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Del Corso G, Pascali M, Caudai C, De Rosa L, Salvati A, Mancini M, Ghiadoni L, Bonino F, Brunetto M, Colantonio S, Faita F. ANN uncertainty estimates in assessing fatty liver content from ultrasound data. Comput Struct Biotechnol J 2024; 24:603-610. [PMID: 39421530 PMCID: PMC11483457 DOI: 10.1016/j.csbj.2024.09.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Revised: 09/26/2024] [Accepted: 09/26/2024] [Indexed: 10/19/2024] Open
Abstract
Background and objective This article uses three different probabilistic convolutional architectures applied to ultrasound image analysis for grading Fatty Liver Content (FLC) in Metabolic Dysfunction Associated Steatotic Liver Disease (MASLD) patients. Steatosis is a new silent epidemic and its accurate measurement is an impelling clinical need, not only for hepatologists, but also for experts in metabolic and cardiovascular diseases. This paper aims to provide a robust comparison between different uncertainty quantification strategies to identify advantages and drawbacks in a real clinical setting. Methods We used a classical Convolutional Neural Network, a Monte Carlo Dropout, and a Bayesian Convolutional Neural Network with the goal of not only comparing the goodness of the predictions, but also to have access to an evaluation of the uncertainty associated with the outputs. Results We found that even if the prediction based on a single ultrasound view is reliable (relative RMSE [5.93%-12.04%]), networks based on two ultrasound views outperform them (relative RMSE [5.35%-5.87%]). In addition, the results show that the introduction of a "not confident" category contributes to increase the percentage of correctly predicted cases and to decrease the percentage of mispredicted cases, especially for semi-intrusive methods. Conclusions The possibility of having access to information about the confidence with which the network produces its outputs is a great advantage, both from the point of view of physicians who want to use neural networks as computer-aided diagnosis, and for developers who want to limit overfitting and obtain information about dataset problems in terms of out-of-distribution detection.
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Affiliation(s)
- G. Del Corso
- Institute of Information Science and Technologies “A. Faedo” (ISTI) - National Research Council of Italy (CNR) - Pisa, Italy
| | - M.A. Pascali
- Institute of Information Science and Technologies “A. Faedo” (ISTI) - National Research Council of Italy (CNR) - Pisa, Italy
| | - C. Caudai
- Institute of Information Science and Technologies “A. Faedo” (ISTI) - National Research Council of Italy (CNR) - Pisa, Italy
| | - L. De Rosa
- Department of Information Engineering and Computer Science, University of Trento, Trento, Italy
- Institute of Clinical Physiology - National Research Council of Italy (CNR) - Pisa, Italy
| | - A. Salvati
- Hepatology Unit, Pisa University Hospital, Pisa, Italy
| | - M. Mancini
- Institute of Biostructure and Bioimaging, National Research Council, Naples, Italy
| | - L. Ghiadoni
- Emergency Medicine Unit, Department of Clinical and Experimental Medicine, University Hospital of Pisa, Pisa, Italy
| | - F. Bonino
- Institute of Biostructure and Bioimaging, National Research Council, Naples, Italy
| | - M.R. Brunetto
- Hepatology Unit, Pisa University Hospital, Pisa, Italy
- Institute of Biostructure and Bioimaging, National Research Council, Naples, Italy
- Department of Clinical and Experimental Medicine, Pisa University, Pisa, Italy
| | - S. Colantonio
- Institute of Information Science and Technologies “A. Faedo” (ISTI) - National Research Council of Italy (CNR) - Pisa, Italy
| | - F. Faita
- Institute of Clinical Physiology - National Research Council of Italy (CNR) - Pisa, Italy
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Wang X, Lyu L, Li W, Xu L, Zhang H, Wang S, Liu Y, Ping F, Li Y. Impact of rosuvastatin on metabolic syndrome patients with moderate to severe metabolic associated fatty liver disease without overt diabetes: A randomized clinical trial. Diabetes Metab Syndr 2024; 18:103126. [PMID: 39326342 DOI: 10.1016/j.dsx.2024.103126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 09/19/2024] [Accepted: 09/20/2024] [Indexed: 09/28/2024]
Abstract
OBJECTIVE This investigation aimed to evaluate the efficacy and safety of rosuvastatin in treating moderate to severe metabolic associated fatty liver disease (MAFLD). METHODS This prospective, open-label, randomized study included non-diabetic participants with metabolic syndrome and intrahepatocellular lipid (IHCL) levels >10 %, as determined by proton magnetic resonance spectroscopy (1H-MRS). The primary objective was the effect of a 52-week rosuvastatin treatment (10 mg/day) on IHCL content. Secondary objectives included the association between IHCL reduction and lipid metabolism parameters, along with safety indices such as glycemic control and hepatic and renal function. RESULTS Thirty-two participants completed the study. Rosuvastatin resulted in a significant absolute (△IHCL: 7.61 ± 4.51 vs. 1.54 ± 5.33, p = 0.002) and relative reduction in IHCL (△IHCL%: -42.28 ± 24.90 % vs. -8.91 ± 31.93 %, p = 0.003) compared to the control. Reduction in IHCL correlated significantly with decreases in low-density lipoprotein cholesterol (LDL-C) (r = 0.574, p < 0.01), apolipoprotein B (ApoB) (r = 0.660, p < 0.001), and free fatty acids (FFA) (r = 0.563, p = 0.005). No significant safety differences were observed between groups. CONCLUSIONS Rosuvastatin significantly reduced hepatic steatosis in individuals with moderate to severe MAFLD and metabolic syndrome over 52 weeks, while maintaining a favorable safety profile.
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Affiliation(s)
- Xuan Wang
- Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Lu Lyu
- Department of Allergy, Beijing Key Laboratory of Precision Medicine for Diagnosis and Treatment of Allergic Diseases, National Clinical Research Center for Dermatologic and Immunologic Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100730, China
| | - Wei Li
- Department of Endocrinology, Key Laboratory of Endocrinology of National Health Commission, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Lingling Xu
- Department of Endocrinology, Key Laboratory of Endocrinology of National Health Commission, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Huabing Zhang
- Department of Endocrinology, Key Laboratory of Endocrinology of National Health Commission, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Shitian Wang
- Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Yiwen Liu
- Department of Endocrinology, Key Laboratory of Endocrinology of National Health Commission, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Fan Ping
- Department of Endocrinology, Key Laboratory of Endocrinology of National Health Commission, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
| | - Yuxiu Li
- Department of Endocrinology, Key Laboratory of Endocrinology of National Health Commission, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
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Chen C, Zhang Y, Ding Z, Zhu S. Fatty Liver, Statin Therapy, and the Risk of Hypertriglyceridemic Acute Pancreatitis: A Retrospective Study. Pancreas 2024; 53:e323-e329. [PMID: 38345924 DOI: 10.1097/mpa.0000000000002305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/24/2024]
Abstract
OBJECTIVES Identifying patients with severe hypertriglyceridemia (HTG) who are prone to developing hypertriglyceridemic pancreatitis (HTGP) is essential for facilitating preventative interventions. This research aims to explore which part of the HTG patients is easy to develop into HTGP. MATERIALS AND METHODS An observational cohort study was conducted in patients with serum triglycerides (TGs) ≥ 5.65 mmol/L. Propensity score matching (PSM) and logistic regression were used to adjust for potential confounding factors. Receiver operating characteristic (ROC) curves were applied to evaluate the predictive potential for HTGP. RESULTS A total of 283 patients were included finally with a PSM cohort consisting of 55 HTGP matched with 77 non-HTGP. In multivariate logistic regression analysis, fatty liver (FL) (odds ratio, 2.535; P = 0.019) showed statistically significant association with HTGP, whereas statin use was correlated with a lower rate of HTGP (odds ratio, 0.203; P = 0.009). Finally, the ROC analysis showed that the TGs threshold thought to be causal of HTGP in patients with FL was significantly lower (9.31 vs 14.67 mmol/L) than that in patients without FL. CONCLUSIONS Although with lower TGs levels, patients with FL are much more prone to generate HTGP, and our findings suggest a potential role of statin as protective agents against HTGP.
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Affiliation(s)
| | - Yu Zhang
- Gastroenterology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang Province, China
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Song S, Kim H, Choi JI, Kim DH, Kim B, Lee H, Lee J. Validity of an automated screening Dixon technique for quantifying hepatic steatosis in living liver donors. Abdom Radiol (NY) 2024; 49:406-413. [PMID: 37801142 DOI: 10.1007/s00261-023-04009-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 07/11/2023] [Accepted: 07/13/2023] [Indexed: 10/07/2023]
Abstract
PURPOSE This retrospective study aimed to evaluate the validity of an automated screening Dixon (e-DIXON) technique for quantifying hepatic steatosis in living liver-donor patients by comparison with magnetic resonance spectroscopy (MRS) as a reference standard. METHODS A total of 285 living liver-donor candidates were examined with the e-DIXON technique and single-voxel MRS to assess hepatic steatosis and iron deposition between January 2014 and February 2019. The sensitivity, specificity, and positive and negative predictive values (PPV and NPV) of the e-DIXON technique for hepatic steatosis were calculated. The mean fat signal fractions obtained in MRS were compared between the donors diagnosed with hepatic steatosis and the normal group. The mean R2 values of donors with or without hepatic siderosis also were compared. RESULTS The e-DIXON technique diagnosed normal in 133 (47%), fat in 124 (44%), iron in one (0.4%), and a combination of both fat and iron in 27 (10%) donors. The sensitivity, specificity, PPV, and NPV for diagnosing hepatic steatosis were 94%, 70%, 64%, and 96%, respectively. There was a significant difference in the mean fat signal fraction obtained in MRS between the steatosis and normal groups (p < 0.001), but R2 values were not significantly different between siderosis and normal groups (p = 0.11). The e-DIXON technique showed a strong correlation with MRS in fat measurement (r2 = 0.92, p < 0.001). CONCLUSION The e-DIXON technique reliably screens for hepatic steatosis but may not accurate for detecting hepatic iron deposition.
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Affiliation(s)
- Sangkeun Song
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea
| | - Hokun Kim
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea.
| | - Joon-Il Choi
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea
- Cancer Research Institute, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, Republic of Korea
| | - Dong Hwan Kim
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea
| | - Bohyun Kim
- Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Republic of Korea
| | - Hyunsoo Lee
- Siemens Healthineers Ltd, Seoul, Republic of Korea
| | - Jiwon Lee
- Red Cross College of Nursing, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea
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Wang K, Cunha GM, Hasenstab K, Henderson WC, Middleton MS, Cole SA, Umans JG, Ali T, Hsiao A, Sirlin CB. Deep Learning for Inference of Hepatic Proton Density Fat Fraction From T1-Weighted In-Phase and Opposed-Phase MRI: Retrospective Analysis of Population-Based Trial Data. AJR Am J Roentgenol 2023; 221:620-631. [PMID: 37466189 DOI: 10.2214/ajr.23.29607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/20/2023]
Abstract
BACKGROUND. The confounder-corrected chemical shift-encoded MRI (CSE-MRI) sequence used to determine proton density fat fraction (PDFF) for hepatic fat quantification is not widely available. As an alternative, hepatic fat can be assessed by a two-point Dixon method to calculate signal fat fraction (FF) from conventional T1-weighted in- and opposed-phase (IOP) images, although signal FF is prone to biases, leading to inaccurate quantification. OBJECTIVE. The purpose of this study was to compare hepatic fat quantification by use of PDFF inferred from conventional T1-weighted IOP images and deep-learning convolutional neural networks (CNNs) with quantification by use of two-point Dixon signal FF with CSE-MRI PDFF as the reference standard. METHODS. This study entailed retrospective analysis of data from 292 participants (203 women, 89 men; mean age, 53.7 ± 12.0 [SD] years) enrolled at two sites from September 1, 2017, to December 18, 2019, in the Strong Heart Family Study (a prospective population-based study of American Indian communities). Participants underwent liver MRI (site A, 3 T; site B, 1.5 T) including T1-weighted IOP MRI and CSE-MRI (used to reconstruct CSE PDFF and CSE R2* maps). With CSE PDFF as reference, a CNN was trained in a random sample of 218 (75%) participants to infer voxel-by-voxel PDFF maps from T1-weighted IOP images; testing was performed in the other 74 (25%) participants. Parametric values from the entire liver were automatically extracted. Per-participant median CNN-inferred PDFF and median two-point Dixon signal FF were compared with reference median CSE-MRI PDFF by means of linear regression analysis, intraclass correlation coefficient (ICC), and Bland-Altman analysis. The code is publicly available at github.com/kang927/CNN-inference-of-PDFF-from-T1w-IOP-MR. RESULTS. In the 74 test-set participants, reference CSE PDFF ranged from 1% to 32% (mean, 11.3% ± 8.3% [SD]); reference CSE R2* ranged from 31 to 457 seconds-1 (mean, 62.4 ± 67.3 seconds-1 [SD]). Agreement metrics with reference to CSE PDFF for CNN-inferred PDFF were ICC = 0.99, bias = -0.19%, 95% limits of agreement (LoA) = (-2.80%, 2.71%) and for two-point Dixon signal FF were ICC = 0.93, bias = -1.11%, LoA = (-7.54%, 5.33%). CONCLUSION. Agreement with reference CSE PDFF was better for CNN-inferred PDFF from conventional T1-weighted IOP images than for two-point Dixon signal FF. Further investigation is needed in individuals with moderate-to-severe iron overload. CLINICAL IMPACT. Measurement of CNN-inferred PDFF from widely available T1-weighted IOP images may facilitate adoption of hepatic PDFF as a quantitative bio-marker for liver fat assessment, expanding opportunities to screen for hepatic steatosis and nonalcoholic fatty liver disease.
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Affiliation(s)
- Kang Wang
- Department of Radiology, Artificial Intelligence and Data Analytic Laboratory, University of California, San Diego, La Jolla, CA
- Department of Radiology, Liver Imaging Group, University of California, San Diego, La Jolla, CA
- Department of Radiology, Stanford University, 500 Pasteur Dr, Palo Alto, CA 94304
| | | | - Kyle Hasenstab
- Department of Radiology, Artificial Intelligence and Data Analytic Laboratory, University of California, San Diego, La Jolla, CA
- Department of Radiology, Liver Imaging Group, University of California, San Diego, La Jolla, CA
- Department of Mathematics and Statistics, San Diego State University, San Diego, CA
| | - Walter C Henderson
- Department of Radiology, Liver Imaging Group, University of California, San Diego, La Jolla, CA
| | - Michael S Middleton
- Department of Radiology, Liver Imaging Group, University of California, San Diego, La Jolla, CA
| | - Shelley A Cole
- Population Health, Texas Biomedical Research Institute, San Antonio, TX
| | - Jason G Umans
- MedStar Health Research Institute, Field Studies Division, Hyattsville, MD
- Georgetown-Howard Universities Center for Clinical and Translational Science, Washington, DC
| | - Tauqeer Ali
- Department of Biostatistics and Epidemiology, Center for American Indian Health Research, Hudson College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK
| | - Albert Hsiao
- Department of Radiology, Artificial Intelligence and Data Analytic Laboratory, University of California, San Diego, La Jolla, CA
| | - Claude B Sirlin
- Department of Radiology, Liver Imaging Group, University of California, San Diego, La Jolla, CA
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Collin R, Magnin B, Gaillard C, Nicolas C, Abergel A, Buchard B. Prospective study comparing hepatic steatosis assessment by magnetic resonance imaging and four ultrasound methods in 105 successive patients. World J Gastroenterol 2023; 29:3548-3560. [PMID: 37389233 PMCID: PMC10303516 DOI: 10.3748/wjg.v29.i22.3548] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 04/04/2023] [Accepted: 05/12/2023] [Indexed: 06/06/2023] Open
Abstract
BACKGROUND Non-alcoholic fatty liver disease (NAFLD) is becoming a major health problem, resulting in hepatic, metabolic and cardio-vascular morbidity.
AIM To evaluate new ultrasonographic tools to detect and measure hepatic steatosis.
METHODS We prospectively included 105 patients referred to our liver unit for NAFLD suspicion or follow-up. They underwent ultrasonographic measurement of liver sound speed estimation (SSE) and attenuation coefficient (AC) using Aixplorer MACH 30 (Supersonic Imagine, France), continuous controlled attenuation parameter (cCAP) using Fibroscan (Echosens, France) and standard liver ultrasound with hepato-renal index (HRI) calculation. Hepatic steatosis was then classified according to magnetic resonance imaging proton density fat fraction (PDFF). Receiver operating curve (ROC) analysis was performed to evaluate the diagnostic performance in the diagnosis of steatosis.
RESULTS Most patients were overweight or obese (90%) and had metabolic syndrome (70%). One third suffered from diabetes. Steatosis was identified in 85 patients (81%) according to PDFF. Twenty-one patients (20%) had advanced liver disease. SSE, AC, cCAP and HRI correlated with PDFF, with respective Spearman correlation coefficient of -0.39, 0.42, 0.54 and 0.59 (P < 0.01). Area under the receiver operating characteristic curve (AUROC) for detection of steatosis with HRI was 0.91 (0.83-0.99), with the best cut-off value being 1.3 (Se = 83%, Sp = 98%). The optimal cCAP threshold of 275 dB/m, corresponding to the recent EASL-suggested threshold, had a sensitivity of 72% and a specificity of 80%. Corresponding AUROC was 0.79 (0.66-0.92). The diagnostic accuracy of cCAP was more reliable when standard deviation was < 15 dB/m with an AUC of 0.91 (0.83-0.98). An AC threshold of 0.42 dB/cm/MHz had an AUROC was 0.82 (0.70-0.93). SSE performed moderately with an AUROC of 0.73 (0.62-0.84).
