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Reinshagen M, Kabisch S, Pfeiffer AF, Spranger J. Liver Fat Scores for Noninvasive Diagnosis and Monitoring of Nonalcoholic Fatty Liver Disease in Epidemiological and Clinical Studies. J Clin Transl Hepatol 2023; 11:1212-1227. [PMID: 37577225 PMCID: PMC10412706 DOI: 10.14218/jcth.2022.00019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 12/16/2022] [Accepted: 03/21/2023] [Indexed: 07/03/2023] Open
Abstract
Nonalcoholic fatty liver disease (NAFLD) is strongly associated with the metabolic syndrome and type 2 diabetes and independently contributes to long-term complications. Being often asymptomatic but reversible, it would require population-wide screening, but direct diagnostics are either too invasive (liver biopsy), costly (MRI) or depending on the examiner's expertise (ultrasonography). Hepatosteatosis is usually accommodated by features of the metabolic syndrome (e.g. obesity, disturbances in triglyceride and glucose metabolism), and signs of hepatocellular damage, all of which are reflected by biomarkers, which poorly predict NAFLD as single item, but provide a cheap diagnostic alternative when integrated into composite liver fat indices. Fatty liver index, NAFLD LFS, and hepatic steatosis index are common and accurate indices for NAFLD prediction, but show limited accuracy for liver fat quantification. Other indices are rarely used. Hepatic fibrosis scores are commonly used in clinical practice, but their mandatory reflection of fibrotic reorganization, hepatic injury or systemic sequelae reduces sensitivity for the diagnosis of simple steatosis. Diet-induced liver fat changes are poorly reflected by liver fat indices, depending on the intervention and its specific impact of weight loss on NAFLD. This limited validity in longitudinal settings stimulates research for new equations. Adipokines, hepatokines, markers of cellular integrity, genetic variants but also simple and inexpensive routine parameters might be potential components. Currently, liver fat indices lack precision for NAFLD prediction or monitoring in individual patients, but in large cohorts they may substitute nonexistent imaging data and serve as a compound biomarker of metabolic syndrome and its cardiometabolic sequelae.
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Affiliation(s)
- Mona Reinshagen
- Department of Endocrinology and Metabolism, Campus Benjamin Franklin, Charité University Medicine, Berlin, Germany
- Deutsches Zentrum für Diabetesforschung e.V., Geschäftsstelle am Helmholtz-Zentrum München, Neuherberg, Germany
| | - Stefan Kabisch
- Department of Endocrinology and Metabolism, Campus Benjamin Franklin, Charité University Medicine, Berlin, Germany
- Deutsches Zentrum für Diabetesforschung e.V., Geschäftsstelle am Helmholtz-Zentrum München, Neuherberg, Germany
| | - Andreas F.H. Pfeiffer
- Department of Endocrinology and Metabolism, Campus Benjamin Franklin, Charité University Medicine, Berlin, Germany
- Deutsches Zentrum für Diabetesforschung e.V., Geschäftsstelle am Helmholtz-Zentrum München, Neuherberg, Germany
| | - Joachim Spranger
- Department of Endocrinology and Metabolism, Campus Benjamin Franklin, Charité University Medicine, Berlin, Germany
- Deutsches Zentrum für Diabetesforschung e.V., Geschäftsstelle am Helmholtz-Zentrum München, Neuherberg, Germany
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2
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Towbin AJ, Ye W, Huang S, Karmazyn BW, Molleston JP, Masand P, Leung DH, Chang S, Narkewicz MR, Alazraki AL, Freeman AJ, Otto RK, Green N, Kamel IR, Karnsakul WW, Magee JC, Tkach J, Palermo JJ. Prospective study of quantitative liver MRI in cystic fibrosis: feasibility and comparison to PUSH cohort ultrasound. Pediatr Radiol 2023; 53:2210-2220. [PMID: 37500799 DOI: 10.1007/s00247-023-05706-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 06/08/2023] [Accepted: 06/17/2023] [Indexed: 07/29/2023]
Abstract
BACKGROUND Pediatric radiologists can identify a liver ultrasound (US) pattern predictive of progression to advanced liver disease. However, reliably discriminating these US patterns remains difficult. Quantitative magnetic resonance imaging (MRI) may provide an objective measure of liver disease in cystic fibrosis (CF). OBJECTIVE The purpose of this study was to determine if quantitative MRI, including MR elastography, is feasible in children with CF and to determine how quantitative MRI-derived metrics compared to a research US. MATERIALS AND METHODS A prospective, multi-institutional trial was performed evaluating CF participants who underwent a standardized MRI. At central review, liver stiffness, fat fraction, liver volume, and spleen volume were obtained. Participants whose MRI was performed within 1 year of US were classified by US pattern as normal, homogeneous hyperechoic, heterogeneous, or nodular. Each MRI measure was compared among US grade groups using the Kruskal-Wallis test. RESULTS Ninety-three participants (51 females [54.8%]; mean 15.6 years [range 8.1-21.7 years]) underwent MRI. MR elastography was feasible in 87 participants (93.5%). Fifty-eight participants had an US within 1 year of MRI. In these participants, a nodular liver had significantly higher stiffness (P<0.01) than normal or homogeneous hyperechoic livers. Participants with a homogeneous hyperechoic liver had a higher fat fraction (P<0.005) than others. CONCLUSION MR elastography is feasible in children with CF. Participants with a nodular pattern had higher liver stiffness supporting the US determination of advanced liver disease. Participants with a homogeneous hyperechoic pattern had higher fat fractions supporting the diagnosis of steatosis.
