impact factor: 5.251

4.  Water/fat-resolved whole-heart Dixon coronary MRA: an initial comparison.

Authors:  Peter Börnert; Peter Koken; Kay Nehrke; Holger Eggers; Peter Ostendorf
Journal:  Magn Reson Med       Date:  2013-02-07       Impact factor: 4.668

5.  Cardiac steatosis associates with visceral obesity in nondiabetic obese men.

Authors:  Marit Granér; Reijo Siren; Kristofer Nyman; Jesper Lundbom; Antti Hakkarainen; Markku O Pentikäinen; Kirsi Lauerma; Nina Lundbom; Martin Adiels; Markku S Nieminen; Marja-Riitta Taskinen
Journal:  J Clin Endocrinol Metab       Date:  2013-02-15       Impact factor: 5.958

6.  Epicardial fat from echocardiography: a new method for visceral adipose tissue prediction.

Authors:  Gianluca Iacobellis; Filippo Assael; Maria Cristina Ribaudo; Alessandra Zappaterreno; Giuseppe Alessi; Umberto Di Mario; Frida Leonetti
Journal:  Obes Res       Date:  2003-02

7.  Adipose tissue in the mammalian heart and pericardium: structure, foetal development and biochemical properties.

Authors:  J M Marchington; C A Mattacks; C M Pond
Journal:  Comp Biochem Physiol B       Date:  1989

8.  Adiponectin expression in human epicardial adipose tissue in vivo is lower in patients with coronary artery disease.

Authors:  Gianluca Iacobellis; Daniela Pistilli; Marco Gucciardo; Frida Leonetti; Fabio Miraldi; Gianluca Brancaccio; Pietro Gallo; Cira Rosaria Tiziana di Gioia
Journal:  Cytokine       Date:  2005-03-21       Impact factor: 3.861

9.  Pericardial fat is more abundant in patients with coronary atherosclerosis and even in the non-obese patients: evaluation with cardiac CT angiography.

Authors:  Hwan Seok Yong; Eung Ju Kim; Hong Seog Seo; Eun-Young Kang; Yun Kyung Kim; Ok Hee Woo; Heon Han
Journal:  Int J Cardiovasc Imaging       Date:  2010-02       Impact factor: 2.357

10.  Pericardial fat, visceral abdominal fat, cardiovascular disease risk factors, and vascular calcification in a community-based sample: the Framingham Heart Study.

Authors:  Guido A Rosito; Joseph M Massaro; Udo Hoffmann; Frederick L Ruberg; Amir A Mahabadi; Ramachandran S Vasan; Christopher J O'Donnell; Caroline S Fox
Journal:  Circulation       Date:  2008-01-22       Impact factor: 29.690

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  13 in total

1.  Development and evaluation of a method for segmentation of cardiac, subcutaneous, and visceral adipose tissue from Dixon magnetic resonance images.

Authors:  Jon D Klingensmith; Addison L Elliott; Amy H Givan; Zechariah D Faszold; Cory L Mahan; Adam M Doedtman; Maria Fernandez-Del-Valle
Journal:  J Med Imaging (Bellingham)       Date:  2019-02-07

2.  Spectral analysis of ultrasound radiofrequency backscatter for the identification of epicardial adipose tissue.

Authors:  Jon D Klingensmith; Akhila Karlapalem; Michaela M Kulasekara; Maria Fernandez-Del-Valle
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3.  Impact of obesity and epicardial fat on early left atrial dysfunction assessed by cardiac MRI strain analysis.

Authors:  Morgane Evin; Kathryn M Broadhouse; Fraser M Callaghan; Rachel T McGrath; Sarah Glastras; Rebecca Kozor; Samantha L Hocking; Jérôme Lamy; Alban Redheuil; Nadjia Kachenoura; Greg R Fulcher; Gemma A Figtree; Stuart M Grieve
Journal:  Cardiovasc Diabetol       Date:  2016-12-22       Impact factor: 9.951

4.  Cardiovascular imaging 2016 in the International Journal of Cardiovascular Imaging.

Authors:  Johan H C Reiber; Johan De Sutter; Paul Schoenhagen; Arthur E Stillman; Nico R L Vande Veire
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5.  Fatty metaplasia quantification and impact on regional myocardial function as assessed by advanced cardiac MR imaging.

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Journal:  MAGMA       Date:  2017-06-15       Impact factor: 2.310

6.  Left Atrial Epicardial Fat Volume Is Associated With Atrial Fibrillation: A Prospective Cardiovascular Magnetic Resonance 3D Dixon Study.

Authors:  Shiro Nakamori; Maryam Nezafat; Long H Ngo; Warren J Manning; Reza Nezafat
Journal:  J Am Heart Assoc       Date:  2018-03-23       Impact factor: 5.501

7.  Cardiac MRI quantitative tissue characterization of right atrial mass using mDixon and parametric mapping.

Authors:  Tomas Lapinskas; Marc Kouwenhoven; Bernhard Schnackenburg; Tamar Bigvava; Katharina Wassilew; Rolf Gebker; Stephan Jacobs; Remigijus Zaliunas; Burkert Pieske; Sebastian Kelle
Journal:  Clin Res Cardiol       Date:  2017-06-19       Impact factor: 5.460

8.  Quantification of epicardial fat using 3D cine Dixon MRI.

Authors:  Markus Henningsson; Martin Brundin; Tobias Scheffel; Carl Edin; Federica Viola; Carl-Johan Carlhäll
Journal:  BMC Med Imaging       Date:  2020-07-14       Impact factor: 1.930

9.  Rationale, Design for the ASSET Study: A Prospective Randomized Study Comparing Empagliflozin's Effect to Sitagliptin on Cardiac Fat Accumulation/Function in Patients with Type 2 Diabetes.

Authors:  Fumika Shigiyama; Shigenori Hiruma; Shinji Hisatake; Nobuyuki Shiraga; Takanori Ikeda; Takahisa Hirose; Naoki Kumashiro
Journal:  Diabetes Ther       Date:  2019-06-06       Impact factor: 2.945

10.  Imaging sequence for joint myocardial T1 mapping and fat/water separation.

Authors:  Maryam Nezafat; Shiro Nakamori; Tamer A Basha; Ahmed S Fahmy; Thomas Hauser; René M Botnar
Journal:  Magn Reson Med       Date:  2018-07-29       Impact factor: 4.668

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