CONCLUSION Among all ultrasonographic tools evaluated in this study, including new-generation tools such as cCAP and SSE, HRI had the best performance. It is also the simplest and most available method as most ultrasound scans are equipped with this module.
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Affiliation(s)
- Remi Collin
- Gastroenterology and Endoscopy Unit, Dupuytren University Hospital, Limoges 87000, France
- Department of Hepatology and Gastroenterology, Clermont-Ferrand University Hospital, Clermont-Ferrand 63000, France
| | - Benoit Magnin
- Department of Radiology, Clermont-Ferrand University Hospital, Clermont-Ferrand 63000, France
| | - Constance Gaillard
- Department of Radiology, Clermont-Ferrand University Hospital, Clermont-Ferrand 63000, France
| | - Carine Nicolas
- Department of Hepatology and Gastroenterology, Clermont-Ferrand University Hospital, Clermont-Ferrand 63000, France
| | - Armand Abergel
- Department of Hepatology and Gastroenterology, Clermont-Ferrand University Hospital, Clermont-Ferrand 63000, France
| | - Benjamin Buchard
- Department of Hepatology and Gastroenterology, Clermont-Ferrand University Hospital, Clermont-Ferrand 63000, France
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De Munck TJI, Verhaegh P, Spooren C, Mujagic Z, Wienhold T, Jonkers D, Masclee AAM, Koek GH, Verbeek J. Colonic permeability is increased in non-cirrhotic patients with nonalcoholic fatty liver disease. Dig Liver Dis 2023; 55:614-621. [PMID: 36710170 DOI: 10.1016/j.dld.2022.12.022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 11/21/2022] [Accepted: 12/26/2022] [Indexed: 01/31/2023]
Abstract
BACKGROUND AND AIM Intestinal permeability (IP) plays an important role in the pathophysiology of nonalcoholic fatty liver disease (NAFLD). We assessed site-specific (gastroduodenum, small intestine, colon and whole gut) IP in NAFLD patients and healthy controls (HC) and its association with the degree of hepatic steatosis, hepatic fibrosis and dietary composition in these NAFLD patients. METHODS In vivo site-specific IP was analysed with a validated multi-sugar test in NAFLD patients and HC. Furthermore, in NAFLD patients, hepatic steatosis (chemical shift MRI), hepatic fibrosis (transient elastography) and dietary composition (food frequency questionnaire) were assessed. RESULTS Fifty-two NAFLD patients and forty-six HC were included in this study. Small intestinal (P <0.001), colonic (P = 0.004) and whole gut (P <0.001) permeability were increased in NAFLD patients compared to HC. Furthermore, colonic permeability (P = 0.029) was significantly higher in NAFLD patients with clinically significant fibrosis compared to those without. Colonic permeability remained positively associated with the presence of clinically significant fibrosis (P = 0.017) after adjustment for age, sex and BMI. CONCLUSION Colonic permeability is increased in at least a subset of NAFLD patients compared to HC and is independently associated with clinically significant NAFLD fibrosis.
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Affiliation(s)
- Toon J I De Munck
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, Maastricht University Medical Centre, Maastricht, the Netherlands; School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Maastricht, the Netherlands.
| | - Pauline Verhaegh
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, Maastricht University Medical Centre, Maastricht, the Netherlands; School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Maastricht, the Netherlands
| | - Corinne Spooren
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, Maastricht University Medical Centre, Maastricht, the Netherlands; School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Maastricht, the Netherlands
| | - Zlatan Mujagic
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, Maastricht University Medical Centre, Maastricht, the Netherlands; School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Maastricht, the Netherlands
| | - Tobias Wienhold
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Daisy Jonkers
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, Maastricht University Medical Centre, Maastricht, the Netherlands; School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Maastricht, the Netherlands
| | - Ad A M Masclee
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, Maastricht University Medical Centre, Maastricht, the Netherlands; School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Maastricht, the Netherlands
| | - Ger H Koek
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, Maastricht University Medical Centre, Maastricht, the Netherlands; School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Maastricht, the Netherlands
| | - Jef Verbeek
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, Maastricht University Medical Centre, Maastricht, the Netherlands; School of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University, Maastricht, the Netherlands; Department of Gastroenterology and Hepatology, University Hospitals KU Leuven, Leuven, Belgium
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Li YW, Jiao Y, Chen N, Gao Q, Chen YK, Zhang YF, Wen QP, Zhang ZM. How to select the quantitative magnetic resonance technique for subjects with fatty liver: A systematic review. World J Clin Cases 2022; 10:8906-8921. [PMID: 36157636 PMCID: PMC9477046 DOI: 10.12998/wjcc.v10.i25.8906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 05/25/2022] [Accepted: 07/22/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Early quantitative assessment of liver fat content is essential for patients with fatty liver disease. Mounting evidence has shown that magnetic resonance (MR) technique has high accuracy in the quantitative analysis of fatty liver, and is suitable for monitoring the therapeutic effect on fatty liver. However, many packaging methods and postprocessing functions have puzzled radiologists in clinical applications. Therefore, selecting a quantitative MR imaging technique for patients with fatty liver disease remains challenging. AIM To provide information for the proper selection of commonly used quantitative MR techniques to quantify fatty liver. METHODS We completed a systematic literature review of quantitative MR techniques for detecting fatty liver, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses protocol. Studies were retrieved from PubMed, Embase, and Cochrane Library databases, and their quality was assessed using the Quality Assessment of Diagnostic Studies criteria. The Reference Citation Analysis database (https:// www.referencecitationanalysis.com) was used to analyze citation of articles which were included in this review. RESULTS Forty studies were included for spectroscopy, two-point Dixon imaging, and multiple-point Dixon imaging comparing liver biopsy to other imaging methods. The advantages and disadvantages of each of the three techniques and their clinical diagnostic performances were analyzed. CONCLUSION The proton density fat fraction derived from multiple-point Dixon imaging is a noninvasive method for accurate quantitative measurement of hepatic fat content in the diagnosis and monitoring of fatty liver progression.
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Affiliation(s)
- You-Wei Li
- Department of Radiology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing 100144, China
| | - Yang Jiao
- Department of Rehabilitation Psychology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing 100144, China
| | - Na Chen
- Department of Otorhinolaryngology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing 100144, China
| | - Qiang Gao
- Department of Gastroenterology and Hepatology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing 100144, China
| | - Yu-Kun Chen
- Department of Radiology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing 100144, China
| | - Yuan-Fang Zhang
- Department of Radiology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing 100144, China
| | - Qi-Ping Wen
- Department of Radiology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing 100144, China
| | - Zong-Ming Zhang
- Department of General Surgery, Beijing Electric Power Hospital, State Grid Corporation of China, Capital Medical University, Beijing 100073, China
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Liu W, Li Z, Zhang X, Du J, Liang R, Ji Y, Tang W, Zhang X. CT Characteristics of Acute Pancreatitis with Preexisting Fatty Liver and Its Impact on Pancreatitis Severity and Persistent Systemic Inflammatory Response Syndrome. Int J Gen Med 2022; 15:7017-7028. [PMID: 36090708 PMCID: PMC9462438 DOI: 10.2147/ijgm.s382287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 08/29/2022] [Indexed: 11/23/2022] Open
Abstract
PURPOSE To study the CT characteristics of acute pancreatitis (AP) associated with preexisting fatty liver (FL) and the impact of preexisting FL on the severity of AP and persistent systemic inflammatory response syndrome (SIRS). PATIENTS AND METHODS A total of 189 patients with AP were divided into AP with and without preexisting FL. The CT features, clinical characteristics, severity of AP, and presence of persistent SIRS between the two groups were compared. Univariate and multivariate analyses were performed to determine the risk factors for predicting SIRS. The diagnostic performances of the risk factors were evaluated by receiver operating characteristic (ROC) curve analysis. RESULTS Among the 189 patients, 49.7% (94/189) had preexisting FL. On CT, AP patients with preexisting FL were more likely to develop necrosis (23.4% vs 10.5%, p=0.021), local complications (45.7% vs 29.5%, p=0.025) and persistent SIRS (59.6% vs 27.4%, p<0.001). Multivariate analysis showed that preexisting FL (OR=2.863, 95% CI: 1.264-6.486, p=0.012), APACHE II≥6 (OR=1.334, 95% CI: 1.117-1.594, p=0.002), and MCTSI ≥4 (OR=1.489, 95% CI: 1.046-2.119, p=0.027) could be independent risk factors for persistent SIRS. The areas under the ROC curve of preexisting FL, APACHE II, and MCISI in diagnosing AP patients with persistent SIRS were 0.664, 0.703, and 0.783, respectively. CONCLUSION Patients with preexisting FL were more likely to develop necrosis and local complications on CT and present more severe AP and persistent SIRS. Preexisting FL can be an independent risk factor in predicting the presence of persistent SIRS in patients with AP.
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Affiliation(s)
- Wei Liu
- Medical Imaging Key Laboratory of Sichuan Province and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, People’s Republic of China
| | - Zenghui Li
- Medical Imaging Key Laboratory of Sichuan Province and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, People’s Republic of China
| | - Xinyu Zhang
- Medical Imaging Key Laboratory of Sichuan Province and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, People’s Republic of China
| | - Juanjuan Du
- Medical Imaging Key Laboratory of Sichuan Province and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, People’s Republic of China
| | - Rui Liang
- Medical Imaging Key Laboratory of Sichuan Province and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, People’s Republic of China
| | - Yifan Ji
- Medical Imaging Key Laboratory of Sichuan Province and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, People’s Republic of China
| | - Wei Tang
- Medical Imaging Key Laboratory of Sichuan Province and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, People’s Republic of China
| | - Xiaoming Zhang
- Medical Imaging Key Laboratory of Sichuan Province and Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, People’s Republic of China
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10
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Cioni D, Gabelloni M, Sanguinetti A, De Rosa L, Aringhieri G, Tintori R, Candita G, Febi M, Faita F, Lencioni R, Neri E. A New SteatoScore in the Evaluation of Non-Alcoholic Liver Disease in Oncologic Patients. Front Oncol 2022; 12:873524. [PMID: 35574336 PMCID: PMC9093140 DOI: 10.3389/fonc.2022.873524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 03/28/2022] [Indexed: 11/13/2022] Open
Abstract
Purpose The aims of this study were to evaluate the reproducibility of a new multi-parametric steatoscore (new SteatoScore) in oncologic patients with non-alcoholic fatty liver disease (NAFLD) and to compare it with computed tomography (CT). Materials and Methods Fifty-one (31 men, 20 women) oncologic patients, with a mean age and weight of 63.9 years and 78.33 kg, respectively, were retrospectively enrolled in the study. Patients underwent ultrasound (US) and computed tomography (CT) examinations as part of their oncologic follow-up protocol. US examinations were performed by using a 3.5-MHz convex probe. During the US examination, three standardized clips were obtained in each patient. Two operators performed all measurements, one of whom repeated the processing twice in 1 year. Hepatic/renal ratio (HR), attenuation rate (AR), diaphragm visualization (DV), hepatic/portal vein ratio (HPV), and portal vein wall visualization (PVW) were acquired and calculated by using Matlab and inserted in a multi-parametric algorithm called new SteatoScore. On unenhanced CT scan, hepatic attenuation (HA), liver-spleen difference (L-S), and liver/spleen ratio (L/S) were measured by placement of a region of interest (ROI) within liver and spleen parenchyma, avoiding areas with vessels and biliary ducts. Results The intra-observer variability was greater than the inter-observer one, with intraclass correlation coefficient (ICC) values of 0.94 and 0.97, respectively. Correlation between single US and CT parameters provided an agreement in no case exceeding 50%. New SteatoScore showed high reproducibility, and high coefficient of correlation with L-S (R = -0.64; p < 0.0001) and L/S (R = -0.62; p < 0.0001) at CT. Conclusion New SteatoScore has a high reproducibility and shows a good correlation with unenhanced CT in evaluation of oncologic patients with NAFLD.
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Affiliation(s)
- Dania Cioni
- Department of Surgical, Medical, Molecular Pathology and Emergency Medicine, University of Pisa, Pisa, Italy
| | - Michela Gabelloni
- Academic Radiology, Department of Translational Research, University of Pisa, Pisa, Italy
| | - Andrea Sanguinetti
- Academic Radiology, Department of Translational Research, University of Pisa, Pisa, Italy
| | - Laura De Rosa
- Hepatology Unit, Pisa University Hospital, Pisa, Italy
| | - Giacomo Aringhieri
- Academic Radiology, Department of Translational Research, University of Pisa, Pisa, Italy
| | - Rachele Tintori
- Academic Radiology, Department of Translational Research, University of Pisa, Pisa, Italy
| | - Gianvito Candita
- Academic Radiology, Department of Translational Research, University of Pisa, Pisa, Italy
| | - Maria Febi
- Academic Radiology, Department of Translational Research, University of Pisa, Pisa, Italy
| | - Francesco Faita
- Institute of Clinical Physiology, National Research Council, Pisa, Italy
| | - Riccardo Lencioni
- Department of Surgical, Medical, Molecular Pathology and Emergency Medicine, University of Pisa, Pisa, Italy
| | - Emanuele Neri
- Academic Radiology, Department of Translational Research, University of Pisa, Pisa, Italy
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11
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Current Techniques and Future Trends in the Diagnosis of Hepatic Steatosis in Liver Donors: A Review. JOURNAL OF LIVER TRANSPLANTATION 2022. [DOI: 10.1016/j.liver.2022.100091] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
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12
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De Rosa L, Salvati A, Bonino F, Brunetto MR, Faita F. Effects of Different Scan Projections on the Quantitative Ultrasound-Based Evaluation of Hepatic Steatosis. Healthcare (Basel) 2022; 10:374. [PMID: 35206988 PMCID: PMC8872438 DOI: 10.3390/healthcare10020374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 01/28/2022] [Accepted: 02/11/2022] [Indexed: 02/04/2023] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is becoming a global public health issue and the identification of the steatosis severity is very important for the patients' health. Ultrasound (US) images of 214 patients were acquired in two different scan views (subcostal and intercostal). A classification of the level of steatosis was made by a qualitative evaluation of the liver ultrasound images. Furthermore, an US image processing algorithm provided quantitative parameters (hepatic-renal ratio (HR) and Steato-score) designed to quantifying the fatty liver content. The aim of the study is to evaluate the differences in the assessment of hepatic steatosis acquiring and processing different US scan views. No significant differences were obtained calculating the HR and the Steato-score parameters, not even with the classification of patients on the basis of body mass index (BMI) and of different classes of steatosis severity. Significant differences between the two parameters were found only for patients with absence or mild level of steatosis. These results show that the two different scan projections do not greatly affect HR and the Steato-score assessment. Accordingly, the US-based steatosis assessment is independent from the view of the acquisitions, thus making the subcostal and intercostal scans interchangeable, especially for patients with moderate and severe steatosis.
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Affiliation(s)
- Laura De Rosa
- Institute of Clinical Physiology, National Research Council, 56124 Pisa, Italy;
- Department of Information Engineering and Computer Science, University of Trento, 38122 Trento, Italy
| | - Antonio Salvati
- Hepatology Unit and Laboratory of Molecular Genetics and Pathology of Hepatitis Viruses, Reference Centre of the Tuscany Region for Chronic Liver Disease and Cancer, University Hospital of Pisa, 56124 Pisa, Italy; (A.S.); (M.R.B.)
| | - Ferruccio Bonino
- Institute of Biostructures and Bioimaging, National Research Council, 80145 Naples, Italy;
| | - Maurizia Rossana Brunetto
- Hepatology Unit and Laboratory of Molecular Genetics and Pathology of Hepatitis Viruses, Reference Centre of the Tuscany Region for Chronic Liver Disease and Cancer, University Hospital of Pisa, 56124 Pisa, Italy; (A.S.); (M.R.B.)
| | - Francesco Faita
- Institute of Clinical Physiology, National Research Council, 56124 Pisa, Italy;
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13
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Dietrich CG, Rau M, Geier A. Screening for nonalcoholic fatty liver disease-when, who and how? World J Gastroenterol 2021; 27:5803-5821. [PMID: 34629804 PMCID: PMC8475001 DOI: 10.3748/wjg.v27.i35.5803] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 05/13/2021] [Accepted: 08/30/2021] [Indexed: 02/06/2023] Open
Abstract
Nonalcoholic fatty liver disease (NAFLD) is becoming a frequent liver disease, especially in patients with metabolic syndrome and especially in Western countries. Complications of NAFLD comprise progressive fibrosis, cirrhosis and hepatocellular carcinoma. NAFLD also represents an independent risk factor for cardiovascular disease, extrahepatic neoplasia and other organ damage, such as renal insufficiency. Given the epidemiological importance of the disease, new developments in specific treatment of the disease and the wide availability of noninvasive techniques in estimating steatosis and fibrosis, NAFLD should be subject to screening programs, at least in countries with a high prevalence of the disease. The review discusses prerequisites for screening, cost-effectiveness, current guideline recommendations, suitability of techniques for screening and propositions for the following questions: Who should be screened? Who should perform screening? How should screening be performed? It is time for a screening program in patients at risk for NAFLD.