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Affiliation(s)
- Alexander J Towbin
- Department of Radiology, Cincinnati Children's Hospital, 3333 Burnet Avenue, MLC 5031, Cincinnati, OH, 45229, USA.
- Department of Radiology, University of Cincinnati School of Medicine, Cincinnati, OH, USA.
| | - Wen Ye
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Suiyuan Huang
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Boaz W Karmazyn
- Pediatric Radiology, Riley Hospital for Children at IU Health, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Jean P Molleston
- Pediatric Gastroenterology, Hepatology and Nutrition, Riley Hospital for Children at IU Health, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Prakash Masand
- Division of Radiology, Texas Children's Hospital, Houston, TX, USA
| | - Daniel H Leung
- Division of Gastroenterology, Hepatology and Nutrition, Department of Pediatrics, Texas Children's, Baylor College of Medicine, Houston, TX, USA
| | - Samuel Chang
- Department of Radiology, Banner MD Anderson Cancer Center, Gilbert, AZ, USA
| | - Michael R Narkewicz
- Digestive Health Institute, Children's Hospital Colorado and Section of Pediatric Gastroenterology, Hepatology and Nutrition, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA
| | - Adina L Alazraki
- Department of Radiology, Emory University School of Medicine and Children's Healthcare of Atlanta, Atlanta, GA, USA
| | - A Jay Freeman
- Division of Pediatric Gastroenterology, Hepatology and Nutrition, Nationwide Children's Hospital, Columbus, OH, USA
| | - Randolph K Otto
- Department of Radiology, University of Washington and Seattle Children's Hospital, Seattle, WA, USA
| | - Nicole Green
- Division of Gastroenterology and Hepatology, University of Washington and Seattle Children's Hospital, Seattle, WA, USA
| | - Ihab R Kamel
- Department of Radiology, John Hopkins School of Medicine, Baltimore, MD, USA
| | - Wikrom W Karnsakul
- Division of Pediatric Gastroenterology, Hepatology and Nutrition, John Hopkins School of Medicine, Baltimore, MD, USA
| | - John C Magee
- Department of Surgery, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Jean Tkach
- Department of Radiology, Cincinnati Children's Hospital, 3333 Burnet Avenue, MLC 5031, Cincinnati, OH, 45229, USA
- Department of Radiology, University of Cincinnati School of Medicine, Cincinnati, OH, USA
| | - Joseph J Palermo
- Division of Pediatric, Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
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3
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Tipirneni-Sajja A, Brasher S, Shrestha U, Johnson H, Morin C, Satapathy SK. Quantitative MRI of diffuse liver diseases: techniques and tissue-mimicking phantoms. MAGMA (NEW YORK, N.Y.) 2023; 36:529-551. [PMID: 36515810 DOI: 10.1007/s10334-022-01053-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 11/29/2022] [Accepted: 11/30/2022] [Indexed: 12/15/2022]
Abstract
Quantitative magnetic resonance imaging (MRI) techniques are emerging as non-invasive alternatives to biopsy for assessment of diffuse liver diseases of iron overload, steatosis and fibrosis. For testing and validating the accuracy of these techniques, phantoms are often used as stand-ins to human tissue to mimic diffuse liver pathologies. However, currently, there is no standardization in the preparation of MRI-based liver phantoms for mimicking iron overload, steatosis, fibrosis or a combination of these pathologies as various sizes and types of materials are used to mimic the same liver disease. Liver phantoms that mimic specific MR features of diffuse liver diseases observed in vivo are important for testing and calibrating new MRI techniques and for evaluating signal models to accurately quantify these features. In this study, we review the liver morphology associated with these diffuse diseases, discuss the quantitative MR techniques for assessing these liver pathologies, and comprehensively examine published liver phantom studies and discuss their benefits and limitations.
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Affiliation(s)
- Aaryani Tipirneni-Sajja
- Department of Biomedical Engineering, The University of Memphis, Memphis, TN, USA.
- Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN, USA.
| | - Sarah Brasher
- Department of Biomedical Engineering, The University of Memphis, Memphis, TN, USA
| | - Utsav Shrestha
- Department of Biomedical Engineering, The University of Memphis, Memphis, TN, USA
| | - Hayden Johnson
- Department of Biomedical Engineering, The University of Memphis, Memphis, TN, USA
| | - Cara Morin
- Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN, USA
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Sanjaya K Satapathy
- Northwell Health Center for Liver Diseases and Transplantation, Northshore University Hospital/Northwell Health, Manhasset, NY, USA
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4
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Yang S, Chen X, Chen S, Chen H, Zhao Y, Wu Z, Luo H, Zhang Z. Radiofrequency coil design for improving human liver fat quantification in a portable single-side magnetic resonance system. NMR IN BIOMEDICINE 2023; 36:e4875. [PMID: 36357354 DOI: 10.1002/nbm.4875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Revised: 10/19/2022] [Accepted: 11/08/2022] [Indexed: 06/16/2023]
Abstract
Earlier diagnosis of nonalcoholic fatty liver disease (NAFLD) is important to prevent progression of the disease. Recently, a low-cost portable magnetic resonance (MR) system was developed as a point-of-care screening tool for in vivo liver fat quantification. However, subcutaneous fat may confound the liver fat quantification, particularly in the NAFLD population. In this work, we propose a novel radiofrequency (RF) coil design composed of a set of "saturation" coils sandwiching a main coil to improve human liver fat quantification. By comparison with conventional MR imaging, we demonstrate the capability and effectiveness of the novel RF coil design in phantom experiments as well as in vivo liver scans. In the phantom experiment, the saturation coil reduced the error in the measured proton density fat fraction (PDFF) results from 28.9% to 4.0%, and in the in vivo experiment, it reduced the discrepancy in the PDFF results from 13.2% to 4.0%. The novel coil design, together with the adapted Carr-Purcell-Meiboom-Gill-based sequence, improves the practicability and robustness of the portable single-side MR system.
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Affiliation(s)
- Shiwei Yang
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China
| | - Xiao Chen
- Wuxi Marvel Stone Healthcare Co. Ltd, Wuxi, Jiangsu, China
| | - Suen Chen
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China
| | - Hao Chen
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China
| | - Yue Zhao
- Wuxi Marvel Stone Healthcare Co. Ltd, Wuxi, Jiangsu, China
| | - Ziyue Wu
- Wuxi Marvel Stone Healthcare Co. Ltd, Wuxi, Jiangsu, China
| | - Hai Luo
- Wuxi Marvel Stone Healthcare Co. Ltd, Wuxi, Jiangsu, China
| | - Zhiyong Zhang
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China
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5
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Dennis A. Quantitative imaging tests for non-alcoholic fatty liver disease: which, when and why. Transl Gastroenterol Hepatol 2023; 8:1. [PMID: 36704644 PMCID: PMC9813660 DOI: 10.21037/tgh-22-85] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Accepted: 10/11/2022] [Indexed: 11/09/2022] Open
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Nogami A, Yoneda M, Iwaki M, Kobayashi T, Kessoku T, Honda Y, Ogawa Y, Imajo K, Higurashi T, Hosono K, Kirikoshi H, Saito S, Nakajima A. Diagnostic comparison of vibration-controlled transient elastography and MRI techniques in overweight and obese patients with NAFLD. Sci Rep 2022; 12:21925. [PMID: 36535977 PMCID: PMC9763419 DOI: 10.1038/s41598-022-25843-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 12/06/2022] [Indexed: 12/23/2022] Open
Abstract
Non-invasive imaging techniques have greatly advanced the assessment of liver fibrosis and steatosis but are not fully evaluated in overweight patients. We evaluated the diagnostic performance of vibration-controlled transient elastography (VCTE) and magnetic resonance elastography (MRE) to assess fibrosis and controlled attenuation parameter (CAP) and MR imaging (MRI)-proton density fat fraction (MRI-PDFF) to assess steatosis in overweight and obese patients with non-alcoholic fatty liver disease (NAFLD). We included 163 biopsy-proven patients with NAFLD who underwent VCTE, MRE/MRI-PDFF, and liver biopsy (years 2014-2020) who were classified according to their body mass index (BMI) as normal (BMI < 25 kg/m2, n = 38), overweight (25 ≤ BMI < 30 kg/m2, n = 68), and obese (BMI ≥ 30 kg/m2, n = 57). VCTE and MRE detected fibrosis of stages ≥ 2, ≥ 3, and 4 with an area under the receiver operating curve (AUROC) of 0.83-0.94 (VCTE) and 0.85-0.95 (MRE) in all groups, without considerable differences. MRI-PDFF detected steatosis of grades ≥ 2 and 3 with high AUROC in all groups (0.81-1.00). CAP's diagnostic ability (0.63-0.95) was lower than that of MRI-PDFF and decreased with increasing BMI compared to MRI-PDFF. VCTE and MRE similarly accurately assess fibrosis, although MRI-PDFF is more accurate than CAP in detecting steatosis in overweight and obese patients with NAFLD.
