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Wu S, Pan J, Song M, Zhao YC, Chen W, Huang H, Zhu Y, Chen F. Performance of Magnetic Resonance Imaging and Ultrasound for Identifying the Different Degrees of Hepatic Steatosis: A Systematic Review and Meta-analysis. Acad Radiol 2025:S1076-6332(25)00204-1. [PMID: 40164534 DOI: 10.1016/j.acra.2025.03.008] [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: 01/02/2025] [Revised: 03/05/2025] [Accepted: 03/06/2025] [Indexed: 04/02/2025]
Abstract
BACKGROUND MRI proton density fat fraction (MRI-PDFF), controlled attenuation parameters (CAP), and attenuation coefficients (AC) are capable of steatosis characterization and may be useful as noninvasive alternatives for diagnosing hepatic steatosis. PURPOSE This meta-analysis aimed to evaluate the performance of MRI-PDFF, CAP, and AC in grading hepatic steatosis, using histology as the reference standard. METHODS We conducted a comprehensive search of the PubMed, Cochrane Library, Embase, and Web of Science databases until June 2024. The quality of eligible studies was assessed. Pooled sensitivity, specificity, and area under receiver operating characteristic (AUC) curves were calculated using a bivariate random-effects model. Meta-regression analysis, subgroup analysis, and Deeks' test were performed to explore heterogeneity and assess publication bias. RESULTS This meta-analysis included 38 studies with 5056 patients with metabolic dysfunction-associated steatotic liver disease. The AUC values for grading steatosis ≥S1, ≥S2, and ≥S3 were 0.99, 0.89, and 0.90 for MRI-PDFF, 0.95, 0.84, and 0.77 for CAP, and 0.97, 0.90, and 0.89 for AC, respectively. CAP demonstrated lower accuracy for detecting steatosis grades ≥S2 and ≥S3 compared to MRI-PDFF (0.89 vs. 0.84, p<0.001; 0.90 vs. 0.77, p<0.001) and AC (0.90 vs. 0.84, p<0.001; 0.89 vs. 0.77, p<0.001). Subgroup analyses revealed that MRI-PDFF and CAP exhibited superior diagnostic performance in diagnosing ≥S2 and ≥S3 steatosis among individuals in Asia, with a body mass index ≤30 kg/m2, and age <51 years. CONCLUSION A direct comparison with CAP showed greater accuracy for MRI-PDFF and AC in diagnosing moderate and severe steatosis, and similar diagnostic performance for MRI-PDFF and AC. For patients with steatosis, AC should be incorporated into routine ultrasound screening.
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Affiliation(s)
- Shuzhen Wu
- Department of Radiology, The First Affiliated Hospital, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou 310003, China (S.W., J.P., M.S., Y.C.Z., W.C., H.H., Y.Z., F.C.)
| | - Junhan Pan
- Department of Radiology, The First Affiliated Hospital, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou 310003, China (S.W., J.P., M.S., Y.C.Z., W.C., H.H., Y.Z., F.C.)
| | - Mengchen Song
- Department of Radiology, The First Affiliated Hospital, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou 310003, China (S.W., J.P., M.S., Y.C.Z., W.C., H.H., Y.Z., F.C.); Department of Radiology, Shulan (Hang Zhou) Hospital, No. 848 Dongxin Road, Hangzhou 310003, China (M.S.)
| | - Yan-Ci Zhao
- Department of Radiology, The First Affiliated Hospital, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou 310003, China (S.W., J.P., M.S., Y.C.Z., W.C., H.H., Y.Z., F.C.)
| | - Wuyue Chen
- Department of Radiology, The First Affiliated Hospital, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou 310003, China (S.W., J.P., M.S., Y.C.Z., W.C., H.H., Y.Z., F.C.)
| | - Huizhen Huang
- Department of Radiology, The First Affiliated Hospital, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou 310003, China (S.W., J.P., M.S., Y.C.Z., W.C., H.H., Y.Z., F.C.)
| | - Yanyan Zhu
- Department of Radiology, The First Affiliated Hospital, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou 310003, China (S.W., J.P., M.S., Y.C.Z., W.C., H.H., Y.Z., F.C.)
| | - Feng Chen
- Department of Radiology, The First Affiliated Hospital, Zhejiang University School of Medicine, No.79 Qingchun Road, Hangzhou 310003, China (S.W., J.P., M.S., Y.C.Z., W.C., H.H., Y.Z., F.C.).