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Affiliation(s)
- Christoph G Dietrich
- Department of Internal Medicine, Bethlehem Health Center, Stolberg 52222, Germany
| | - Monika Rau
- Department of Internal Medicine II, University Hospital Würzburg, Würzburg 97080, Germany
| | - Andreas Geier
- Department of Medicine II, University Hospital Würzburg, Würzburg 97080, Germany
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14
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Does vitamin D replacement therapy cause a regression in fatty liver disease? A case control study of comparison of vitamin D and other common therapy modalities. JOURNAL OF SURGERY AND MEDICINE 2021. [DOI: 10.28982/josam.804878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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15
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Parker KJ, Ormachea J. The quantification of liver fat from wave speed and attenuation. Phys Med Biol 2021; 66. [PMID: 34192672 DOI: 10.1088/1361-6560/ac1023] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 06/30/2021] [Indexed: 12/19/2022]
Abstract
A framework is developed for estimating the volume fraction of fat in steatotic livers from viscoelastic measures of shear wave speed and attenuation. These measures are emerging on clinical ultrasound systems' elastography options so this approach can become widely available for assessing and monitoring steatosis. The framework assumes a distribution of fat vesicles as spherical inhomogeneities within the liver and uses a composite rheological model (Christensen 1969J. Mech. Phys. Solids1723-41) to determine the shear modulus as a function of increasing volume of fat within the liver. We show that accurate measurements of shear wave speed and attenuation provide the necessary and sufficient information to solve for the unknown fat volume and the underlying liver stiffness. Extension of the framework to compression wave measurements is also possible. Data from viscoelastic phantoms, human liver studies, and steatotic animal livers are shown to provide reasonable estimates of the volume fraction of fat.
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Affiliation(s)
- K J Parker
- Department of Electrical and Computer Engineering, University of Rochester, 724 Computer Studies Building, Box 270231, Rochester, NY 14627, United States of America
| | - J Ormachea
- Department of Electrical and Computer Engineering, University of Rochester, 724 Computer Studies Building, Box 270231, Rochester, NY 14627, United States of America
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16
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Quantification of bone marrow edema in rheumatoid arthritis by using high-speed T2-corrected multiecho acquisition of 1H magnetic resonance spectroscopy: a feasibility study. Clin Rheumatol 2021; 40:4639-4647. [PMID: 34155572 DOI: 10.1007/s10067-021-05764-x] [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: 10/31/2020] [Revised: 04/06/2021] [Accepted: 05/03/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVE To determine whether high-speed T2-corrected multiecho (HISTO) sequences can quantify bone marrow edema (BME) in the capitate bone in rheumatoid arthritis (RA), and whether the HISTO fat fraction (FF) reflects therapeutic effectiveness. METHODS In this prospective study, 25 RA patients (19 women; average age, 45.08 ± 13.48 years) underwent 3.0-T MRI with HISTO at the baseline and after 4, 8, and 12 weeks of treatment. Rheumatoid factor (RF), erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), platelet (PLT) count, and 28-joint Disease Activity Score using ESR (DAS28-ESR) were recorded on the day of each MRI examination by a rheumatologist blinded to the MRI findings. In addition, 21 healthy subjects (15 women; age, 49.17 ± 6.56 years) underwent only the HISTO sequence at a single time point. RESULTS HISTO FF values were significantly higher in the control group (74.5% ± 3.1%; range, 68.6-79.3%) than in the patient group (55.8% ± 17.7%; range, 15.6-79.0%) at the baseline (independent-samples t-test: t = 5.257, P = 0.000). The changes in HISTO FF and DAS28-ESR showed moderate negative correlations with each other at 4, 8, and 12 weeks, and all of them were statistically significant (P < 0.05). As the HISTO FF increased, the DAS28-ESR decreased. CONCLUSION The HISTO sequence can measure the bone marrow FF of the wrist joint bones in RA patients. The HISTO FF value increased as the DAS28-ESR decreased. The HISTO sequence may help quantify BME in RA and help monitor the effectiveness of RA treatment. Key Points •The HISTO sequence could measure the bone marrow FF of the wrist joint bones. •FF value increased as the DAS28-ESR decreased in RA patients. •The HISTO sequence can monitor the therapeutic effect of RA.
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17
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Lose Weight to Donate: Development of a Program to Optimize Potential Donors With Hepatic Steatosis or Obesity for Living Liver Donation. Transplant Direct 2021; 7:e702. [PMID: 34056077 PMCID: PMC8154492 DOI: 10.1097/txd.0000000000001161] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 03/24/2021] [Accepted: 03/26/2021] [Indexed: 12/11/2022] Open
Abstract
Background. Living donor liver transplantation offers an attractive option to reduce the waitlist mortality. However, in recent years, the rising prevalence of obesity and nonalcoholic fatty liver disease has posed a serious threat to the donor pool while simultaneously increasing demand for liver transplant. To our knowledge, there have been no major published studies in the United States documenting a diet and exercise intervention to expand the living donor pool. Hereby, we established a pilot program called “Lose Weight to Donate” and present our initial experience. Methods. Our center instituted a remotely monitored diet and exercise pilot program to increase eligibility for living liver donation. Potential donors with any of the following were included: body mass index >30 kg/m2, hepatic steatosis >5% on screening MRI, or isolated hypertension. Results. Over 19 mo, 7 individuals enrolled in the program of remote monitoring for at least 6–8 wk. Initial and follow-up abdominal MRI was performed in 5 of these individuals to assess steatosis, anatomy, and volume. Initial steatosis was highly variable (fat signal fraction range, 8%–26%). Follow-up MRI fat signal fraction values and hepatic volume all decreased to varying degrees. Ultimately, 2 of 7 individuals donated, whereas a third was approved, but the intended recipient was transplanted in the interim. Conclusions. These results indicate the feasibility of a remotely monitored program to expand donation in light of the rising incidence of hepatic steatosis and obesity.
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18
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Pasanta D, Htun KT, Pan J, Tungjai M, Kaewjaeng S, Kim H, Kaewkhao J, Kothan S. Magnetic Resonance Spectroscopy of Hepatic Fat from Fundamental to Clinical Applications. Diagnostics (Basel) 2021; 11:842. [PMID: 34067193 PMCID: PMC8151733 DOI: 10.3390/diagnostics11050842] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 04/29/2021] [Accepted: 05/06/2021] [Indexed: 02/06/2023] Open
Abstract
The number of individuals suffering from fatty liver is increasing worldwide, leading to interest in the noninvasive study of liver fat. Magnetic resonance spectroscopy (MRS) is a powerful tool that allows direct quantification of metabolites in tissue or areas of interest. MRS has been applied in both research and clinical studies to assess liver fat noninvasively in vivo. MRS has also demonstrated excellent performance in liver fat assessment with high sensitivity and specificity compared to biopsy and other imaging modalities. Because of these qualities, MRS has been generally accepted as the reference standard for the noninvasive measurement of liver steatosis. MRS is an evolving technique with high potential as a diagnostic tool in the clinical setting. This review aims to provide a brief overview of the MRS principle for liver fat assessment and its application, and to summarize the current state of MRS study in comparison to other techniques.
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Affiliation(s)
- Duanghathai Pasanta
- Center of Radiation Research and Medical Imaging, Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai 50200, Thailand; (D.P.); (K.T.H.); (J.P.); (M.T.); (S.K.)
| | - Khin Thandar Htun
- Center of Radiation Research and Medical Imaging, Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai 50200, Thailand; (D.P.); (K.T.H.); (J.P.); (M.T.); (S.K.)
| | - Jie Pan
- Center of Radiation Research and Medical Imaging, Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai 50200, Thailand; (D.P.); (K.T.H.); (J.P.); (M.T.); (S.K.)
- Shandong Provincial Key Laboratory of Animal Resistant Biology, College of Life Sciences, Shandong Normal University, Jinan 250014, China
| | - Montree Tungjai
- Center of Radiation Research and Medical Imaging, Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai 50200, Thailand; (D.P.); (K.T.H.); (J.P.); (M.T.); (S.K.)
| | - Siriprapa Kaewjaeng
- Center of Radiation Research and Medical Imaging, Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai 50200, Thailand; (D.P.); (K.T.H.); (J.P.); (M.T.); (S.K.)
| | - Hongjoo Kim
- Department of Physics, Kyungpook National University, Daegu 41566, Korea;
| | - Jakrapong Kaewkhao
- Center of Excellence in Glass Technology and Materials Science (CEGM), Nakhon Pathom Rajabhat University, Nakhon Pathom 73000, Thailand;
| | - Suchart Kothan
- Center of Radiation Research and Medical Imaging, Department of Radiologic Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai 50200, Thailand; (D.P.); (K.T.H.); (J.P.); (M.T.); (S.K.)
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19
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Huang TD, Behary J, Zekry A. Non-alcoholic fatty liver disease: a review of epidemiology, risk factors, diagnosis and management. Intern Med J 2021; 50:1038-1047. [PMID: 31760676 DOI: 10.1111/imj.14709] [Citation(s) in RCA: 133] [Impact Index Per Article: 33.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Revised: 09/14/2019] [Accepted: 10/15/2019] [Indexed: 12/13/2022]
Abstract
Due to the rising prevalence of obesity and type II diabetes mellitus, non-alcoholic fatty liver disease is becoming the leading cause of chronic liver disease in the Western world. In some patients, simple steatosis can result in non-alcoholic steatohepatitis which over time can lead to liver cirrhosis and its associated sequelae, including hepatocellular carcinoma. Early identification and management of patients at risk with intensive dietary and lifestyle modification are essential to prevent the development of advanced liver disease and its complications. In this review, we will discuss the epidemiology of non-alcoholic fatty liver disease, pathogenesis, diagnosis, management and surveillance strategies to offset the morbidity and mortality of this disease, as well as liver and non-liver-related complications.
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Affiliation(s)
- Tony Dazhong Huang
- Department of Gastroenterology and Hepatology, St George Hospital, Sydney, New South Wales, Australia.,St George and Sutherland Clinical School, UNSW Sydney, Sydney, New South Wales, Australia
| | - Jason Behary
- Department of Gastroenterology and Hepatology, St George Hospital, Sydney, New South Wales, Australia.,St George and Sutherland Clinical School, UNSW Sydney, Sydney, New South Wales, Australia
| | - Amany Zekry
- Department of Gastroenterology and Hepatology, St George Hospital, Sydney, New South Wales, Australia.,St George and Sutherland Clinical School, UNSW Sydney, Sydney, New South Wales, Australia
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20
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Ooi DSQ, Ling JQR, Sadananthan SA, Velan SS, Ong FY, Khoo CM, Tai ES, Henry CJ, Leow MKS, Khoo EYH, Tan CS, Lee YS, Chong MFF. Branched-Chain Amino Acid Supplementation Does Not Preserve Lean Mass or Affect Metabolic Profile in Adults with Overweight or Obesity in a Randomized Controlled Weight Loss Intervention. J Nutr 2021; 151:911-920. [PMID: 33537760 DOI: 10.1093/jn/nxaa414] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 06/18/2020] [Accepted: 12/01/2020] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Branched-chain amino acid (BCAA) supplementation has been shown to increase muscle mass or prevent muscle loss during weight loss. OBJECTIVE We aimed to investigate the effects of a BCAA-supplemented hypocaloric diet on lean mass preservation and insulin sensitivity. METHODS A total of 132 Chinese adults (63 men and 69 women aged 21-45 y, BMI 25-36 kg/m2) were block randomly assigned by gender and BMI into 3 hypocaloric diet (deficit of 500 kcal/d) groups: standard-protein (14%) with placebo (control, CT) or BCAA supplements at 0.1 g · kg-1 body weight · d-1 (BCAA) or high-protein (27%) with placebo (HP). The subjects underwent 16 wk of dietary intervention with provision of meals and supplements, followed by 8 wk of weight maintenance with provision of supplements only. One-way ANOVA analysis was conducted to analyze the primary (lean mass and insulin sensitivity) and secondary outcomes (anthropometric and metabolic parameters) among the 3 groups. Paired t-test was used to analyze the change in each group. RESULTS The 3 groups demonstrated similar significant reductions in body weight (7.97%), fat mass (13.8%), and waist circumference (7.27%) after 16 wk of energy deficit. Lean mass loss in BCAA (4.39%) tended to be lower than in CT (5.39%) and higher compared with HP (3.67%) (P = 0.06). Calf muscle volume increased 3.4% in BCAA and intramyocellular lipids (IMCLs) decreased in BCAA (17%) and HP (18%) (P < 0.05) over 16 wk. During the 8 wk weight maintenance period, lean mass gain in BCAA (1.03%) tended to be lower compared with CT (1.58%) and higher than in HP (-0.002%) (P = 0.04). Lean mass gain differed significantly between CT and HP (P = 0.03). Insulin sensitivity and metabolic profiles did not differ among the groups throughout the study period. CONCLUSIONS BCAA supplementation does not preserve lean mass or affect insulin sensitivity in overweight and obese adults during weight loss. A higher protein diet may be more advantageous for lean mass preservation.
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Affiliation(s)
- Delicia S Q Ooi
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore
| | - Jennifer Q R Ling
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore
| | - Suresh Anand Sadananthan
- Clinical Nutrition Research Center, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
| | - S Sendhil Velan
- Clinical Nutrition Research Center, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore.,Singapore Bioimaging Consortium, Agency for Science, Technology and Research, Singapore
| | - Fang Yi Ong
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore
| | - Chin Meng Khoo
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - E Shyong Tai
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Christiani Jeyakumar Henry
- Clinical Nutrition Research Center, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
| | - Melvin K S Leow
- Clinical Nutrition Research Center, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore.,Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore.,Department of Endocrinology, Division of Medicine, Tan Tock Seng Hospital, Singapore
| | - Eric Y H Khoo
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Chuen Seng Tan
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Yung Seng Lee
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore.,Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
| | - Mary F F Chong
- Clinical Nutrition Research Center, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore.,Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore, Singapore
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21
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Attenuation Imaging with Ultrasound as a Novel Evaluation Method for Liver Steatosis. J Clin Med 2021; 10:jcm10050965. [PMID: 33801163 PMCID: PMC7957732 DOI: 10.3390/jcm10050965] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Revised: 02/18/2021] [Accepted: 02/18/2021] [Indexed: 12/12/2022] Open
Abstract
In recent years, ultrasound attenuation imaging (ATI) has emerged as a new method to detect liver steatosis. However, thus far, no studies have confirmed the clinical utility of this technology. Using a retrospective database analysis of 28 patients with chronic liver disease who underwent ultrasound liver biopsy and ATI, we compared the presence and degree of steatosis measured by ATI with the results obtained through liver biopsy. The area under the receiver operating characteristic curve (AUROC) of the ATI for differentiating between normal and hepatic steatosis was 0.97 (95% confidence interval: 0.83–1.00). The AUROC of the ATI was 0.99 (95% confidence interval: 0.86–1.00) in grade ≥2 liver steatosis and 0.97 (95% confidence interval: 0.82–1.00) in grade 3. ATI showed good consistency and accuracy for the steatosis grading of liver biopsy. Therefore, ATI represents a novel diagnostic measurement to support the diagnosis of liver steatosis in non-invasive clinical practice.
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Labyed Y, Milkowski A. Novel Method for Ultrasound-Derived Fat Fraction Using an Integrated Phantom. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2020; 39:2427-2438. [PMID: 32525261 DOI: 10.1002/jum.15364] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 05/11/2020] [Accepted: 05/14/2020] [Indexed: 06/11/2023]
Abstract
OBJECTIVES The purpose of this study was to demonstrate the clinical feasibility of an integrated reference phantom method for quantitative ultrasound by creating an ultrasound-derived fat fraction (UDFF) tool. This tool was evaluated with respect to its diagnostic performance as a biomarker for assessing histologic hepatic steatosis and its agreement with the magnetic resonance imaging (MRI) proton density fat fraction (PDFF). METHODS Adults (n = 101) with known or suspected nonalcoholic fatty liver disease consented to participate in this prospective cross-sectional study. All patients underwent MRI-PDFF and ultrasound scans, whereas 90 underwent liver biopsy. A linear least-squares analysis used the attenuation coefficient and backscatter coefficient to create the UDFF model for predicting MRI-PDFF. RESULTS The area under the receiver operating characteristic curve values were 0.94 (95% confidence interval [CI], 0.85-0.98) for histologic steatosis grade 0 (n = 6) versus 1 or higher (n = 84), 0.88 (95% CI, 0.8-0.94) for grade 1 or lower (n = 45) versus 2 or higher (n = 45), and 0.83 (95% CI, 0.73-0.9) for grade 2 or lower (n = 78) versus 3 (n = 12). The Pearson correlation coefficient between UDFF and PDFF was ρ = 0.87 with 95% limits of agreement of ±8.5%. Additionally, the diagnosis of steatosis, defined as MRI-PDFF higher than 5% and 10%, had area under the receiver operating characteristic curve values of 0.97 (95% CI, 0.93-0.99) and 0.95 (95% CI, 0.9-0.98), respectively. The body mass index was not correlated with either UDFF or PDFF. CONCLUSIONS An on-system, integrated UDFF tool provides a simple, noninvasive, accessible, low-cost, and commercially viable clinical tool for quantifying the hepatic fat fraction with a high degree of agreement with histologic biopsy or the MRI-PDFF biomarker.