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Affiliation(s)
- Asako Nogami
- grid.268441.d0000 0001 1033 6139Department of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawaku, Yokohama, 236-0004 Japan
| | - Masato Yoneda
- grid.268441.d0000 0001 1033 6139Department of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawaku, Yokohama, 236-0004 Japan
| | - Michihiro Iwaki
- grid.268441.d0000 0001 1033 6139Department of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawaku, Yokohama, 236-0004 Japan
| | - Takashi Kobayashi
- grid.268441.d0000 0001 1033 6139Department of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawaku, Yokohama, 236-0004 Japan
| | - Takaomi Kessoku
- grid.268441.d0000 0001 1033 6139Department of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawaku, Yokohama, 236-0004 Japan ,Department of Palliative Care, International University of Health and Welfare Narita Hospital, 852 Hatakeda Narita, Chiba, 286-8520 Japan
| | - Yasushi Honda
- grid.268441.d0000 0001 1033 6139Department of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawaku, Yokohama, 236-0004 Japan
| | - Yuji Ogawa
- grid.268441.d0000 0001 1033 6139Department of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawaku, Yokohama, 236-0004 Japan ,grid.416698.4Department of Gastroenterology, National Hospital Organization Yokohama Medical Center, 3-60-2 Harajuku, Totsukaku, Yokohama, 245-8575 Japan
| | - Kento Imajo
- grid.268441.d0000 0001 1033 6139Department of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawaku, Yokohama, 236-0004 Japan ,Department of Gastroenterology and Endoscopy, Shinyurigaoka General Hospital, 255 Furusawatsuko, Asoku, Kawasaki, 215-0026 Japan
| | - Takuma Higurashi
- grid.268441.d0000 0001 1033 6139Department of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawaku, Yokohama, 236-0004 Japan
| | - Kunihiro Hosono
- grid.268441.d0000 0001 1033 6139Department of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawaku, Yokohama, 236-0004 Japan
| | - Hiroyuki Kirikoshi
- grid.470126.60000 0004 1767 0473Clinical Laboratory Department, Yokohama City University Hospital, 3-9 Fukuura, Kanazawaku, Yokohama, 236-0004 Japan
| | - Satoru Saito
- grid.268441.d0000 0001 1033 6139Department of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawaku, Yokohama, 236-0004 Japan
| | - Atsushi Nakajima
- grid.268441.d0000 0001 1033 6139Department of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawaku, Yokohama, 236-0004 Japan
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7
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Andersson A, Kelly M, Imajo K, Nakajima A, Fallowfield JA, Hirschfield G, Pavlides M, Sanyal AJ, Noureddin M, Banerjee R, Dennis A, Harrison S. Clinical Utility of Magnetic Resonance Imaging Biomarkers for Identifying Nonalcoholic Steatohepatitis Patients at High Risk of Progression: A Multicenter Pooled Data and Meta-Analysis. Clin Gastroenterol Hepatol 2022; 20:2451-2461.e3. [PMID: 34626833 DOI: 10.1016/j.cgh.2021.09.041] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 09/22/2021] [Accepted: 09/28/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS Nonalcoholic fatty liver disease (NAFLD) is increasing in prevalence worldwide. NAFLD is associated with excess risk of all-cause mortality, and its progression to nonalcoholic steatohepatitis (NASH) and fibrosis accounts for a growing proportion of cirrhosis and hepatocellular cancer and thus is a leading cause of liver transplant worldwide. Noninvasive precise methods to identify patients with NASH and NASH with significant disease activity and fibrosis are crucial when the disease is still modifiable. The aim of this study was to examine the clinical utility of corrected T1 (cT1) vs magnetic resonance imaging (MRI) liver fat for identification of NASH participants with nonalcoholic fatty liver disease activity score ≥4 and fibrosis stage (F) ≥2 (high-risk NASH). METHODS Data from five clinical studies (n = 543) with participants suspected of NAFLD were pooled or used for individual participant data meta-analysis. The diagnostic accuracy of the MRI biomarkers to stratify NASH patients was determined using the area under the receiver operating characteristic curve (AUROC). RESULTS A stepwise increase in cT1 and MRI liver fat with increased NAFLD severity was shown, and cT1 was significantly higher in participants with high-risk NASH. The diagnostic accuracy (AUROC) of cT1 to identify patients with NASH was 0.78 (95% CI, 0.74-0.82), for liver fat was 0.78 (95% CI, 0.73-0.82), and when combined with MRI liver fat was 0.82 (95% CI, 0.78-0.85). The diagnostic accuracy of cT1 to identify patients with high-risk NASH was good (AUROC = 0.78; 95% CI, 0.74-0.82), was superior to MRI liver fat (AUROC = 0.69; 95% CI, 0.64-0.74), and was not substantially improved by combining it with MRI liver fat (AUROC = 0.79; 95% CI, 0.75-0.83). The meta-analysis showed similar performance to the pooled analysis for these biomarkers. CONCLUSIONS This study shows that quantitative MRI-derived biomarkers cT1 and liver fat are suitable for identifying patients with NASH, and cT1 is a better noninvasive technology than liver fat to identify NASH patients at greatest risk of disease progression. Therefore, MRI cT1 and liver fat have important clinical utility to help guide the appropriate use of interventions in NAFLD and NASH clinical care pathways.
