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Ayton SL, Yeo JL, Gulsin GS, Dattani A, Bilak J, Deshpande A, Arnold JR, Singh A, Graham-Brown MPM, Ng L, Jones D, Slomka P, Dey D, Moss AJ, Brady EM, McCann GP. Association of epicardial adipose tissue with early structural and functional cardiac changes in Type 2 diabetes. Eur J Radiol 2024; 174:111400. [PMID: 38458143 DOI: 10.1016/j.ejrad.2024.111400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 01/29/2024] [Accepted: 02/27/2024] [Indexed: 03/10/2024]
Abstract
BACKGROUND Dysregulated epicardial adipose tissue (EAT) may contribute to the development of heart failure in Type 2 diabetes (T2D). This study aimed to evaluate the associations between EAT volume and composition with imaging markers of subclinical cardiac dysfunction in people with T2D and no prevalent cardiovascular disease. METHODS Prospective case-control study enrolling participants with and without T2D and no known cardiovascular disease. Two hundred and fifteen people with T2D (median age 63 years, 60 % male) and thirty-nine non-diabetics (median age 59 years, 62 % male) were included. Using computed tomography (CT), total EAT volume and mean CT attenuation, as well as, low attenuation (Hounsfield unit range -190 to -90) EAT volume were quantified by a deep learning method and volumes indexed to body surface area. Associations with cardiac magnetic resonance-derived left ventricular (LV) volumes and strain indices were assessed using linear regression. RESULTS T2D participants had higher LV mass/volume ratio (median 0.89 g/mL [0.82-0.99] vs 0.79 g/mL [0.75-0.89]) and lower global longitudinal strain (GLS; 16.1 ± 2.3 % vs 17.2 ± 2.2 %). Total indexed EAT volume correlated inversely with mean CT attenuation. Low attenuation indexed EAT volume was 2-fold higher (18.8 cm3/m2 vs. 9.4 cm3/m2, p < 0.001) in T2D and independently associated with LV mass/volume ratio (ß = 0.002, p = 0.01) and GLS (ß = -0.03, p = 0.03). CONCLUSIONS Higher EAT volumes seen in T2D are associated with a lower mean CT attenuation. Low attenuation indexed EAT volume is independently, but only weakly, associated with markers of subclinical cardiac dysfunction in T2D.
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Affiliation(s)
- Sarah L Ayton
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Jian L Yeo
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Gaurav S Gulsin
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Abhishek Dattani
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Joanna Bilak
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Aparna Deshpande
- Department of Imaging Services, Glenfield Hospital, University Hospitals of Leicester, Leicester UK
| | - J Ranjit Arnold
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Anvesha Singh
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Matthew P M Graham-Brown
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Leong Ng
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK; Leicester van Geest Multi-Omics Facility, University of Leicester, Leicester, UK
| | - Donald Jones
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK; Leicester van Geest Multi-Omics Facility, University of Leicester, Leicester, UK
| | - Piotr Slomka
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Damini Dey
- Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Alastair J Moss
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK; Leicester van Geest Multi-Omics Facility, University of Leicester, Leicester, UK
| | - Emer M Brady
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - Gerry P McCann
- Department of Cardiovascular Sciences, University of Leicester and the NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK.
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Wan C, He W, Xu Z. Water-Fat Separation for the Knee on a 50 mT Portable MRI Scanner. IEEE Trans Biomed Eng 2024; 71:1687-1696. [PMID: 38150336 DOI: 10.1109/tbme.2023.3347441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2023]
Abstract
OBJECTIVE The Dixon method is frequently employed in clinical and scientific research for fat suppression, because it has lower sensitivity to static magnetic field inhomogeneity compared to chemical shift selective saturation or its variants and maintains image signal-to-noise ratio (SNR). Recently, research on very-low-field (VLF < 100 mT) magnetic resonance imaging (MRI) has regained popularity. However, there is limited literature on water-fat separation in VLF MRI. Here, we present a modified two-point Dixon method specifically designed for VLF MRI. METHODS Most experiments were performed on a homemade 50 mT portable MRI scanner. The receiving coil adopted a homemade quadrature receiving coil. The data were acquired using spin-echo and gradient-echo sequences. We considered the T2* effect, and added priori information to existing two-point Dixon method. Then, the method used regional iterative phasor extraction (RIPE) to extract the error phasor. Finally, least squares solutions for water and fat were obtained and fat signal fraction was calculated. RESULTS For phantom evaluation, water-only and fat-only images were obtained and the local fat signal fractions were calculated, with two samples being 0.94 and 0.93, respectively. For knee imaging, cartilage, muscle and fat could be clearly distinguished. The water-only images were able to highlight areas such as cartilage that could not be easily distinguished without separation. CONCLUSION This work has demonstrated the feasibility of using a 50 mT MRI scanner for water-fat separation. SIGNIFICANCE To the best of our knowledge, this is the first reported result of water-fat separation at a 50 mT portable MRI scanner.
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Aydeniz E, Weberndorfer V, Brandts L, Smulders MW, van Herpt TT, Martens B, Vernooy K, Linz D, van der Horst IC, Wildberger JE, van Bussel BC, Driessen RG, Mihl C. Pericardial Fat Is Associated With Less Severe Multiorgan Failure Over Time in Patients With Coronavirus Disease-19: The Maastricht Intensive Care COVID Cohort. J Thorac Imaging 2024; 39:W32-W39. [PMID: 37624050 PMCID: PMC11027979 DOI: 10.1097/rti.0000000000000732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/26/2023]
Abstract
PURPOSE Pericardial fat (PF) and epicardial adipose tissue (EAT) may enhance the proinflammatory response in corona virus-19 (COVID-19) patients. Higher PF and EAT volumes might result in multiorgan failure and explain unfavorable trajectories.The aim of this study was to examine the association between the volume of PF and EAT and multiorgan failure over time. MATERIALS AND METHODS All mechanically ventilated COVID-19 patients with an available chest computed tomography were prospectively included (March-June 2020). PF and EAT volumes were quantified using chest computed tomography scans. Patients were categorized into sex-specific PF and EAT tertiles. Variables to calculate Sequential Organ Failure Assessment (SOFA) scores were collected daily to indicate multiorgan failure. Linear mixed-effects regression was used to investigate the association between tertiles for PF and EAT volumes separately and serial SOFA scores over time. All models were adjusted. RESULTS Sixty-three patients were divided into PF and EAT tertiles, with median PF volumes of 131.4 mL (IQR [interquartile range]: 115.7, 143.2 mL), 199.8 mL (IQR: 175.9, 221.6 mL), and 318.8 mL (IQR: 281.9, 376.8 mL) and median EAT volumes of 69.6 mL (IQR: 57.0, 79.4 mL), 107.9 mL (IQR: 104.6, 115.1 mL), and 163.8 mL (IQR: 146.5, 203.1 mL). Patients in the highest PF tertile had a statistically significantly lower SOFA score over time (1.3 [-2.5, -0.1], P =0.033) compared with the lowest PF tertile. EAT tertiles were not significantly associated with SOFA scores over time. CONCLUSION A higher PF volume is associated with less multiorgan failure in mechanically ventilated COVID-19 patients. EAT volumes were not associated with multiorgan failure.
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Affiliation(s)
- Eda Aydeniz
- Departments of Intensive Care Medicine Maastricht
- Department of Intensive Care Medicine, Laurentius Hospital Roermond, Roermond, The Netherlands
| | - Vanessa Weberndorfer
- Cardiology
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University
| | - Lloyd Brandts
- Clinical Epidemiology and Medical Technology Assessment
| | - Martijn W. Smulders
- Cardiology
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University
| | - Thijs T.W. van Herpt
- Departments of Intensive Care Medicine Maastricht
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University
| | - Bibi Martens
- Radiology and Nuclear Medicine, Maastricht University Medical Center+
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University
| | - Kevin Vernooy
- Cardiology
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University
| | - Dominik Linz
- Cardiology
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University
| | - Iwan C.C. van der Horst
- Departments of Intensive Care Medicine Maastricht
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University
| | - Joachim E. Wildberger
- Radiology and Nuclear Medicine, Maastricht University Medical Center+
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University
| | - Bas C.T. van Bussel
- Departments of Intensive Care Medicine Maastricht
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University
- Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht
| | - Rob G.H. Driessen
- Departments of Intensive Care Medicine Maastricht
- Cardiology
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University
| | - Casper Mihl
- Radiology and Nuclear Medicine, Maastricht University Medical Center+
- Cardiovascular Research Institute Maastricht (CARIM), Maastricht University
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Chen LL, Qin ZZ. Carotid Artery Perivascular Adipose Tissue Density as a Novel Biomarker for Prognosis. Angiology 2024; 75:494-495. [PMID: 38357779 DOI: 10.1177/00033197241233634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2024]
Affiliation(s)
- Lin-Lin Chen
- Department of Neurology, Liaocheng Third People's Hospital of Shandong Province, Liaocheng, PR China
| | - Zhan-Zhong Qin
- Department of Neurology, Liaocheng Third People's Hospital of Shandong Province, Liaocheng, PR China
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Villarroya F, Giralt M. Controlling brown adipose tissue size through EPAC1. Nat Rev Endocrinol 2024; 20:259-260. [PMID: 38438575 DOI: 10.1038/s41574-024-00971-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/06/2024]
Affiliation(s)
- Francesc Villarroya
- Department of Biochemistry and Molecular Biomedicine, and Institute of Biomedicine (IBUB), University of Barcelona, Barcelona, Spain.
- CIBER Fisiopatologia de la Obesidad y Nutricion, Instituto de Salud Carlos III, Madrid, Spain.
| | - Marta Giralt
- Department of Biochemistry and Molecular Biomedicine, and Institute of Biomedicine (IBUB), University of Barcelona, Barcelona, Spain
- CIBER Fisiopatologia de la Obesidad y Nutricion, Instituto de Salud Carlos III, Madrid, Spain
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Kuang J, Qi Y, Wu Q, Cheng G, Wu Y. Demonstration of magnetic resonance Z-spectral imaging for fatty acid characterization of bone marrow at 3 T. NMR Biomed 2024; 37:e5099. [PMID: 38185878 DOI: 10.1002/nbm.5099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 12/07/2023] [Accepted: 12/08/2023] [Indexed: 01/09/2024]
Abstract
Magnetic resonance Z-spectral imaging (ZSI) has emerged as a new approach to measure fat fraction (FF). However, its feasibility for fat spectral imaging remains to be elucidated. In this study, a single-slice ZSI sequence dedicated to fat spectral imaging was designed, and its capability for fatty acid characterization was investigated on peanut oil samples, a multiple-vial fat-water phantom with varied oil volumes, and vertebral body marrow in healthy volunteers and osteoporosis patients at 3 T. The peanut oil spectrum was also recorded with a 400-MHz NMR spectrometer. A Gaussian-Lorentzian sum model was used to resolve water and six fat signals of the pure oil sample or four fat signals of the fat-water phantom or vertebral bone marrow from Z spectra. Fat peak amplitudes were normalized to the total peak amplitude of water and all fat signals. Normalized fat peak amplitudes and FF were quantified and compared among vials of the fat-water phantom or between healthy volunteers and osteoporosis patients. An unpaired student's t-test and Pearson's correlation were conducted, with p less than 0.05 considered statistically significant. The results showed that the peanut oil spectra measured with the ZSI technique were in line with respective NMR spectra, with amplitudes of the six fat signal peaks significantly correlated between the two methods (y = x + 0.001, r = 0.996, p < 0.001 under a repetition time of 1.6 s; and y = 1.026x - 0.003, r = 0.996, p < 0.001 under a repetition time of 3.1 s). Moreover, ZSI-measured FF exhibited a significant correlation with prepared oil volumes (y = 0.876x + 1.290, r = 0.996, p < 0.001). The osteoporosis patients showed significantly higher normalized fat peak amplitudes and FF in the L4 vertebral body marrow than the healthy volunteers (all p < 0.01). In summary, the designed ZSI sequence is feasible for fatty acid characterization, and has the potential to facilitate the diagnosis and evaluation of diseases associated with fat alterations at 3 T.
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Affiliation(s)
- Junfeng Kuang
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China
| | - Yulong Qi
- Department of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Qiting Wu
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China
| | - Guanxun Cheng
- Department of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Yin Wu
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China
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7
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Westhölter D, Haubold J, Welsner M, Salhöfer L, Wienker J, Sutharsan S, Straßburg S, Taube C, Umutlu L, Schaarschmidt BM, Koitka S, Zensen S, Forsting M, Nensa F, Hosch R, Opitz M. Elexacaftor/tezacaftor/ivacaftor influences body composition in adults with cystic fibrosis: a fully automated CT-based analysis. Sci Rep 2024; 14:9465. [PMID: 38658613 DOI: 10.1038/s41598-024-59622-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 04/11/2024] [Indexed: 04/26/2024] Open
Abstract
A poor nutritional status is associated with worse pulmonary function and survival in people with cystic fibrosis (pwCF). CF transmembrane conductance regulator modulators can improve pulmonary function and body weight, but more data is needed to evaluate its effects on body composition. In this retrospective study, a pre-trained deep-learning network was used to perform a fully automated body composition analysis on chest CTs from 66 adult pwCF before and after receiving elexacaftor/tezacaftor/ivacaftor (ETI) therapy. Muscle and adipose tissues were quantified and divided by bone volume to obtain body size-adjusted ratios. After receiving ETI therapy, marked increases were observed in all adipose tissue ratios among pwCF, including the total adipose tissue ratio (+ 46.21%, p < 0.001). In contrast, only small, but statistically significant increases of the muscle ratio were measured in the overall study population (+ 1.63%, p = 0.008). Study participants who were initially categorized as underweight experienced more pronounced effects on total adipose tissue ratio (p = 0.002), while gains in muscle ratio were equally distributed across BMI categories (p = 0.832). Our findings suggest that ETI therapy primarily affects adipose tissues, not muscle tissue, in adults with CF. These effects are primarily observed among pwCF who were initially underweight. Our findings may have implications for the future nutritional management of pwCF.
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Affiliation(s)
- Dirk Westhölter
- Department of Pulmonary Medicine, University Hospital Essen-Ruhrlandklinik, Essen, Germany
| | - Johannes Haubold
- Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany
- Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
| | - Matthias Welsner
- Department of Pulmonary Medicine, University Hospital Essen-Ruhrlandklinik, Essen, Germany
- Adult Cystic Fibrosis Center, Department of Pulmonary Medicine, University Hospital Essen-Ruhrlandklinik, Essen, Germany
| | - Luca Salhöfer
- Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany
- Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
| | - Johannes Wienker
- Department of Pulmonary Medicine, University Hospital Essen-Ruhrlandklinik, Essen, Germany
| | - Sivagurunathan Sutharsan
- Department of Pulmonary Medicine, University Hospital Essen-Ruhrlandklinik, Essen, Germany
- Adult Cystic Fibrosis Center, Department of Pulmonary Medicine, University Hospital Essen-Ruhrlandklinik, Essen, Germany
| | - Svenja Straßburg
- Department of Pulmonary Medicine, University Hospital Essen-Ruhrlandklinik, Essen, Germany
- Adult Cystic Fibrosis Center, Department of Pulmonary Medicine, University Hospital Essen-Ruhrlandklinik, Essen, Germany
| | - Christian Taube
- Department of Pulmonary Medicine, University Hospital Essen-Ruhrlandklinik, Essen, Germany
| | - Lale Umutlu
- Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
| | - Benedikt M Schaarschmidt
- Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
| | - Sven Koitka
- Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany
- Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
| | - Sebastian Zensen
- Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
| | - Michael Forsting
- Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
| | - Felix Nensa
- Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany
- Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
| | - René Hosch
- Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany
- Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
| | - Marcel Opitz
- Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.
- Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.
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Botezatu SB, Yu X, Meah MN, Williams MC, Dey D, Newby DE, Tzolos E, Dweck MR. Aortic valve perivascular adipose tissue computed tomography attenuation in patients with aortic stenosis. Heart 2024; 110:657-665. [PMID: 37918901 DOI: 10.1136/heartjnl-2023-323217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 10/10/2023] [Indexed: 11/04/2023] Open
Abstract
OBJECTIVE Aortic stenosis (AS) shares pathophysiological similarities with atherosclerosis including active inflammation. CT attenuation of perivascular adipose tissue provides a measure of vascular inflammation that is linked to prognosis and has the potential to be applied to the aortic valve. We investigated perivascular adipose tissue attenuation around the aortic valve in patients with AS. METHODS CT attenuation was measured in the perivascular adipose tissue extending 3 mm radially and 10 mm longitudinally around the aortic valve in patients with and without AS. Associations between perivascular adipose tissue attenuation and AS disease severity, activity and progression were investigated. RESULTS Perivascular adipose tissue attenuation around the aortic valve demonstrated good intraobserver and interobserver repeatability (interobserver: intraclass correlation coefficient 0.977 (95% CI: 0.94, 0.99)) but was similar between patients with AS (n=120) and control subjects (n=80) (-62.4 (-68.7, -56.5) Hounsfield units (HU) vs -61.2 (-65.3, -55.6) HU, p=0.099). There were no differences between perivascular adipose tissue attenuation in patients with mild (-60.2 (-66.9, -55.1) HU), moderate (-62.8 (-69.6, -56.80) HU) or severe (-62.3 (-69.3, -55.4) HU) AS (all p>0.05), and perivascular adipose tissue attenuation did not demonstrate an association with AS severity as assessed by echocardiography or CT calcium scoring, nor with disease activity assessed by 18F-sodium fluoride positron emission tomography. Moreover, there was no association between baseline aortic valve perivascular adipose tissue attenuation and subsequent AS progression (annualised change in peak velocity: r=0.072, p=0.458). Similar results were found using five other image analysis methods. CONCLUSIONS CT-derived aortic valve perivascular adipose tissue attenuation is not associated with AS disease severity, activity or progression suggesting that it has no value in the investigation and management of patients with AS.