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Long L, Wu Y, Tang H, Xiao Y, Wang M, Shen L, Shi Y, Feng S, Li C, Lin J, Tang S, Wu C. Development and validation of a scoring system to predict MASLD patients with significant hepatic fibrosis. Sci Rep 2025; 15:9639. [PMID: 40113920 PMCID: PMC11926222 DOI: 10.1038/s41598-025-91013-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2024] [Accepted: 02/17/2025] [Indexed: 03/22/2025] Open
Abstract
To address the need for a simple model to predict ≥ F2 fibrosis in metabolic dysfunction-associated steatotic liver disease (MASLD) patients, a study utilized data from 791 biopsy-proven MASLD patients from the NASH Clinical Research Network and Jinan University First Affiliated Hospital. The data were divided into training and internal testing sets through randomized stratified sampling. A multivariable logistic regression model using key categorical variables was developed to identify ≥ F2 fibrosis. External validation was performed using data from the FLINT trial and multiple centers in China. The DA-GAG score, incorporating diabetes, age, GGT, aspartate aminotransferase/ platelet ratio, and globulin/ total protein ratio, demonstrated superior performance in distinguishing ≥ F2 fibrosis with an area under the receiver operating characteristic curve of 0.79 in training and over 0.80 in testing datasets. The DA-GAG score efficiently identifies MASLD patients with ≥ F2 fibrosis, significantly reducing the medical burden.
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Affiliation(s)
- Linjing Long
- Department of Gastroenterology, the Fifth Affiliated Hospital, Guangzhou Medical University, Guangdong, 510700, People's Republic of China
| | - Yue Wu
- Department of Hepatology, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangdong, 510440, People's Republic of China
| | - Huijun Tang
- Department of Gastroenterology, Shenzhen Integrated Traditional Chinese and Western Medicine Hospital, Shenzhen, 518104, People's Republic of China
| | - Yanhua Xiao
- Department of Pathology, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangdong, 510440, People's Republic of China
| | - Min Wang
- Department of Gastroenterology, the First Affiliated Hospital, Jinan University, Guangzhou, 510630, Guangdong, People's Republic of China
| | - Lianli Shen
- Department of Gastroenterology, the First Affiliated Hospital, Jinan University, Guangzhou, 510630, Guangdong, People's Republic of China
| | - Ying Shi
- Department of Gastroenterology, the First Affiliated Hospital, Jinan University, Guangzhou, 510630, Guangdong, People's Republic of China
| | - Shufen Feng
- Department of Gastroenterology, the First Affiliated Hospital, Jinan University, Guangzhou, 510630, Guangdong, People's Republic of China
| | - Chujing Li
- Department of Hepatology, Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangdong, 510440, People's Republic of China
| | - Jiaheng Lin
- Department of Gastrointestinal Surgery, He Fifth Affiliated Hospital, Guangzhou Medical University, Guangdong, 510700, People's Republic of China
| | - Shaohui Tang
- Department of Gastroenterology, the First Affiliated Hospital, Jinan University, Guangzhou, 510630, Guangdong, People's Republic of China.
| | - Chutian Wu
- Department of Gastroenterology, the Fifth Affiliated Hospital, Guangzhou Medical University, Guangdong, 510700, People's Republic of China.
- Department of Gastroenterology, the First Affiliated Hospital, Jinan University, Guangzhou, 510630, Guangdong, People's Republic of China.
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3
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Duarte-Rojo A, Taouli B, Leung DH, Levine D, Nayfeh T, Hasan B, Alsawaf Y, Saadi S, Majzoub AM, Manolopoulos A, Haffar S, Dundar A, Murad MH, Rockey DC, Alsawas M, Sterling RK. Imaging-based noninvasive liver disease assessment for staging liver fibrosis in chronic liver disease: A systematic review supporting the AASLD Practice Guideline. Hepatology 2025; 81:725-748. [PMID: 38489521 DOI: 10.1097/hep.0000000000000852] [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] [Received: 11/09/2023] [Accepted: 01/19/2024] [Indexed: 03/17/2024]
Abstract
BACKGROUND AND AIMS Transient elastography (TE), shear wave elastography, and/or magnetic resonance elastography (MRE), each providing liver stiffness measurement (LSM), are the most studied imaging-based noninvasive liver disease assessment (NILDA) techniques. To support the American Association for the Study of Liver Diseases guidelines on NILDA, we summarized the evidence on the accuracy of these LSM methods to stage liver fibrosis (F). APPROACH AND RESULTS A comprehensive search for studies assessing LSM by TE, shear wave elastography, or MRE for the identification of significant fibrosis (F2-4), advanced fibrosis (F3-4), or cirrhosis (F4), using histopathology as the standard of reference by liver disease etiology in adults or children from inception to April 2022 was performed. We excluded studies with <50 patients with a single disease entity and mixed liver disease etiologies (with the exception of HCV/HIV coinfection). Out of 9447 studies, 240 with 61,193 patients were included in this systematic review. In adults, sensitivities for the identification of F2-4 ranged from 51% to 95%, for F3-4 from 70% to 100%, and for F4 from 60% to 100% across all techniques/diseases, whereas specificities ranged from 36% to 100%, 74% to 100%, and 67% to 99%, respectively. The largest body of evidence available was for TE; MRE appeared to be the most accurate method. Imaging-based NILDA outperformed blood-based NILDA in most comparisons, particularly for the identification of F3-4/F4. In the pediatric population, imaging-based NILDA is likely as accurate as in adults. CONCLUSIONS LSM from TE, shear wave elastography, and MRE shows acceptable to outstanding accuracy for the detection of liver fibrosis across various liver disease etiologies. Accuracy increased from F2-4 to F3-4 and was the highest for F4. Further research is needed to better standardize the use of imaging-based NILDA, particularly in pediatric liver diseases.