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Affiliation(s)
| | - Matt Kelly
- Perspectum Ltd, Gemini One, Oxford, United Kingdom
| | - Kento Imajo
- Department of Gastroenterology and Hepatology, Yokohama City School of Medicine, Yokohama, Japan
| | - Atsushi Nakajima
- Department of Gastroenterology and Hepatology, Yokohama City School of Medicine, Yokohama, Japan
| | | | - Gideon Hirschfield
- Toronto Centre for Liver Disease, University Health Network, Toronto, Ontario, Canada
| | - Michael Pavlides
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, John Radcliffe Hospital, Oxford, United Kingdom; Translational Gastroenterology Unit, John Radcliffe Hospital, Oxford, United Kingdom; National Institute for Health Research (NIHR) Biomedical Research Centre, University of Oxford, Oxford, United Kingdom
| | - Arun J Sanyal
- Department of Internal Medicine, Virginia Commonwealth University School of Medicine, Richmond, Virgina
| | - Mazen Noureddin
- Karsh Division of Gastroenterology and Hepatology, Comprehensive Transplant Center, Cedars Sinai Medical Center, Los Angeles, California
| | | | | | - Stephen Harrison
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, John Radcliffe Hospital, Oxford, United Kingdom
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Muacevic A, Adler JR. Accuracy of Ultrasonography vs. Elastography in Patients With Non-alcoholic Fatty Liver Disease: A Systematic Review. Cureus 2022; 14:e29967. [PMID: 36381908 PMCID: PMC9637432 DOI: 10.7759/cureus.29967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 10/05/2022] [Indexed: 01/25/2023] Open
Abstract
Ultrasonography and elastography are the most widely used imaging modalities for diagnosing non-alcoholic fatty liver disease. This study aimed to assess and compare the diagnostic accuracy in patients with non-alcoholic fatty liver disease/non-alcoholic steatohepatitis. This systematic review was based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A systematic search was done for the past seven years using Pubmed, Pubmed Central, Cochrane, and Google Scholar databases on Jun 29, 2022. Studies were included based on the following predefined criteria: observational studies, randomized controlled trial (RCT), comparative studies, studies using liver biopsy or MRI proton density fat fraction (MRI PDFF) as a reference standard, ultrasonography, and elastography with measures of their diagnostic accuracy like sensitivity (SN), specificity (SP), area under the receiver operating characteristic (AUROC) curve, and English language. The data were extracted on a predefined template. The final twelve eligible studies were assessed using the quality assessment of diagnostic accuracy tool (QUADS-2). Most studies focused on elastography techniques, and the remaining focused on quantitative ultrasonography methods like the controlled attenuation parameter (CAP) and attenuation coefficient (AC). Only one study was available for the evaluation of qualitative ultrasonography. MRI was generally found superior to other diagnostic tests for determining liver stiffness through magnetic resonance elastography (MRE) and steatosis through MRI PDFF. Data assessing the comparative diagnostic accuracy of the two tests were inconclusive.
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9
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Bozic D, Podrug K, Mikolasevic I, Grgurevic I. Ultrasound Methods for the Assessment of Liver Steatosis: A Critical Appraisal. Diagnostics (Basel) 2022; 12:2287. [PMID: 36291976 PMCID: PMC9600709 DOI: 10.3390/diagnostics12102287] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 09/14/2022] [Accepted: 09/17/2022] [Indexed: 08/10/2023] Open
Abstract
The prevalence of the non-alcoholic fatty liver disease has reached major proportions, being estimated to affect one-quarter of the global population. The reference techniques, which include liver biopsy and the magnetic resonance imaging proton density fat fraction, have objective practical and financial limitations to their routine use in the detection and quantification of liver steatosis. Therefore, there has been a rising necessity for the development of new inexpensive, widely applicable and reliable non-invasive diagnostic tools. The controlled attenuation parameter has been considered the point-of-care technique for the assessment of liver steatosis for a long period of time. Recently, many ultrasound (US) system manufacturers have developed proprietary software solutions for the quantification of liver steatosis. Some of these methods have already been extensively tested with very good performance results reported, while others are still under evaluation. This manuscript reviews the currently available US-based methods for diagnosing and grading liver steatosis, including their classification and performance results, with an appraisal of the importance of this armamentarium in daily clinical practice.