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Affiliation(s)
- Simona B Botezatu
- British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK
- Cardiology Department, Euroecolab, University of Medicine and Pharmacy 'Carol Davila', Bucharest, Romania
| | - Xinming Yu
- British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK
| | - Mohammed N Meah
- British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK
| | - Michelle C Williams
- British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK
| | - Damini Dey
- Biomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - David E Newby
- British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK
| | - Evangelos Tzolos
- British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK
| | - Marc R Dweck
- British Heart Foundation Centre for Cardiovascular Science, The University of Edinburgh, Edinburgh, UK
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Malis V, Bae WC, Yamamoto A, Kassai Y, McDonald MA, Miyazaki M. Aliphatic and Olefinic Fat Suppression in the Orbit Using Polarity-altered Spectral and Spatial Selective Acquisition (PASTA) with Opposed Phase. Magn Reson Med Sci 2024; 23:193-203. [PMID: 36948628 PMCID: PMC11024719 DOI: 10.2463/mrms.mp.2022-0073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 02/12/2023] [Indexed: 03/24/2023] Open
Abstract
PURPOSE Fatty acid composition of the orbit makes it challenging to achieve complete fat suppression during orbit MR imaging. Implementation of a fat suppression technique capable of suppressing signals from saturated (aliphatic) and unsaturated (olefinic or protons at double-bonded carbon sites) fat would improve the visualization of an optical nerve. Furthermore, the ability to semi-quantify the fractions of aliphatic and olefinic fat may potentially provide valuable information in assessing orbit pathology. METHODS A phantom study was conducted on various oil samples on a clinical 3 Tesla scanner. The imaging protocol included three 2D fast spin echo (FSE) sequences: in-phase, polarity-altered spectral and spatial selective acquisition (PASTA), and a combination of PASTA with opposed phase in olefinic and aliphatic chemical shift. The results were validated against high-resolution 11.7T NMR and compared with images acquired with spectral attenuated inversion recovery (SPAIR) and chemical shift selective (CHESS) fat suppression techniques. In-vivo data were acquired on eight healthy subjects and were compared with the prior histological studies. RESULTS PASTA with opposed phase achieved complete suppression of fat signals in the orbits and provided images of well-delineated optical nerves and muscles in all subjects. The olefinic fat fraction in the olive, walnut, and fish oil phantoms at 3T was found to be 5.0%, 11.2%, and 12.8%, respectively, whereas 11.7T NMR provides the following olefinic fat fractions: 6.0% for olive, 11.5% for walnut, and 12.6% for fish oils. For the in-vivo study, on average, olefinic fat accounted for 9.9% ± 3.8% of total fat while the aliphatic fat fraction was 90.1% ± 3.8%, in the normal orbits. CONCLUSION We have introduced a new fat suppression technique using PASTA with opposed phase and applied it to human orbits. The purposed method achieves an excellent orbital fat suppression and the quantification of aliphatic and olefinic fat signals.
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Affiliation(s)
- Vadim Malis
- Department of Radiology, University of California San Diego, La Jolla, CA, USA
| | - Won C. Bae
- Department of Radiology, University of California San Diego, La Jolla, CA, USA
- Department of Radiology, VA San Diego Healthcare System, San Diego, CA, USA
| | - Asako Yamamoto
- Department of Radiology, Teikyo University, Tokyo, Japan
| | - Yoshimori Kassai
- CT-MR Solution Planning Department, Canon Medical Systems Corp., Otawara, Tochigi, Japan
| | - Marin A McDonald
- Department of Radiology, University of California San Diego, La Jolla, CA, USA
| | - Mitsue Miyazaki
- Department of Radiology, University of California San Diego, La Jolla, CA, USA
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Okudzhava L, Schulz S, Fischi‐Gomez E, Girard G, Machann J, Koch PJ, Thiran J, Münte TF, Heldmann M. White adipose tissue distribution and amount are associated with increased white matter connectivity. Hum Brain Mapp 2024; 45:e26654. [PMID: 38520361 PMCID: PMC10960552 DOI: 10.1002/hbm.26654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 02/09/2024] [Accepted: 02/27/2024] [Indexed: 03/25/2024] Open
Abstract
Obesity represents a significant public health concern and is linked to various comorbidities and cognitive impairments. Previous research indicates that elevated body mass index (BMI) is associated with structural changes in white matter (WM). However, a deeper characterization of body composition is required, especially considering the links between abdominal obesity and metabolic dysfunction. This study aims to enhance our understanding of the relationship between obesity and WM connectivity by directly assessing the amount and distribution of fat tissue. Whole-body magnetic resonance imaging (MRI) was employed to evaluate total adipose tissue (TAT), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT), while MR liver spectroscopy measured liver fat content in 63 normal-weight, overweight, and obese males. WM connectivity was quantified using microstructure-informed tractography. Connectome-based predictive modeling was used to predict body composition metrics based on WM connectomes. Our analysis revealed a positive dependency between BMI, TAT, SAT, and WM connectivity in brain regions involved in reward processing and appetite regulation, such as the insula, nucleus accumbens, and orbitofrontal cortex. Increased connectivity was also observed in cognitive control and inhibition networks, including the middle frontal gyrus and anterior cingulate cortex. No significant associations were found between WM connectivity and VAT or liver fat. Our findings suggest that altered neural communication between these brain regions may affect cognitive processes, emotional regulation, and reward perception in individuals with obesity, potentially contributing to weight gain. While our study did not identify a link between WM connectivity and VAT or liver fat, further investigation of the role of various fat depots and metabolic factors in brain networks is required to advance obesity prevention and treatment approaches.
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Affiliation(s)
- Liana Okudzhava
- Department of NeurologyUniversity of LübeckLübeckGermany
- Center of Brain, Behavior and MetabolismUniversity of LübeckLübeckGermany
| | - Stephanie Schulz
- Department of NeurologyUniversity of LübeckLübeckGermany
- Center of Brain, Behavior and MetabolismUniversity of LübeckLübeckGermany
| | - Elda Fischi‐Gomez
- CIBM Center for Biomedical ImagingLausanneSwitzerland
- Radiology DepartmentLausanne University and University Hospital (CHUV)LausanneSwitzerland
- Signal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne (EPFL)LausanneSwitzerland
| | - Gabriel Girard
- CIBM Center for Biomedical ImagingLausanneSwitzerland
- Department of Computer ScienceUniversité de SherbrookeSherbrookeQuebecCanada
| | - Jürgen Machann
- Section on Experimental Radiology, Department of RadiologyEberhard‐Karls UniversityTübingenGermany
- German Center for Diabetes Research (DZD)NeuherbergGermany
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center MunichUniversity of TübingenTübingenGermany
| | - Philipp J. Koch
- Department of NeurologyUniversity of LübeckLübeckGermany
- Center of Brain, Behavior and MetabolismUniversity of LübeckLübeckGermany
| | - Jean‐Philippe Thiran
- CIBM Center for Biomedical ImagingLausanneSwitzerland
- Radiology DepartmentLausanne University and University Hospital (CHUV)LausanneSwitzerland
- Signal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne (EPFL)LausanneSwitzerland
| | - Thomas F. Münte
- Department of NeurologyUniversity of LübeckLübeckGermany
- Center of Brain, Behavior and MetabolismUniversity of LübeckLübeckGermany
| | - Marcus Heldmann
- Department of NeurologyUniversity of LübeckLübeckGermany
- Center of Brain, Behavior and MetabolismUniversity of LübeckLübeckGermany
- Institute of Psychology IIUniversity of LübeckLübeckGermany
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11
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Gassert FG, Kranz J, Gassert FT, Schwaiger BJ, Bogner C, Makowski MR, Glanz L, Stelter J, Baum T, Braren R, Karampinos DC, Gersing AS. Longitudinal MR-based proton-density fat fraction (PDFF) and T2* for the assessment of associations between bone marrow changes and myelotoxic chemotherapy. Eur Radiol 2024; 34:2437-2444. [PMID: 37691079 PMCID: PMC10957695 DOI: 10.1007/s00330-023-10189-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 04/14/2023] [Accepted: 07/07/2023] [Indexed: 09/12/2023]
Abstract
OBJECTIVES MR imaging-based proton density fat fraction (PDFF) and T2* imaging has shown to be useful for the evaluation of degenerative changes in the spine. Therefore, the aim of this study was to investigate the influence of myelotoxic chemotherapy on the PDFF and T2* of the thoracolumbar spine in comparison to changes in bone mineral density (BMD). METHODS In this study, 19 patients were included who had received myelotoxic chemotherapy (MC) and had received a MR imaging scan of the thoracolumbar vertebrates before and after the MC. Every patient was matched for age, sex, and time between the MRI scans to two controls without MC. All patients underwent 3-T MR imaging including the thoracolumbar spine comprising chemical shift encoding-based water-fat imaging to extract PDFF and T2* maps. Moreover, trabecular BMD values were determined before and after chemotherapy. Longitudinal changes in PDFF and T2* were evaluated and compared to changes in BMD. RESULTS Absolute mean differences of PDFF values between scans before and after MC were at 8.7% (p = 0.01) and at -0.5% (p = 0.57) in the control group, resulting in significantly higher changes in PDFF in patients with MC (p = 0.008). BMD and T2* values neither showed significant changes in patients with nor in those without myelotoxic chemotherapy (p = 0.15 and p = 0.47). There was an inverse, yet non-significant correlation between changes in PDFF and BMD found in patients with myelotoxic chemotherapy (r = -0.41, p = 0.12). CONCLUSION Therefore, PDFF could be a useful non-invasive biomarker in order to detect changes in the bone marrow in patients receiving myelotoxic therapy. CLINICAL RELEVANCE STATEMENT Using PDFF as a non-invasive biomarker for early bone marrow changes in oncologic patients undergoing myelotoxic treatment may help enable more targeted countermeasures at commencing states of bone marrow degradation and reduce risks of possible fragility fractures. KEY POINTS Quantifying changes in bone marrow fat fraction, as well as T2* caused by myelotoxic pharmaceuticals using proton density fat fraction, is feasible. Proton density fat fraction could potentially be established as a non-invasive biomarker for early bone marrow changes in oncologic patients undergoing myelotoxic treatment.
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Affiliation(s)
- Felix G Gassert
- Department of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany.
| | - Julia Kranz
- Department of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany
| | - Florian T Gassert
- Department of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany
| | - Benedikt J Schwaiger
- Department of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany
- Department of Neuroradiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Christian Bogner
- Department of Oncology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Marcus R Makowski
- Department of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany
| | - Leander Glanz
- Department of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany
| | - Jonathan Stelter
- Department of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany
| | - Thomas Baum
- Department of Neuroradiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Rickmer Braren
- Department of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany
| | - Dimitrios C Karampinos
- Department of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany
| | - Alexandra S Gersing
- Department of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany
- Department of Neuroradiology, University Hospital of Munich, Ludwig-Maximilians University Munich, Munich, Germany
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12
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Suwannaying K, Ong AA, Dhaduk R, Pei D, Iijima M, Merkle E, Zhuang TZ, Goodenough CG, Brown J, Browne EK, Wolcott B, Cheng C, Wilson CL, Pui CH, Ness KK, Kaste SC, Inaba H. Quantitative computed tomography analysis of body composition changes in paediatric patients with acute lymphoblastic leukaemia. Br J Haematol 2024; 204:1335-1343. [PMID: 38291722 PMCID: PMC11006578 DOI: 10.1111/bjh.19310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 01/04/2024] [Accepted: 01/10/2024] [Indexed: 02/01/2024]
Abstract
Children with acute lymphoblastic leukaemia (ALL) are at risk for obesity and cardiometabolic diseases. To gain insight into body composition changes among children with ALL, we assessed quantitative computed tomography (QCT) data for specific body compartments (subcutaneous adipose tissue [SAT], visceral adipose tissue [VAT], total adipose tissue [TAT], lean tissue [LT], LT/TAT and VAT/SAT at lumbar vertebrae L1 and L2) at diagnosis and at off-therapy for 189 children with ALL and evaluated associations between body mass index (BMI) Z-score and clinical characteristics. BMI Z-score correlated positively with SAT, VAT and TAT and negatively with LT/TAT and VAT/SAT. At off-therapy, BMI Z-score, SAT, VAT and TAT values were higher than at diagnosis, but LT, LT/TAT and VAT/SAT were lower. Patients aged ≥10 years at diagnosis had higher SAT, VAT and TAT and lower LT and LT/TAT than patients aged 2.0-9.9 years. Female patients had lower LT and LT/TAT than male patients. Black patients had less VAT than White patients. QCT analysis showed increases in adipose tissue and decreases in LT during ALL therapy when BMI Z-scores increased. Early dietary and physical therapy interventions should be considered, particularly for patients at risk for obesity.
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Affiliation(s)
- Kunanya Suwannaying
- Department of Oncology, St. Jude Children’s Research Hospital, Memphis, Tennessee
- Department of Pediatrics, Khon Kaen university, Khon Kaen, Thailand
| | - Adrian A. Ong
- Department of Oncology, St. Jude Children’s Research Hospital, Memphis, Tennessee
| | - Rikeenkumar Dhaduk
- Department of Epidemiology and Cancer Control, St. Jude Children’s Research Hospital, Memphis, Tennessee
| | - Deqing Pei
- Department of Biostatistics, St. Jude Children’s Research Hospital, Memphis, Tennessee
| | - Mayuko Iijima
- Department of Oncology, St. Jude Children’s Research Hospital, Memphis, Tennessee
| | - Eric Merkle
- Department of Oncology, St. Jude Children’s Research Hospital, Memphis, Tennessee
- Department of Pediatrics, University of Tennessee Health Science Center, Memphis, Tennessee
| | - Tony Z. Zhuang
- Department of Oncology, St. Jude Children’s Research Hospital, Memphis, Tennessee
| | - Chelsea G. Goodenough
- Department of Epidemiology and Cancer Control, St. Jude Children’s Research Hospital, Memphis, Tennessee
| | | | - Emily K. Browne
- Department of Psychology, St. Jude Children’s Research Hospital, Memphis, Tennessee
| | - Bruce Wolcott
- Department of Epidemiology and Cancer Control, St. Jude Children’s Research Hospital, Memphis, Tennessee
| | - Cheng Cheng
- Department of Biostatistics, St. Jude Children’s Research Hospital, Memphis, Tennessee
| | - Carmen L. Wilson
- Department of Epidemiology and Cancer Control, St. Jude Children’s Research Hospital, Memphis, Tennessee
| | - Ching-Hon Pui
- Department of Oncology, St. Jude Children’s Research Hospital, Memphis, Tennessee
- Department of Pediatrics, University of Tennessee Health Science Center, Memphis, Tennessee
| | - Kirsten K. Ness
- Department of Epidemiology and Cancer Control, St. Jude Children’s Research Hospital, Memphis, Tennessee
| | - Sue C. Kaste
- Department of Oncology, St. Jude Children’s Research Hospital, Memphis, Tennessee
- Department of Diagnostic Imaging, St. Jude Children’s Research Hospital, Memphis, Tennessee
- Department of Radiology, University of Tennessee Health Science Center, Memphis, Tennessee
| | - Hiroto Inaba
- Department of Oncology, St. Jude Children’s Research Hospital, Memphis, Tennessee
- Department of Pediatrics, University of Tennessee Health Science Center, Memphis, Tennessee
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13
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Liu Y, Dong Y, Wang X, Xu X. Association between metformin treatment and coronary artery inflammation based on pericoronary adipose tissue attenuation in type 2 diabetes mellitus patients. J Clin Hypertens (Greenwich) 2024; 26:330-337. [PMID: 38430483 PMCID: PMC11007798 DOI: 10.1111/jch.14777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Revised: 01/15/2024] [Accepted: 01/16/2024] [Indexed: 03/03/2024]
Abstract
Cardiovascular disease (CVD) is the leading cause of mortality in type 2 diabetes mellitus (T2DM) patients. The role of metformin in reducing cardiovascular events is well-established, but its effect on coronary artery inflammation in T2DM patients is still unclear. In this study, we evaluated 547 T2DM patients who underwent coronary computed tomography angiography (CCTA) at Wuhan Central Hospital. Using propensity score matching, we compared the attenuation of pericoronary adipose tissue (PCAT), an imaging marker of coronary artery inflammation, between patients treated with and without metformin. Multiple linear regression models were used to analyze the influence of metformin on PCAT attenuation. The results of the propensity-matched analysis showed that patients on metformin therapy had significantly lower PCAT attenuation, indicating reduced coronary inflammation. Specifically, the PCAT attenuation in the left anterior descending artery (LAD) and right coronary artery (RCA) was lower in the metformin group compared to the non-metformin group. Metformin use was independently associated with decreased LAD-PCAT attenuation in the multivariate regression analysis. The association of metformin with PCAT attenuation differed significantly in populations analyzed in subgroups of patients with obesity and chronic kidney disease. In conclusion, our study shows a preliminary signal that metformin therapy may be associated with decreased coronary artery inflammation in T2DM patients, as indicated by PCAT attenuation on CCTA. And this correlation may vary depending on the patient population. This initial finding suggests that PCAT attenuation could be potentially used as an imaging biomarker to monitor the anti-inflammatory effects of medication.
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Affiliation(s)
- Yuankang Liu
- Department of Radiology, Liyuan HospitalTongji Medical College, Huazhong University of Science and TechnologyWuchang District, WuhanChina
| | - Yue Dong
- Department of Radiology, Liyuan HospitalTongji Medical College, Huazhong University of Science and TechnologyWuchang District, WuhanChina
| | - Xiang Wang
- Department of RadiologyCentral Hospital of WuhanJiangan District, WuhanChina
| | - Xiangyang Xu
- Department of Radiology, Liyuan HospitalTongji Medical College, Huazhong University of Science and TechnologyWuchang District, WuhanChina
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14
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Nie T, Wu F, Heng Y, Cai W, Liu Z, Qin L, Cao Y, Zheng C. Influence of skeletal muscle and intermuscular fat on postoperative complications and long-term survival in rectal cancer patients. J Cachexia Sarcopenia Muscle 2024; 15:702-717. [PMID: 38293722 PMCID: PMC10995272 DOI: 10.1002/jcsm.13424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 10/06/2023] [Accepted: 12/07/2023] [Indexed: 02/01/2024] Open
Abstract
BACKGROUND The body composition of patients with rectal cancer potentially affects postoperative outcomes. This study explored the correlations between skeletal muscle and adipose tissue quantified by computed tomography (CT) with postoperative complications and long-term prognosis in patients with rectal cancer after surgical resection. METHODS This retrospective cohort study included patients with rectal cancer who underwent surgical resection at the Wuhan Union Hospital between 2014 and 2018. CT images within 3 months prior to the surgery were used to quantify the indices of skeletal muscle and adipose tissue at the levels of the third lumbar vertebra (L3) and umbilicus. Optimal cut-off values for each index were defined separately for males and females. Associations between body composition and postoperative complications, overall survival (OS), and disease-free survival (DFS) were evaluated using logistic and Cox proportional hazards models. RESULTS We included 415 patients (240 males and 175 females; mean age: 57.8 ± 10.5 years). At the L3 level, a high skeletal muscle density (SMD; hazard ratio [HR]: 0.357, 95% confidence interval [CI]: 0.191-0.665, P = 0.001; HR: 0.571, 95% CI: 0.329-0.993, P = 0.047) and a high skeletal muscle index (SMI; HR: 0.435, 95% CI 0.254-0.747, P = 0.003; HR: 0.568, 95% CI: 0.359-0.897, P = 0.015) were independent prognostic factors for better OS and DFS. At the umbilical level, a large intermuscular fat area (IMFA; HR: 1.904, 95% CI: 1.068-3.395, P = 0.029; HR: 2.064, 95% CI: 1.299-3.280, P = 0.002) was an independent predictive factor for worse OS and DFS, and a high SMI (HR: 0.261, 95% CI: 0.132-0.517, P < 0.001; HR: 0.595, 95% CI: 0.387-0.913, P = 0.018) was an independent prognostic factor for better OS and DFS. The models combining body composition and clinical indicators had good predictive abilities for OS. The receiver operating characteristic areas under the curve were 0.848 and 0.860 at the L3 and umbilical levels, respectively (both P < 0.05). CONCLUSIONS No correlations existed between CT-quantified body composition parameters and postoperative complications. However, a high SMD and high SMI were significantly associated with longer OS and DFS at the L3 level, whereas a large IMFA and low SMI were associated with worse OS and DFS at the umbilical level. Combining CT-quantified body composition and clinical indicators could help physicians predict the prognosis of patients with rectal cancer after surgery.