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Affiliation(s)
- Yassin Labyed
- Ultrasound Division, Siemens Healthineers, Issaquah, Washington, USA
| | - Andy Milkowski
- Ultrasound Division, Siemens Healthineers, Issaquah, Washington, USA
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Burhans MS, Balu N, Schmidt KA, Cromer G, Utzschneider KM, Schur EA, Holte SE, Randolph TW, Kratz M. Impact of the Analytical Approach on the Reliability of MRI-Based Assessment of Hepatic Fat Content. Curr Dev Nutr 2020; 4:nzaa171. [PMID: 33381677 PMCID: PMC7751946 DOI: 10.1093/cdn/nzaa171] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Revised: 10/15/2020] [Accepted: 11/13/2020] [Indexed: 12/16/2022] Open
Abstract
MRI is a popular noninvasive method for the assessment of liver fat content. After MRI scan acquisition, there is currently no standardized image analysis procedure for the most accurate estimate of liver fat content. We determined intraindividual reliability of MRI-based liver fat measurement using 10 different MRI slice analysis methods in normal-weight, overweight, and obese individuals who underwent 2 same-day abdominal MRI scans. We also compared the agreement in liver fat content between analytical methods and assessed the variability in fat content across the entire liver. Our results indicate that liver fat content varies across the liver, with some slices averaging 54% lower and others 75% higher fat content than the mean of all slices (gold standard). Our data suggest that the entire liver should be contoured on at least every 10th slice to achieve close agreement with the gold standard.
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Affiliation(s)
- Maggie S Burhans
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Niranjan Balu
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Kelsey A Schmidt
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Gail Cromer
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Kristina M Utzschneider
- VA Puget Sound Health Care System, Seattle, Washington, WA, USA
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Ellen A Schur
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Sarah E Holte
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Timothy W Randolph
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Mario Kratz
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Medicine, University of Washington, Seattle, WA, USA
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Cruz M, Ferreira AA, Papanikolaou N, Banerjee R, Alves FC. New boundaries of liver imaging: from morphology to function. Eur J Intern Med 2020; 79:12-22. [PMID: 32571581 DOI: 10.1016/j.ejim.2020.06.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 05/20/2020] [Accepted: 06/04/2020] [Indexed: 12/12/2022]
Abstract
From an invisible organ to one of the most explored non-invasively, the liver is, today, one of the cornerstones for current cross-sectional imaging techniques and minimally invasive procedures. After the achievements of US, CT and, most recently, MRI in providing highly accurate morphological and structural information about the organ, a significant scientific development has gained momentum for the last decades, coupling morphology to liver function and contributing far most to what we know today as precision medicine. In fact, dedicated tailor-made investigations are now possible in order to detect and, most of all, quantify physiopathological processes with unprecedented certitude. It is the intention of this review to provide a better insight to the reader of several functional imaging techniques applied to liver imaging. Contrast enhanced imaging, diffusion weighted imaging, elastography, spectral computed tomography and fat and iron assessment techniques are commonly performed clinically. Diffusion kurtosis imaging, magnetic resonance spectroscopy, T1 relaxometry and radiomics remain largely limited to advanced clinical research. Each of them has its own value and place on the diagnostic armamentarium and provide unique qualitative and quantitative information regarding the pathophysiology of diseases, contributing at a large scale to model therapeutic decisions and patient follow-up. Therefore, state-of-the-art liver imaging acts today as a non-invasive surrogate biomarker of many focal and diffuse liver diseases.
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Affiliation(s)
- Manuel Cruz
- Department of Radiology, Faculty of Medicine, University Hospital Coimbra and CIBIT/ICNAS research center, University of Coimbra, Coimbra, Portugal.
| | - Ana Aguiar Ferreira
- Department of Radiology, Faculty of Medicine, University Hospital Coimbra and CIBIT/ICNAS research center, University of Coimbra, Coimbra, Portugal
| | - Nikolaos Papanikolaou
- Computational Clinical Imaging Group, Centre for the Unknown, Champalimaud Foundation, Lisbon, Portugal
| | - Rajarshi Banerjee
- Department of Acute Medicine, Oxford University Hospitals NHS Trust, Oxford, United Kingdom
| | - Filipe Caseiro Alves
- Department of Radiology, Faculty of Medicine, University Hospital Coimbra and CIBIT/ICNAS research center, University of Coimbra, Coimbra, Portugal
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Physical activity intervention for non-diabetic patients with non-alcoholic fatty liver disease: a meta-analysis of randomized controlled trials. BMC Gastroenterol 2020; 20:66. [PMID: 32164541 PMCID: PMC7066783 DOI: 10.1186/s12876-020-01204-3] [Citation(s) in RCA: 38] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Accepted: 02/23/2020] [Indexed: 12/12/2022] Open
Abstract
Background Non-alcoholic fatty liver disease (NAFLD) is currently the most common cause of chronic liver disease nowadays. Changes in diet and lifestyle have led to a dramatic increase in the prevalence of NAFLD around the world. This meta-analysis is to investigate the efficacy of physical activity intervention on liver-specific endpoints in the population with NAFLD, including hepatic enzyme, serum lipid, glucose metabolism and intra-hepatic lipid. Methods PubMed and China National Knowledge Infrastructure (CNKI) databases were searched for randomized clinical trials of physical activity intervention on NAFLD patients through April 20th, 2019. Effect sizes were reported as standardized mean difference (SMD) and 95% confidence intervals (CI). Quality of included studies was assessed according to the Cochrane risk of bias tool. Meta-analyses were conducted using random-effect or fixed-effect models depending on the significance of heterogeneity. Subgroup analyses according to types and duration of physical activity were conducted to investigate clinical variability. Results Nine studies with a cumulative total of 951 participants met selection criteria. Physical activity was found associated with small reductions in hepatic enzyme parameters: ALT (SMD -0.17, 95% CI:-0.30 to − 0.05), AST (SMD -0.25, 95% CI: − 0.38, − 0.13) and GGT (SMD -0.22, 95% CI: − 0.36, − 0.08). Significant small improvements were also found in serum lipid parameters including TC (SMD = − 0.22, 95% CI: − 0.34, − 0.09), TG (SMD = − 0.18, 95% CI: − 0.31 to − 0.06) and LDL-C (SMD = − 0.26, 95% CI: − 0.39 to − 0.13). Significant improvement was also found in intra-hepatic lipid content (SMD = − 0.21, 95% CI: − 0.36 to − 0.06) There was no difference between physical intervention group and control group in HDL and three glucose metabolism parameters. Subgroup analysis suggested both aerobic exercise alone and resistance exercise alone can improve most liver function and longer period of exercise generally had better improvement effect. Conclusions Our findings suggest that physical activity alone can only slightly improve hepatic enzyme levels, most serum lipid levels and intra-hepatic lipid content in non-diabetic patients with NAFLD.
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Igarashi H, Shigiyama F, Wakui N, Nagai H, Shibuya K, Shiraga N, Hirose T, Kumashiro N. Whole hepatic lipid volume quantification and color mapping by multi-slice and multi-point magnetic resonance imaging. Hepatol Res 2019; 49:1374-1385. [PMID: 31313870 DOI: 10.1111/hepr.13408] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Revised: 07/04/2019] [Accepted: 07/11/2019] [Indexed: 01/08/2023]
Abstract
AIM Current approaches for hepatic steatosis assess only a small point within the liver and might cause inaccuracy for longitudinal observation. We aimed to establish a reliable non-invasive method for whole hepatic lipid content evaluation. METHODS A total of 52 patients with hepatic steatosis underwent liver biopsy. Hepatic lipid content was assessed by Dixon in-phase/out-of-phase magnetic resonance imaging and proton magnetic resonance spectroscopy. Using multi-slice and multi-point magnetic resonance imaging, we calculated the lipid intensity of every voxel throughout the liver and showed the color-mapped lipid distributions. This new analysis could also quantify the whole hepatic lipid and whole liver volumes absolutely. The diagnostic performance of hepatic lipid content between the new analysis and proton magnetic resonance spectroscopy methods was compared by receiver operating characteristic curve analysis referring to the steatosis scores of the liver biopsy. RESULTS Areas under the receiver operating characteristic for the diagnosis of steatosis scores ≥1, ≥2, and ≥3 using magnetic resonance imaging and proton magnetic resonance spectroscopy were 0.86 (95% confidence interval [CI] 0.70-1.00) and 0.98 (95% CI 0.93-1.00), 0.94 (95% CI 0.87-1.00) and 0.93 (95% CI 0.86-1.00), and 0.95 (95% CI 0.89-1.00) and 0.97 (95% CI 0.93-1.00), respectively, showing comparable diagnostic accuracies. However, color mapping showed some inconsistencies between the methods. CONCLUSIONS We described a non-invasive and repeatable evaluation method of whole hepatic lipid accumulation with absolute quantification and color mapping. Hepatic steatosis was accurately evaluated regardless of heterogeneous lipid accumulation. The whole hepatic lean volume, reflecting the hepatic parenchymal condition, can also be determined by this method.
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Affiliation(s)
- Hiroyuki Igarashi
- Division of Diabetes, Metabolism, and Endocrinology, Department of Medicine, Toho University Graduate School of Medicine, Tokyo, Japan
| | - Fumika Shigiyama
- Division of Diabetes, Metabolism, and Endocrinology, Department of Medicine, Toho University Graduate School of Medicine, Tokyo, Japan
| | - Noritaka Wakui
- Division of Gastroenterology and Hepatology, Department of Medicine, Toho University Graduate School of Medicine, Tokyo, Japan
| | - Hidenari Nagai
- Division of Gastroenterology and Hepatology, Department of Medicine, Toho University Graduate School of Medicine, Tokyo, Japan
| | - Kazutoshi Shibuya
- Department of Surgical Pathology, Toho University Graduate School of Medicine, Tokyo, Japan
| | - Nobuyuki Shiraga
- Department of Radiology, Toho University Graduate School of Medicine, Tokyo, Japan
| | - Takahisa Hirose
- Division of Diabetes, Metabolism, and Endocrinology, Department of Medicine, Toho University Graduate School of Medicine, Tokyo, Japan
| | - Naoki Kumashiro
- Division of Diabetes, Metabolism, and Endocrinology, Department of Medicine, Toho University Graduate School of Medicine, Tokyo, Japan
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Arase Y, Shiraishi K, Anzai K, Sato H, Teramura E, Tsuruya K, Hirose S, Deguchi R, Toyoda M, Mine T, Kagawa T. Effect of Sodium Glucose Co-Transporter 2 Inhibitors on Liver Fat Mass and Body Composition in Patients with Nonalcoholic Fatty Liver Disease and Type 2 Diabetes Mellitus. Clin Drug Investig 2019; 39:631-641. [PMID: 30993553 PMCID: PMC6593121 DOI: 10.1007/s40261-019-00785-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
BACKGROUND AND OBJECTIVE Sodium glucose co-transporter 2 inhibitors increase urinary glucose excretion and reduce visceral adiposity and body weight, but their efficacy on patients with nonalcoholic fatty liver disease has not been sufficiently investigated. The aim of this study was to assess the effect of sodium glucose co-transporter 2 inhibitors on liver fat mass and body composition in patients with nonalcoholic fatty liver disease and type 2 diabetes mellitus. METHODS We retrospectively analyzed 17 patients with nonalcoholic fatty liver disease and type 2 diabetes who received sodium glucose co-transporter 2 inhibitors between November 2016 and July 2017. Changes in liver fat, subcutaneous and visceral fat, body composition, and liver function-related parameters were assessed after 24 weeks of sodium glucose co-transporter 2 inhibitor treatment and compared to baseline values. RESULTS Ten patients received dapagliflozin at 5 mg/day and seven patients received canagliflozin at 100 mg/day for 24 weeks. All patients completed the study without any serious adverse effects and achieved body weight loss and improved glycated hemoglobin levels. Liver fat mass evaluated by proton magnetic resonance spectroscopy was significantly reduced (19.1% vs. 9.2%, p < 0.01), and so were both subcutaneous and visceral fat mass. The body fat/body weight ratio decreased, whereas the skeletal muscle mass/body weight ratio increased. Liver function (aspartate aminotransferase, alanine aminotransferase, and γ-glutamyl transpeptidase) improved significantly. CONCLUSIONS Sodium glucose co-transporter 2 inhibitor treatment not only improved glycemic control but also reduced liver fat mass in patients with nonalcoholic fatty liver disease and type 2 diabetes. Body weight loss was primarily attributable to a reduction in fat mass, especially visceral fat. Thus, sodium glucose co-transporter 2 inhibitors could potentially serve as a therapeutic agent for patients with nonalcoholic fatty liver disease and type 2 diabetes.
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Affiliation(s)
- Yoshitaka Arase
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, 259-1193, Japan.
- Division of Gastroenterology and Hepatology, Tokai University Oiso Hospital, Nakagun, Kanagawa, Japan.
| | - Koichi Shiraishi
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, 259-1193, Japan
- Division of Gastroenterology and Hepatology, Tokai University Tokyo Hospital, Tokyo, Japan
| | - Kazuya Anzai
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, 259-1193, Japan
- Division of Gastroenterology and Hepatology, Tokai University Oiso Hospital, Nakagun, Kanagawa, Japan
| | - Hirohiko Sato
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, 259-1193, Japan
- Division of Gastroenterology and Hepatology, Tokai University Oiso Hospital, Nakagun, Kanagawa, Japan
| | - Erika Teramura
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, 259-1193, Japan
- Division of Gastroenterology and Hepatology, Tokai University Oiso Hospital, Nakagun, Kanagawa, Japan
| | - Kota Tsuruya
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, 259-1193, Japan
| | - Shunji Hirose
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, 259-1193, Japan
| | - Ryuzo Deguchi
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, 259-1193, Japan
- Division of Gastroenterology and Hepatology, Tokai University Oiso Hospital, Nakagun, Kanagawa, Japan
| | - Masao Toyoda
- Division of Nephrology, Endocrinology and Metabolism, Department of Internal Medicine, Tokai University School of Medicine, Isehara, Kanagawa, Japan
| | - Tetsuya Mine
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, 259-1193, Japan
| | - Tatehiro Kagawa
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa, 259-1193, Japan
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Lee DH, Lee JY, Park MS, Han JK. Non-invasive monitoring of hepatic steatosis via acoustic structure quantification of ultrasonography with MR spectroscopy as the reference standard. Ultrasonography 2019; 39:70-78. [PMID: 31639886 PMCID: PMC6920624 DOI: 10.14366/usg.19002] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2019] [Accepted: 06/25/2019] [Indexed: 01/11/2023] Open
Abstract
Purpose The purpose of this study was to prospectively evaluate whether monitoring hepatic steatosis by ultrasonography with acoustic structure quantification (ASQ) is feasible, using magnetic resonance spectroscopy (MRS) as the reference standard. Methods Thirty-six patients with suspected fatty liver disease underwent both untrasonography with ASQ and MRS on the same day. After a mean follow-up period of 11.4±2.5 months, follow-up ultrasonography with ASQ and MRS were performed on 27 patients to evaluate whether hepatic steatosis had improved. The focal disturbance (FD) ratio, as calculated using ASQ, and the hepatic fat fraction (HFF), estimated by MRS, were obtained at both initial and follow-up examinations. Pearson correlation coefficients were calculated to assess the correlations between ordinal values. Results The FD ratio showed a strong, negative linear correlation with the HFF after logarithmic transformation of both variables from the initial examinations of 36 patients (ρ=-0.888, P<0.001) and the follow-up examinations of 27 patients (ρ=-0.920, P<0.001). There was also a significant, negative linear correlation between the change in the logarithm of the FD ratio and the change in the logarithm of the HFF by MRS over the follow-up period (ρ=-0.645, P<0.001). In 16 patients with an increased FD ratio on follow-up, the HFF on follow-up MRS significantly decreased, and high-density lipoprotein levels significantly increased, whereas low-density lipoprotein levels tended to decrease. Conclusion The FD ratio was significantly correlated with the HFF at both the initial and follow-up examinations, and there was also a significant correlation between changes in the FD ratio and changes in the HFF over the follow-up period.
