Fatty acid composition MRI of epicardial adipose tissue: Methods and detection of proinflammatory biomarkers in ST‐segment elevation myocardial infarction patients.
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| Title: | Fatty acid composition MRI of epicardial adipose tissue: Methods and detection of proinflammatory biomarkers in ST‐segment elevation myocardial infarction patients. |
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| Authors: | Echols, John T.1 (AUTHOR), Wang, Shuo2 (AUTHOR), Patel, Amit R.2 (AUTHOR), Hogwood, Austin C.3 (AUTHOR), Abbate, Antonio2,3 (AUTHOR), Epstein, Frederick H.1,3,4 (AUTHOR) fhe6b@virginia.edu |
| Source: | Magnetic Resonance in Medicine. Feb2025, Vol. 93 Issue 2, p519-535. 17p. |
| Subjects: | Epicardial adipose tissue, Cardiac magnetic resonance imaging, Myocardial infarction, Adipose tissues, ST elevation myocardial infarction |
| Abstract: | Purpose: To develop a method for quantifying the fatty acid composition (FAC) of human epicardial adipose tissue (EAT) using accelerated MRI and identify its potential for detecting proinflammatory biomarkers in patients with ST‐segment elevation myocardial infarction (STEMI). Methods: A multi‐echo radial gradient‐echo sequence was developed for accelerated imaging during a breath hold using a locally low‐rank denoising technique to reconstruct undersampled images. FAC mapping was achieved by fitting the multi‐echo images to a multi‐resonance complex signal model based on triglyceride characterization. Validation of the method was assessed using a phantom comprised of multiple oils. In vivo imaging was performed in STEMI patients (n = 21; 14 males/seven females). FAC was quantified in EAT, subcutaneous AT, and abdominal visceral AT. Results: Phantom validation demonstrated strong correlations (r > 0.97) and statistical significance (p < 0.0001) between measured and reference proton density fat fraction and FAC values. In vivo imaging of STEMI patients revealed a distinct EAT FAC profile compared to subcutaneous AT and abdominal visceral AT. EAT FAC parameters had significant correlations with left ventricular (LV) end‐diastolic volume index (p < 0.05), LV end‐systolic volume index (p < 0.05), and LV mass index (p < 0.05). Conclusions: Accelerated MRI enabled accurate quantification of human EAT FAC. The relationships between the EAT FAC profile and LV structure and function in STEMI patients suggest the potential of EAT FAC MRI as a biomarker for adipose tissue quality and inflammatory status in cardiovascular disease. [ABSTRACT FROM AUTHOR] |
| Copyright of Magnetic Resonance in Medicine is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
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| Header | DbId: egs DbLabel: Engineering Source An: 181194741 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Fatty acid composition MRI of epicardial adipose tissue: Methods and detection of proinflammatory biomarkers in ST‐segment elevation myocardial infarction patients. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Echols%2C+John+T%2E%22">Echols, John T.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Shuo%22">Wang, Shuo</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Patel%2C+Amit+R%2E%22">Patel, Amit R.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hogwood%2C+Austin+C%2E%22">Hogwood, Austin C.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Abbate%2C+Antonio%22">Abbate, Antonio</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Epstein%2C+Frederick+H%2E%22">Epstein, Frederick H.</searchLink><relatesTo>1,3,4</relatesTo> (AUTHOR)<i> fhe6b@virginia.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Magnetic+Resonance+in+Medicine%22">Magnetic Resonance in Medicine</searchLink>. Feb2025, Vol. 93 Issue 2, p519-535. 17p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Epicardial+adipose+tissue%22">Epicardial adipose tissue</searchLink><br /><searchLink fieldCode="DE" term="%22Cardiac+magnetic+resonance+imaging%22">Cardiac magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Myocardial+infarction%22">Myocardial infarction</searchLink><br /><searchLink fieldCode="DE" term="%22Adipose+tissues%22">Adipose tissues</searchLink><br /><searchLink fieldCode="DE" term="%22ST+elevation+myocardial+infarction%22">ST elevation myocardial infarction</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: To develop a method for quantifying the fatty acid composition (FAC) of human epicardial adipose tissue (EAT) using accelerated MRI and identify its potential for detecting proinflammatory biomarkers in patients with ST‐segment elevation myocardial infarction (STEMI). Methods: A multi‐echo radial gradient‐echo sequence was developed for accelerated imaging during a breath hold using a locally low‐rank denoising technique to reconstruct undersampled images. FAC mapping was achieved by fitting the multi‐echo images to a multi‐resonance complex signal model based on triglyceride characterization. Validation of the method was assessed using a phantom comprised of multiple oils. In vivo imaging was performed in STEMI patients (n = 21; 14 males/seven females). FAC was quantified in EAT, subcutaneous AT, and abdominal visceral AT. Results: Phantom validation demonstrated strong correlations (r > 0.97) and statistical significance (p < 0.0001) between measured and reference proton density fat fraction and FAC values. In vivo imaging of STEMI patients revealed a distinct EAT FAC profile compared to subcutaneous AT and abdominal visceral AT. EAT FAC parameters had significant correlations with left ventricular (LV) end‐diastolic volume index (p < 0.05), LV end‐systolic volume index (p < 0.05), and LV mass index (p < 0.05). Conclusions: Accelerated MRI enabled accurate quantification of human EAT FAC. The relationships between the EAT FAC profile and LV structure and function in STEMI patients suggest the potential of EAT FAC MRI as a biomarker for adipose tissue quality and inflammatory status in cardiovascular disease. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Magnetic Resonance in Medicine is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/mrm.30285 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 519 Subjects: – SubjectFull: Epicardial adipose tissue Type: general – SubjectFull: Cardiac magnetic resonance imaging Type: general – SubjectFull: Myocardial infarction Type: general – SubjectFull: Adipose tissues Type: general – SubjectFull: ST elevation myocardial infarction Type: general Titles: – TitleFull: Fatty acid composition MRI of epicardial adipose tissue: Methods and detection of proinflammatory biomarkers in ST‐segment elevation myocardial infarction patients. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Echols, John T. – PersonEntity: Name: NameFull: Wang, Shuo – PersonEntity: Name: NameFull: Patel, Amit R. – PersonEntity: Name: NameFull: Hogwood, Austin C. – PersonEntity: Name: NameFull: Abbate, Antonio – PersonEntity: Name: NameFull: Epstein, Frederick H. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 07403194 Numbering: – Type: volume Value: 93 – Type: issue Value: 2 Titles: – TitleFull: Magnetic Resonance in Medicine Type: main |
| ResultId | 1 |