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Affiliation(s)
- Tong Nie
- Department of Radiology, Union Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
- Hubei Province Key Laboratory of Molecular ImagingWuhanChina
| | - Feihong Wu
- Department of Radiology, Union Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
- Hubei Province Key Laboratory of Molecular ImagingWuhanChina
| | - Yixin Heng
- Department of General SurgeryThe First Affiliated Hospital of Shihezi UniversityShiheziChina
| | - Wentai Cai
- The First Clinical School, Union Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | | | - Le Qin
- Department of General SurgeryThe First Affiliated Hospital of Shihezi UniversityShiheziChina
- Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Yinghao Cao
- Cancer Center, Union Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
- Department of Digestive Surgical Oncology, Cancer Center, Union Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
| | - Chuansheng Zheng
- Department of Radiology, Union Hospital, Tongji Medical CollegeHuazhong University of Science and TechnologyWuhanChina
- Hubei Province Key Laboratory of Molecular ImagingWuhanChina
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15
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Gauthier C, Guttman A, Bakaes Y, Jackson JB, Gonzalez T. Analysis of Nonweightbearing MRI Fat Pad Thickness Under Central Metatarsals in Patients With and Without Metatarsalgia. Foot Ankle Int 2024; 45:406-411. [PMID: 38327178 DOI: 10.1177/10711007241227174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
BACKGROUND Metatarsalgia is a common diagnosis for patients with forefoot pain. Many have proposed metatarsal fat pad atrophy is a cause of metatarsalgia and therefore have suggested fat grafting instead of distal metatarsal osteotomies to treat metatarsalgia. For fat grafting to be a viable treatment, fat pad atrophy should correlate with metatarsalgia. This study looked to determine the relationship between metatarsal fat pad thickness and metatarsalgia and the correlation between metatarsal fat pad thickness and patient-reported outcomes. METHODS We conducted a retrospective review of patients with metatarsalgia and those with foot or ankle osteoarthritis who had a nonweightbearing MRI performed between February 1, 2021, and March 1, 2023. Data collected included demographics, PROMIS scores, metatarsal fat pad thickness in the second and third rays of the affected foot, and thinnest area on coronal section, measured on MRI. Student t test was used to compare continuous variables, whereas the χ2 test was used to compare categorical variables. Multivariable linear regression models were used to control for potential confounding factors. RESULTS A total of 112 patients were included in this study. Patients with metatarsalgia were significantly more likely to have a lower body mass index (29.3 vs 32.0, P = .03) than patients with osteoarthritis, but this finding was not present when controlling for confounding variables. We found no significant difference in fat pad thickness between patients with metatarsalgia vs patients with foot or ankle osteoarthritis (P = .43). We found no correlation between metatarsal fat pad thickness and pain interference (P = .59), physical function (P = .64), or mobility (P = .94) PROMIS scores. CONCLUSION In this retrospective comparative study of a relatively small cohort we found no significant difference in metatarsal fat pad thickness for patients with metatarsalgia vs patients with foot and ankle osteoarthritis based on nonweightbearing MRI, and no association between metatarsal fat pad thickness and patient-reported outcomes. LEVEL OF EVIDENCE Level III, case control study.
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Affiliation(s)
- Chase Gauthier
- Prisma Health, Department of Orthopedic Surgery, Columbia, SC, USA
| | - Anne Guttman
- Prisma Health, Department of Orthopedic Surgery, Columbia, SC, USA
| | - Yianni Bakaes
- Prisma Health, Department of Orthopedic Surgery, Columbia, SC, USA
| | | | - Tyler Gonzalez
- Prisma Health, Department of Orthopedic Surgery, Columbia, SC, USA
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Ferro BS, da Silva JP, Testa CAEP, Corrêa de Camargo G, Ichikawa RS, Beltrán Urrego AC, Guimarães-Okamoto PTC, Mamprim MJ, Melchert A. Combined use of body condition score, radiography, ultrasonography and computed tomography in body condition evaluation of crab-eating fox (Cerdocyon thous). Vet Res Commun 2024; 48:695-703. [PMID: 37861972 DOI: 10.1007/s11259-023-10236-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 10/09/2023] [Indexed: 10/21/2023]
Abstract
This study aimed to evaluate the application of radiography, ultrasonography, and computed tomography (CT) as auxiliaries in the determination of body fat and musculature in crab-eating foxes (Cerdocyon thous). Eight animals were evaluated and classified based on the body condition score (BCS) scale. The total cut volume, total visceral volume, total subcutaneous volume, visceral fat volume, subcutaneous fat volume, and total fat volume were measured. The correlation of the BCS with the other data was determined. In the ultrasound, there was a correlation of the vertebral epaxial musculature score (VEMS) with body weight, BCS, muscle mass score (MMS), animal's height, and height at the withers. In the radiographic analysis, the amount of subcutaneous fat obtained in L3 vertebrae did not present a significant correlation with BCS, as opposed to L6. In the tomographic analysis, TFV/L6, VFV/L6, and SFV/L6 correlated with BCS in L3, and only SFV /L6 in L6. When the ratios between fat volumes were correlated, the correlation with BCS occurred only in L6 in the TFV/TBV, SFV/SVC, and VFW variants. Radiography and CT were effective and had a good association with BCS. With the CT it was possible to demonstrate the distribution of total fat at the level of the L3 slice. The ratio of calculations considering the length of the L6 vertebra was more adequate, while at the level of L6 the ratio between the volumes of the compartments was more effective.
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Affiliation(s)
- Barbara Sardela Ferro
- Wild Animals Postgraduate, School of Veterinary Medicine and Animal Science, São Paulo State University - UNESP, Botucatu, São Paulo, Brazil
| | - Jeana Pereira da Silva
- Wild Animals Postgraduate, School of Veterinary Medicine and Animal Science, São Paulo State University - UNESP, Botucatu, São Paulo, Brazil
| | | | - Gabriel Corrêa de Camargo
- Wild Animals Postgraduate, School of Veterinary Medicine and Animal Science, São Paulo State University - UNESP, Botucatu, São Paulo, Brazil
| | - Ricardo Shoiti Ichikawa
- Wild Animals Postgraduate, School of Veterinary Medicine and Animal Science, São Paulo State University - UNESP, Botucatu, São Paulo, Brazil
| | - Ana Camila Beltrán Urrego
- Wild Animals Postgraduate, School of Veterinary Medicine and Animal Science, São Paulo State University - UNESP, Botucatu, São Paulo, Brazil
| | | | - Maria Jaqueline Mamprim
- Department of Veterinary Surgery and Animal Reproduction, School of Veterinary Medicine and Animal Science, São Paulo State University - UNESP, Botucatu, SP, Brazil
| | - Alessandra Melchert
- Department of Veterinary Clinic, School of Veterinary Medicine and Animal Science, São Paulo State University - UNESP, Botucatu, São Paulo, Brazil.
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17
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Liu Y, Dai L, Dong Y, Ma C, Cheng P, Jiang C, Liao H, Li Y, Wang X, Xu X. Coronary inflammation based on pericoronary adipose tissue attenuation in type 2 diabetic mellitus: effect of diabetes management. Cardiovasc Diabetol 2024; 23:108. [PMID: 38553738 PMCID: PMC10981289 DOI: 10.1186/s12933-024-02199-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 03/12/2024] [Indexed: 04/01/2024] Open
Abstract
BACKGROUND Coronary inflammation plays crucial role in type 2 diabetes mellitus (T2DM) induced cardiovascular complications. Both glucose-lowering drug interventions (GLDIS) and glycemic control (GC) status potentially correlate coronary inflammation, as indicated by changes in pericoronary adipose tissue (PCAT) attenuation, and thus influence cardiovascular risk. This study evaluated the impact of GLDIS and GC status on PCAT attenuation in T2DM patients. METHODS This retrospective study collected clinical data and coronary computed tomography angiography (CCTA) images of 1,342 patients, including 547 T2DM patients and 795 non-T2DM patients in two tertiary hospitals. T2DM patients were subgroup based on two criteria: (1) GC status: well: HbA1c < 7%, moderate: 7 ≤ HbA1c ≤ 9%, and poor: HbA1c > 9%; (2) GLDIS and non-GLDIS. PCAT attenuations of the left anterior descending artery (LAD-PCAT), left circumflex artery (LCX-PCAT), and right coronary artery (RCA-PCAT) were measured. Propensity matching (PSM) was used to cross compare PCAT attenuation of non-T2DM and all subgroups of T2DM patients. Linear regressions were conducted to evaluate the impact of GC status and GLDIS on PCAT attenuation in T2DM patients. RESULTS Significant differences were observed in RCA-PCAT and LCX-PCAT between poor GC-T2DM and non-T2DM patients (LCX: - 68.75 ± 7.59 HU vs. - 71.93 ± 7.25 HU, p = 0.008; RCA: - 74.37 ± 8.44 HU vs. - 77.2 ± 7.42 HU, p = 0.026). Higher PCAT attenuation was observed in LAD-PCAT, LCX-PCAT, and RCA-PCAT in non-GLDIS T2DM patients compared with GLDIS T2DM patients (LAD: - 78.11 ± 8.01 HU vs. - 75.04 ± 8.26 HU, p = 0.022; LCX: - 71.10 ± 8.13 HU vs. - 68.31 ± 7.90 HU, p = 0.037; RCA: - 78.17 ± 8.64 HU vs. - 73.35 ± 9.32 HU, p = 0.001). In the linear regression, other than sex and duration of diabetes, both metformin and acarbose were found to be significantly associated with lower LAD-PCAT (metformin: β coefficient = - 2.476, p=0.021; acarbose: β coefficient = - 1.841, p = 0.031). CONCLUSION Inadequate diabetes management, including poor GC and lack of GLDIS, may be associated with increased coronary artery inflammation in T2DM patients, as indicated by PCAT attenuation on CCTA, leading to increased cardiovascular risk. This finding could help healthcare providers identify T2DM patients with increased cardiovascular risk, develop improved cardiovascular management programs, and reduce subsequent cardiovascular related mortality.
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Affiliation(s)
- Yuankang Liu
- Department of Radiology, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, 39 Yanhu Avenue, Wuchang District, Wuhan, 430077, China
| | - Lisong Dai
- Department of Diagnostic and Interventional Radiology, Shanghai Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine, No. 600, Yishan Road, Xuhui District, Shanghai, Shanghai, 200233, China
| | - Yue Dong
- Department of Radiology, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, 39 Yanhu Avenue, Wuchang District, Wuhan, 430077, China
| | - Cong Ma
- Department of Surgery, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, 39 Yanhu Avenue, Wuchang District, Wuhan, 430077, China
| | - Panpan Cheng
- Department of Radiology, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, 39 Yanhu Avenue, Wuchang District, Wuhan, 430077, China
| | - Cuiping Jiang
- Department of Radiology, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, 39 Yanhu Avenue, Wuchang District, Wuhan, 430077, China
| | - Hongli Liao
- Department of Radiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Shengli Road No. 26, Jiangan District, Wuhan, 430014, China
| | - Ying Li
- Department of Radiology, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, 39 Yanhu Avenue, Wuchang District, Wuhan, 430077, China
| | - Xiang Wang
- Department of Radiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Shengli Road No. 26, Jiangan District, Wuhan, 430014, China.
| | - Xiangyang Xu
- Department of Radiology, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, 39 Yanhu Avenue, Wuchang District, Wuhan, 430077, China.
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Jing M, Xi H, Sun J, Zhu H, Deng L, Han T, Zhang B, Zhang Y, Zhou J. Differentiation of acute coronary syndrome with radiomics of pericoronary adipose tissue. Br J Radiol 2024; 97:850-858. [PMID: 38366613 PMCID: PMC11027295 DOI: 10.1093/bjr/tqae032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 07/11/2023] [Accepted: 02/03/2024] [Indexed: 02/18/2024] Open
Abstract
OBJECTIVE To assess the potential values of radiomics signatures of pericoronary adipose tissue (PCAT) in identifying patients with acute coronary syndrome (ACS). METHODS In total, 149, 227, and 244 patients were clinically diagnosed with ACS, chronic coronary syndrome (CCS), and without coronary artery disease (CAD), respectively, and were retrospectively analysed and randomly divided into training and testing cohorts at a 2:1 ratio. From the PCATs of the proximal left anterior descending branch, left circumflex branch, and right coronary artery (RCA), the pericoronary fat attenuation index (FAI) value and radiomics signatures were calculated, among which features closely related to ACS were screened out. The ACS differentiation models AC1, AC2, AC3, AN1, AN2, and AN3 were constructed based on the FAI value of RCA and the final screened out first-order and texture features, respectively. RESULTS The FAI values were all higher in patients with ACS than in those with CCS and no CAD (all P < .05). For the identification of ACS and CCS, the area-under-the-curve (AUC) values of AC1, AC2, and AC3 were 0.92, 0.94, and 0.91 and 0.91, 0.86, and 0.88 in the training and testing cohorts, respectively. For the identification of ACS and no CAD, the AUC values of AN1, AN2, and AN3 were 0.95, 0.94, and 0.94 and 0.93, 0.87, and 0.89 in the training and testing cohorts, respectively. CONCLUSIONS Identification models constructed based on the radiomics signatures of PCAT are expected to be an effective tool for identifying patients with ACS. ADVANCES IN KNOWLEDGE The radiomics signatures of PCAT and FAI values are expected to differentiate between patients with ACS, CCS and those without CAD on imaging.
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Affiliation(s)
- Mengyuan Jing
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, 730030, China
- Second Clinical School, Lanzhou University, Lanzhou, 730030, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, 730030, China
| | - Huaze Xi
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, 730030, China
- Second Clinical School, Lanzhou University, Lanzhou, 730030, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, 730030, China
| | - Jianqing Sun
- Shanghai United Imaging Research Institute of Intelligent Imaging, Shanghai, 201807, China
| | - Hao Zhu
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, 730030, China
- Second Clinical School, Lanzhou University, Lanzhou, 730030, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, 730030, China
| | - Liangna Deng
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, 730030, China
- Second Clinical School, Lanzhou University, Lanzhou, 730030, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, 730030, China
| | - Tao Han
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, 730030, China
- Second Clinical School, Lanzhou University, Lanzhou, 730030, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, 730030, China
| | - Bin Zhang
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, 730030, China
- Second Clinical School, Lanzhou University, Lanzhou, 730030, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, 730030, China
| | - Yuting Zhang
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, 730030, China
- Second Clinical School, Lanzhou University, Lanzhou, 730030, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, 730030, China
| | - Junlin Zhou
- Department of Radiology, Lanzhou University Second Hospital, Lanzhou, 730030, China
- Second Clinical School, Lanzhou University, Lanzhou, 730030, China
- Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China
- Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, 730030, China
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Marzocchi G, Damiani Ferretti M, Mengoli M, Lovato L. Non-traumatic fat necrosis of the buttock: MRI findings of an unusual entity. BMJ Case Rep 2024; 17:e258530. [PMID: 38508600 PMCID: PMC10952900 DOI: 10.1136/bcr-2023-258530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/22/2024] Open
Affiliation(s)
- Guido Marzocchi
- Pediatric and Adult CardioThoracic and Vascular, Oncohematologic and Emergency Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Margherita Damiani Ferretti
- Pediatric and Adult CardioThoracic and Vascular, Oncohematologic and Emergency Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Marco Mengoli
- Pediatric and Adult CardioThoracic and Vascular, Oncohematologic and Emergency Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Luigi Lovato
- Pediatric and Adult CardioThoracic and Vascular, Oncohematologic and Emergency Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
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20
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Tuma ISM, Cambi MPC, Moraes TPD, Magro DO, Kotze PG. BODY FAT COMPOSITION IN PATIENTS WITH INFLAMMATORY BOWEL DISEASES: A COMPARATIVE STUDY BETWEEN SKINFOLDS AND ULTRASONOGRAPHY. Arq Gastroenterol 2024; 61:e23088. [PMID: 38451660 DOI: 10.1590/s0004-2803.246102023-88] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 10/23/2023] [Indexed: 03/08/2024]
Abstract
BACKGROUND Inflammatory bowel diseases (IBD) are associated with important changes in nutritional status. OBJECTIVE The aim of the study was to compare body fat composition between two anthropometric methods: skinfolds and ultrasonography, in patients with IBD. METHODS Single-center cross-sectional study with IBD patients in remission or active disease. For the agreement analysis between the body fat assessment methods, the Bland Altman method was used. RESULTS A total of 101 patients with IBD were included, 75 with Crohn's disease and 26 with ulcerative colitis. Approximately 56% of the patients with Crohn's disease and 65.4% of those with ulcerative colitis had a body fat composition above normal levels, with no significant difference between the diseases (P=0.63). The Bland-Altman concordance analysis showed that the methods for assessing the percentage of fat by the adipometer and ultrasound were not in full agreement (P=0.001), despite both presented good correlation (CC 0.961; P=0.000). CONCLUSION The analysis of body fat percentage in patients with IBD was different between the skinfolds and ultrasound. Both methods can be used to assess the of body fat percentage of patients with IBD. However, monitoring of body fat sequentially and longitudinally should always be performed using the same method throughout the disease course. Prospective longitudinal studies are warranted to precisely define the role of these two methods of measuring body composition in patients with IBD. BACKGROUND • Inflammatory bowel diseases are associated with changes in nutritional status. BACKGROUND • Skinfolds measurements and ultrasound are valid methods for assessing body composition and body fat. BACKGROUND • These methods despite comparable are not identical and are useful in clinical nutritional practices in IBD.