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Affiliation(s)
- Dong Ho Lee
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
| | - Jae Young Lee
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Institute of Radiation Medicine, Seoul National University Hospital, Seoul, Korea
| | - Min Sun Park
- Department of Family Medicine, Seoul National University Hospital, Seoul, Korea
| | - Joon Koo Han
- Department of Radiology, Seoul National University Hospital, Seoul, Korea.,Institute of Radiation Medicine, Seoul National University Hospital, Seoul, Korea
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Zhou JH, Cai JJ, She ZG, Li HL. Noninvasive evaluation of nonalcoholic fatty liver disease: Current evidence and practice. World J Gastroenterol 2019; 25:1307-1326. [PMID: 30918425 PMCID: PMC6429343 DOI: 10.3748/wjg.v25.i11.1307] [Citation(s) in RCA: 157] [Impact Index Per Article: 26.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Revised: 02/20/2019] [Accepted: 02/22/2019] [Indexed: 02/06/2023] Open
Abstract
With the increasing number of individuals with diabetes and obesity, nonalcoholic fatty liver disease (NAFLD) is becoming increasingly prevalent, affecting one-quarter of adults worldwide. The spectrum of NAFLD ranges from simple steatosis or nonalcoholic fatty liver (NAFL) to nonalcoholic steatohepatitis (NASH). NAFLD, especially NASH, may progress to fibrosis, leading to cirrhosis and hepatocellular carcinoma. NAFLD can impose a severe economic burden, and patients with NAFLD-related terminal or deteriorative liver diseases have become one of the main groups receiving liver transplantation. The increasing prevalence of NAFLD and the severe outcomes of NASH make it necessary to use effective methods to identify NAFLD. Although recognized as the gold standard, biopsy is limited by its sampling bias, poor acceptability, and severe complications, such as mortality, bleeding, and pain. Therefore, noninvasive methods are urgently needed to avoid biopsy for diagnosing NAFLD. This review discusses the current noninvasive methods for assessing NAFLD, including steatosis, NASH, and NAFLD-related fibrosis, and explores the advantages and disadvantages of measurement tools. In addition, we analyze potential noninvasive biomarkers for tracking disease processes and monitoring treatment effects, and explore effective algorithms consisting of imaging and nonimaging biomarkers for diagnosing advanced fibrosis and reducing unnecessary biopsies in clinical practice.
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Affiliation(s)
- Jiang-Hua Zhou
- Department of Cardiology, Renmin Hospital of Wuhan University, Institute of Model Animal of Wuhan University, Wuhan 430071, Hubei Province, China
| | - Jing-Jing Cai
- Department of Cardiology, The 3rd Xiangya Hospital of Central South University, Changsha 410013, Hunan Province, China
| | - Zhi-Gang She
- Department of Cardiology, Renmin Hospital of Wuhan University, Institute of Model Animal of Wuhan University, Wuhan 430071, Hubei Province, China
| | - Hong-Liang Li
- Department of Cardiology, Renmin Hospital of Wuhan University, Institute of Model Animal of Wuhan University, Wuhan 430071, Hubei Province, China
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Pooler BD, Wiens CN, McMillan A, Artz NS, Schlein A, Covarrubias Y, Hooker J, Schwimmer JB, Funk LM, Campos GM, Greenberg JA, Jacobsen G, Horgan S, Wolfson T, Gamst AC, Sirlin CB, Reeder SB. Monitoring Fatty Liver Disease with MRI Following Bariatric Surgery: A Prospective, Dual-Center Study. Radiology 2018; 290:682-690. [PMID: 30561273 DOI: 10.1148/radiol.2018181134] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Purpose To longitudinally monitor liver fat before and after bariatric surgery by using quantitative chemical shift-encoded (CSE) MRI and to compare with changes in body mass index (BMI), weight, and waist circumference (WC). Materials and Methods For this prospective study, which was approved by the internal review board, a total of 126 participants with obesity who were undergoing evaluation for bariatric surgery with preoperative very low calorie diet (VLCD) were recruited from June 27, 2010, through May 5, 2015. Written informed consent was obtained from all participants. Participants underwent CSE MRI measuring liver proton density fat fraction (PDFF) before VLCD (2-3 weeks before surgery), after VLCD (1-3 days before surgery), and 1, 3, and 6-10 months following surgery. Linear regression was used to estimate rates of change of PDFF (ΔPDFF) and body anthropometrics. Initial PDFF (PDFF0), initial anthropometrics, and anthropometric rates of change were evaluated as predictors of ΔPDFF. Mixed-effects regression was used to estimate time to normalization of PDFF. Results Fifty participants (mean age, 51.0 years; age range, 27-70 years), including 43 women (mean age, 50.8 years; age range, 27-70 years) and seven men (mean age, 51.7 years; age range, 36-62 years), with mean PDFF0 ± standard deviation of 18.1% ± 8.6 and mean BMI0 of 44.9 kg/m2 ± 6.5 completed the study. By 6-10 months following surgery, mean PDFF decreased to 4.9% ± 3.4 and mean BMI decreased to 34.5 kg/m2 ± 5.4. Mean estimated time to PDFF normalization was 22.5 weeks ± 11.5. PDFF0 was the only strong predictor for both ΔPDFF and time to PDFF normalization. No body anthropometric correlated with either outcome. Conclusion Average liver proton density fat fraction (PDFF) decreased to normal (< 5%) by 6-10 months following surgery, with mean time to normalization of approximately 5 months. Initial PDFF was a strong predictor of both rate of change of PDFF and time to normalization. Body anthropometrics did not predict either outcome. Online supplemental material is available for this article. © RSNA, 2018.
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Affiliation(s)
- B Dustin Pooler
- From the Departments of Radiology (B.D.P., C.N.W., A.M., N.S.A., S.B.R.), Medical Physics (S.B.R.), Medicine (S.B.R.), Emergency Medicine (S.B.R.), and General Surgery (L.M.F., J.A.G.), University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252; Madison Radiologists, SC, Madison, Wis (B.D.P.); Department of General Surgery, William S. Middleton Memorial Veterans Hospital, Madison, Wis (L.M.F.); Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tenn (N.S.A.); Departments of Radiology, Liver Imaging Group (A.S., Y.C., J.H., C.B.S.), Pediatrics, Section of Gastroenterology (J.B.S.), General Surgery (G.J., S.H.), and Computational and Applied Statistics Laboratory (T.W., A.C.G.), University of California, San Diego, Calif; and Department of Surgery, Virginia Commonwealth University, Richmond, Va (G.M.C.)
| | - Curtis N Wiens
- From the Departments of Radiology (B.D.P., C.N.W., A.M., N.S.A., S.B.R.), Medical Physics (S.B.R.), Medicine (S.B.R.), Emergency Medicine (S.B.R.), and General Surgery (L.M.F., J.A.G.), University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252; Madison Radiologists, SC, Madison, Wis (B.D.P.); Department of General Surgery, William S. Middleton Memorial Veterans Hospital, Madison, Wis (L.M.F.); Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tenn (N.S.A.); Departments of Radiology, Liver Imaging Group (A.S., Y.C., J.H., C.B.S.), Pediatrics, Section of Gastroenterology (J.B.S.), General Surgery (G.J., S.H.), and Computational and Applied Statistics Laboratory (T.W., A.C.G.), University of California, San Diego, Calif; and Department of Surgery, Virginia Commonwealth University, Richmond, Va (G.M.C.)
| | - Alan McMillan
- From the Departments of Radiology (B.D.P., C.N.W., A.M., N.S.A., S.B.R.), Medical Physics (S.B.R.), Medicine (S.B.R.), Emergency Medicine (S.B.R.), and General Surgery (L.M.F., J.A.G.), University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252; Madison Radiologists, SC, Madison, Wis (B.D.P.); Department of General Surgery, William S. Middleton Memorial Veterans Hospital, Madison, Wis (L.M.F.); Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tenn (N.S.A.); Departments of Radiology, Liver Imaging Group (A.S., Y.C., J.H., C.B.S.), Pediatrics, Section of Gastroenterology (J.B.S.), General Surgery (G.J., S.H.), and Computational and Applied Statistics Laboratory (T.W., A.C.G.), University of California, San Diego, Calif; and Department of Surgery, Virginia Commonwealth University, Richmond, Va (G.M.C.)
| | - Nathan S Artz
- From the Departments of Radiology (B.D.P., C.N.W., A.M., N.S.A., S.B.R.), Medical Physics (S.B.R.), Medicine (S.B.R.), Emergency Medicine (S.B.R.), and General Surgery (L.M.F., J.A.G.), University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252; Madison Radiologists, SC, Madison, Wis (B.D.P.); Department of General Surgery, William S. Middleton Memorial Veterans Hospital, Madison, Wis (L.M.F.); Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tenn (N.S.A.); Departments of Radiology, Liver Imaging Group (A.S., Y.C., J.H., C.B.S.), Pediatrics, Section of Gastroenterology (J.B.S.), General Surgery (G.J., S.H.), and Computational and Applied Statistics Laboratory (T.W., A.C.G.), University of California, San Diego, Calif; and Department of Surgery, Virginia Commonwealth University, Richmond, Va (G.M.C.)
| | - Alexandra Schlein
- From the Departments of Radiology (B.D.P., C.N.W., A.M., N.S.A., S.B.R.), Medical Physics (S.B.R.), Medicine (S.B.R.), Emergency Medicine (S.B.R.), and General Surgery (L.M.F., J.A.G.), University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252; Madison Radiologists, SC, Madison, Wis (B.D.P.); Department of General Surgery, William S. Middleton Memorial Veterans Hospital, Madison, Wis (L.M.F.); Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tenn (N.S.A.); Departments of Radiology, Liver Imaging Group (A.S., Y.C., J.H., C.B.S.), Pediatrics, Section of Gastroenterology (J.B.S.), General Surgery (G.J., S.H.), and Computational and Applied Statistics Laboratory (T.W., A.C.G.), University of California, San Diego, Calif; and Department of Surgery, Virginia Commonwealth University, Richmond, Va (G.M.C.)
| | - Yesenia Covarrubias
- From the Departments of Radiology (B.D.P., C.N.W., A.M., N.S.A., S.B.R.), Medical Physics (S.B.R.), Medicine (S.B.R.), Emergency Medicine (S.B.R.), and General Surgery (L.M.F., J.A.G.), University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252; Madison Radiologists, SC, Madison, Wis (B.D.P.); Department of General Surgery, William S. Middleton Memorial Veterans Hospital, Madison, Wis (L.M.F.); Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tenn (N.S.A.); Departments of Radiology, Liver Imaging Group (A.S., Y.C., J.H., C.B.S.), Pediatrics, Section of Gastroenterology (J.B.S.), General Surgery (G.J., S.H.), and Computational and Applied Statistics Laboratory (T.W., A.C.G.), University of California, San Diego, Calif; and Department of Surgery, Virginia Commonwealth University, Richmond, Va (G.M.C.)
| | - Jonathan Hooker
- From the Departments of Radiology (B.D.P., C.N.W., A.M., N.S.A., S.B.R.), Medical Physics (S.B.R.), Medicine (S.B.R.), Emergency Medicine (S.B.R.), and General Surgery (L.M.F., J.A.G.), University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252; Madison Radiologists, SC, Madison, Wis (B.D.P.); Department of General Surgery, William S. Middleton Memorial Veterans Hospital, Madison, Wis (L.M.F.); Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tenn (N.S.A.); Departments of Radiology, Liver Imaging Group (A.S., Y.C., J.H., C.B.S.), Pediatrics, Section of Gastroenterology (J.B.S.), General Surgery (G.J., S.H.), and Computational and Applied Statistics Laboratory (T.W., A.C.G.), University of California, San Diego, Calif; and Department of Surgery, Virginia Commonwealth University, Richmond, Va (G.M.C.)
| | - Jeffrey B Schwimmer
- From the Departments of Radiology (B.D.P., C.N.W., A.M., N.S.A., S.B.R.), Medical Physics (S.B.R.), Medicine (S.B.R.), Emergency Medicine (S.B.R.), and General Surgery (L.M.F., J.A.G.), University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252; Madison Radiologists, SC, Madison, Wis (B.D.P.); Department of General Surgery, William S. Middleton Memorial Veterans Hospital, Madison, Wis (L.M.F.); Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tenn (N.S.A.); Departments of Radiology, Liver Imaging Group (A.S., Y.C., J.H., C.B.S.), Pediatrics, Section of Gastroenterology (J.B.S.), General Surgery (G.J., S.H.), and Computational and Applied Statistics Laboratory (T.W., A.C.G.), University of California, San Diego, Calif; and Department of Surgery, Virginia Commonwealth University, Richmond, Va (G.M.C.)
| | - Luke M Funk
- From the Departments of Radiology (B.D.P., C.N.W., A.M., N.S.A., S.B.R.), Medical Physics (S.B.R.), Medicine (S.B.R.), Emergency Medicine (S.B.R.), and General Surgery (L.M.F., J.A.G.), University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252; Madison Radiologists, SC, Madison, Wis (B.D.P.); Department of General Surgery, William S. Middleton Memorial Veterans Hospital, Madison, Wis (L.M.F.); Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tenn (N.S.A.); Departments of Radiology, Liver Imaging Group (A.S., Y.C., J.H., C.B.S.), Pediatrics, Section of Gastroenterology (J.B.S.), General Surgery (G.J., S.H.), and Computational and Applied Statistics Laboratory (T.W., A.C.G.), University of California, San Diego, Calif; and Department of Surgery, Virginia Commonwealth University, Richmond, Va (G.M.C.)
| | - Guilherme M Campos
- From the Departments of Radiology (B.D.P., C.N.W., A.M., N.S.A., S.B.R.), Medical Physics (S.B.R.), Medicine (S.B.R.), Emergency Medicine (S.B.R.), and General Surgery (L.M.F., J.A.G.), University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252; Madison Radiologists, SC, Madison, Wis (B.D.P.); Department of General Surgery, William S. Middleton Memorial Veterans Hospital, Madison, Wis (L.M.F.); Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tenn (N.S.A.); Departments of Radiology, Liver Imaging Group (A.S., Y.C., J.H., C.B.S.), Pediatrics, Section of Gastroenterology (J.B.S.), General Surgery (G.J., S.H.), and Computational and Applied Statistics Laboratory (T.W., A.C.G.), University of California, San Diego, Calif; and Department of Surgery, Virginia Commonwealth University, Richmond, Va (G.M.C.)
| | - Jacob A Greenberg
- From the Departments of Radiology (B.D.P., C.N.W., A.M., N.S.A., S.B.R.), Medical Physics (S.B.R.), Medicine (S.B.R.), Emergency Medicine (S.B.R.), and General Surgery (L.M.F., J.A.G.), University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252; Madison Radiologists, SC, Madison, Wis (B.D.P.); Department of General Surgery, William S. Middleton Memorial Veterans Hospital, Madison, Wis (L.M.F.); Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tenn (N.S.A.); Departments of Radiology, Liver Imaging Group (A.S., Y.C., J.H., C.B.S.), Pediatrics, Section of Gastroenterology (J.B.S.), General Surgery (G.J., S.H.), and Computational and Applied Statistics Laboratory (T.W., A.C.G.), University of California, San Diego, Calif; and Department of Surgery, Virginia Commonwealth University, Richmond, Va (G.M.C.)
| | - Garth Jacobsen
- From the Departments of Radiology (B.D.P., C.N.W., A.M., N.S.A., S.B.R.), Medical Physics (S.B.R.), Medicine (S.B.R.), Emergency Medicine (S.B.R.), and General Surgery (L.M.F., J.A.G.), University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252; Madison Radiologists, SC, Madison, Wis (B.D.P.); Department of General Surgery, William S. Middleton Memorial Veterans Hospital, Madison, Wis (L.M.F.); Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tenn (N.S.A.); Departments of Radiology, Liver Imaging Group (A.S., Y.C., J.H., C.B.S.), Pediatrics, Section of Gastroenterology (J.B.S.), General Surgery (G.J., S.H.), and Computational and Applied Statistics Laboratory (T.W., A.C.G.), University of California, San Diego, Calif; and Department of Surgery, Virginia Commonwealth University, Richmond, Va (G.M.C.)
| | - Santiago Horgan
- From the Departments of Radiology (B.D.P., C.N.W., A.M., N.S.A., S.B.R.), Medical Physics (S.B.R.), Medicine (S.B.R.), Emergency Medicine (S.B.R.), and General Surgery (L.M.F., J.A.G.), University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252; Madison Radiologists, SC, Madison, Wis (B.D.P.); Department of General Surgery, William S. Middleton Memorial Veterans Hospital, Madison, Wis (L.M.F.); Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tenn (N.S.A.); Departments of Radiology, Liver Imaging Group (A.S., Y.C., J.H., C.B.S.), Pediatrics, Section of Gastroenterology (J.B.S.), General Surgery (G.J., S.H.), and Computational and Applied Statistics Laboratory (T.W., A.C.G.), University of California, San Diego, Calif; and Department of Surgery, Virginia Commonwealth University, Richmond, Va (G.M.C.)
| | - Tanya Wolfson
- From the Departments of Radiology (B.D.P., C.N.W., A.M., N.S.A., S.B.R.), Medical Physics (S.B.R.), Medicine (S.B.R.), Emergency Medicine (S.B.R.), and General Surgery (L.M.F., J.A.G.), University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252; Madison Radiologists, SC, Madison, Wis (B.D.P.); Department of General Surgery, William S. Middleton Memorial Veterans Hospital, Madison, Wis (L.M.F.); Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tenn (N.S.A.); Departments of Radiology, Liver Imaging Group (A.S., Y.C., J.H., C.B.S.), Pediatrics, Section of Gastroenterology (J.B.S.), General Surgery (G.J., S.H.), and Computational and Applied Statistics Laboratory (T.W., A.C.G.), University of California, San Diego, Calif; and Department of Surgery, Virginia Commonwealth University, Richmond, Va (G.M.C.)