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Affiliation(s)
- Dorotea Bozic
- Department of Gastroenterology and Hepatology, University Hospital Center Split, Spinčićeva 1, 21 000 Split, Croatia
| | - Kristian Podrug
- Department of Gastroenterology and Hepatology, University Hospital Center Split, Spinčićeva 1, 21 000 Split, Croatia
| | - Ivana Mikolasevic
- Department of Gastroenterology and Hepatology, University Hospital Center Rijeka, Krešimirova 42, 51 000 Rijeka, Croatia
| | - Ivica Grgurevic
- Department of Gastroenterology, Hepatology and Clinical Nutrition, University Hospital Dubrava, Avenija Gojka Šuška 6, 10 000 Zagreb, Croatia
- School of Medicine, University of Zagreb, Šalata 2, 10 000 Zagreb, Croatia
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10
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Rónaszéki AD, Budai BK, Csongrády B, Stollmayer R, Hagymási K, Werling K, Fodor T, Folhoffer A, Kalina I, Győri G, Maurovich-Horvat P, Kaposi PN. Tissue attenuation imaging and tissue scatter imaging for quantitative ultrasound evaluation of hepatic steatosis. Medicine (Baltimore) 2022; 101:e29708. [PMID: 35984128 PMCID: PMC9387959 DOI: 10.1097/md.0000000000029708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
We aimed to assess the feasibility of ultrasound-based tissue attenuation imaging (TAI) and tissue scatter distribution imaging (TSI) for quantification of liver steatosis in patients with nonalcoholic fatty liver disease (NAFLD). We prospectively enrolled 101 participants with suspected NAFLD. The TAI and TSI measurements of the liver were performed with a Samsung RS85 Prestige ultrasound system. Based on the magnetic resonance imaging proton density fat fraction (MRI-PDFF), patients were divided into ≤5%, 5-10%, and ≥10% of MRI-PDFF groups. We determined the correlation between TAI, TSI, and MRI-PDFF and used multiple linear regression analysis to identify any association with clinical variables. The diagnostic performance of TAI, TSI was determined based on the area under the receiver operating characteristic curve (AUC). The intraclass correlation coefficient (ICC) was calculated to assess interobserver reliability. Both TAI (rs = 0.78, P < .001) and TSI (rs = 0.68, P < .001) showed significant correlation with MRI-PDFF. TAI overperformed TSI in the detection of both ≥5% MRI-PDFF (AUC = 0.89 vs 0.87) and ≥10% (AUC = 0.93 vs 0.86). MRI-PDFF proved to be an independent predictor of TAI (β = 1.03; P < .001), while both MRI-PDFF (β = 50.9; P < .001) and liver stiffness (β = -0.86; P < .001) were independent predictors of TSI. Interobserver analysis showed excellent reproducibility of TAI (ICC = 0.95) and moderate reproducibility of TSI (ICC = 0.73). TAI and TSI could be used successfully to diagnose and estimate the severity of hepatic steatosis in routine clinical practice.
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Affiliation(s)
- Aladár D. Rónaszéki
- Department of Radiology, Medical Imaging Centre, Faculty of Medicine, Semmelweis University, Budapest, Hungary
- *Correspondence: Aladár D. Rónaszéki, MD, Department of Radiology, Medical Imaging Centre, Faculty of Medicine, Semmelweis University, Korányi Sándor str. 2., H-1082 Budapest, Hungary (e-mail: )
| | - Bettina K. Budai
- Department of Radiology, Medical Imaging Centre, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Barbara Csongrády
- Department of Radiology, Medical Imaging Centre, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Róbert Stollmayer
- Department of Radiology, Medical Imaging Centre, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Krisztina Hagymási
- Department of Surgery, Transplantation and Gastroenterology, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Klára Werling
- Department of Surgery, Transplantation and Gastroenterology, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Tamás Fodor
- Department of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Anikó Folhoffer
- Department of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Ildikó Kalina
- Department of Radiology, Medical Imaging Centre, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Gabriella Győri
- Department of Radiology, Medical Imaging Centre, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Pál Maurovich-Horvat
- Department of Radiology, Medical Imaging Centre, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Pál N. Kaposi
- Department of Radiology, Medical Imaging Centre, Faculty of Medicine, Semmelweis University, Budapest, Hungary
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Hui RWH, Chiu KWH, Mak LY, Chang HC, Cheung KS, Fung J, Yuen MF, Seto WK. Magnetic resonance imaging metrics and the predictability of adverse outcomes in on-treatment Asian chronic hepatitis B. J Gastroenterol Hepatol 2022; 37:1139-1147. [PMID: 35368120 DOI: 10.1111/jgh.15846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 02/21/2022] [Accepted: 03/20/2022] [Indexed: 12/09/2022]
Abstract