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Affiliation(s)
- Isadora Sayuri Macedo Tuma
- Pontifícia Universidade Católica do Paraná, Unidade de Cirurgia Colorretal, Ambulatório de DII, Curitiba, PR, Brasil
| | - Maria Paula Carlin Cambi
- Pontifícia Universidade Católica do Paraná, Unidade de Cirurgia Colorretal, Ambulatório de DII, Curitiba, PR, Brasil
| | - Thyago Proença de Moraes
- Pontifícia Universidade Católica do Paraná, Unidade de Cirurgia Colorretal, Ambulatório de DII, Curitiba, PR, Brasil
| | - Daniéla Oliveira Magro
- Faculdade de Ciências Médicas da Universidade Estadual de Campinas, Departamento de Cirurgia, Campinas, SP, Brasil
| | - Paulo Gustavo Kotze
- Pontifícia Universidade Católica do Paraná, Unidade de Cirurgia Colorretal, Ambulatório de DII, Curitiba, PR, Brasil
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21
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Liu J, Shafaat O, Bhadra S, Parnell C, Harris A, Summers RM. Improved subcutaneous edema segmentation on abdominal CT using a generated adipose tissue density prior. Int J Comput Assist Radiol Surg 2024; 19:443-448. [PMID: 38233598 PMCID: PMC10881596 DOI: 10.1007/s11548-023-03051-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 12/20/2023] [Indexed: 01/19/2024]
Abstract
PURPOSE Edema, or swelling, is a common symptom of kidney, heart, and liver disease. Volumetric edema measurement is potentially clinically useful. Edema can occur in various tissues. This work focuses on segmentation and volume measurement of one common site, subcutaneous adipose tissue. METHODS The density distributions of edema and subcutaneous adipose tissue are represented as a two-class Gaussian mixture model (GMM). In previous work, edema regions were segmented by selecting voxels with density values within the edema density distribution. This work improves upon the prior work by generating an adipose tissue mask without edema through a conditional generative adversarial network. The density distribution of the generated mask was imported into a Chan-Vese level set framework. Edema and subcutaneous adipose tissue are separated by iteratively updating their respective density distributions. RESULTS Validation results on 25 patients with edema showed that the segmentation accuracy significantly improved. Compared to GMM, the average Dice Similarity Coefficient increased from 56.0 to 61.7% ([Formula: see text]) and the relative volume difference decreased from 36.5 to 30.2% ([Formula: see text]). CONCLUSION The generated adipose tissue density prior improved edema segmentation accuracy. Accurate edema volume measurement may prove clinically useful.
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Affiliation(s)
- Jianfei Liu
- Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA.
| | - Omid Shafaat
- Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Sayantan Bhadra
- Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Christopher Parnell
- Diagnostic Radiology, Walter Reed National Military Medical Center, Bethesda, MD, 20889, USA
| | - Ayden Harris
- Diagnostic Radiology, Walter Reed National Military Medical Center, Bethesda, MD, 20889, USA
| | - Ronald M Summers
- Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA
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Haueise T, Schick F, Stefan N, Machann J. Comparison of the accuracy of commercial two-point and multi-echo Dixon MRI for quantification of fat in liver, paravertebral muscles, and vertebral bone marrow. Eur J Radiol 2024; 172:111359. [PMID: 38325186 DOI: 10.1016/j.ejrad.2024.111359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 02/03/2024] [Indexed: 02/09/2024]
Abstract
PURPOSE Excess fat accumulation contributes significantly to metabolic dysfunction and diseases. This study aims to systematically compare the accuracy of commercially available Dixon techniques for quantification of fat fraction in liver, skeletal musculature, and vertebral bone marrow (BM) of healthy individuals, investigating biases and sex-specific influences. METHOD 100 healthy White individuals (50 women) underwent abdominal MRI using two-point and multi-echo Dixon sequences. Fat fraction (FF), proton density fat fraction (PDFF) and T2* values were calculated for liver, paravertebral muscles (PVM) and vertebral BM (Th8-L5). Agreement and systematic deviations were assessed using linear correlation and Bland-Altman plots. RESULTS High correlations between FF and PDFF were observed in liver (r = 0.98 for women; r = 0.96 for men), PVM (r = 0.92 for women; r = 0.93 for men) and BM (r = 0.97 for women; r = 0.95 for men). Relative deviations between FF and PDFF in liver (18.92 % for women; 13.32 % for men) and PVM (1.96 % for women; 11.62 % for men) were not significant. Relative deviations in BM were significant (38.13 % for women; 27.62 % for men). Bias correction using linear models reduced discrepancies. T2* times were significantly shorter in BM (8.72 ms for women; 7.26 ms for men) compared to PVM (13.45 ms for women; 13.62 ms for men) and liver (29.47 ms for women; 26.35 ms for men). CONCLUSION While no significant differences were observed for liver and PVM, systematic errors in BM FF estimation using two-point Dixon imaging were observed. These discrepancies - mainly resulting from organ-specific T2* times - have to be considered when applying two-point Dixon approaches for assessment of fat content. As suitable correction tools, linear models could provide added value in large-scale epidemiological cohort studies. Sex-specific differences in T2* should be considered.
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Affiliation(s)
- Tobias Haueise
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Munich at the University of Tübingen, Tübingen, Germany; German Center for Diabetes Research (DZD), Tübingen, Germany
| | - Fritz Schick
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Munich at the University of Tübingen, Tübingen, Germany; German Center for Diabetes Research (DZD), Tübingen, Germany; Section on Experimental Radiology, Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany
| | - Norbert Stefan
- German Center for Diabetes Research (DZD), Tübingen, Germany; Section on Experimental Radiology, Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany; Department of Diabetology, Endocrinology and Nephrology, University Hospital Tübingen, Tübingen, Germany
| | - Jürgen Machann
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Munich at the University of Tübingen, Tübingen, Germany; German Center for Diabetes Research (DZD), Tübingen, Germany; Section on Experimental Radiology, Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany.
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Lan Y, Shang J, Ma Y, Zhen Y, Dang Y, Ren D, Liu T, Ju R, Guo N, Wang X, Hou Y. A new predictor of coronary artery disease in acute ischemic stroke or transient ischemic attack patients: pericarotid fat density. Eur Radiol 2024; 34:1667-1676. [PMID: 37672057 DOI: 10.1007/s00330-023-10046-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 06/19/2023] [Accepted: 06/22/2023] [Indexed: 09/07/2023]
Abstract
OBJECTIVES The study aims to evaluate the incremental predictive value of pericarotid fat density (PFD) on head and neck computed tomography angiography (CTA) for the obstructive coronary artery disease (CAD) (≥ 50% stenosis) relative to a clinical risk model (Framingham risk score (FRS)) and the degree of carotid artery stenosis and plaque type in acute ischemic stroke (AIS) or transient ischemic attack (TIA) patients without a known history of CAD. METHODS In a cohort of 134 consecutive stable patients diagnosed with AIS or TIA undergoing head and neck CTA between January 2010 and December 2021, pericarotid adipose tissue density (PFD) was quantified using a dedicated software. We collected demographic and clinical data, assessed the risk of CAD using the FRS, and analyzed coronary and carotid artery CTA images. Univariate and multivariate logistic regression analyses were performed to assess associations between FRS, PFD, CTA variables, and obstructive CAD risk. Four prediction models were established to evaluate the incremental predictive value of PFD relative to FRS, stenosis degree, and plaque types. Receiver operating characteristic (ROC) curves were generated, and the areas under the curves (AUC) were compared. RESULTS Increasing FRS, stenosis degree, and PFD values were positively correlated with obstructive CAD (all p < 0.05). In the predictive models for obstructive CAD, the model incorporating carotid stenosis exhibited superior predictive performance compared to FRS alone (p < 0.05). Moreover, the predictive model integrating PFD demonstrated enhanced performance and yielded the highest AUC of the receiver operator characteristic curve (AUC = 0.783), with sensitivity and specificity values of 86.89% and 65.75%, respectively. CONCLUSION CTA-derived PFD measurements offer supplementary predictive value for obstructive CAD beyond FRS and stenosis, thereby facilitating improved risk stratification of TIA or stroke patients without a history of CAD history. CLINICAL RELEVANCE STATEMENT CTA-derived PFD provides incremental predictive value for obstructive coronary artery disease in acute ischemic stroke or transient ischemic attack patients without CAD history, beyond Framingham risk score and carotid artery stenosis degree, improving risk stratification. KEY POINTS • Pericarotid fat density is associated with obstructive coronary artery disease in acute ischemic stroke or transient ischemic attack patients. • Higher pericarotid fat density corresponds to an increased risk of obstructive coronary artery disease. • Estimation of pericarotid fat density using computed tomography angiography imparts additional predictive value for obstructive CAD in risk stratification of acute ischemic stroke or transient ischemic attack patients.
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Affiliation(s)
- Yu Lan
- Department of Radiology, Shengjing Hospital of China Medical University, No. 36, Sanhao Street, Heping District, Shenyang, 110004, Liaoning Province, China
| | - Jin Shang
- Department of Radiology, Shengjing Hospital of China Medical University, No. 36, Sanhao Street, Heping District, Shenyang, 110004, Liaoning Province, China
| | - Yue Ma
- Department of Radiology, Shengjing Hospital of China Medical University, No. 36, Sanhao Street, Heping District, Shenyang, 110004, Liaoning Province, China
| | - Yanhua Zhen
- Department of Radiology, Shengjing Hospital of China Medical University, No. 36, Sanhao Street, Heping District, Shenyang, 110004, Liaoning Province, China
| | - Yuxue Dang
- Department of Radiology, Shengjing Hospital of China Medical University, No. 36, Sanhao Street, Heping District, Shenyang, 110004, Liaoning Province, China
| | - Dongqing Ren
- Department of Radiology, The People's Hospital of Liaoning Province, No. 33, Wenyi Road, Shenyang, 110004, Liaoning Province, China
| | - Ting Liu
- Department of Radiology, First Affiliated Hospital of China Medical University, No. 155, Nanjing North Street, Heping District, Shenyang, 110004, Liaoning Province, China
| | - Ronghui Ju
- Department of Radiology, The People's Hospital of Liaoning Province, No. 33, Wenyi Road, Shenyang, 110004, Liaoning Province, China
| | - Ning Guo
- Clinical Research, Philips Healthcare, No. 1 Jiuxianqiao East Road, Chaoyang District, Beijing, 100021, China
| | - Ximing Wang
- Department of Radiology, Shandong Provincial Hospital, Affiliated to Shandong First Medical University, No. 324, Jingwu Road, Jinan City, 250000, Shandong Province, China
| | - Yang Hou
- Department of Radiology, Shengjing Hospital of China Medical University, No. 36, Sanhao Street, Heping District, Shenyang, 110004, Liaoning Province, China.
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Liu Y, Zhao Y, Guo Z, Zhang Y, Miao C, Gu Y. A novel predictive model based on pericarotid adipose tissue and lumen stenosis for stroke risk in patients with asymptomatic carotid stenosis. J Investig Med 2024; 72:270-278. [PMID: 38183206 DOI: 10.1177/10815589241226728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2024]
Abstract
The study aimed to investigate the predictive value of clinical characteristics, major computed tomography angiography (CTA) indexes of carotid AS (carotid lumen stenosis and plaque burden), and inflammatory pericarotid adipose tissue for acute stroke risk in patients with a moderate or higher degree of carotid stenosis. In all, 119 patients with unilateral carotid stenosis who underwent head and neck computed tomography angiography were included and assigned to the stroke group or non-stroke group according to magnetic resonance imaging. Pericarotid adipose tissue attenuation value, net enhancement value in the base phase and the enhancement phase, and atherosclerotic features (plaque burden and lumen stenosis) were recorded. Multivariate logistic regression analysis and the operating characteristic curve (ROC) were performed to establish a predictive model for the presence of acute ischemic stroke. ROC analysis showed that pericarotid adipose tissue attenuation value and lumen stenosis were predictive factors for stroke. The AUC of pericarotid adipose tissue attenuation (PCAT) attenuation, lumen stenosis, the novel prediction model independently constructed based on PCAT attenuation, and lumen stenosis resulted in 0.838 (95% CI 0.759-0.899), 0.700 (95% CI 0.826-0.944), and 0.942 (95% CI 0.884-0.977), respectively. The model had a sensitivity and specificity of 0.909 and 0.893, respectively, when the cutoff value was 0.388. We found that the risk model combining pericarotid adipose tissue attenuation value and lumen stenosis has significant predictive values for the presence of symptomatic stroke among patients with a moderate or higher degree of carotid stenosis.
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Affiliation(s)
- Ying Liu
- Department of Radiology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu, P. R. China
| | - Yinan Zhao
- Department of Radiology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu, P. R. China
| | - Zhongping Guo
- Department of Radiology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu, P. R. China
| | - Yonggang Zhang
- Department of Radiology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu, P. R. China
| | - Chongchang Miao
- Department of Radiology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu, P. R. China
| | - Yan Gu
- Department of Radiology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu, P. R. China
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Peeters NHC, van der Kraats AM, van der Krieken TE, van Iersel D, Janssen ERC, Heerspink FOL. The validity of ultrasound and shear wave elastography to assess the quality of the rotator cuff. Eur Radiol 2024; 34:1971-1978. [PMID: 37646806 PMCID: PMC10873448 DOI: 10.1007/s00330-023-10037-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 05/12/2023] [Accepted: 06/17/2023] [Indexed: 09/01/2023]
Abstract
OBJECTIVES US with shear wave elastography (SWE) could reduce the burden and costs of the diagnostic process for patients with rotator cuff disorders. The aim of this study is to investigate the validity of US and SWE in preoperative assessment of fatty infiltration (FI) and muscle atrophy of the supraspinatus (SSP) and infraspinatus (ISP) muscles. METHODS Patients with a rotator cuff disorder and a recent shoulder CT or MRI scan were eligible to participate. Goutallier and Warner stages of the SSP and ISP muscle were measured on the scan, for assessment of FI and muscle atrophy, respectively. These findings were compared with shear wave velocities (SWVs) assessed on US. Visual assessment of FI on US was compared with the Goutallier stage. To quantify the amount of muscle atrophy, the occupation ratio between SSP fossa and muscle was measured on MRI and US. RESULTS Seventy-eight shoulders were included in the analysis. The correlation found between the occupation ratio on US and Warner and Goutallier stage and ratio on MRI ranged between r = - 0.550 to 0.589. The Goutallier stage of ISP and SSP muscle assessed on US showed a fair correlation with the Goutallier stage on a scan of r = 0.574 and r = 0.582, respectively. There was a poor correlation between the SWVs and scan results (r = - 0.116 to 0.07). CONCLUSION SWE is not a valid method to measure the amount of FI or muscle atrophy in the SSP muscle. Therefore, SWE is not a suitable alternative for MRI in standard preoperative diagnostics in rotator cuff pathologies. CLINICAL RELEVANCE STATEMENT Shear wave elastography should not be used in the diagnostics of rotator cuff pathologies. KEY POINTS • There is a fair correlation between the Goutallier stage of the supraspinatus and infraspinatus muscle assessed on MRI and CT and visual assessment of fatty infiltration achieved on US. • Shear wave elastography is not a valid tool for the determination of the amount of fatty infiltration or muscle atrophy. • Shear wave elastography should not be used as a cheaper and less burdensome alternative for diagnostics in rotator cuff pathologies.
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Affiliation(s)
- Nina H C Peeters
- Department of Radiology, VieCuri Medical Center, Venlo, The Netherlands
| | - Annick M van der Kraats
- Department of Orthopaedic Surgery, VieCuri Medical Center, Tegelseweg 210, 5912 BL, Venlo, The Netherlands
| | | | - Dave van Iersel
- Department of Radiology, VieCuri Medical Center, Venlo, The Netherlands
| | - Esther R C Janssen
- Department of Orthopaedic Surgery, VieCuri Medical Center, Tegelseweg 210, 5912 BL, Venlo, The Netherlands.
- Department of Orthopaedic Surgery, Maastricht University Medical Center+, Maastricht, The Netherlands.
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Guldberg E, Diederichsen SZ, Haugan KJ, Brandes A, Graff C, Krieger D, Olesen MS, Højberg S, Køber L, Vejlstrup N, Bertelsen L, Svendsen JH. Epicardial adipose tissue and subclinical incident atrial fibrillation as detected by continuous monitoring: a cardiac magnetic resonance imaging study. Int J Cardiovasc Imaging 2024; 40:591-599. [PMID: 38245893 PMCID: PMC10951027 DOI: 10.1007/s10554-023-03029-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 11/30/2023] [Indexed: 01/23/2024]
Abstract
Epicardial adipose tissue (EAT) has endocrine and paracrine functions and has been associated with metabolic and cardiovascular disease. This study aimed to investigate the association between EAT, determined by cardiac magnetic resonance imaging (CMR), and incident atrial fibrillation (AF) following long-term continuous heart rhythm monitoring by implantable loop recorder (ILR). This study is a sub-study of the LOOP study. In total, 203 participants without a history of AF received an ILR and underwent advanced CMR. All participants were at least 70 years of age at inclusion and had at least one of the following conditions: hypertension, diabetes, previous stroke, or heart failure. Volumetric measurements of atrial- and ventricular EAT were derived from CMR and the time to incident AF was subsequently determined. A total of 78 participants (38%) were diagnosed with subclinical AF during a median of 40 (37-42) months of continuous monitoring. In multivariable Cox regression analyses adjusted for age, sex, and various comorbidities, we found EAT indexed to body surface area to be independently associated with the time to AF with hazard ratios (95% confidence intervals) up to 2.93 (1.36-6.34); p = 0.01 when analyzing the risk of new-onset AF episodes lasting ≥ 24 h. Atrial EAT assessed by volumetric measurements on CMR images was significantly associated with the incident AF episodes as detected by ILR.