| | - Anthony C Gamst
- From the Departments of Radiology (B.D.P., C.N.W., A.M., N.S.A., S.B.R.), Medical Physics (S.B.R.), Medicine (S.B.R.), Emergency Medicine (S.B.R.), and General Surgery (L.M.F., J.A.G.), University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252; Madison Radiologists, SC, Madison, Wis (B.D.P.); Department of General Surgery, William S. Middleton Memorial Veterans Hospital, Madison, Wis (L.M.F.); Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tenn (N.S.A.); Departments of Radiology, Liver Imaging Group (A.S., Y.C., J.H., C.B.S.), Pediatrics, Section of Gastroenterology (J.B.S.), General Surgery (G.J., S.H.), and Computational and Applied Statistics Laboratory (T.W., A.C.G.), University of California, San Diego, Calif; and Department of Surgery, Virginia Commonwealth University, Richmond, Va (G.M.C.)
| | - Claude B Sirlin
- From the Departments of Radiology (B.D.P., C.N.W., A.M., N.S.A., S.B.R.), Medical Physics (S.B.R.), Medicine (S.B.R.), Emergency Medicine (S.B.R.), and General Surgery (L.M.F., J.A.G.), University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252; Madison Radiologists, SC, Madison, Wis (B.D.P.); Department of General Surgery, William S. Middleton Memorial Veterans Hospital, Madison, Wis (L.M.F.); Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tenn (N.S.A.); Departments of Radiology, Liver Imaging Group (A.S., Y.C., J.H., C.B.S.), Pediatrics, Section of Gastroenterology (J.B.S.), General Surgery (G.J., S.H.), and Computational and Applied Statistics Laboratory (T.W., A.C.G.), University of California, San Diego, Calif; and Department of Surgery, Virginia Commonwealth University, Richmond, Va (G.M.C.)
| | - Scott B Reeder
- From the Departments of Radiology (B.D.P., C.N.W., A.M., N.S.A., S.B.R.), Medical Physics (S.B.R.), Medicine (S.B.R.), Emergency Medicine (S.B.R.), and General Surgery (L.M.F., J.A.G.), University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252; Madison Radiologists, SC, Madison, Wis (B.D.P.); Department of General Surgery, William S. Middleton Memorial Veterans Hospital, Madison, Wis (L.M.F.); Department of Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, Tenn (N.S.A.); Departments of Radiology, Liver Imaging Group (A.S., Y.C., J.H., C.B.S.), Pediatrics, Section of Gastroenterology (J.B.S.), General Surgery (G.J., S.H.), and Computational and Applied Statistics Laboratory (T.W., A.C.G.), University of California, San Diego, Calif; and Department of Surgery, Virginia Commonwealth University, Richmond, Va (G.M.C.)
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Hayashi T, Fukuzawa K, Yamazaki H, Konno T, Miyati T, Kotoku J, Oba H, Kondo H, Toyoda K, Saitoh S. Multicenter, multivendor phantom study to validate proton density fat fraction and T2* values calculated using vendor-provided 6-point DIXON methods. Clin Imaging 2018; 51:38-42. [DOI: 10.1016/j.clinimag.2018.01.011] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2017] [Revised: 01/16/2018] [Accepted: 01/22/2018] [Indexed: 12/16/2022]
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Hui SCN, So HK, Chan DFY, Wong SKH, Yeung DKW, Ng EKW, Chu WCW. Validation of water-fat MRI and proton MRS in assessment of hepatic fat and the heterogeneous distribution of hepatic fat and iron in subjects with non-alcoholic fatty liver disease. Eur J Radiol 2018; 107:7-13. [PMID: 30292275 DOI: 10.1016/j.ejrad.2018.08.008] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2018] [Revised: 08/06/2018] [Accepted: 08/10/2018] [Indexed: 12/30/2022]
Abstract
BACKGROUND Research studies demonstrated pathologic lesions were unevenly distributed in patients with non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis. As hepatic steatosis occurs prior to steatohepatitis and other late stage liver conditions, the distribution pattern of hepatic fat and iron concentration should be investigated to prevent sampling variability. The first purpose of this study was to perform comparison and validation of in-house hepatic fat measurements using water-fat MRI and MRS. The second objective was to quantify hepatic fat-fraction and T2* values in left and right liver lobes using water-fat MRI. METHOD Fifty-four non-alcoholic adults (27 NAFLD, age: 42.8 ± 11.8), 27 non-NAFLD, age: 45.5 ± 11.2) and 46 non-alcoholic teenagers (23 NAFLD (age: 15.4 ± 2.6), 23 non-NAFLD (age: 13.9 ± 2.3) were recruited. All participants underwent chemical shift water-fat MRI and 1H MRS at 3 T. Hepatic steatosis was defined by intrahepatic triglyceride more than the threshold of 5.56% using MRS (clinical reference) and non-alcoholic was defined by alcohol ingestion of no more than 30 g and 20 g per day for male and female respectively. Hepatic fat-fractions in left and right liver lobes were measured using regions-of-interest (ROIs) approach. Three ROIs were drawn on the fat-fraction images and duplicated on to the co-registered T2* images at the inferior right, superior right and superior left liver lobes. Comparison and validation of water-fat MRI and MRS were performed using intraclass correlation coefficient (ICC) and Bland-Altman plot. Hepatic fat-fraction and T2* measured from the ROIs were compared using repeated measures ANOVA. Independent t-test was used for between groups analysis. RESULTS Statistical analysis indicated good correlation (R = 0.987) and agreement (ICC = 0.982) between MRS and water-fat MRI in hepatic fat measurements. Results indicated that hepatic fat was significantly higher in the right lobe compared to the left in NAFLD adults (p < 0.001) and NAFLD teenagers (p < 0.001). For T2*, significant difference between left and right lobes was observed in NAFLD adults (p < 0.001) and non-NAFLD adults (p < 0.001) but not in teenagers. CONCLUSION Hepatic fat measurements using MRS and water-fat MRI are statistically equivalent. In subjects with NAFLD regardless of their age, hepatic fat is stored preferentially in the right live lobe probably due to the streamline of blood flow to the right liver. T2* value is significantly higher in the right liver lobe in adults but not in the teenagers regardless of their hepatic fat contents probably due to the longer time span of hepatic iron accumulation.
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Affiliation(s)
- Steve C N Hui
- Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong, Sha Tin, N.T., Hong Kong Special Administrative Region
| | - Hung-Kwan So
- Department of Paediatrics, Prince of Wales Hospital, The Chinese University of Hong Kong, Sha Tin, N.T., Hong Kong Special Administrative Region; Department of Pediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Dorothy F Y Chan
- Department of Paediatrics, Prince of Wales Hospital, The Chinese University of Hong Kong, Sha Tin, N.T., Hong Kong Special Administrative Region
| | - Simon K H Wong
- Department of Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, Sha Tin, N.T., Hong Kong Special Administrative Region
| | - David K W Yeung
- Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong, Sha Tin, N.T., Hong Kong Special Administrative Region; Department of Clinical Oncology, Prince of Wales Hospital, The Chinese University of Hong Kong, Sha Tin, N.T., Hong Kong Special Administrative Region
| | - Enders K W Ng
- Department of Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, Sha Tin, N.T., Hong Kong Special Administrative Region
| | - Winnie C W Chu
- Department of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong, Sha Tin, N.T., Hong Kong Special Administrative Region.
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Di Lascio N, Avigo C, Salvati A, Martini N, Ragucci M, Monti S, Prinster A, Chiappino D, Mancini M, D'Elia D, Ghiadoni L, Bonino F, Brunetto MR, Faita F. Steato-Score: Non-Invasive Quantitative Assessment of Liver Fat by Ultrasound Imaging. ULTRASOUND IN MEDICINE & BIOLOGY 2018; 44:1585-1596. [PMID: 29735312 DOI: 10.1016/j.ultrasmedbio.2018.03.011] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2017] [Revised: 03/05/2018] [Accepted: 03/16/2018] [Indexed: 06/08/2023]
Abstract
Non-alcoholic fatty liver disease is becoming a global epidemic. The aim of this study was to develop a system for assessing liver fat content based on ultrasound images. Magnetic resonance spectroscopy measurements were obtained in 61 patients and the controlled attenuation parameter in 54. Ultrasound images were acquired for all 115 participants and used to calculate the hepatic/renal ratio, hepatic/portal vein ratio, attenuation rate, diaphragm visualization and portal vein wall visualization. The Steato-score was obtained by combining these five parameters. Magnetic resonance spectroscopy measurements were significantly correlated with hepatic/renal ratio, hepatic/portal vein ratio, attenuation rate, diaphragm visualization and portal vein wall visualization; Steato-score was dependent on hepatic/renal ratio, attenuation rate and diaphragm visualization. Area under the receiver operating characteristic curve was equal to 0.98, with 89% sensitivity and 94% specificity. Controlled attenuation parameter values were significantly correlated with hepatic/renal ratio, attenuation rate, diaphragm visualization and Steato-score; the area under the curve was 0.79. This system could be a valid alternative as a non-invasive, simple and inexpensive assessment of intrahepatic fat.
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Affiliation(s)
- Nicole Di Lascio
- Institute of Life Sciences, Scuola Superiore Sant'Anna, Pisa, Italy; Institute of Clinical Physiology, National Research Council, Pisa, Italy.
| | - Cinzia Avigo
- Institute of Clinical Physiology, National Research Council, Pisa, Italy
| | - Antonio Salvati
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy; Hepatology Unit and Laboratory of Molecular Genetics and Pathology of Hepatitis Viruses, Reference Centre of the Tuscany Region for Chronic Liver Disease and Cancer, University Hospital of Pisa, Pisa, Italy
| | | | - Monica Ragucci
- Institute of Biostructure and Bioimages, National Research Council, Naples, Italy
| | | | - Anna Prinster
- Institute of Biostructure and Bioimages, National Research Council, Naples, Italy
| | | | - Marcello Mancini
- Institute of Biostructure and Bioimages, National Research Council, Naples, Italy
| | - Domenico D'Elia
- University of Pittsburgh Medical Center Institute for Health, Chianciano Terme, Siena, Italy
| | - Lorenzo Ghiadoni
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Ferruccio Bonino
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy; IRCSS SDN, Naples, Italy; Fondazione Italiana Fegato, AREA Science Park, Campus Basovizza, Trieste, Italy
| | - Maurizia R Brunetto
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy; Hepatology Unit and Laboratory of Molecular Genetics and Pathology of Hepatitis Viruses, Reference Centre of the Tuscany Region for Chronic Liver Disease and Cancer, University Hospital of Pisa, Pisa, Italy
| | - Francesco Faita
- Institute of Clinical Physiology, National Research Council, Pisa, Italy
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Hua B, Hakkarainen A, Zhou Y, Lundbom N, Yki-Järvinen H. Fat accumulates preferentially in the right rather than the left liver lobe in non-diabetic subjects. Dig Liver Dis 2018; 50:168-174. [PMID: 28964678 DOI: 10.1016/j.dld.2017.08.030] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Revised: 07/19/2017] [Accepted: 08/14/2017] [Indexed: 12/11/2022]
Abstract
AIMS To examine the distribution of liver fat (LFAT) in non-diabetic subjects and test whether the fat in the right as compared to the left lobe correlates better with components of the metabolic syndrome or not. METHODS In this cross sectional study, we determined LFAT by 1H-MRS in the right lobe (LFAT%MRS), and by MRI (LFAT%MRI) in four regions of interest (ROIs 1-4, two in the right and two in the left lobe) in 97 non-diabetic subjects (age range 22-74 years, BMI 18-41kg/m2) and compared the accuracy of LFATMRI in the different ROIs in diagnosing non-alcoholic fatty liver disease (NAFLD) using areas under the receiver operator characteristic (AUROC) curves. RESULTS 38% of the subjects had NAFLD (LFAT%MRS). LFAT%MRI was significantly higher in the right (5.7±0.5%) than the left (5.1±0.4%) lobe (p<0.02). The AUROC for LFAT%MRI in the right lobe for diagnosing NAFLD was significantly better than that in the left lobe. The relationships between several metabolic parameters and LFAT%MRI in the left lobe were significantly worse than those for LFAT%MRS while there was no difference between LFAT%MRS and right lobe ROIs. CONCLUSIONS Liver right lobe contains more fat and correlates better with components of the metabolic syndrome than the left in non-diabetic subjects.
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Affiliation(s)
- Bian Hua
- Minerva Foundation Institute for Medical Research, Helsinki, Finland; Department of Endocrinology, Zhongshan Hosipital, Fudan University, Shanghai, China.
| | - Antti Hakkarainen
- Department of Radiology, Helsinki Medical Imaging Center, Helsinki University Central Hospital, University of Helsinki, Helsinki, Finland
| | - You Zhou
- Minerva Foundation Institute for Medical Research, Helsinki, Finland; Systems Immunity University Research Institute and Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Nina Lundbom
- Department of Radiology, Helsinki Medical Imaging Center, Helsinki University Central Hospital, University of Helsinki, Helsinki, Finland
| | - Hannele Yki-Järvinen
- Minerva Foundation Institute for Medical Research, Helsinki, Finland; Department of Medicine, University of Helsinki, Helsinki, Finland
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Keating SE, Parker HM, Hickman IJ, Gomersall SR, Wallen MP, Coombes JS, Macdonald GA, George J, Johnson NA. NAFLD in clinical practice: Can simple blood and anthropometric markers be used to detect change in liver fat measured by 1 H-MRS? Liver Int 2017; 37:1907-1915. [PMID: 28581252 DOI: 10.1111/liv.13488] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Accepted: 05/30/2017] [Indexed: 02/13/2023]
Abstract
BACKGROUND & AIMS Research in NAFLD management is commonly based on quantitative assessment of liver fat by proton-magnetic resonance spectroscopy (1 H-MRS), and translation of this into clinical practice is currently limited by availability and expense. Novel steatosis biomarkers have been proposed for the prediction of liver fatness; however, whether these are suitable for detecting changes in liver fat is unknown. We aimed to determine the accuracy of these indices, and waist circumference (WC), in quantifying longitudinal change in 1 H-MRS-quantified liver fat. METHODS We performed a secondary analysis using data from 97 overweight/obese adults (age: 39.7±11.5 years, body mass index: 30.7±4.4 kg/m2 , liver fat: 6.0±4.8%, 65% male) who completed either an 8-week exercise or 12-week nutraceutical intervention, with varying degrees of change in liver fat. Baseline and post-intervention measures were liver fat (1 H-MRS), NAFLD Liver Fat Score, Liver Fat Equation (LFE), Fatty Liver Index (FLI), Hepatic Steatosis Index (HSI), the Visceral Adiposity Index (VAI) and WC. RESULTS Only the change in HSI, FLI and WC was associated with change in liver fat; however, correlations were weak to moderate. There was no agreement between the LFE and 1 H-MRS for detecting liver fat change. Only change in WC significantly affected change in liver fat (P<.001), and WC AUROC for the presence of steatosis was 0.65 and 0.78 for men and women respectively. CONCLUSIONS Novel indices are limited in their ability to detect longitudinal change in liver fat. Waist circumference may offer modest utility as a surrogate to infer liver fat change with lifestyle interventions.
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Affiliation(s)
- Shelley E Keating
- Faculty of Health Sciences, University of Sydney, Lidcombe, NSW, Australia.,School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Helen M Parker
- Faculty of Health Sciences, University of Sydney, Lidcombe, NSW, Australia
| | - Ingrid J Hickman
- Department of Nutrition and Dietetics, Princess Alexandra Hospital, Brisbane, QLD, Australia.,Mater Research Institute, The University of Queensland, South Brisbane, QLD, Australia.,Translational Research Institute, Brisbane, QLD, Australia
| | - Sjaan R Gomersall
- School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Matthew P Wallen
- School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, QLD, Australia.,Faculty of Health, Federation University Australia, Mount Helen, VIC, Australia
| | - Jeff S Coombes
- School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Graeme A Macdonald
- Translational Research Institute, Brisbane, QLD, Australia.,Department of Gastroenterology and Hepatology, Princess Alexandra Hospital, Brisbane, QLD, Australia.,Department of Anaesthesia, Princess Alexandra Hospital, Brisbane, QLD, Australia
| | - Jacob George
- Storr Liver Centre, Westmead Institute for Medical Research and Westmead Hospital, University of Sydney, Westmead, NSW, Australia
| | - Nathan A Johnson
- Faculty of Health Sciences, University of Sydney, Lidcombe, NSW, Australia.,Boden Institute of Obesity, Nutrition, Exercise and Eating Disorders, University of Sydney, Sydney, NSW, Australia
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36
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Lee DH. Imaging evaluation of non-alcoholic fatty liver disease: focused on quantification. Clin Mol Hepatol 2017; 23:290-301. [PMID: 28994271 PMCID: PMC5760010 DOI: 10.3350/cmh.2017.0042] [Citation(s) in RCA: 95] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2017] [Accepted: 08/17/2017] [Indexed: 12/26/2022] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) has been an emerging major health problem, and the most common cause of chronic liver disease in Western countries. Traditionally, liver biopsy has been gold standard method for quantification of hepatic steatosis. However, its invasive nature with potential complication as well as measurement variability are major problem. Thus, various imaging studies have been used for evaluation of hepatic steatosis. Ultrasonography provides fairly good accuracy to detect moderate-to-severe degree hepatic steatosis, but limited accuracy for mild steatosis. Operator-dependency and subjective/qualitative nature of examination are another major drawbacks of ultrasonography. Computed tomography can be considered as an unsuitable imaging modality for evaluation of NAFLD due to potential risk of radiation exposure and limited accuracy in detecting mild steatosis. Both magnetic resonance spectroscopy and magnetic resonance imaging using chemical shift technique provide highly accurate and reproducible diagnostic performance for evaluating NAFLD, and therefore, have been used in many clinical trials as a non-invasive reference of standard method.