BACKGROUND AND AIM Liver fibrosis and steatosis are important factors affecting chronic hepatitis B (CHB) disease outcome. Multiparametric magnetic resonance (MR) imaging of the liver measures fibroinflammation, fat, and iron through iron-corrected T1 relaxation time (cT1), proton density fat fraction (PDFF), and T2*-weighted imaging, respectively. We assessed the utility of MR metrics for prognostication in CHB. METHODS Chronic hepatitis B patients receiving nucleos(t)ide analogs with advanced fibrosis documented by vibration-controlled transient elastography were recruited. Paired multiparametric MR liver and transient elastography were performed at baseline and after at least 2 years. Adverse outcomes including death, hepatocellular carcinoma (HCC), and liver decompensation were monitored. RESULTS One hundred and ninety-two patients (mean age 60.3 ± 8.5 years; 76.0% male) were recruited. Eight patients (4.2%) developed HCC after 11.6 (8.8-22.8) months, and increased baseline liver iron independently predicted HCC (hazard ratio 2.329 [1.030-5.266]; P = 0.042). Liver MR metrics were not predictive of death or hepatic decompensation. Among 150 patients with follow-up liver MR at 30.3 (25.2-35.6) months, longitudinal liver PDFF increase was associated with liver cT1 increase (odds ratio 1.571 [1.217-2.029]; P = 0.001). Ninety patients received simultaneous multiparametric MR pancreas during the follow-up MR. Pancreatic PDFF correlated with liver PDFF (r = 0.501, P < 0.001), while pancreatic T1 had no correlation with liver cT1 (r = -0.092, P = 0.479). Pancreatic T1 and PDFF were not associated with adverse outcomes. CONCLUSION Among CHB patients with advanced disease, liver iron level on MR predicts HCC. Multiparametric MR can also simultaneously assess the pancreas and the liver. Multiparametric MR should be further studied as a one-stop option for monitoring and prognosticating CHB.
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Affiliation(s)
- Rex Wan-Hin Hui
- Department of Medicine, The University of Hong Kong, Hong Kong
| | | | - Lung Yi Mak
- Department of Medicine, The University of Hong Kong, Hong Kong.,State Key Laboratory of Liver Research, The University of Hong Kong, Hong Kong
| | - Hing-Chiu Chang
- Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong
| | - Ka-Shing Cheung
- Department of Medicine, The University of Hong Kong, Hong Kong.,Department of Medicine, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
| | - James Fung
- Department of Medicine, The University of Hong Kong, Hong Kong.,State Key Laboratory of Liver Research, The University of Hong Kong, Hong Kong
| | - Man-Fung Yuen
- Department of Medicine, The University of Hong Kong, Hong Kong.,State Key Laboratory of Liver Research, The University of Hong Kong, Hong Kong
| | - Wai-Kay Seto
- Department of Medicine, The University of Hong Kong, Hong Kong.,State Key Laboratory of Liver Research, The University of Hong Kong, Hong Kong.,Department of Medicine, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China
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12
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Cusi K, Isaacs S, Barb D, Basu R, Caprio S, Garvey WT, Kashyap S, Mechanick JI, Mouzaki M, Nadolsky K, Rinella ME, Vos MB, Younossi Z. American Association of Clinical Endocrinology Clinical Practice Guideline for the Diagnosis and Management of Nonalcoholic Fatty Liver Disease in Primary Care and Endocrinology Clinical Settings: Co-Sponsored by the American Association for the Study of Liver Diseases (AASLD). Endocr Pract 2022; 28:528-562. [PMID: 35569886 DOI: 10.1016/j.eprac.2022.03.010] [Citation(s) in RCA: 320] [Impact Index Per Article: 160.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 03/11/2022] [Accepted: 03/11/2022] [Indexed: 02/07/2023]
Abstract
OBJECTIVE To provide evidence-based recommendations regarding the diagnosis and management of nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH) to endocrinologists, primary care clinicians, health care professionals, and other stakeholders. METHODS The American Association of Clinical Endocrinology conducted literature searches for relevant articles published from January 1, 2010, to November 15, 2021. A task force of medical experts developed evidence-based guideline recommendations based on a review of clinical evidence, expertise, and informal consensus, according to established American Association of Clinical Endocrinology protocol for guideline development. RECOMMENDATION SUMMARY This guideline includes 34 evidence-based clinical practice recommendations for the diagnosis and management of persons with NAFLD and/or NASH and contains 385 citations that inform the evidence base. CONCLUSION NAFLD is a major public health problem that will only worsen in the future, as it is closely linked to the epidemics of obesity and type 2 diabetes mellitus. Given this link, endocrinologists and primary care physicians are in an ideal position to identify persons at risk on to prevent the development of cirrhosis and comorbidities. While no U.S. Food and Drug Administration-approved medications to treat NAFLD are currently available, management can include lifestyle changes that promote an energy deficit leading to weight loss; consideration of weight loss medications, particularly glucagon-like peptide-1 receptor agonists; and bariatric surgery, for persons who have obesity, as well as some diabetes medications, such as pioglitazone and glucagon-like peptide-1 receptor agonists, for those with type 2 diabetes mellitus and NASH. Management should also promote cardiometabolic health and reduce the increased cardiovascular risk associated with this complex disease.