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Affiliation(s)
- Eva Guldberg
- Department of Cardiology, Copenhagen University Hospital - Rigshospitalet, Inge Lehmanns Vej 7, 2100, Copenhagen, Denmark.
| | - Søren Zöga Diederichsen
- Department of Cardiology, Copenhagen University Hospital - Rigshospitalet, Inge Lehmanns Vej 7, 2100, Copenhagen, Denmark
| | - Ketil Jørgen Haugan
- Department of Cardiology, Zealand University Hospital - Roskilde, Roskilde, Denmark
| | - Axel Brandes
- Department of Cardiology, Odense University Hospital, Odense, Denmark
- Faculty of Health Sciences, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Cardiology, Esbjerg Hospital - University Hospital of Southern Denmark, Esbjerg, Denmark
| | - Claus Graff
- Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Derk Krieger
- Mohammed Bin Rashid University, Mediclinic Parkview Hospital, Dubai, UAE
| | - Morten Salling Olesen
- Laboratory for Molecular Cardiology, Department of Cardiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Søren Højberg
- Department of Cardiology, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Lars Køber
- Department of Cardiology, Copenhagen University Hospital - Rigshospitalet, Inge Lehmanns Vej 7, 2100, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Niels Vejlstrup
- Department of Cardiology, Copenhagen University Hospital - Rigshospitalet, Inge Lehmanns Vej 7, 2100, Copenhagen, Denmark
| | - Litten Bertelsen
- Department of Cardiology, Copenhagen University Hospital - Rigshospitalet, Inge Lehmanns Vej 7, 2100, Copenhagen, Denmark
| | - Jesper Hastrup Svendsen
- Department of Cardiology, Copenhagen University Hospital - Rigshospitalet, Inge Lehmanns Vej 7, 2100, Copenhagen, Denmark
- Laboratory for Molecular Cardiology, Department of Cardiology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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Yıldız AB, Vehbi S, Copur S, Gurses B, Siriopol D, Karakaya BAD, Hasbal NB, Tekin B, Akyıldız M, van Raalte DH, Cozzolino M, Kanbay M. Kidney and liver fat accumulation: from imaging to clinical consequences. J Nephrol 2024; 37:483-490. [PMID: 38133740 DOI: 10.1007/s40620-023-01824-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 10/24/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND Recent studies indicate that accumulation of adipose tissue in various organs such as liver and kidney may contribute to the pathophysiology of metabolic syndrome. We aim to investigate the association between kidney and liver adipose tissue accumulation, assessed by the magnetic resonance imaging (MRI) proton density fat fraction technique, along with its relation to clinical and biochemical parameters. METHODS We included 51 volunteers with phenotypical features of metabolic syndrome (mean age = 34 years, mean body-mass index = 26.4 kg/m2) in our study in which liver and kidney adipose tissue accumulation was assessed via MRI-proton density fat fraction along with multiple other clinical and biochemical parameters such as estimated glomerular filtration rate (eGFR), urine albumin-to-creatinine ratio, serum lipid profile, liver function tests and body-mass index (BMI). RESULTS Our results from the univariate linear regression analysis indicate that both the kidney and liver scores were positively correlated with markers such as BMI, urine albumin-to-creatinine ratio, triglycerides (p < 0.001) and negatively correlated with eGFR (p < 0.05). In multivariate analysis, urine albumin-to-creatinine ratio (p < 0.05), triglycerides (p < 0.01), eGFR (p < 0.05) and BMI (p < 0.001) were found to be independently associated with kidney and liver fat accumulation, respectively (R2 = 0.64; R2 = 0.89). There was also a positive correlation between kidney and liver fat accumulation. CONCLUSION We have found a significant association between adipose tissue accumulation in liver and kidney and the parameters of metabolic syndrome. Moreover, the presence of a strong association between kidney and liver fat accumulation and kidney function parameters such as urine albumin-to-creatinine ratio and eGFR may be an indicator of the clinical significance of parenchymal fat accumulation.
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Affiliation(s)
- Abdullah B Yıldız
- Department of Medicine, Koc University School of Medicine, Istanbul, Turkey
| | - Sezan Vehbi
- Department of Medicine, Koc University School of Medicine, Istanbul, Turkey
| | - Sidar Copur
- Department of Medicine, Koc University School of Medicine, Istanbul, Turkey
| | - Bengi Gurses
- Department of Radiology, Koc University School of Medicine, Istanbul, Turkey
| | - Dimitrie Siriopol
- Department of Nephrology, "Saint John the New" County Hospital, "Stefan Cel Mare" University of Suceava, Suceava, Romania
| | | | - Nuri B Hasbal
- Division of Nephrology, Department of Medicine, Koc University School of Medicine, 34010, Istanbul, Turkey
| | - Bahar Tekin
- Department of Medicine, Koc University School of Medicine, Istanbul, Turkey
| | - Murat Akyıldız
- Division of Gastroenterology, Department of Medicine, Koc University School of Medicine, Istanbul, Turkey
| | - Daniel H van Raalte
- Diabetes Center, Department of Internal Medicine, Amsterdam University Medical Centers, Location VUMC, Amsterdam, The Netherlands
| | - Mario Cozzolino
- Renal Division, Department of Health Sciences, University of Milan, Milan, Italy
| | - Mehmet Kanbay
- Division of Nephrology, Department of Medicine, Koc University School of Medicine, 34010, Istanbul, Turkey.
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Zoabi A, Bentov-Arava E, Sultan A, Elia A, Shalev O, Orevi M, Gofrit ON, Margulis K. Adipose tissue composition determines its computed tomography radiodensity. Eur Radiol 2024; 34:1635-1644. [PMID: 37656176 DOI: 10.1007/s00330-023-09911-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Revised: 05/01/2023] [Accepted: 05/03/2023] [Indexed: 09/02/2023]
Abstract
OBJECTIVES Adipose tissue radiodensity in computed tomography (CT) performed before surgeries can predict surgical difficulty. Despite its clinical importance, little is known about what influences radiodensity. This study combines desorption electrospray ionization mass spectrometry imaging (DESI-MSI) and electrospray ionization (ESI) with machine learning to unveil how chemical composition of adipose tissue determines its radiodensity. METHODS Patients in the study underwent abdominal surgeries. Before surgery, CT radiodensity of fat near operated sites was measured. Fifty-three fat samples were collected and analyzed by DESI-MSI, ESI, and histology, and then sorted by radiodensity, demographic parameters, and adipocyte size. A non-negative matrix factorization (NMF) algorithm was developed to differentiate between high and low radiodensities. RESULTS No associations between radiodensity and patient age, gender, weight, height, or fat origin were found. Body mass index showed negative correlation with radiodensity. A substantial difference in chemical composition between adipose tissues of high and low radiodensities was observed. More radiodense tissues exhibited greater abundance of high molecular weight species, such as phospholipids of various types, ceramides, cholesterol esters and diglycerides, and about 70% smaller adipocyte size. Less radiodense tissue showed high abundance of short acyl-tail fatty acids. CONCLUSIONS This study unveils the connection between abdominal adipose tissue radiodensity and its chemical composition. Because the radiodensity of the fat around the surgical site is associated with surgical difficulty, it is important to understand how adipose tissue composition affects this parameter. We conclude that fat tissue with a higher content of various phospholipids and waxy lipids is more CT radiodense. CLINICAL RELEVANCE STATEMENT This study establishes the connection between the CT radiodensity of adipose tissue and its chemical composition. Clinicians may use this information for preoperative planning of surgical procedures, potentially modifying their surgical approach (for example, performing partial nephrectomy openly rather than laparoscopically). KEY POINTS • Adipose tissue radiodensity values in computed tomography images taken prior to the surgery can potentially predict surgery difficulty. • Fifty-three human specimens were analyzed by advanced mass spectrometry, molecular imaging, and machine learning to establish the key features that determine Hounsfield units' values of adipose tissue. • The findings of this research will enable clinicians to better prepare for surgical procedures and select operative strategies.
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Affiliation(s)
- Amani Zoabi
- The Institute for Drug Research, the School of Pharmacy, the Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Einav Bentov-Arava
- The Institute for Drug Research, the School of Pharmacy, the Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Adan Sultan
- The Institute for Drug Research, the School of Pharmacy, the Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Anna Elia
- Department of Pathology, Hadassah Medical Center, the Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Ori Shalev
- Metabolomics Center, Core Research Facility, the Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Marina Orevi
- Nuclear Medicine, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Ofer N Gofrit
- Department of Urology, Hadassah Medical Center the Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Katherine Margulis
- The Institute for Drug Research, the School of Pharmacy, the Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.
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Özbalcı D, Erdoğan M, Alanoğlu EG, Şengül SS, Yüceer K, Eroğlu HN, Yağcı S. Adipose tissue indices predict prognosis in hodgkin lymphoma. Leuk Res 2024; 138:107457. [PMID: 38382169 DOI: 10.1016/j.leukres.2024.107457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 02/05/2024] [Accepted: 02/08/2024] [Indexed: 02/23/2024]
Abstract
INTRODUCTION BACKGROUND This study evaluated the impact of adipose tissue indices on prognosis of HL. METHODS Fifty-five patients with newly diagnosed Hodgkin Lymphoma were evaluated retrospectively for association with adipose tissue indices (total abdominal tissue volume, radiodensity, subcutaneous and visceral adipose tissue SUVmax value and prognostic factors for Hodgkin Lymphoma such as IPS-3, IPS-7, stage, sedimentation, progression free and overall survival. RESULTS For IPS-3, SAT SUVmax and TAAT radiodensity were significantly increased in high-risk patients (2and 3) compared to group 0 and 1. For IPS-7, total abdominal adipose volume was significantly decreased in high-risk patients, SAT SUVmax significantly increased in high-risk patients and decreased in low-risk patients. In addition, SAT SUVmax was significantly increased in patients with high sedimentation rate, with B symptoms and who passed away during follow-up. SAT SUVmax showed moderate positive correlation with sedimentation, IPS-3, IPS-7, and stage. In addition, it was observed that TAAT radiodensity and SAT SUVmax were significantly better for determining prognosis than other adipose tissue indices. Roc analysis showed that the diagnostic value of all adipose tissue indices in predicting IPS-3 and IPS-7 prognoses were statistically significant. CONCLUSION SAT SUVmax and TAAT radiodensity were two new and independent markers with diagnostic value in predicting prognosis.
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Affiliation(s)
- Demircan Özbalcı
- Suleyman Demirel University School of Medicine Department of Hematology.
| | - Mehmet Erdoğan
- Suleyman Demirel University School of Medicine Department of Nuclear Medicine
| | | | | | - Kamuran Yüceer
- Suleyman Demirel University School of Medicine Department of Internal Medicine
| | - Hande Nur Eroğlu
- Suleyman Demirel University School of Medicine Department of Public Health
| | - Samet Yağcı
- Suleyman Demirel University School of Medicine Department of Nuclear Medicine
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da Silva Rocha A, Bernardi JR, de Oliveira Neves R, de Matos S, Kretzer DC, Schöffel AC, Goldani MZ, de Azevedo Magalhães JA. Gestational diabetes mellitus early prediction by maternal body fat index: A cohort study. ENDOCRINOL DIAB NUTR 2024; 71:110-118. [PMID: 38555107 DOI: 10.1016/j.endien.2024.03.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 01/11/2024] [Indexed: 04/02/2024]
Abstract
OBJECTIVES To compare the performance of maternal body fat index (BFI) assessed during the first 20+6 weeks among 138 pregnant women in an ultrasound outpatient clinic as a predictor of gestational diabetes mellitus (GDM) later in pregnancy. METHOD Maternal visceral and subcutaneous fat was measured with a convex ultrasound probe placed in two locations on the maternal abdominal surface: the first in the mid-sagittal epigastric region, visualising epigastric fat, and the second 2cm above the maternal umbilical scar, visualising periumbilical fat. Ultrasound callipers measured the distance from dermal edge to the linea alba and after from the linea alba to the anterior hepatic surface (epigastric fat). Periumbilical fat was measured from the dermal edge to the linea alba and after from the linea alba to the anterior aortic surface. The BFI formula was [visceral adipose tissue (mm)×subcutaneous adipose tissue (mm)]/maternal height (cm). RESULTS The best thresholds for predicting GDM outcome for epigastric and periumbilical BFI were 1.2 and 4.8, respectively. Odds ratio, sensitivity and specificity were 5.88 (95% CI 1.86-18.6), 80.9%, 58.0% for the epigastric site and 6.31 (95% CI 1.73-22.94), 84.2%, 54.2% for the periumbilical site. Pre-pregnancy body mass index compatible with adult obesity shows inadequate predictive performance for GDM outcome. Only epigastric BFI above 1.2 maintained statistical significance for GDM in the logistic regression analysis, when compared to periumbilical BFI above 4.8. CONCLUSION Epigastric BFI above 1.2 during the first half of pregnancy may help identify women at risk of developing GDM later in pregnancy.
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Affiliation(s)
- Alexandre da Silva Rocha
- Assistant Professor of Gynaecology and Obstetrics, Universidade Federal de Ciências da Saúde de Porto Alegre, Brazil.
| | - Juliana Rombaldi Bernardi
- Department of Nutrition, Graduate Program in Child and Adolescent Health and Graduate Program in Food, Nutrition and Health, Hospital de Clínicas de Porto Alegre, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Renata de Oliveira Neves
- Graduate Program in Child and Adolescent Health, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Salete de Matos
- Graduate Program in Child and Adolescent Health, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Daniela Cortés Kretzer
- Graduate Program in Child and Adolescent Health, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Alice Carvalhal Schöffel
- Department of Social and Behavioural Health Sciences, Dalla Lana School of Public Health, University of Toronto, Canada
| | - Marcelo Zubaran Goldani
- Department of Paediatrics, Hospital de Clínicas de Porto Alegre, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - José Antônio de Azevedo Magalhães
- Maternal-Foetal Division (Head), Hospital de Clínicas de Porto Alegre, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
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Liu Y, Zhao Y, Guo Z, Li M, Shan H, Zhang Y, Miao C, Gu Y. Pericarotid Fat Stranding at Computed Tomography Angiography: A Marker of the Short-Term Prognosis of Acute Ischemic Stroke. J Comput Assist Tomogr 2024; 48:311-316. [PMID: 37876252 DOI: 10.1097/rct.0000000000001555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2023]
Abstract
PURPOSE Perivascular epicardial fat stranding detected in the coronary computed tomography (CT) angiography is associated with culprit lesions and provides helpful information on the risk of acute coronary syndrome. This study aimed to evaluate the potential clinical significance of pericarotid fat stranding (PCFS) and investigate the association between PCFS and short-term prognosis in acute stroke using head and neck CT angiography (CTA). METHODS This study included 80 patients (mean age, 69.69 ± 11.03; 58 men) who underwent both head and neck CTA and magnetic resonance imaging within a 1-week period. Baseline characteristics, pericarotid adipose tissue attenuation, plaque characteristics, ischemic penumbra, infarct core volume, infarct core growth rate (CGR), and the grade of collateral status were recorded and compared between a PCFS group and a non-PCFS group. Data were compared using the 2-sample t test, Mann-Whitney U test, Fisher exact test, and Spearman rank correlation analysis. RESULTS We found that patients with PCFS had a significantly higher pericarotid adipose tissue density than patients without PCFS (-55.75 ± 5.53 vs -65.82 ± 9.65, P < 0.001). Patients with PCFS showed a larger infarct core volume (166.43 ± 73.07 vs 91.43 ± 55.03, P = 0.001) and faster CGR (39.57 ± 12.01 vs 19.83 ± 32.77; P < 0.001), and the frequency of adverse prognosis was more significant than in control participants (83.33% vs 19.11%). CONCLUSIONS Individuals with PCFS showed higher CGR, which was substantially related to worse outcomes in patients with acute stroke with ipsilateral carotid atherosclerosis. Recognition of PCFS may help predict stroke prognosis and allow doctors to take early action to improve patient prognosis.
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Affiliation(s)
- Ying Liu
- From the Department of Radiology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, People's Republic of China
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Tomomori S, Suenari K, Sairaku A, Higaki T, Dai K, Oi K, Kawase T, Ohashi N, Nishioka K, Masaoka Y, Shiode N, Nakano Y. Prolonged PR intervals are associated with epicardial adipose tissue and recurrence after catheter ablation in persistent atrial fibrillation. Heart Vessels 2024; 39:232-239. [PMID: 37813984 DOI: 10.1007/s00380-023-02323-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 09/20/2023] [Indexed: 10/11/2023]
Abstract
Epicardial adipose tissue (EAT) has been reported to promote myocardial fibrosis and to affect intracardiac conduction. The PR interval reflects the conduction from the atria to the Purkinje fibers and may be associated with the EAT volume, especially in persistent atrial fibrillation (AF) patients. We aimed to investigate the relationship between the EAT and PR interval in patients with persistent AF. We enrolled 268 persistent AF patients who underwent catheter ablation (CA) and divided the patients into two groups: the normal PR interval group (PR interval less than 200 ms: Group N) and long PR interval group (PR interval 200 ms or more: Group L). We then analyzed the association between the total EAT volume around the heart and PR interval and calculated the ratio of the duration of the P wave (PWD) to the PR interval (PWD/PR interval). Moreover, we investigated whether a long PR interval was associated with the outcomes after ablation. The total EAT volume was significantly larger in Group L than Group N (Group N: 131.4 ± 51.8 ml vs. Group L: 151.3 ± 63.3 ml, p = 0.039). A positive correlation was also observed between the PWD/PR interval and EAT volume in Group L (r = 0.345, p = 0.039). A multivariate analysis also revealed that a long PR interval was independently associated with AF recurrence after CA (hazard ratio [HR] 2.071, p = 0.032). The total EAT volume was associated with a long PR interval, and a long PR interval was a significant risk factor for recurrence after ablation in persistent AF patients.
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Affiliation(s)
- Shunsuke Tomomori
- Department of Cardiology, Hiroshima City Hiroshima Citizens Hospital, 7-33 Motomachi, Nakaku, Hiroshima, 730-8518, Japan.
| | - Kazuyoshi Suenari
- Department of Cardiology, Hiroshima City Hiroshima Citizens Hospital, 7-33 Motomachi, Nakaku, Hiroshima, 730-8518, Japan
| | - Akinori Sairaku
- Department of Cardiology, Hiroshima City Hiroshima Citizens Hospital, 7-33 Motomachi, Nakaku, Hiroshima, 730-8518, Japan
| | - Tadanao Higaki
- Department of Cardiology, Hiroshima City Hiroshima Citizens Hospital, 7-33 Motomachi, Nakaku, Hiroshima, 730-8518, Japan
| | - Kazuoki Dai
- Department of Cardiology, Hiroshima City Hiroshima Citizens Hospital, 7-33 Motomachi, Nakaku, Hiroshima, 730-8518, Japan
| | - Kuniomi Oi
- Department of Cardiology, Hiroshima City Hiroshima Citizens Hospital, 7-33 Motomachi, Nakaku, Hiroshima, 730-8518, Japan
| | - Tomoharu Kawase
- Department of Cardiology, Hiroshima City Hiroshima Citizens Hospital, 7-33 Motomachi, Nakaku, Hiroshima, 730-8518, Japan
| | - Norihiko Ohashi
- Department of Cardiology, Hiroshima City Hiroshima Citizens Hospital, 7-33 Motomachi, Nakaku, Hiroshima, 730-8518, Japan
| | - Kenji Nishioka
- Department of Cardiology, Hiroshima City Hiroshima Citizens Hospital, 7-33 Motomachi, Nakaku, Hiroshima, 730-8518, Japan
| | - Yoshiko Masaoka
- Department of Cardiology, Hiroshima City Hiroshima Citizens Hospital, 7-33 Motomachi, Nakaku, Hiroshima, 730-8518, Japan
| | - Nobuo Shiode
- Department of Cardiology, Hiroshima City Hiroshima Citizens Hospital, 7-33 Motomachi, Nakaku, Hiroshima, 730-8518, Japan
| | - Yukiko Nakano
- Department of Cardiovascular Medicine, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima, Japan
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Affiliation(s)
- Swasthi S Kumar
- Cardiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India
| | - Sudipta Mondal
- Cardiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India
| | - Vishnu Kesavan
- Cardiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India
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Barrio-Lopez MT, Ruiz-Canela M, Goni L, Valiente AM, Garcia SR, de la O V, Anton BD, Fernandez-Friera L, Castellanos E, Martínez-González MA, Almendral J. Mediterranean diet and epicardial adipose tissue in patients with atrial fibrillation treated with ablation: a substudy of the 'PREDIMAR' trial. Eur J Prev Cardiol 2024; 31:348-355. [PMID: 37950920 DOI: 10.1093/eurjpc/zwad355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 08/21/2023] [Accepted: 11/07/2023] [Indexed: 11/13/2023]
Abstract
AIMS To analyse the relationship between Mediterranean diet (MedDiet) adherence and epicardial adipose tissue (EAT) in patients with atrial fibrillation (AF) and the association between EAT or MedDiet adherence at baseline with AF recurrence after ablation. METHODS AND RESULTS We included 199 patients from the PREDIMAR trial (PREvención con DIeta Mediterránea de Arritmias Recurrentes), in a single centre in this substudy. All of them had a computed tomography with EAT measurement. Lifestyle and clinical characteristics were obtained at baseline. The traditional MedDiet pattern was defined according to the MedDiet Adherence Screener (MEDAS). Any documented AF > 30 s after ablation was considered a recurrence. Multivariable-adjusted linear and logistic regression models were run to assess the cross-sectional association of MedDiet with EAT, and of EAT with the AF type at baseline. Also, Cox regression models were used to prospectively assess the associations of MedDiet adherence and EAT with AF recurrences after ablation. Median EAT was 135 g (interquartile range: 112-177), and the mean MedDiet score was 7.75 ± 2 points. A higher MEDAS ≥ 7 that was associated with lower odds of an EAT ≥ 135 g [multivariable odds ratio (mOR) = 0.45; 95% CI = 0.22-0.91; P = 0.025] was significantly associated with persistent AF after adjusting for traditional risk factors (mOR: 2.22; 95% CI: 1.03-4.79; P = 0.042). No significant associations were observed between EAT ≥ 135 g and the risk of atrial tachyarrhythmia recurrences after ablation [multivariable-adjusted hazard ratio (mHR) = 1.18; 95% CI: 0.72-1.94; P = 0.512], or between MEDAS ≥ 7 and AF recurrence (mHR = 0.78; 95% CI: 0.47-1.31; P = 0.344). CONCLUSION In patients with AF, higher adherence to MedDiet is associated with a significantly lower amount of EAT. Epicardial adipose tissue ≥ 135 g was significantly associated with persistent AF.