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Affiliation(s)
- Dong Ho Lee
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
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37
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Liver Adiposity and Metabolic Profile in Individuals with Chronic Spinal Cord Injury. BIOMED RESEARCH INTERNATIONAL 2017; 2017:1364818. [PMID: 28948164 PMCID: PMC5602482 DOI: 10.1155/2017/1364818] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/24/2017] [Revised: 06/22/2017] [Accepted: 07/09/2017] [Indexed: 01/14/2023]
Abstract
PURPOSE To quantify liver adiposity using magnetic resonance imaging (MRI) and to determine its association with metabolic profile in men with spinal cord injury (SCI). MATERIALS AND METHODS MRI analysis of liver adiposity by fat signal fraction (FSF) and visceral adipose tissue (VAT) was completed on twenty participants. Intravenous glucose tolerance test was conducted to measure glucose effectiveness (Sg) and insulin sensitivity (Si). Lipid panel, fasting glucose, glycated hemoglobin (HbA1c), and inflammatory cytokines were also analyzed. RESULTS Average hepatic FSF was 3.7% ± 2.1. FSF was positively related to TG, non-HDL-C, fasting glucose, HbA1c, VAT, and tumor necrosis factor alpha (TNF-α). FSF was negatively related to Si and testosterone. FSF was positively related to VAT (r = 0.48, p = 0.032) and TNF-α (r = 0.51, p = 0.016) independent of age, level of injury (LOI), and time since injury (TSI). The associations between FSF and metabolic profile were independent of VAT. CONCLUSIONS MRI noninvasively estimated hepatic adiposity in men with chronic SCI. FSF was associated with dysfunction in metabolic profile, central adiposity, and inflammation. Importantly, liver adiposity influenced metabolic profile independently of VAT. These findings highlight the significance of quantifying liver adiposity after SCI to attenuate the development of metabolic disorders.
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Effect of ultrasound frequency on the Nakagami statistics of human liver tissues. PLoS One 2017; 12:e0181789. [PMID: 28763461 PMCID: PMC5538657 DOI: 10.1371/journal.pone.0181789] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2017] [Accepted: 07/07/2017] [Indexed: 12/11/2022] Open
Abstract
The analysis of the backscattered statistics using the Nakagami parameter is an emerging ultrasound technique for assessing hepatic steatosis and fibrosis. Previous studies indicated that the echo amplitude distribution of a normal liver follows the Rayleigh distribution (the Nakagami parameter m is close to 1). However, using different frequencies may change the backscattered statistics of normal livers. This study explored the frequency dependence of the backscattered statistics in human livers and then discussed the sources of ultrasound scattering in the liver. A total of 30 healthy participants were enrolled to undergo a standard care ultrasound examination on the liver, which is a natural model containing diffuse and coherent scatterers. The liver of each volunteer was scanned from the right intercostal view to obtain image raw data at different central frequencies ranging from 2 to 3.5 MHz. Phantoms with diffuse scatterers only were also made to perform ultrasound scanning using the same protocol for comparisons with clinical data. The Nakagami parameter-frequency correlation was evaluated using Pearson correlation analysis. The median and interquartile range of the Nakagami parameter obtained from livers was 1.00 (0.98-1.05) for 2 MHz, 0.93 (0.89-0.98) for 2.3 MHz, 0.87 (0.84-0.92) for 2.5 MHz, 0.82 (0.77-0.88) for 3.3 MHz, and 0.81 (0.76-0.88) for 3.5 MHz. The Nakagami parameter decreased with the increasing central frequency (r = -0.67, p < 0.0001). However, the effect of ultrasound frequency on the statistical distribution of the backscattered envelopes was not found in the phantom results (r = -0.147, p = 0.0727). The current results demonstrated that the backscattered statistics of normal livers is frequency-dependent. Moreover, the coherent scatterers may be the primary factor to dominate the frequency dependence of the backscattered statistics in a liver.
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39
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Current State-of-the-Art MRI for Comprehensive Evaluation of Potential Living Liver Donors. AJR Am J Roentgenol 2017; 209:55-66. [DOI: 10.2214/ajr.16.17741] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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40
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Hayashi T, Saitoh S, Takahashi J, Tsuji Y, Ikeda K, Kobayashi M, Kawamura Y, Fujii T, Inoue M, Miyati T, Kumada H. Hepatic fat quantification using the two-point Dixon method and fat color maps based on non-alcoholic fatty liver disease activity score. Hepatol Res 2017; 47:455-464. [PMID: 27351583 DOI: 10.1111/hepr.12767] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2016] [Revised: 06/20/2016] [Accepted: 06/22/2016] [Indexed: 02/08/2023]
Abstract
AIM The two-point Dixon method for magnetic resonance imaging (MRI) is commonly used to non-invasively measure fat deposition in the liver. The aim of the present study was to assess the usefulness of MRI-fat fraction (MRI-FF) using the two-point Dixon method based on the non-alcoholic fatty liver disease activity score. METHODS This retrospective study included 106 patients who underwent liver MRI and MR spectroscopy, and 201 patients who underwent liver MRI and histological assessment. The relationship between MRI-FF and MR spectroscopy-fat fraction was used to estimate the corrected MRI-FF for hepatic multi-peaks of fat. Then, a color FF map was generated with the corrected MRI-FF based on the non-alcoholic fatty liver disease activity score. We defined FF variability as the standard deviation of FF in regions of interest. Uniformity of hepatic fat was visually graded on a three-point scale using both gray-scale and color FF maps. Confounding effects of histology (iron, inflammation and fibrosis) on corrected MRI-FF were assessed by multiple linear regression. RESULTS The linear correlations between MRI-FF and MR spectroscopy-fat fraction, and between corrected MRI-FF and histological steatosis were strong (R2 = 0.90 and R2 = 0.88, respectively). Liver fat variability significantly increased with visual fat uniformity grade using both of the maps (ρ = 0.67-0.69, both P < 0.001). Hepatic iron, inflammation and fibrosis had no significant confounding effects on the corrected MRI-FF (all P > 0.05). CONCLUSIONS The two-point Dixon method and the gray-scale or color FF maps based on the non-alcoholic fatty liver disease activity score were useful for fat quantification in the liver of patients without severe iron deposition.
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Affiliation(s)
- Tatsuya Hayashi
- Department of Radiological Technology, Toranomon Hospital, Tokyo, Japan.,Okinaka Memorial Institute for Medical Research, Tokyo, Japan.,Faculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Ishikawa, Japan.,Department of Medical Radiology, Faculty of Medical Technology, Teikyo University, Tokyo, Japan
| | - Satoshi Saitoh
- Okinaka Memorial Institute for Medical Research, Tokyo, Japan.,Department of Hepatology, Toranomon Hospital, Tokyo, Japan.,Department of Radiology, Toranomon Hospital, Tokyo, Japan
| | - Junji Takahashi
- Department of Radiological Technology, Toranomon Hospital, Tokyo, Japan.,Okinaka Memorial Institute for Medical Research, Tokyo, Japan
| | - Yoshinori Tsuji
- Department of Radiological Technology, Toranomon Hospital, Tokyo, Japan.,Okinaka Memorial Institute for Medical Research, Tokyo, Japan
| | - Kenji Ikeda
- Okinaka Memorial Institute for Medical Research, Tokyo, Japan.,Department of Hepatology, Toranomon Hospital, Tokyo, Japan
| | - Masahiro Kobayashi
- Okinaka Memorial Institute for Medical Research, Tokyo, Japan.,Department of Hepatology, Toranomon Hospital, Tokyo, Japan
| | - Yusuke Kawamura
- Okinaka Memorial Institute for Medical Research, Tokyo, Japan.,Department of Hepatology, Toranomon Hospital, Tokyo, Japan
| | - Takeshi Fujii
- Okinaka Memorial Institute for Medical Research, Tokyo, Japan.,Department of Pathology, Toranomon Hospital, Tokyo, Japan
| | - Masafumi Inoue
- Department of Ophthalmology, Japan Community Health Care Organization Tokyo Shinjuku Medical Center, Tokyo, Japan
| | - Tosiaki Miyati
- Faculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Ishikawa, Japan
| | - Hiromitsu Kumada
- Okinaka Memorial Institute for Medical Research, Tokyo, Japan.,Department of Hepatology, Toranomon Hospital, Tokyo, Japan
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41
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Guo Y, Dong C, Lin H, Zhang X, Wen H, Shen Y, Wang T, Chen S, Liu Y, Chen X. Ex vivo study of acoustic radiation force impulse imaging elastography for evaluation of rat liver with steatosis. ULTRASONICS 2017; 74:161-166. [PMID: 27814485 DOI: 10.1016/j.ultras.2016.10.009] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2016] [Revised: 09/29/2016] [Accepted: 10/16/2016] [Indexed: 06/06/2023]
Abstract
Nonalcoholic fatty liver disease (NAFLD) is one of the most common liver diseases in developed countries. Accurate, noninvasive tests for diagnosing NAFLD are urgently needed. The goals of this study were to evaluate the utility of acoustic radiation force impulse (ARFI) elastography for determining the severity grade of steatosis in rat livers, and to investigate the changes in various histologic and biochemical characteristics. Steatosis was induced in the livers of 57 rats by gavage feeding of a high fat emulsion; 12 rats received a standard diet only and served as controls. Liver mechanics were measured ex vivo using shear wave velocity (SWV) induced by acoustic radiation force. The measured mean values of liver SWV ranged from 1.33 to 3.85m/s for different grades of steatosis. The area under the receiver operative characteristic curve (⩾S1) was equal to 0.82 (95% CI=0.69, 0.96) between the steatosis group and the normal group, and the optimal cutoff value was 2.59 with sensitivity of 88% and specificity of 76%. However, there are no significant differences in SWV measurements between the steatosis grades. SWV values did not correlate with the early grade of inflammation. In conclusion, ARFI elastography is a promising method for differentiating normal rat liver from rat liver with steatosis, but it cannot reliably predict the grade of steatosis in rat livers. The early grade of inflammation activity did not significantly affect the SWV measurements.
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Affiliation(s)
- Yanrong Guo
- School of Biomedical Engineering, Shenzhen University, Shenzhen, China; National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, China
| | - Changfeng Dong
- Shenzhen Institute of Hepatology, The Third People's Hospital of Shenzhen, Shenzhen, China
| | - Haoming Lin
- School of Biomedical Engineering, Shenzhen University, Shenzhen, China; National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, China
| | - Xinyu Zhang
- School of Biomedical Engineering, Shenzhen University, Shenzhen, China; National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, China
| | - Huiying Wen
- School of Biomedical Engineering, Shenzhen University, Shenzhen, China; National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, China
| | - Yuanyuan Shen
- School of Biomedical Engineering, Shenzhen University, Shenzhen, China; National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, China
| | - Tianfu Wang
- School of Biomedical Engineering, Shenzhen University, Shenzhen, China; National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, China
| | - Siping Chen
- School of Biomedical Engineering, Shenzhen University, Shenzhen, China; National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, China
| | - Yingxia Liu
- Shenzhen Institute of Hepatology, The Third People's Hospital of Shenzhen, Shenzhen, China
| | - Xin Chen
- School of Biomedical Engineering, Shenzhen University, Shenzhen, China; National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, China.
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42
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Dichtel LE, Eajazi A, Miller KK, Torriani M, Bredella MA. Short- and Long-Term Reproducibility of Intrahepatic Lipid Quantification by 1H-MR Spectroscopy and CT in Obesity. J Comput Assist Tomogr 2017; 40:678-82. [PMID: 27116479 DOI: 10.1097/rct.0000000000000423] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVE This study aimed to assess short- and long-term reproducibility of intrahepatic lipid (IHL) quantification by proton magnetic resonance spectroscopy (H-MRS) and computed tomography (CT). METHODS Sixteen obese subjects underwent H-MRS using a single-voxel point-resolved single-voxel spectroscopy sequence at 3 T and noncontrast single-slice CT of the liver. Measurements were repeated after 6 weeks and 6 months. Clinical parameters (weight, activity, serum lipids) were collected. Short-term (baseline to 6 weeks) and long-term (baseline to 6 months) reproducibility of IHL was assessed by coefficient of variance (CV), SD, and intraclass correlation coefficient (ICC). RESULTS Short-term reproducibility and long-term reproducibility of H-MRS were as follows: CV, 5.9% to 18.8%; SD, 0.7 to 1.9; and ICC, 0.998 to 0.995 (95% confidence interval, 0.942-0.999). Short-term reproducibility and long-term reproducibility of CT were as follows: CV, 4.4% to 14.2%; SD, 2.4 to 8.7; and ICC, 0.766 to 0.982 (95% confidence interval, 0.271-0.994). There was no significant change in clinical parameters (P > 0.3). CONCLUSIONS Proton magnetic resonance spectroscopy and CT are reproducible methods for short- and long-term quantification of IHL content. Our results can guide sample size calculations for interventional and longitudinal studies.
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Affiliation(s)
- Laura E Dichtel
- From the *Neuroendocrine Unit, and †Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA
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43
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Zazo Seco C, Castells-Nobau A, Joo SH, Schraders M, Foo JN, van der Voet M, Velan SS, Nijhof B, Oostrik J, de Vrieze E, Katana R, Mansoor A, Huynen M, Szklarczyk R, Oti M, Tranebjærg L, van Wijk E, Scheffer-de Gooyert JM, Siddique S, Baets J, de Jonghe P, Kazmi SAR, Sadananthan SA, van de Warrenburg BP, Khor CC, Göpfert MC, Qamar R, Schenck A, Kremer H, Siddiqi S. A homozygous FITM2 mutation causes a deafness-dystonia syndrome with motor regression and signs of ichthyosis and sensory neuropathy. Dis Model Mech 2016; 10:105-118. [PMID: 28067622 PMCID: PMC5312003 DOI: 10.1242/dmm.026476] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2016] [Accepted: 12/05/2016] [Indexed: 12/11/2022] Open
Abstract
A consanguineous family from Pakistan was ascertained to have a novel deafness-dystonia syndrome with motor regression, ichthyosis-like features and signs of sensory neuropathy. By applying a combined strategy of linkage analysis and whole-exome sequencing in the presented family, a homozygous nonsense mutation, c.4G>T (p.Glu2*), in FITM2 was identified. FITM2 and its paralog FITM1 constitute an evolutionary conserved protein family involved in partitioning of triglycerides into cellular lipid droplets. Despite the role of FITM2 in neutral lipid storage and metabolism, no indications for lipodystrophy were observed in the affected individuals. In order to obtain independent evidence for the involvement of FITM2 in the human pathology, downregulation of the single Fitm ortholog, CG10671, in Drosophila melanogaster was pursued using RNA interference. Characteristics of the syndrome, including progressive locomotor impairment, hearing loss and disturbed sensory functions, were recapitulated in Drosophila, which supports the causative nature of the FITM2 mutation. Mutation-based genetic counseling can now be provided to the family and insight is obtained into the potential impact of genetic variation in FITM2. Editors' choice: Loss of FITM2 function in humans causes syndromic hearing loss without any signs of a lipodystrophy, although FITM2 is known to function in lipid droplet synthesis and metabolism.