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Affiliation(s)
- Andres Duarte-Rojo
- Division of Gastroenterology and Hepatology, Northwestern Medicine and Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Bachir Taouli
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Daniel H Leung
- Department of Pediatrics, Baylor College of Medicine and Division of Gastroenterology, Hepatology and Nutrition, Texas Children's Hospital, Houston, Texas, USA
| | - Deborah Levine
- Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Tarek Nayfeh
- Mayo Clinic Evidence-based Practice Center, Mayo Clinic, Rochester, Minnesota, USA
| | - Bashar Hasan
- Mayo Clinic Evidence-based Practice Center, Mayo Clinic, Rochester, Minnesota, USA
| | - Yahya Alsawaf
- Mayo Clinic Evidence-based Practice Center, Mayo Clinic, Rochester, Minnesota, USA
| | - Samer Saadi
- Mayo Clinic Evidence-based Practice Center, Mayo Clinic, Rochester, Minnesota, USA
| | | | | | - Samir Haffar
- Mayo Clinic Evidence-based Practice Center, Mayo Clinic, Rochester, Minnesota, USA
| | - Ayca Dundar
- Mayo Clinic Evidence-based Practice Center, Mayo Clinic, Rochester, Minnesota, USA
| | - M Hassan Murad
- Mayo Clinic Evidence-based Practice Center, Mayo Clinic, Rochester, Minnesota, USA
| | - Don C Rockey
- Digestive Disease Research Center, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Mouaz Alsawas
- Mayo Clinic Evidence-based Practice Center, Mayo Clinic, Rochester, Minnesota, USA
| | - Richard K Sterling
- Section of Hepatology, Department of Medicine, Virginia Commonwealth University, Richmond, Virginia, USA
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Velji-Ibrahim J, Woodard J, Alden J, Abrams GA. FibroScan Discordance With Liver Biopsy Significantly Overestimates Advanced Fibrosis and Cirrhosis in MASLD Subjects With Class 3 Obesity: Implications for Resmetirom Eligibility. J Clin Gastroenterol 2025:00004836-990000000-00406. [PMID: 39787351 DOI: 10.1097/mcg.0000000000002132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2024] [Accepted: 12/12/2024] [Indexed: 01/12/2025]
Abstract
GOALS To investigate the effect of obesity on the stages of fibrosis discordance between FibroScan and liver biopsy. BACKGROUND Metabolic dysfunction-associated steatotic liver disease (MASLD) is the leading cause of liver disease worldwide. Accurate fibrosis assessment is essential in MASLD patients for prognosis and treatment. Vibration-controlled transient elastography using FibroScan can overestimate liver fibrosis in obese patients. STUDY This retrospective study included 245 MASLD patients who underwent FibroScan and liver biopsy. Participants were included with FibroScan controlled attenuation parameter (CAP) 250+, 10 liver stiffness measurements (LSM) with IQR/med ≤30%, and 10+ portal tracts on biopsy. Discordance was defined as a ≥2 stage difference between FibroScan and liver biopsy. Participants were stratified by BMI and obesity class to assess their association with discordance. We conducted a post hoc analysis to determine the implication of discordance on resmetirom eligibility. Data was entered into SPSS v28. RESULTS Among 245 patients, 29.4% exhibited a ≥2 stage discordance between FibroScan and biopsy. Class 3 obesity was significantly associated with discordance (38.6%) compared with class 2 obesity (24.6%) and class 0 to 1 obesity (18.4%). FibroScan suggested cirrhosis in 66 (57.9%) participants with class 3 obesity, however, liver biopsy confirmed cirrhosis in only 16 (24.2%) subjects and identified 28 (42.4%) subjects with stages 2 to 3 fibrosis, making them potentially eligible for resmetirom. CONCLUSIONS FibroScan significantly overestimates advanced fibrosis and cirrhosis in class 3 obesity. A second noninvasive test is warranted for accurate liver-directed therapeutic allocation and to minimize unnecessary biopsies in MASLD management.