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Affiliation(s)
- María Teresa Barrio-Lopez
- Electrophysiology Laboratory and Arrhythmia Unit, Centro integral de Enfermedades Cardiovasculares (HM CIEC), Hospital Universitario HM Monteprincipe, HM Hospitales, Avda Monteprincipe 25, 28660 Madrid, Spain
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA (Instituto de Investigación Sanitaria de Navarra), Pamplona, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Leticia Goni
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA (Instituto de Investigación Sanitaria de Navarra), Pamplona, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Almudena Martinez Valiente
- Cardiac Imagine Unit, Centro integral de Enfermedades Cardiovasculares (HM CIEC), Hospital Universitario HM Monteprincipe, HM Hospitales, Madrid, Spain
| | - Silvia Romero Garcia
- Cardiac Imagine Unit, Centro integral de Enfermedades Cardiovasculares (HM CIEC), Hospital Universitario HM Monteprincipe, HM Hospitales, Madrid, Spain
| | - Víctor de la O
- IMDEA-Food Institute (Madrid Institute for Advances Studies), Campus of International Excellence (CEI), 28040 Madrid, Spain
| | - Belen Diaz Anton
- Cardiac Imagine Unit, Centro integral de Enfermedades Cardiovasculares (HM CIEC), Hospital Universitario HM Monteprincipe, HM Hospitales, Madrid, Spain
| | - Leticia Fernandez-Friera
- Cardiac Imagine Unit, Centro integral de Enfermedades Cardiovasculares (HM CIEC), Hospital Universitario HM Monteprincipe, HM Hospitales, Madrid, Spain
| | - Eduardo Castellanos
- Electrophysiology Laboratory and Arrhythmia Unit, Centro integral de Enfermedades Cardiovasculares (HM CIEC), Hospital Universitario HM Monteprincipe, HM Hospitales, Avda Monteprincipe 25, 28660 Madrid, Spain
| | - Miguel Angel Martínez-González
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA (Instituto de Investigación Sanitaria de Navarra), Pamplona, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Jesus Almendral
- Electrophysiology Laboratory and Arrhythmia Unit, Centro integral de Enfermedades Cardiovasculares (HM CIEC), Hospital Universitario HM Monteprincipe, HM Hospitales, Avda Monteprincipe 25, 28660 Madrid, Spain
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Durán Vega HC, Manzaneda R, Flores E, Manfrim C, Morelli H. Deep Back Liposuction: Ultrasound-Guided Deep Fat Liposuction of the Subiliac Crest. Aesthet Surg J 2024; 44:296-301. [PMID: 37474316 DOI: 10.1093/asj/sjad236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Revised: 07/03/2023] [Accepted: 07/06/2023] [Indexed: 07/22/2023] Open
Abstract
In the past 5 years, aesthetic surgery of the buttock has changed a lot with the use of technologies like imaging ultrasound to get safer and more beautiful results. These techniques are not only used to make a safer fat infiltration in the buttock, but also for modeling it. The aim of this study was to describe ultrasound-guided subiliac crest deep fat liposuction for contouring the buttock-back region. This area is often overlooked in gluteal frame management because of the depth at which it is located. Healthy patients were chosen for whom this deep back ultrasound technique was performed to improve the gluteal frame. The technique involved making a small incision in the iliac crest of the ilium, followed by identification of the area of deep posterior fat below the iliac crest under ultrasonographic control. A cannula was positioned to deliver static tumescent infiltration and liposuction was performed. This study included 16 female patients aged 20 to 45 years old who underwent this procedure. The area was infiltrated with 150 to 200 mL of tumescent solution per side, and 175 to 200 mL of fat was obtained. The depth of the study area varied but was observed to be generally located between 3 and 5 cm from the skin. This study indicates that this technique is safe and effective in achieving aspiration of the subiliac crest deep fat, which enhances the frame for buttock-back contouring. Ultrasound was indispensable for locating the fat and infiltrating the area for subsequent liposuction.See the abstract translated into Hindi, Portuguese, Korean, German, Italian, Arabic, Chinese, and Taiwanese online here: https://doi.org/10.1093/asj/sjad236. LEVEL OF EVIDENCE: 4
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Mai J, Wu Q, Wu H, Zeng C, Li Y, Shang J, Wu B, Cai Q, Du J, Gong J. Assessment of whole-body and regional body fat using abdominal quantitative computed tomography in Chinese women and men. Lipids Health Dis 2024; 23:47. [PMID: 38355592 PMCID: PMC10865662 DOI: 10.1186/s12944-024-02034-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 01/29/2024] [Indexed: 02/16/2024] Open
Abstract
BACKGROUND Being overweight or obese has become a serious public health concern, and accurate assessment of body composition is particularly important. More precise indicators of body fat composition include visceral adipose tissue (VAT) mass and total body fat percentage (TBF%). Study objectives included examining the relationships between abdominal fat mass, measured by quantitative computed tomography (QCT), and the whole-body and regional fat masses, measured by dual energy X-ray absorptiometry (DXA), as well as to derive equations for the prediction of TBF% using data obtained from multiple QCT slices. METHODS Whole-body and regional fat percentage were quantified using DXA in Chinese males (n = 68) and females (n = 71) between the ages of 24 and 88. All the participants also underwent abdominal QCT measurement, and their VAT mass and visceral fat volume (VFV) were assessed using QCT and DXA, respectively. RESULTS DXA-derived TBF% closely correlated with QCT abdominal fat percentage (r = 0.89-0.93 in men and 0.76-0.88 in women). Stepwise regression showed that single-slice QCT data were the best predictors of DXA-derived TBF%, DXA android fat percentage and DXA gynoid fat percentage. Cross-validation analysis showed that TBF% and android fat percentage could be accurately predicted using QCT data in both sexes. There were close correlations between QCT-derived and DXA-derived VFV (r = 0.97 in men and 0.93 in women). CONCLUSION Clinicians can assess the TBF% and android and gynoid fat percentages of Chinese women and men by analysing existing abdominal CT-derived data using the QCT technique.
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Affiliation(s)
- Jinci Mai
- Department of Nuclear Medicine, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Qiulian Wu
- School of Nursing, Jinan University, Guangzhou, China
| | - Huanhua Wu
- Department of Nuclear Medicine, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Chunyuan Zeng
- Department of Nuclear Medicine, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Yingxin Li
- Department of Nuclear Medicine, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Jingjie Shang
- Department of Nuclear Medicine, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Biao Wu
- Department of Nuclear Medicine, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Qijun Cai
- Department of Nuclear Medicine, First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Junbi Du
- Department of Clinical Medicine, International College, Jinan University, Guangzhou, China
| | - Jian Gong
- Department of Nuclear Medicine, First Affiliated Hospital, Jinan University, Guangzhou, China.
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Kircher K, Chaudry O, Nagel AM, Ghasemikaram M, Uder M, Jakob F, Kohl M, Kemmler W, Engelke K. Effects of high-intensity training on fatty infiltration in paraspinal muscles in elderly males with osteosarcopenia - the randomized controlled FrOST study. BMC Geriatr 2024; 24:141. [PMID: 38326734 PMCID: PMC10851592 DOI: 10.1186/s12877-024-04736-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 01/22/2024] [Indexed: 02/09/2024] Open
Abstract
BACKGROUND Osteosarcopenia is a common geriatric syndrome with an increasing prevalence with age, leading to secondary diseases and complex consequences such as falls and fractures, as well as higher mortality and frailty rates. There is a great need for prevention and treatment strategies. METHODS In this analysis, we used magnetic resonance imaging (MRI) data from the randomised controlled FrOST trial, which enrolled community-dwelling osteosarcopenic men aged > 72 years randomly allocated to 16 months of twice-weekly high-intensity resistance training (HIRT) or a non-training control group. MR Dixon imaging was used to quantify the effects of HIRT on muscle fat infiltration in the paraspinal muscles, determined as changes in muscle tissue, fat faction and intermuscular adipose tissue (IMAT) in the erector spinae and psoas major muscles. Intention-to-treat analysis with multiple imputation was used to analyse the data set. RESULTS After 16 months of intervention, 15 men from the HIRT and 16 men from the CG were included in the MRI analysis. In summary, no positive effects on the fat infiltration of the erector spinae and psoas major muscles were observed. CONCLUSIONS The previously reported positive effects on lumbar spine bone mineral density (BMD) suggest that mechanotransduction induces tropic effects on bone, but that fat infiltration of the erector spinae and psoas major muscles are either irreversible or, for some unknown reason, resistant to exercise. Because of the beneficial effects on spinal BMD, HIRT is still recommended in osteosarcopenic older men, but further research is needed to confirm appropriate age-specific training exercises for the paraspinal muscles. The potential of different MRI sequences to quantify degenerative and metabolic changes in various muscle groups must be better characterized. TRIAL REGISTRATIONS FrOST was approved by the University Ethics Committee of the Friedrich-Alexander University of Erlangen-Nürnberg (number 67_15b and 4464b) and the Federal Office for Radiation Projection (BfS, number Z 5-2,246,212 - 2017-002). Furthermore, it fully complies with the Declaration of Helsinki and is registered at ClinicalTrials.gov: NCT03453463 (05/03/2018). JAMA 310:2191-2194, 2013.
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Affiliation(s)
- Kaja Kircher
- Institute of Medical Physics, Friedrich-Alexander-University of Erlangen-Nürnberg (FAU), Henkestr. 91, 91052, Erlangen, Germany.
- Department of Medicine III, Friedrich-Alexander University of Erlangen-Nürnberg, University Hospital Erlangen, Ulmenweg 18, 91054, Erlangen, Germany.
- Institute of Radiology, Friedrich-Alexander-University of Erlangen-Nürnberg and University Hospital Erlangen, Maximiliansplatz 3, 91054, Erlangen, Germany.
| | - Oliver Chaudry
- Department of Medicine III, Friedrich-Alexander University of Erlangen-Nürnberg, University Hospital Erlangen, Ulmenweg 18, 91054, Erlangen, Germany
| | - Armin M Nagel
- Institute of Radiology, Friedrich-Alexander-University of Erlangen-Nürnberg and University Hospital Erlangen, Maximiliansplatz 3, 91054, Erlangen, Germany
| | - Mansour Ghasemikaram
- Institute of Medical Physics, Friedrich-Alexander-University of Erlangen-Nürnberg (FAU), Henkestr. 91, 91052, Erlangen, Germany
| | - Michael Uder
- Institute of Radiology, Friedrich-Alexander-University of Erlangen-Nürnberg and University Hospital Erlangen, Maximiliansplatz 3, 91054, Erlangen, Germany
| | - Franz Jakob
- Bernhard-Heine-Center for Locomotion Research, University of Würzburg, Brettreichstrasse 11, 97074, Würzburg, Germany
| | - Matthias Kohl
- Faculty Medical and Life Sciences, University of Furtwangen, Neckarstrasse 1, 78054, Villingen-Schwenningen, Germany
| | - Wolfgang Kemmler
- Institute of Medical Physics, Friedrich-Alexander-University of Erlangen-Nürnberg (FAU), Henkestr. 91, 91052, Erlangen, Germany
- Institute of Radiology, Friedrich-Alexander-University of Erlangen-Nürnberg and University Hospital Erlangen, Maximiliansplatz 3, 91054, Erlangen, Germany
| | - Klaus Engelke
- Institute of Medical Physics, Friedrich-Alexander-University of Erlangen-Nürnberg (FAU), Henkestr. 91, 91052, Erlangen, Germany
- Department of Medicine III, Friedrich-Alexander University of Erlangen-Nürnberg, University Hospital Erlangen, Ulmenweg 18, 91054, Erlangen, Germany
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Ferreira LF, da Silva EB, Bomfim ABC. Validity and reliability of portable A-mode ultrasound in measuring body fat percentage: A systematic review with meta-analysis. PLoS One 2024; 19:e0292872. [PMID: 38330039 PMCID: PMC10852247 DOI: 10.1371/journal.pone.0292872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 09/29/2023] [Indexed: 02/10/2024] Open
Abstract
The present Systematic Review with Meta-analysis study aimed to evaluate the validity and reliability of the Portable A-mode Ultrasound (P-US) for measuring body fat percentage (BF%). Only studies with participants of both genders which had assessed BF% using P-US compared to the reference standard were selected. Publications up until May 31, 2022 were searched in the MEDLINE, COCHRANE, Science Direct, Web of Science, LILACS, SciELO, PEDro, SPORT Discus, CINAHL and SCOPUS databases. QUADAS-2 was used to assess the risk of bias in the validity studies and QAREL was used for the methodological quality of reliability studies. The JAMOVI software program synthesized the results, from which the Pearson Correlation Coefficient (r) or the square root of the Multiple Linear Regression Determination Coefficient (R2) were extracted for the validity studies, and the Mean of Errors of the Bland-Altman Test (ME) and the Confidence Interval (95%CI) with Upper and Lower Limits for the reliability studies. A total of 13 studies were included, generating 26 results for the quantitative synthesis, 14 for validity and 12 for reliability. Regarding the validity results, a strong correlation was identified between the equipment (r = 0.870 [0.845-0.895], P<0.001), with moderate and true heterogeneity (I2 = 53.47%, P = 0.003), presenting publication bias. A small effect size was identified regarding the reliability results, overestimating the results due to chance between the devices (ME = 0.207 [-0.798-1.212], P = 0.686), with low heterogeneity also due to chance (I2 = 19.44%, P = 0.253), with no publication bias. All of the evaluated studies showed some violation of the instruments, confirming the high risk of bias and the low methodological quality. There is concern with heterogeneity for the validity results explained by the subgroups' analysis. The P-US associated with anthropometric perimeters satisfactorily measures the BF% with samples greater than 100 participants, and males. The results in the reliability assessment show high agreement and high variability, greatly expanding the confidence interval, which should be viewed with reservations. This review received financial support from the Brazilian Air Force. The study was registered with PROSPERO under the number CRD42020166617.
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Affiliation(s)
- Luiz Fernando Ferreira
- Postgraduate Program in Operational Human Performance, Brazilian Air Force University, Rio de Janeiro, Brazil
| | - Elirez Bezerra da Silva
- Postgraduate Program in Exercise and Sport Sciences, State University of Rio de Janeiro, Rio de Janeiro, Brazil
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Yamamoto T, Kawamori H, Toba T, Sasaki S, Fujii H, Hamana T, Osumi Y, Iwane S, Naniwa S, Sakamoto Y, Matsuhama K, Fukuishi Y, Hirata KI, Otake H. Impact of Pericoronary Adipose Tissue Attenuation on Periprocedural Myocardial Injury in Patients With Chronic Coronary Syndrome. J Am Heart Assoc 2024; 13:e031209. [PMID: 38240235 DOI: 10.1161/jaha.123.031209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 11/15/2023] [Indexed: 02/07/2024]
Abstract
BACKGROUND Perivascular inflammation contributes to the development of atherosclerosis and microcirculatory dysfunction. Pericoronary adipose tissue (PCAT) attenuation, measured by coronary computed tomography angiography, is a potential indicator of coronary inflammation. However, the relationship between PCAT attenuation, microcirculatory dysfunction, and periprocedural myocardial injury (PMI) remains unclear. METHODS AND RESULTS Patients with chronic coronary syndrome who underwent coronary computed tomography angiography before percutaneous coronary intervention were retrospectively identified. PCAT attenuation and adverse plaque characteristics were assessed using coronary computed tomography angiography. The extent of microcirculatory dysfunction was evaluated using the angio-based index of microcirculatory resistance before and after percutaneous coronary intervention. Overall, 125 consecutive patients were included, with 50 experiencing PMI (PMI group) and 75 without PMI (non-PMI group). Multivariable analysis showed that older age, higher angio-based index of microcirculatory resistance, presence of adverse plaque characteristics, and higher lesion-based PCAT attenuation were independently associated with PMI occurrence (odds ratio [OR], 1.07 [95% CI, 1.01-1.13]; P=0.02; OR, 1.06 [95% CI, 1.00-1.12]; P=0.04; OR, 6.62 [95% CI, 2.13-20.6]; P=0.001; and OR, 2.89 [95% CI, 1.63-5.11]; P<0.001, respectively). High PCAT attenuation was correlated with microcirculatory dysfunction before and after percutaneous coronary intervention and its exacerbation during percutaneous coronary intervention. Adding lesion-based PCAT attenuation to the presence of adverse plaque characteristics improved the discriminatory and reclassification ability in predicting PMI. CONCLUSIONS Adding PCAT attenuation at the culprit lesion level to coronary computed tomography angiography-derived adverse plaque characteristics may provide incremental benefit in identifying patients at risk of PMI. Our results highlight the importance of microcirculatory dysfunction in PMI development, particularly in the presence of lesions with high PCAT attenuation. REGISTRATION URL: https://center6.umin.ac.jp/cgi-open-bin/ctr/ctr_view.cgi?recptno=R000057722; Unique identifier: UMIN000050662.