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Affiliation(s)
- Celia Zazo Seco
- Department of Otorhinolaryngology, Hearing and Genes, Radboud University Medical Center, Nijmegen 6525GA, The Netherlands.,The Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen 6525GA, The Netherlands
| | - Anna Castells-Nobau
- Department of Human Genetics, Radboud University Medical Center, Nijmegen 6525GA, The Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen 6525GA, The Netherlands
| | - Seol-Hee Joo
- Department of Cellular Neurobiology, University of Göttingen, Göttingen 37077, Germany
| | - Margit Schraders
- Department of Otorhinolaryngology, Hearing and Genes, Radboud University Medical Center, Nijmegen 6525GA, The Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen 6525GA, The Netherlands
| | - Jia Nee Foo
- Human Genetics, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore 138672, Singapore
| | - Monique van der Voet
- Department of Human Genetics, Radboud University Medical Center, Nijmegen 6525GA, The Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen 6525GA, The Netherlands
| | - S Sendhil Velan
- Laboratory of Molecular Imaging, Singapore Bioimaging Consortium, A*STAR, Clinical Imaging Research Centre, NUS-A*STAR, Singapore 138667, Singapore.,Singapore Institute for Clinical Sciences, A*STAR, Clinical Imaging Research Centre, NUS-A*STAR, Singapore 117609, Singapore
| | - Bonnie Nijhof
- Department of Human Genetics, Radboud University Medical Center, Nijmegen 6525GA, The Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen 6525GA, The Netherlands
| | - Jaap Oostrik
- Department of Otorhinolaryngology, Hearing and Genes, Radboud University Medical Center, Nijmegen 6525GA, The Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen 6525GA, The Netherlands
| | - Erik de Vrieze
- Department of Otorhinolaryngology, Hearing and Genes, Radboud University Medical Center, Nijmegen 6525GA, The Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen 6525GA, The Netherlands
| | - Radoslaw Katana
- Department of Cellular Neurobiology, University of Göttingen, Göttingen 37077, Germany
| | - Atika Mansoor
- Institute of Biomedical and Genetic Engineering (IBGE), Islamabad 44000, Pakistan
| | - Martijn Huynen
- Center for Molecular and Biomolecular Informatics, Radboud University Medical Center, Nijmegen 6525GA, The Netherlands
| | - Radek Szklarczyk
- Center for Molecular and Biomolecular Informatics, Radboud University Medical Center, Nijmegen 6525GA, The Netherlands
| | - Martin Oti
- The Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen 6525GA, The Netherlands.,Center for Molecular and Biomolecular Informatics, Radboud University Medical Center, Nijmegen 6525GA, The Netherlands.,Department of Molecular Developmental Biology, Radboud University, Nijmegen 6525GA, The Netherlands
| | - Lisbeth Tranebjærg
- Wilhelm Johannsen Centre for Functional Genome Research, Department of Cellular and Molecular Medicine (ICMM), The Panum Institute, University of Copenhagen, Copenhagen 2200, Denmark.,Department of Otorhinolaryngology, Head and Neck Surgery and Audiology, Bispebjerg Hospital/Rigshospitalet, Copenhagen 2400, Denmark.,Clinical Genetic Clinic, Kennedy Center, Copenhagen University Hospital, Rigshospitalet, Glostrup 2600, Denmark
| | - Erwin van Wijk
- Department of Otorhinolaryngology, Hearing and Genes, Radboud University Medical Center, Nijmegen 6525GA, The Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen 6525GA, The Netherlands
| | - Jolanda M Scheffer-de Gooyert
- Department of Human Genetics, Radboud University Medical Center, Nijmegen 6525GA, The Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen 6525GA, The Netherlands
| | - Saadat Siddique
- National Institute of Rehabilitation Medicine (NIRM), Islamabad 44000, Pakistan
| | - Jonathan Baets
- Neurogenetics Group, VIB-Department of Molecular Genetics, University of Antwerp, Antwerp 2610, Belgium.,Department of Neurology, Antwerp University Hospital, Antwerp 2000, Belgium.,Laboratories of Neurogenetics and Neuropathology, Institute Born-Bunge, University of Antwerp, Antwerp 2000, Belgium
| | - Peter de Jonghe
- Neurogenetics Group, VIB-Department of Molecular Genetics, University of Antwerp, Antwerp 2610, Belgium.,Department of Neurology, Antwerp University Hospital, Antwerp 2000, Belgium.,Laboratories of Neurogenetics and Neuropathology, Institute Born-Bunge, University of Antwerp, Antwerp 2000, Belgium
| | - Syed Ali Raza Kazmi
- Institute of Biomedical and Genetic Engineering (IBGE), Islamabad 44000, Pakistan
| | - Suresh Anand Sadananthan
- Laboratory of Molecular Imaging, Singapore Bioimaging Consortium, A*STAR, Clinical Imaging Research Centre, NUS-A*STAR, Singapore 138667, Singapore.,Singapore Institute for Clinical Sciences, A*STAR, Clinical Imaging Research Centre, NUS-A*STAR, Singapore 117609, Singapore
| | - Bart P van de Warrenburg
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen 6525GA, The Netherlands.,Department of Neurology, Radboud University Medical Center, Nijmegen 6525GA, The Netherlands
| | - Chiea Chuen Khor
- Human Genetics, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore 138672, Singapore.,Singapore Eye Research Institute, Singapore 168751, Singapore.,Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 168751, Singapore
| | - Martin C Göpfert
- Department of Cellular Neurobiology, University of Göttingen, Göttingen 37077, Germany
| | - Raheel Qamar
- COMSATS Institute of Information Technology, Islamabad 45550, Pakistan.,Al-Nafees Medical College & Hospital, Isra University, Islamabad 45600, Pakistan
| | - Annette Schenck
- Department of Human Genetics, Radboud University Medical Center, Nijmegen 6525GA, The Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen 6525GA, The Netherlands
| | - Hannie Kremer
- Department of Otorhinolaryngology, Hearing and Genes, Radboud University Medical Center, Nijmegen 6525GA, The Netherlands.,Department of Human Genetics, Radboud University Medical Center, Nijmegen 6525GA, The Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen 6525GA, The Netherlands
| | - Saima Siddiqi
- Institute of Biomedical and Genetic Engineering (IBGE), Islamabad 44000, Pakistan
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44
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Idilman IS, Ozdeniz I, Karcaaltincaba M. Hepatic Steatosis: Etiology, Patterns, and Quantification. Semin Ultrasound CT MR 2016; 37:501-510. [DOI: 10.1053/j.sult.2016.08.003] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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45
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Hiroshima Y, Shuto K, Yamazaki K, Kawaguchi D, Yamada M, Kikuchi Y, Kasahara K, Murakami T, Hirano A, Mori M, Kosugi C, Matsuo K, Ishida Y, Koda K, Tanaka K. Fractal Dimension of Tc-99m DTPA GSA Estimates Pathologic Liver Injury due to Chemotherapy in Liver Cancer Patients. Ann Surg Oncol 2016; 23:4384-4391. [PMID: 27439417 DOI: 10.1245/s10434-016-5441-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2016] [Indexed: 12/17/2022]
Abstract
BACKGROUND Chemotherapy-induced liver injury after potent chemotherapy is a considerable problem in patients undergoing liver resection. The aim of this study was to assess the relationship between the fractal dimension (FD) of Tc-99m diethylenetriaminepentaacetic acid (DTPA) galactosyl human serum albumin (GSA) and pathologic change of liver parenchyma in liver cancer patients who have undergone chemotherapy. METHODS We examined 34 patients (10 female and 24 male; mean age, 68.5 years) who underwent hepatectomy. Hepatic injury was defined as steatosis more than 30 %, grade 2-3 sinusoidal dilation, and/or steatohepatitis Kleiner score ≥4. Fractal analysis was applied to all images of Tc-99m DTPA GSA using a plug-in tool on ImageJ software (NIH, Bethesda, MD). A differential box-counting method was applied, and FD was calculated as a heterogeneity parameter. Correlations between FD and clinicopathological variables were examined. RESULTS FD values of patients with steatosis and steatohepatitis were significantly higher than those without (P > .001 and P > .001, respectively). There was no difference between the FD values of patients with and without sinusoidal dilatation (P = .357). Multivariate logistic regression showed FD as the only significant predictor for steatosis (P = .005; OR 36.5; 95 % CI 3.0-446.3) and steatohepatitis (P = .012; OR, 29.1; 95 % CI 2.1-400.1). CONCLUSIONS FD of Tc-99m DTPA GSA was the significant predictor for fatty liver disease in patients who underwent chemotherapy. This new modality is able to differentiate steatohepatitis from steatosis; therefore, it may be useful for predicting chemotherapy-induced pathologic liver injury.
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Affiliation(s)
- Yukihiko Hiroshima
- Department of Surgery, Teikyo University Chiba Medical Center, Ichihara, Chiba, Japan
| | - Kiyohiko Shuto
- Department of Surgery, Teikyo University Chiba Medical Center, Ichihara, Chiba, Japan
| | - Kazuto Yamazaki
- Department of Pathology, Teikyo University Chiba Medical Center, Ichihara, Japan
| | - Daisuke Kawaguchi
- Department of Surgery, Teikyo University Chiba Medical Center, Ichihara, Chiba, Japan
| | - Masatoshi Yamada
- Department of Pathology, Teikyo University Chiba Medical Center, Ichihara, Japan
| | - Yutaro Kikuchi
- Department of Surgery, Teikyo University Chiba Medical Center, Ichihara, Chiba, Japan
| | - Kohei Kasahara
- Department of Surgery, Teikyo University Chiba Medical Center, Ichihara, Chiba, Japan
| | - Takashi Murakami
- Department of Surgery, Teikyo University Chiba Medical Center, Ichihara, Chiba, Japan
| | - Atsushi Hirano
- Department of Surgery, Teikyo University Chiba Medical Center, Ichihara, Chiba, Japan
| | - Mikito Mori
- Department of Surgery, Teikyo University Chiba Medical Center, Ichihara, Chiba, Japan
| | - Chihiro Kosugi
- Department of Surgery, Teikyo University Chiba Medical Center, Ichihara, Chiba, Japan
| | - Kenichi Matsuo
- Department of Surgery, Teikyo University Chiba Medical Center, Ichihara, Chiba, Japan
| | - Yasuo Ishida
- Department of Pathology, Teikyo University Chiba Medical Center, Ichihara, Japan
| | - Keiji Koda
- Department of Surgery, Teikyo University Chiba Medical Center, Ichihara, Chiba, Japan
| | - Kuniya Tanaka
- Department of Surgery, Teikyo University Chiba Medical Center, Ichihara, Chiba, Japan.
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Di Martino M, Pacifico L, Bezzi M, Di Miscio R, Sacconi B, Chiesa C, Catalano C. Comparison of magnetic resonance spectroscopy, proton density fat fraction and histological analysis in the quantification of liver steatosis in children and adolescents. World J Gastroenterol 2016; 22:8812-8819. [PMID: 27818597 PMCID: PMC5075556 DOI: 10.3748/wjg.v22.i39.8812] [Citation(s) in RCA: 74] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2016] [Revised: 06/30/2016] [Accepted: 08/01/2016] [Indexed: 02/06/2023] Open
Abstract
AIM To establish a threshold value for liver fat content between healthy children and those with non-alcoholic fatty liver disease (NAFLD) by using magnetic resonance imaging (MRI), with liver biopsy serving as a reference standard.
METHODS The study was approved by the local ethics committee, and written informed consent was obtained from all participants and their legal guardians before the study began. Twenty-seven children with NAFLD underwent liver biopsy to assess the presence of nonalcoholic steatohepatitis. The assessment of liver fat fraction was performed using MRI, with a high field magnet and 2D gradient-echo and multiple-echo T1-weighted sequence with low flip angle and single-voxel point-resolved ¹H MR-Spectroscopy (¹H-MRS), corrected for T1 and T2* decays. Receiver operating characteristic curve analysis was used to determine the best cut-off value. Lin coefficient test was used to evaluate the correlation between histology, MRS and MRI-PDFF. A Mann-Whitney U-test and multivariate analysis were performed to analyze the continuous variables.
RESULTS According to MRS, the threshold value between healthy children and those with NAFLD is 6%; using MRI-PDFF, a cut-off value of 3.5% is suggested. The Lin analysis revealed a good fit between the histology and MRS as well as MRI-PDFF.
CONCLUSION MRS is an accurate and precise method for detecting NAFLD in children.
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Fleury N, Geldenhuys S, Gorman S. Sun Exposure and Its Effects on Human Health: Mechanisms through Which Sun Exposure Could Reduce the Risk of Developing Obesity and Cardiometabolic Dysfunction. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2016; 13:E999. [PMID: 27727191 PMCID: PMC5086738 DOI: 10.3390/ijerph13100999] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Revised: 09/30/2016] [Accepted: 10/01/2016] [Indexed: 01/10/2023]
Abstract
Obesity is a significant burden on global healthcare due to its high prevalence and associations with chronic health conditions. In our animal studies, ongoing exposure to low dose ultraviolet radiation (UVR, found in sunlight) reduced weight gain and the development of signs of cardiometabolic dysfunction in mice fed a high fat diet. These observations suggest that regular exposure to safe levels of sunlight could be an effective means of reducing the burden of obesity. However, there is limited knowledge around the nature of associations between sun exposure and the development of obesity and cardiometabolic dysfunction, and we do not know if sun exposure (independent of outdoor activity) affects the metabolic processes that determine obesity in humans. In addition, excessive sun exposure has strong associations with a number of negative health consequences such as skin cancer. This means it is very important to "get the balance right" to ensure that we receive benefits without increasing harm. In this review, we detail the evidence around the cardiometabolic protective effects of UVR and suggest mechanistic pathways through which UVR could be beneficial.
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Affiliation(s)
- Naomi Fleury
- Telethon Kids Institute, University of Western Australia, P.O. Box 855, Perth 6872, Australia.
| | - Sian Geldenhuys
- Telethon Kids Institute, University of Western Australia, P.O. Box 855, Perth 6872, Australia.
| | - Shelley Gorman
- Telethon Kids Institute, University of Western Australia, P.O. Box 855, Perth 6872, Australia.
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Golabi P, Sayiner M, Fazel Y, Koenig A, Henry L, Younossi ZM. Current complications and challenges in nonalcoholic steatohepatitis screening and diagnosis. Expert Rev Gastroenterol Hepatol 2016; 10:63-71. [PMID: 26469309 DOI: 10.1586/17474124.2016.1099433] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Nonalcoholic steatohepatitis (NASH) can lead to complications such as liver failure, cirrhosis and hepatocellular carcinoma. The diagnostic gold standard for NASH is liver biopsy; however, other noninvasive methods have been developed. In this article, the authors evaluate current methods in NASH screening and diagnosis. Routine radiologic modalities were found to detect hepatic steatosis accurately, but were unable to establish the diagnosis of NASH or stage of fibrosis. Newly developed elastography based techniques seem promising to estimate liver fibrosis. Other noninvasive tests such as FibroTest, ELF, Hepascore, FIB-4, NFS, FLI and ION (biochemical panels) have AUROCs ranging between 0.80-0.98 for detecting advanced fibrosis but lack specificity for detecting mild fibrosis. Noninvasive tools, especially elastography, identify NASH associated advanced fibrosis potentially reducing liver biopsies. More research is needed to validate the clinical utility of these tests.
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Affiliation(s)
- Pegah Golabi
- a Betty and Guy Beatty Center for Integrated Research , Inova Health System , Falls Church , VA , USA
| | - Mehmet Sayiner
- a Betty and Guy Beatty Center for Integrated Research , Inova Health System , Falls Church , VA , USA
| | - Yousef Fazel
- a Betty and Guy Beatty Center for Integrated Research , Inova Health System , Falls Church , VA , USA
| | - Aaron Koenig
- a Betty and Guy Beatty Center for Integrated Research , Inova Health System , Falls Church , VA , USA
| | - Linda Henry
- a Betty and Guy Beatty Center for Integrated Research , Inova Health System , Falls Church , VA , USA
| | - Zobair M Younossi
- a Betty and Guy Beatty Center for Integrated Research , Inova Health System , Falls Church , VA , USA.,b Center for Liver Disease, Department of Medicine , Inova Fairfax Hospital , Falls Church , VA , USA
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Abstract
The diagnostics of diffuse liver disease traditionally rely on liver biopsies and histopathological analysis of tissue specimens. However, a liver biopsy is invasive and carries some non-negligible risks, especially for patients with decreased liver function and those requiring repeated follow-up examinations. Over the last decades, magnetic resonance imaging (MRI) has developed into a valuable tool for the non-invasive characterization of focal liver lesions and diseases of the bile ducts. Recently, several MRI methods have been developed and clinically evaluated that also allow the diagnostics and staging of diffuse liver diseases, e.g. non-alcoholic fatty liver disease, hepatitis, hepatic fibrosis, liver cirrhosis, hemochromatosis and hemosiderosis. The sequelae of diffuse liver diseases, such as a decreased liver functional reserve or portal hypertension, can also be detected and quantified by modern MRI methods. This article provides the reader with the basic principles of functional MRI of the liver and discusses the importance in a clinical context.
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The Flexibility of Ectopic Lipids. Int J Mol Sci 2016; 17:ijms17091554. [PMID: 27649157 PMCID: PMC5037826 DOI: 10.3390/ijms17091554] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2016] [Revised: 08/30/2016] [Accepted: 09/01/2016] [Indexed: 02/07/2023] Open
Abstract
In addition to the subcutaneous and the visceral fat tissue, lipids can also be stored in non-adipose tissue such as in hepatocytes (intrahepatocellular lipids; IHCL), skeletal (intramyocellular lipids; IMCL) or cardiac muscle cells (intracardiomyocellular lipids; ICCL). Ectopic lipids are flexible fuel stores that can be depleted by physical exercise and repleted by diet. They are related to obesity and insulin resistance. Quantification of IMCL was initially performed invasively, using muscle biopsies with biochemical and/or histological analysis. 1H-magnetic resonance spectroscopy (1H-MRS) is now a validated method that allows for not only quantifying IMCL non-invasively and repeatedly, but also assessing IHCL and ICCL. This review summarizes the current available knowledge on the flexibility of ectopic lipids. The available evidence suggests a complex interplay between quantitative and qualitative diet, fat availability (fat mass), insulin action, and physical exercise, all important factors that influence the flexibility of ectopic lipids. Furthermore, the time frame of the intervention on these parameters (short-term vs. long-term) appears to be critical. Consequently, standardization of physical activity and diet are critical when assessing ectopic lipids in predefined clinical situations.
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