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Affiliation(s)
- Jena Velji-Ibrahim
- Departments of Internal Medicine
- University of South Carolina School of Medicine, Greenville, SC
| | - Jordan Woodard
- Departments of Internal Medicine
- University of South Carolina School of Medicine, Greenville, SC
| | - Jay Alden
- Pathology, Prisma Health-Upstate
- University of South Carolina School of Medicine, Greenville, SC
| | - Gary A Abrams
- Departments of Internal Medicine
- University of South Carolina School of Medicine, Greenville, SC
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5
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Gong P, Zhang J, Huang C, Lok UW, Tang S, Liu H, DeRuiter R, Peterson K, Knoll K, Robinson K, Watt K, Callstrom M, Chen S. Novel Quantitative Liver Steatosis Assessment Method With Ultrasound Harmonic Imaging. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2025; 44:77-85. [PMID: 39315751 PMCID: PMC11634646 DOI: 10.1002/jum.16582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2024] [Revised: 09/09/2024] [Accepted: 09/11/2024] [Indexed: 09/25/2024]
Abstract
OBJECTIVES Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most prevalent liver disorder in Western countries, with approximately 20%-30% of the MASLD patients progressing to severe stages. There is an urgent need for noninvasive, cost-effective, widely accessible, and precise biomarkers to evaluate liver steatosis. This study aims to assess and compare the diagnostic performance of a novel reference frequency method-based ultrasound attenuation coefficient estimation (ACE) in both fundamental (RFM-ACE-FI) and harmonic (RFM-ACE-HI) imaging for detecting and grading liver steatosis. METHODS An Institutional Review Board-approved prospective study was carried out between December 2018 and October 2022. A total number of 130 subjects were enrolled in the study. The correlation between RFM-ACE-HI values and magnetic resonance imaging proton density fat fraction (MRI-PDFF), as well as between RFM-ACE-FI values and MRI-PDFF were calculated. The diagnostic performance of RFM-ACE-FI and RFM-ACE-HI was evaluated using receiver operating characteristic (ROC) curve analysis, as compared to MRI-PDFF. The reproducibility of RFM-ACE-HI was assessed by interobserver agreement between two sonographers. RESULTS A strong correlation was observed between RFM-ACE-HI and MRI-PDFF, with R = 0.88 (95% confidence interval [CI]: 0.83-0.92; P < .001), while the correlation between RFM-ACE-FI and MRI-PDFF was R = 0.65 (95% CI: 0.50-0.76; P < .001). The area under the ROC (AUROC) curve for RFM-ACE-HI in staging liver steatosis grades of S ≥ 1 and S ≥ 2 was 0.97 (95% CI: 0.91-0.99; P < .001) and 0.98 (95% CI: 0.93-1.00; P < .001), respectively, and 0.76 (95% CI: 0.65-0.85) and 0.80 (95% CI: 0.70-0.88) for RFM-ACE-FI, respectively. Great reproducibility was achieved for RFM-ACE-HI, with an interobserver agreement of R = 0.97 (95% CI: 0.94-0.99; P < .001). CONCLUSIONS The novel RFM-ACE-HI method offered high liver steatosis diagnostic accuracy and reproducibility, which has important clinical implications for early disease intervention and treatment evaluation.