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Affiliation(s)
- Kenneth Cusi
- Guideine and Algorithm Task Forces Co-Chair, Division of Endocrinology, Diabetes and Metabolism, University of Florida, Gainesville, Florida
| | - Scott Isaacs
- Guideline and Algorithm Task Forces Co-Chair, Division of Endocrinology, Emory University School of Medicine, Atlanta, Georgia
| | - Diana Barb
- University of Florida, Gainesville, Florida
| | - Rita Basu
- Division of Endocrinology, University of Virginia School of Medicine, Charlottesville, Virginia
| | - Sonia Caprio
- Yale University School of Medicine, New Haven, Connecticut
| | - W Timothy Garvey
- Department of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, Alabama
| | | | - Jeffrey I Mechanick
- The Marie-Josee and Henry R. Kravis Center for Cardiovascular Health at Mount Sinai Heart, Icahn School of Medicine at Mount Sinai
| | | | - Karl Nadolsky
- Michigan State University College of Human Medicine, Grand Rapids, Michigan
| | - Mary E Rinella
- AASLD Representative, University of Pritzker School of Medicine, Chicago, Illinois
| | - Miriam B Vos
- Center for Clinical and Translational Research, Emory University School of Medicine, Children's Healthcare of Atlanta, Atlanta, Georgia
| | - Zobair Younossi
- AASLD Representative, Inova Medicine, Inova Health System, Falls Church, Virginia
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13
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Diagnostic Modalities of Non-Alcoholic Fatty Liver Disease: From Biochemical Biomarkers to Multi-Omics Non-Invasive Approaches. Diagnostics (Basel) 2022; 12:diagnostics12020407. [PMID: 35204498 PMCID: PMC8871470 DOI: 10.3390/diagnostics12020407] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 01/31/2022] [Accepted: 02/02/2022] [Indexed: 02/05/2023] Open
Abstract
Non-Alcoholic Fatty Liver Disease (NAFLD) is currently the most common cause of chronic liver disease worldwide, and its prevalence is increasing globally. NAFLD is a multifaceted disorder, and its spectrum includes steatosis to steatohepatitis, which may evolve to advanced fibrosis and cirrhosis. In addition, the presence of NAFLD is independently associated with a higher cardiometabolic risk and increased mortality rates. Considering that the vast majority of individuals with NAFLD are mainly asymptomatic, early diagnosis of non-alcoholic steatohepatitis (NASH) and accurate staging of fibrosis risk is crucial for better stratification, monitoring and targeted management of patients at risk. To date, liver biopsy remains the gold standard procedure for the diagnosis of NASH and staging of NAFLD. However, due to its invasive nature, research on non-invasive tests is rapidly increasing with significant advances having been achieved during the last decades in the diagnostic field. New promising non-invasive biomarkers and techniques have been developed, evaluated and assessed, including biochemical markers, imaging modalities and the most recent multi-omics approaches. Our article provides a comprehensive review of the currently available and emerging non-invasive diagnostic tools used in assessing NAFLD, also highlighting the importance of accurate and validated diagnostic tools.
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14
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Hockings PD, Mózes FE, Pavlides M. Editorial for "Assessment of Imaging Modalities Against Liver Biopsy in Nonalcoholic Fatty Liver Disease: The Amsterdam NAFLD-NASH Cohort". J Magn Reson Imaging 2021; 54:1950-1951. [PMID: 34189799 DOI: 10.1002/jmri.27808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 06/18/2021] [Indexed: 11/08/2022] Open
Affiliation(s)
- Paul D Hockings
- Antaros Medical, Mölndal, Sweden.,MedTech West, Chalmers University of Technology, Gothenburg, Sweden
| | - Ferenc E Mózes
- Oxford Centre for Clinical Magnetic Resonance Research, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Michael Pavlides
- Oxford Centre for Clinical Magnetic Resonance Research, Radcliffe Department of Medicine, University of Oxford, Oxford, UK.,Translational Gastroenterology Unit, Nuffield Department of Medicine, University of Oxford, Oxford, UK.,Oxford NIHR Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust and the University of Oxford, Oxford, UK
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