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Affiliation(s)
- Tetsuya Yamamoto
- Division of Cardiovascular Medicine, Department of Internal Medicine Kobe University Graduate School of Medicine Kobe Japan
| | - Hiroyuki Kawamori
- Division of Cardiovascular Medicine, Department of Internal Medicine Kobe University Graduate School of Medicine Kobe Japan
| | - Takayoshi Toba
- Division of Cardiovascular Medicine, Department of Internal Medicine Kobe University Graduate School of Medicine Kobe Japan
| | - Satoru Sasaki
- Division of Cardiovascular Medicine, Department of Internal Medicine Kobe University Graduate School of Medicine Kobe Japan
| | - Hiroyuki Fujii
- Division of Cardiovascular Medicine, Department of Internal Medicine Kobe University Graduate School of Medicine Kobe Japan
| | - Tomoyo Hamana
- Division of Cardiovascular Medicine, Department of Internal Medicine Kobe University Graduate School of Medicine Kobe Japan
| | - Yuto Osumi
- Division of Cardiovascular Medicine, Department of Internal Medicine Kobe University Graduate School of Medicine Kobe Japan
| | - Seigo Iwane
- Division of Cardiovascular Medicine, Department of Internal Medicine Kobe University Graduate School of Medicine Kobe Japan
| | - Shota Naniwa
- Division of Cardiovascular Medicine, Department of Internal Medicine Kobe University Graduate School of Medicine Kobe Japan
| | - Yuki Sakamoto
- Division of Cardiovascular Medicine, Department of Internal Medicine Kobe University Graduate School of Medicine Kobe Japan
| | - Koshi Matsuhama
- Division of Cardiovascular Medicine, Department of Internal Medicine Kobe University Graduate School of Medicine Kobe Japan
| | - Yuta Fukuishi
- Division of Cardiovascular Medicine, Department of Internal Medicine Kobe University Graduate School of Medicine Kobe Japan
| | - Ken-Ichi Hirata
- Division of Cardiovascular Medicine, Department of Internal Medicine Kobe University Graduate School of Medicine Kobe Japan
| | - Hiromasa Otake
- Division of Cardiovascular Medicine, Department of Internal Medicine Kobe University Graduate School of Medicine Kobe Japan
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Bunch PM, Rigdon J, Niazi MKK, Barnard RT, Boutin RD, Houston DK, Lenchik L. Association of CT-Derived Skeletal Muscle and Adipose Tissue Metrics with Frailty in Older Adults. Acad Radiol 2024; 31:596-604. [PMID: 37479618 PMCID: PMC10796847 DOI: 10.1016/j.acra.2023.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2023] [Revised: 05/18/2023] [Accepted: 06/02/2023] [Indexed: 07/23/2023]
Abstract
RATIONALE AND OBJECTIVES Tools are needed for frailty screening of older adults. Opportunistic analysis of body composition could play a role. We aim to determine whether computed tomography (CT)-derived measurements of muscle and adipose tissue are associated with frailty. MATERIALS AND METHODS Outpatients aged ≥ 55 years consecutively imaged with contrast-enhanced abdominopelvic CT over a 3-month interval were included. Frailty was determined from the electronic health record using a previously validated electronic frailty index (eFI). CT images at the level of the L3 vertebra were automatically segmented to derive muscle metrics (skeletal muscle area [SMA], skeletal muscle density [SMD], intermuscular adipose tissue [IMAT]) and adipose tissue metrics (visceral adipose tissue [VAT], subcutaneous adipose tissue [SAT]). Distributions of demographic and CT-derived variables were compared between sexes. Sex-specific associations of muscle and adipose tissue metrics with eFI were characterized by linear regressions adjusted for age, race, ethnicity, duration between imaging and eFI measurements, and imaging parameters. RESULTS The cohort comprised 886 patients (449 women, 437 men, mean age 67.9 years), of whom 382 (43%) met the criteria for pre-frailty (ie, 0.10 < eFI ≤ 0.21) and 138 (16%) for frailty (eFI > 0.21). In men, 1 standard deviation changes in SMD (β = -0.01, 95% confidence interval [CI], -0.02 to -0.001, P = .02) and VAT area (β = 0.008, 95% CI, 0.0005-0.02, P = .04), but not SMA, IMAT, or SAT, were associated with higher frailty. In women, none of the CT-derived muscle or adipose tissue metrics were associated with frailty. CONCLUSION We observed a positive association between frailty and CT-derived biomarkers of myosteatosis and visceral adiposity in a sex-dependent manner.
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Affiliation(s)
- Paul M Bunch
- Department of Radiology, Wake Forest University School of Medicine, Medical Center Boulevard,Winston-Salem, NC 27157 (P.M.B., L.L.).
| | - Joseph Rigdon
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Medical Center Boulevard,Winston-Salem, North Carolina (J.R., R.T.B.)
| | - Muhammad Khalid Khan Niazi
- Center for Biomedical Informatics, Wake Forest University School of Medicine, Medical Center Boulevard,Winston-Salem, North Carolina (M.K.K.N.)
| | - Ryan T Barnard
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Medical Center Boulevard,Winston-Salem, North Carolina (J.R., R.T.B.)
| | - Robert D Boutin
- Department of Radiology, Stanford University School of Medicine, Stanford, California (R.D.B.)
| | - Denise K Houston
- Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest University School of Medicine, Medical Center Boulevard,Winston-Salem, North Carolina (D.K.H.)
| | - Leon Lenchik
- Department of Radiology, Wake Forest University School of Medicine, Medical Center Boulevard,Winston-Salem, NC 27157 (P.M.B., L.L.)
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Debono S, Tzolos E, Syed MBJ, Nash J, Fletcher AJ, Dweck MR, Newby DE, Dey D, Forsythe RO, Williams MC. CT Attenuation of Periaortic Adipose Tissue in Abdominal Aortic Aneurysms. Radiol Cardiothorac Imaging 2024; 6:e230250. [PMID: 38329405 PMCID: PMC10912871 DOI: 10.1148/ryct.230250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 11/27/2023] [Accepted: 12/29/2023] [Indexed: 02/09/2024]
Abstract
Purpose To assess periaortic adipose tissue attenuation at CT angiography in different abdominal aortic aneurysm disease states. Materials and Methods In a retrospective observational study from January 2018 to December 2022, periaortic adipose tissue attenuation was assessed at CT angiography in patients with asymptomatic or symptomatic (including rupture) abdominal aortic aneurysms and controls without aneurysms. Adipose tissue attenuation was measured using semiautomated software in periaortic aneurysmal and nonaneurysmal segments of the abdominal aorta and in subcutaneous and visceral adipose tissue. Periaortic adipose tissue attenuation values between the three groups were assessed using Student t tests and Wilcoxon rank sum tests followed by a multiregression model. Results Eighty-eight individuals (median age, 70 years [IQR, 65-78]; 78 male and 10 female patients) were included: 70 patients with abdominal aortic aneurysms (40 asymptomatic and 30 symptomatic, including 24 with rupture) and 18 controls. There was no evidence of differences in the periaortic adipose tissue attenuation in the aneurysmal segment in asymptomatic patients versus controls (-81.44 HU ± 7 [SD] vs -83.27 HU ± 9; P = .43) and attenuation in nonaneurysmal segments between asymptomatic patients versus controls (-75.43 HU ± 8 vs -78.81 HU ± 6; P = .08). However, symptomatic patients demonstrated higher periaortic adipose tissue attenuation in both aneurysmal (-57.85 HU ± 7; P < .0001) and nonaneurysmal segments (-58.16 HU ± 8; P < .0001) when compared with the other two groups. Conclusion Periaortic adipose tissue CT attenuation was not increased in stable abdominal aortic aneurysm disease. There was a generalized increase in attenuation in patients with symptomatic disease, likely reflecting the systemic consequences of acute rupture. Keywords: Abdominal Aortic Aneurysm, Periaortic Adipose Tissue Attenuation, CT Angiography ClinicalTrials.gov registration no. NCT02229006 © RSNA, 2024.
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Affiliation(s)
- Samuel Debono
- From the University of Edinburgh Centre for Cardiovascular Science,
University of Edinburgh, 49 Little France Crescent, Chancellor’s
Building, Room SU.305, Edinburgh EH16 4SB, United Kingdom (S.D., E.T.,
M.B.J.S., J.N., A.J.F., M.R.D., D.E.N., R.O.F., M.C.W.); School of
Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United
Kingdom (A.J.F.); Department of Medicine, Division of Artificial Intelligence,
and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los
Angeles, Calif (D.D.); and Edinburgh Vascular Service, Royal Infirmary of
Edinburgh, NHS Lothian, Edinburgh, United Kingdom (R.O.F.)
| | - Evangelos Tzolos
- From the University of Edinburgh Centre for Cardiovascular Science,
University of Edinburgh, 49 Little France Crescent, Chancellor’s
Building, Room SU.305, Edinburgh EH16 4SB, United Kingdom (S.D., E.T.,
M.B.J.S., J.N., A.J.F., M.R.D., D.E.N., R.O.F., M.C.W.); School of
Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United
Kingdom (A.J.F.); Department of Medicine, Division of Artificial Intelligence,
and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los
Angeles, Calif (D.D.); and Edinburgh Vascular Service, Royal Infirmary of
Edinburgh, NHS Lothian, Edinburgh, United Kingdom (R.O.F.)
| | - Maaz B. J. Syed
- From the University of Edinburgh Centre for Cardiovascular Science,
University of Edinburgh, 49 Little France Crescent, Chancellor’s
Building, Room SU.305, Edinburgh EH16 4SB, United Kingdom (S.D., E.T.,
M.B.J.S., J.N., A.J.F., M.R.D., D.E.N., R.O.F., M.C.W.); School of
Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United
Kingdom (A.J.F.); Department of Medicine, Division of Artificial Intelligence,
and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los
Angeles, Calif (D.D.); and Edinburgh Vascular Service, Royal Infirmary of
Edinburgh, NHS Lothian, Edinburgh, United Kingdom (R.O.F.)
| | - Jennifer Nash
- From the University of Edinburgh Centre for Cardiovascular Science,
University of Edinburgh, 49 Little France Crescent, Chancellor’s
Building, Room SU.305, Edinburgh EH16 4SB, United Kingdom (S.D., E.T.,
M.B.J.S., J.N., A.J.F., M.R.D., D.E.N., R.O.F., M.C.W.); School of
Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United
Kingdom (A.J.F.); Department of Medicine, Division of Artificial Intelligence,
and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los
Angeles, Calif (D.D.); and Edinburgh Vascular Service, Royal Infirmary of
Edinburgh, NHS Lothian, Edinburgh, United Kingdom (R.O.F.)
| | - Alexander J. Fletcher
- From the University of Edinburgh Centre for Cardiovascular Science,
University of Edinburgh, 49 Little France Crescent, Chancellor’s
Building, Room SU.305, Edinburgh EH16 4SB, United Kingdom (S.D., E.T.,
M.B.J.S., J.N., A.J.F., M.R.D., D.E.N., R.O.F., M.C.W.); School of
Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United
Kingdom (A.J.F.); Department of Medicine, Division of Artificial Intelligence,
and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los
Angeles, Calif (D.D.); and Edinburgh Vascular Service, Royal Infirmary of
Edinburgh, NHS Lothian, Edinburgh, United Kingdom (R.O.F.)
| | - Marc R. Dweck
- From the University of Edinburgh Centre for Cardiovascular Science,
University of Edinburgh, 49 Little France Crescent, Chancellor’s
Building, Room SU.305, Edinburgh EH16 4SB, United Kingdom (S.D., E.T.,
M.B.J.S., J.N., A.J.F., M.R.D., D.E.N., R.O.F., M.C.W.); School of
Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United
Kingdom (A.J.F.); Department of Medicine, Division of Artificial Intelligence,
and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los
Angeles, Calif (D.D.); and Edinburgh Vascular Service, Royal Infirmary of
Edinburgh, NHS Lothian, Edinburgh, United Kingdom (R.O.F.)
| | - David E. Newby
- From the University of Edinburgh Centre for Cardiovascular Science,
University of Edinburgh, 49 Little France Crescent, Chancellor’s
Building, Room SU.305, Edinburgh EH16 4SB, United Kingdom (S.D., E.T.,
M.B.J.S., J.N., A.J.F., M.R.D., D.E.N., R.O.F., M.C.W.); School of
Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United
Kingdom (A.J.F.); Department of Medicine, Division of Artificial Intelligence,
and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los
Angeles, Calif (D.D.); and Edinburgh Vascular Service, Royal Infirmary of
Edinburgh, NHS Lothian, Edinburgh, United Kingdom (R.O.F.)
| | - Damini Dey
- From the University of Edinburgh Centre for Cardiovascular Science,
University of Edinburgh, 49 Little France Crescent, Chancellor’s
Building, Room SU.305, Edinburgh EH16 4SB, United Kingdom (S.D., E.T.,
M.B.J.S., J.N., A.J.F., M.R.D., D.E.N., R.O.F., M.C.W.); School of
Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United
Kingdom (A.J.F.); Department of Medicine, Division of Artificial Intelligence,
and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los
Angeles, Calif (D.D.); and Edinburgh Vascular Service, Royal Infirmary of
Edinburgh, NHS Lothian, Edinburgh, United Kingdom (R.O.F.)
| | - Rachael O. Forsythe
- From the University of Edinburgh Centre for Cardiovascular Science,
University of Edinburgh, 49 Little France Crescent, Chancellor’s
Building, Room SU.305, Edinburgh EH16 4SB, United Kingdom (S.D., E.T.,
M.B.J.S., J.N., A.J.F., M.R.D., D.E.N., R.O.F., M.C.W.); School of
Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United
Kingdom (A.J.F.); Department of Medicine, Division of Artificial Intelligence,
and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los
Angeles, Calif (D.D.); and Edinburgh Vascular Service, Royal Infirmary of
Edinburgh, NHS Lothian, Edinburgh, United Kingdom (R.O.F.)
| | - Michelle C. Williams
- From the University of Edinburgh Centre for Cardiovascular Science,
University of Edinburgh, 49 Little France Crescent, Chancellor’s
Building, Room SU.305, Edinburgh EH16 4SB, United Kingdom (S.D., E.T.,
M.B.J.S., J.N., A.J.F., M.R.D., D.E.N., R.O.F., M.C.W.); School of
Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United
Kingdom (A.J.F.); Department of Medicine, Division of Artificial Intelligence,
and Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los
Angeles, Calif (D.D.); and Edinburgh Vascular Service, Royal Infirmary of
Edinburgh, NHS Lothian, Edinburgh, United Kingdom (R.O.F.)
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42
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Dirajlal-Fargo S, Jacobson DL, Yu W, Mirza A, Geffner ME, Mccomsey GA, Jao J. Longitudinal changes in body fat and metabolic complications in young people with perinatally acquired HIV. HIV Med 2024; 25:233-244. [PMID: 37845017 PMCID: PMC10872855 DOI: 10.1111/hiv.13566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 09/26/2023] [Indexed: 10/18/2023]
Abstract
BACKGROUND The role of body fat on metabolic complications remains poorly understood in young people living with perinatally acquired HIV (YPHIV). OBJECTIVE Our objective was to assess the association of changes in adiposity over 2 years with metabolic outcomes in YPHIV. METHODS The PHACS Adolescent Master Protocol (AMP) study enrolled YPHIV from 2007 to 2009 across 15 US sites, including Puerto Rico. We included YPHIV aged 7-19 years with body composition data assessed by whole-body dual-energy X-ray absorptiometry (DXA) at baseline and 2 years later. Metabolic outcomes included homeostatic model assessment of insulin resistance (HOMA-IR) and non-high-density lipoprotein cholesterol (non-HDL-C). We fitted linear regression models to assess the association of increase in body fat over 2 years with metabolic outcomes at years 2 and 3. RESULTS In all, 232 participants had a second DXA and either HOMA-IR or non-HDL-C measured at year 2. Participant characteristics at the first DXA were: age 12 years (9-14) [median (Q1-Q3)], 69% Black, and median CD4 count 714 cells/μL; 70% with HIV RNA <400 copies/mL. In adjusted analyses for every 1% increase in body fat from baseline to year 2, HOMA-IR was higher by 1.03-fold at year 3 (95% CI: 1.00, 1.05). We observed that for every 1% increase in body fat from baseline to year 2, non-HDL-C was 0.72 mg/dL higher at year 2 (95% CI: -0.04-1.49) and 0.81 mg/dL higher at year 3 (95% CI: -0.05-1.66). CONCLUSIONS Increases in adiposity over time may lead to downstream decreased insulin sensitivity and dyslipidaemia in YPHIV.
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Affiliation(s)
- Sahera Dirajlal-Fargo
- Case Western Reserve University, Cleveland, Ohio, USA
- Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Denise L Jacobson
- Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Wendy Yu
- Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Ayesha Mirza
- University of Florida Health, Jacksonville, Florida, USA
| | - Mitchell E Geffner
- The Saban Research Institute of Children's Hospital Los Angeles, Los Angeles, California, USA
| | | | - Jennifer Jao
- Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
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43
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Patel KK, Shaw LJ. Perivascular Adipose Tissue Inflammation: Does It Explain Sex-Based Differences in Atherosclerotic Heart Disease? Circ Cardiovasc Imaging 2024; 17:e016559. [PMID: 38377231 PMCID: PMC10883611 DOI: 10.1161/circimaging.124.016559] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]
Affiliation(s)
- Krishna K. Patel
- The Zena and Michael A. Wiener Cardiovascular Institute, Blavatnik Family Women’s Health Research Institute, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Leslee J. Shaw
- The Zena and Michael A. Wiener Cardiovascular Institute, Blavatnik Family Women’s Health Research Institute, Icahn School of Medicine at Mount Sinai, New York, NY
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44
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Kurata A. Deep Learning-Based CT Noise Reduction for Perivascular Adipose Tissue Evaluation. Acad Radiol 2024; 31:446-447. [PMID: 38177033 DOI: 10.1016/j.acra.2023.11.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 11/21/2023] [Accepted: 11/21/2023] [Indexed: 01/06/2024]
Affiliation(s)
- Akira Kurata
- Department of Cardiology, NHO Shikoku Cancer Center, Minami-umemoto Kou 160, Matsuyama, Ehime 791-0245, Japan; Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime 791-0295, Japan.
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45
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Osias E, Cale M, Saffari P, Barbosa Diniz S, Singh P, Rootman DB. Clinical and demographic predictors of buccal fat pad volume in thyroid eye disease. Orbit 2024; 43:58-63. [PMID: 36974465 DOI: 10.1080/01676830.2023.2192787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 03/15/2023] [Indexed: 03/29/2023]
Abstract
PURPOSE To understand how thyroid eye disease (TED) impacts buccal fat pad (BFP) volume. METHODS In this cohort study, computed tomography (CT) scans and charts of adult patients with and without TED were obtained from an institutional database. The primary outcome was BFP volume in cubic centimeters. Three independent, blinded observers analyzed scans using Horos, a free, open-source medical image viewing software. Bivariate and multivariable analyses were performed. We determined sample size using an effect size based on published reports of the minimum amount of fat excision needed to notice a clinical difference. Equivalence testing against upper and lower bounds set by the same effect size was conducted to assess practical significance of the results. RESULTS Our sample was sufficient to detect a difference as large as 1.5cc with 95% power. 72 scans were included in our study, 24 TED patients and 48 controls. Mean BFP volume was not statistically different between TED patients and controls (3.96 cc vs 4.06 cc, p = .778). Analysis of covariance adjusting for relevant patient factors (age, sex, and BMI) also failed to find a significant difference between groups. Equivalence testing was significant (p < .001) and revealed the observed difference between groups was less than any clinically meaningful difference. For an effect size of 1.5cc, the data suggests there is a 5% risk of a false negative. CONCLUSIONS TED was not associated with a significant difference in BFP volume, suggesting that the BFP is spared from TED-related soft-tissue expansion.
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Affiliation(s)
- Ethan Osias
- Division of Orbital and Ophthalmic Plastic Surgery, Jules Stein Eye Institute, University of California, Los Angeles, California, USA
| | - Mario Cale
- Division of Orbital and Ophthalmic Plastic Surgery, Jules Stein Eye Institute, University of California, Los Angeles, California, USA
| | - Persiana Saffari
- Division of Orbital and Ophthalmic Plastic Surgery, Jules Stein Eye Institute, University of California, Los Angeles, California, USA
| | - Stefania Barbosa Diniz
- Division of Orbital and Ophthalmic Plastic Surgery, Jules Stein Eye Institute, University of California, Los Angeles, California, USA
| | - Pallavi Singh
- Division of Orbital and Ophthalmic Plastic Surgery, Jules Stein Eye Institute, University of California, Los Angeles, California, USA
| | - Daniel B Rootman
- Division of Orbital and Ophthalmic Plastic Surgery, Jules Stein Eye Institute, University of California, Los Angeles, California, USA
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46
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Hoffmann J, Thiele J, Kwast S, Borger MA, Schröter T, Schmidt J, Busse M. A new approach to quantify visceral fat via bioelectrical impedance analysis and ultrasound compared to MRI. Int J Obes (Lond) 2024; 48:209-217. [PMID: 37891402 PMCID: PMC10824659 DOI: 10.1038/s41366-023-01400-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 09/19/2023] [Accepted: 10/10/2023] [Indexed: 10/29/2023]
Abstract
BACKGROUND Visceral adipose tissue (VAT) has been linked to systemic proinflammatory characteristics, and measuring it accurately usually requires sophisticated instruments. This study aimed to estimate VAT applying a simpler method that uses total subcutaneous fat and total body fat (BF) measurements. METHOD As part of our experimental approach, the subcutaneous fat mass (SFT) was measured via US (SFTtotal), and VAT was quantified by assessing MRI data. Both parameters were added to obtain total body fat (BFcalc). Those results were then compared to values obtained from a bioelectrical impedance analysis (BFBIA). Multiple regression analyses were employed to develop a simplified sex-specific equation for SFT, which was subsequently used in conjunction with BFBIA to determine VAT (VATEq). RESULT We observed excellent reliability between BFBIA and BFcalc, with no significant difference in body fat values (20.98 ± 8.36 kg vs. 21.08 ± 8.81 kg, p = 0.798, ICC 0.948). VATEq_female/male revealed excellent reliability when compared to VATMRI, and no significant difference appeared (women: 0.03 ± 0.66 kg with a 95% CI ranging from -1.26 kg to 1.32 kg, p = 0.815, ICC: 0.955.; men: -0.01 ± 0.85 kg with a 95% CI ranging from -1.69 kg to 1.66 kg, p = 0.925, ICC: 0.952). CONCLUSION Taking an experimental approach, VAT can be determined without MRI.
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Affiliation(s)
- Jana Hoffmann
- Outpatient Clinic of Sports Medicine, University of Leipzig, Rosa-Luxemburg-Str. 20-30, 04103, Leipzig, Germany.
| | - Jens Thiele
- Department of Radiology, Helios Klinik, 04435, Schkeuditz, Germany
| | | | | | - Thomas Schröter
- University Department of Cardiac Surgery, Heart Center, 04289, Leipzig, Germany
| | - Jochen Schmidt
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany
| | - Martin Busse
- Outpatient Clinic of Sports Medicine, University of Leipzig, Rosa-Luxemburg-Str. 20-30, 04103, Leipzig, Germany
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47
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Rey-Cadilhac L, Andueza D, Prache S. Visible spectroscopy on lamb fat and muscle to authenticate the duration of pasture finishing. Meat Sci 2024; 208:109377. [PMID: 37948958 DOI: 10.1016/j.meatsci.2023.109377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 10/27/2023] [Accepted: 10/30/2023] [Indexed: 11/12/2023]
Abstract
Pasture-based livestock systems are considered environmentally-sustainable and welfare-friendly farming systems that can meet consumer demand for good-quality produce. However, trust in products labelled as 'grass-fed' depends on the ability to reliably authenticate pasture origin. The two objectives of this study were (i) to test the ability of visible spectroscopy combined with discriminant analysis on lamb perirenal fat (PF), dorsal fat (DF) and longissimus thoracis et lumborum muscle to discriminate different durations of pasture-finishing; and (ii) to determine the timing of appearance of the pasture signature and its stabilization in these tissues. Four groups of 35 lambs were used over two years, i.e. lambs fed concentrate in-stall (L0) and lambs grazing alfalfa for 21d (L21), 42d (L42) and 63d (L63) before slaughter. No one tissue satisfactorily discriminated the four treatment groups, with ≤75% of lambs correctly classified. However, visible spectroscopy discriminated L0 from L21 + L42 + L63 lambs with an accuracy of 92.8%, 92.0%, and 85.3% lambs correctly classified on PF, DF and muscle, respectively, and discriminated L0 + L21 from L42 + L63 lambs with an accuracy of 90.1%, 76.5% and 92.3% on PF, DF and muscle, respectively. The pasture fingerprint or signature on the spectrum appeared in most lambs between 0 and 21d in PF and DF and between 0 and 42d in muscle. Pasture signature gradually stabilized with increasing time on pasture but was not entirely stabilized in any tissue within the range of grazing durations explored. These promising results need to be confirmed on larger datasets with different breeds and grazing conditions.
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Affiliation(s)
- L Rey-Cadilhac
- Université Clermont Auvergne, INRAE, VetAgro Sup, UMR1213 Herbivores, 63122 St-Genès-Champanelle, France
| | - D Andueza
- Université Clermont Auvergne, INRAE, VetAgro Sup, UMR1213 Herbivores, 63122 St-Genès-Champanelle, France
| | - S Prache
- Université Clermont Auvergne, INRAE, VetAgro Sup, UMR1213 Herbivores, 63122 St-Genès-Champanelle, France.
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48
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Kiemen AL, Dbouk M, Diwan EA, Forjaz A, Dequiedt L, Baghdadi A, Madani SP, Grahn MP, Jones C, Vedula S, Wu P, Wirtz D, Kern S, Goggins M, Hruban RH, Kamel IR, Canto MI. Magnetic Resonance Imaging-Based Assessment of Pancreatic Fat Strongly Correlates With Histology-Based Assessment of Pancreas Composition. Pancreas 2024; 53:e180-e186. [PMID: 38194643 PMCID: PMC10872776 DOI: 10.1097/mpa.0000000000002288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
OBJECTIVE The aim of the study is to assess the relationship between magnetic resonance imaging (MRI)-based estimation of pancreatic fat and histology-based measurement of pancreatic composition. MATERIALS AND METHODS In this retrospective study, MRI was used to noninvasively estimate pancreatic fat content in preoperative images from high-risk individuals and disease controls having normal pancreata. A deep learning algorithm was used to label 11 tissue components at micron resolution in subsequent pancreatectomy histology. A linear model was used to determine correlation between histologic tissue composition and MRI fat estimation. RESULTS Twenty-seven patients (mean age 64.0 ± 12.0 years [standard deviation], 15 women) were evaluated. The fat content measured by MRI ranged from 0% to 36.9%. Intrapancreatic histologic tissue fat content ranged from 0.8% to 38.3%. MRI pancreatic fat estimation positively correlated with microanatomical composition of fat (r = 0.90, 0.83 to 0.95], P < 0.001); as well as with pancreatic cancer precursor ( r = 0.65, P < 0.001); and collagen ( r = 0.46, P < 0.001) content, and negatively correlated with pancreatic acinar ( r = -0.85, P < 0.001) content. CONCLUSIONS Pancreatic fat content, measurable by MRI, correlates to acinar content, stromal content (fibrosis), and presence of neoplastic precursors of cancer.
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Affiliation(s)
- Ashley L. Kiemen
- Departments of Pathology, The Johns Hopkins University School of Medicine; 600 North Wolfe Street, Baltimore, Maryland 21287, USA
- Departments of Chemical and Biomolecular Engineering, The Johns Hopkins University; 3400 N Charles St, Baltimore, Maryland 21218, USA
- Oncology, The Johns Hopkins University School of Medicine; 600 North Wolfe Street, Baltimore, Maryland 21287, USA
| | - Mohamad Dbouk
- Departments of Pathology, The Johns Hopkins University School of Medicine; 600 North Wolfe Street, Baltimore, Maryland 21287, USA
- Department of Medicine, Washington University St. Louis, St. Louis, USA; 1 Brookings Dr, St. Louis, MO 63130
| | - Elizabeth Abou Diwan
- Department of Medicine, Washington University St. Louis, St. Louis, USA; 1 Brookings Dr, St. Louis, MO 63130
| | - André Forjaz
- Departments of Chemical and Biomolecular Engineering, The Johns Hopkins University; 3400 N Charles St, Baltimore, Maryland 21218, USA
| | - Lucie Dequiedt
- Departments of Chemical and Biomolecular Engineering, The Johns Hopkins University; 3400 N Charles St, Baltimore, Maryland 21218, USA
| | - Azarakhsh Baghdadi
- Radiology and Radiological Science, The Johns Hopkins University School of Medicine; 600 North Wolfe Street, Baltimore, Maryland 21287, USA
| | - Seyedeh Panid Madani
- Radiology and Radiological Science, The Johns Hopkins University School of Medicine; 600 North Wolfe Street, Baltimore, Maryland 21287, USA
| | - Mia P. Grahn
- Departments of Chemical and Biomolecular Engineering, The Johns Hopkins University; 3400 N Charles St, Baltimore, Maryland 21218, USA
| | - Craig Jones
- Computer Science, The Johns Hopkins University; 3400 N Charles St, Baltimore, Maryland 21218, USA
- Malone Center for Engineering in Healthcare, The Johns Hopkins University; 3400 N Charles St, Baltimore, Maryland 21218, USA
| | - Swaroop Vedula
- Malone Center for Engineering in Healthcare, The Johns Hopkins University; 3400 N Charles St, Baltimore, Maryland 21218, USA
| | - PeiHsun Wu
- Departments of Chemical and Biomolecular Engineering, The Johns Hopkins University; 3400 N Charles St, Baltimore, Maryland 21218, USA
| | - Denis Wirtz
- Departments of Pathology, The Johns Hopkins University School of Medicine; 600 North Wolfe Street, Baltimore, Maryland 21287, USA
- Departments of Chemical and Biomolecular Engineering, The Johns Hopkins University; 3400 N Charles St, Baltimore, Maryland 21218, USA
- Oncology, The Johns Hopkins University School of Medicine; 600 North Wolfe Street, Baltimore, Maryland 21287, USA
- Materials Science and Engineering, The Johns Hopkins University; 3400 N Charles St, Baltimore, Maryland 21218, USA
| | - Scott Kern
- Departments of Pathology, The Johns Hopkins University School of Medicine; 600 North Wolfe Street, Baltimore, Maryland 21287, USA
- Oncology, The Johns Hopkins University School of Medicine; 600 North Wolfe Street, Baltimore, Maryland 21287, USA
- Division of Gastroenterology and Hepatology, The Johns Hopkins University School of Medicine; 600 North Wolfe Street, Baltimore, Maryland 21287, USA
| | - Michael Goggins
- Departments of Pathology, The Johns Hopkins University School of Medicine; 600 North Wolfe Street, Baltimore, Maryland 21287, USA
- Oncology, The Johns Hopkins University School of Medicine; 600 North Wolfe Street, Baltimore, Maryland 21287, USA
| | - Ralph H. Hruban
- Departments of Pathology, The Johns Hopkins University School of Medicine; 600 North Wolfe Street, Baltimore, Maryland 21287, USA
- Oncology, The Johns Hopkins University School of Medicine; 600 North Wolfe Street, Baltimore, Maryland 21287, USA
| | - Ihab R. Kamel
- Radiology and Radiological Science, The Johns Hopkins University School of Medicine; 600 North Wolfe Street, Baltimore, Maryland 21287, USA
| | - Marcia Irene Canto
- Oncology, The Johns Hopkins University School of Medicine; 600 North Wolfe Street, Baltimore, Maryland 21287, USA
- Division of Gastroenterology and Hepatology, The Johns Hopkins University School of Medicine; 600 North Wolfe Street, Baltimore, Maryland 21287, USA
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49
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Bunnell KM, Galdamez ME, Torriani M, Bredella MA. Breast adipose tissue attenuation as a novel imaging biomarker for cardiometabolic risk. Acta Radiol 2024; 65:167-172. [PMID: 36560894 DOI: 10.1177/02841851221146267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND Certain adipose tissue depots infer higher cardiometabolic risk than body mass index (BMI). PURPOSE To assess breast adipose tissue (BrAT) attenuation as a novel imaging biomarker for cardiometabolic risk. MATERIAL AND METHODS We studied 151 women (mean age = 56 ± 1 years) across the weight spectrum. BrAT attenuation, abdominal adipose tissue cross-sectional areas (CSA), and attenuation were quantified using non-contrast computed tomography (CT) scans. Cardiometabolic risk factors were assessed from medical records. RESULTS BrAT attenuation was lower in obese women compared to lean women. BrAT attenuation was inversely associated with BMI, waist circumference, abdominal fat CSA, fasting glucose, and triglycerides (P ≤ 0.02), and positively associated with abdominal adipose tissue attenuation (P < 0.001). BrAT attenuation had a sensitivity of 90% but a specificity of only 35% in detecting the metabolic syndrome (area under the curve = 0.63). CONCLUSION BrAT attenuation is associated with cardiometabolic risk markers and could serve as an imaging biomarker for opportunistic risk assessment in patients undergoing CT examination of the chest.
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Affiliation(s)
- Katherine M Bunnell
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Marilyn E Galdamez
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Martin Torriani
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Miriam A Bredella
- Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
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50
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Akazawa N, Funai K, Hino T, Tsuji R, Tamura W, Tamura K, Hioka A, Moriyama H. Increased intramuscular adipose tissue of the quadriceps at admission is more strongly related to activities of daily living recovery at discharge compared to muscle mass loss in older patients with aspiration pneumonia. BMC Geriatr 2024; 24:107. [PMID: 38287269 PMCID: PMC10826265 DOI: 10.1186/s12877-024-04718-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 01/17/2024] [Indexed: 01/31/2024] Open
Abstract
BACKGROUND Recent studies reported that an increase in intramuscular adipose tissue of the quadriceps in older patients negatively affects the recovery of activities of daily living (ADL) more than the loss of muscle mass. However, whether intramuscular adipose tissue of the quadriceps in older patients with aspiration pneumonia is related to ADL recovery remains unclear. This study aimed to determine the relationship between intramuscular adipose tissue of the quadriceps and ADL recovery in older patients with aspiration pneumonia. METHODS Thirty-nine older inpatients who were diagnosed with aspiration pneumonia participated in this prospective study. The main outcome of this study was ADL at discharge. ADL were assessed using the Barthel Index (BI). The intramuscular adipose tissue and muscle mass of the quadriceps were evaluated at admission using echo intensity and muscle thickness observed on ultrasound images. A multiple linear regression analysis was performed to confirm whether the quadriceps echo intensity was related to the BI score at discharge, even after adjusting for confounding factors. RESULTS The medians [interquartile range] of the BI score at admission and discharge were 15.0 [0.0-35.0] and 20.0 [5.0-55.0], respectively. The BI score at discharge was significantly higher than that at admission (p = 0.002). The quadriceps echo intensity (β = - 0.374; p = 0.036) and BI score at admission (β = 0.601; p < 0.001) were independently and significantly related to the BI score at discharge (R2 = 0.718; f2 = 2.546; statistical power = 1.000). In contrast, the quadriceps thickness (β = - 0.216; p = 0.318) was not independently and significantly related to the BI score at discharge. CONCLUSIONS Increased intramuscular adipose tissue of the quadriceps at admission is more strongly and negatively related to ADL recovery at discharge than the loss of muscle mass among older patients with aspiration pneumonia. Interventions targeting the intramuscular adipose tissue of the quadriceps may improve ADL among these patients.
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Affiliation(s)
- Naoki Akazawa
- Department of Physical Therapy, Faculty of Health and Welfare, Tokushima Bunri University, Hoji 180, Nishihama, Yamashiro-Cho, Tokushima-City, Tokushima, 770-8514, Japan.
| | - Keita Funai
- Department of Rehabilitation, Kasei Tamura Hospital, Wakayama, Wakayama, Japan
| | - Toshikazu Hino
- Department of Rehabilitation, Kasei Tamura Hospital, Wakayama, Wakayama, Japan
| | - Ryota Tsuji
- Department of Rehabilitation, Kasei Tamura Hospital, Wakayama, Wakayama, Japan
| | - Wataru Tamura
- Department of Rehabilitation, Kasei Tamura Hospital, Wakayama, Wakayama, Japan
| | - Kimiyuki Tamura
- Department of Rehabilitation, Kasei Tamura Hospital, Wakayama, Wakayama, Japan
| | - Akemi Hioka
- Department of Physical Therapy, Faculty of Health and Welfare, Tokushima Bunri University, Hoji 180, Nishihama, Yamashiro-Cho, Tokushima-City, Tokushima, 770-8514, Japan
| | - Hideki Moriyama
- Life and Medical Sciences Area, Health Sciences Discipline, Kobe University, Kobe, Hyogo, Japan
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