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Affiliation(s)
- Ping Gong
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | - Jingke Zhang
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | - Chengwu Huang
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | - U-Wai Lok
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | - Shanshan Tang
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | - Hui Liu
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
- Department of Ultrasound, the First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China
| | - Ryan DeRuiter
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | - Kendra Peterson
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | - Kate Knoll
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Kymberly Watt
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Shigao Chen
- Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA
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6
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Chon YE, Jin YJ, An J, Kim HY, Choi M, Jun DW, Kim MN, Han JW, Lee HA, Yu JH, Kim SU. Optimal cut-offs of vibration-controlled transient elastography and magnetic resonance elastography in diagnosing advanced liver fibrosis in patients with nonalcoholic fatty liver disease: A systematic review and meta-analysis. Clin Mol Hepatol 2024; 30:S117-S133. [PMID: 39165159 PMCID: PMC11493355 DOI: 10.3350/cmh.2024.0392] [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: 05/24/2024] [Revised: 08/19/2024] [Accepted: 08/20/2024] [Indexed: 08/22/2024] Open
Abstract
BACKGROUND/AIMS Opinions differ regarding vibration-controlled transient elastography and magnetic resonance elastography (VCTE/MRE) cut-offs for diagnosing advanced fibrosis (AF) in patients with non-alcoholic fatty liver disease (NAFLD). We investigated the diagnostic performance and optimal cut-off values of VCTE and MRE for diagnosing AF. METHODS Literature databases, including Medline, EMBASE, Cochrane Library, and KoreaMed, were used to identify relevant studies published up to June 13, 2023. We selected studies evaluating VCTE and MRE regarding the degree of liver fibrosis using liver biopsy as the reference. The sensitivity, specificity, and area under receiver operating characteristics curves (AUCs) of the pooled data for VCTE and MRE for each fibrosis stage and optimal cut-offs for AF were investigated. RESULTS A total of 19,199 patients from 63 studies using VCTE showed diagnostic AUC of 0.83 (95% confidence interval: 0.80-0.86), 0.83 (0.80-0.86), 0.87 (0.84-0.90), and 0.94 (0.91-0.96) for ≥F1, ≥F2, ≥F3, and F4 stages, respectively. Similarly, 1,484 patients from 14 studies using MRE showed diagnostic AUC of 0.89 (0.86-0.92), 0.92 (0.89-0.94), 0.89 (0.86-0.92), and 0.94 (0.91-0.96) for ≥F1, ≥F2, ≥F3, and F4 stages, respectively. The diagnostic AUC for AF using VCTE was highest at 0.90 with a cut-off of 7.1-7.9 kPa, and that of MRE was highest at 0.94 with a cut-off of 3.62-3.8 kPa. CONCLUSION VCTE (7.1-7.9 kPa) and MRE (3.62-3.8 kPa) with the suggested cut-offs showed favorable accuracy for diagnosing AF in patients with NAFLD. This result will serve as a basis for clinical guidelines for non-invasive tests and differential diagnosis of AF.
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Affiliation(s)
- Young Eun Chon
- Department of Gastroenterology, CHA Bundang Medical Center, CHA University, Seongnam, Korea
| | - Young-Joo Jin
- Department of Internal Medicine, Inha University Hospital, Inha University School of Medicine, Incheon, Korea
| | - Jihyun An
- Department of Gastroenterology and Hepatology, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea
| | - Hee Yeon Kim
- Department of Internal Medicine, College of Medicine, Bucheon St. Mary’s Hospital, The Catholic University of Korea, Seoul, Korea
| | - Miyoung Choi
- Division of Health Technology Assessment Research, National Evidence-Based Healthcare Collaborating Agency (NECA), Seoul, Korea
| | - Dae Won Jun
- Department of Internal Medicine, Hanyang University Hospital, Hanyang University College of Medicine, Seoul, Korea
| | - Mi Na Kim
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- Yonsei Liver Center, Severance Hospital, Seoul, Korea
| | - Ji Won Han
- Department of Internal Medicine, College of Medicine, Seoul St. Mary’s Hospital, The Catholic University of Korea, Seoul, Korea
| | - Han Ah Lee
- Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea
| | - Jung Hwan Yu
- Department of Internal Medicine, Inha University Hospital, Inha University School of Medicine, Incheon, Korea
| | - Seung Up Kim
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
- Yonsei Liver Center, Severance Hospital, Seoul, Korea
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Ogawa S, Kumada T, Gotoh T, Niwa F, Toyoda H, Tanaka J, Shimizu M. A comparative study of hepatic steatosis using two different qualitative ultrasound techniques measured based on magnetic resonance imaging-derived proton density fat fraction. Hepatol Res 2024; 54:638-654. [PMID: 38294946 DOI: 10.1111/hepr.14019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 01/06/2024] [Accepted: 01/16/2024] [Indexed: 02/02/2024]
Abstract
AIM This study aimed to evaluate the diagnostic performance of attenuation measurement (ATT; dual-frequency method) and improved algorithm of ATT (iATT; reference method) for the assessment of hepatic steatosis using magnetic resonance imaging (MRI)-derived proton density fat fraction (PDFF) as the reference standard. METHODS We prospectively analyzed 427 patients with chronic liver disease who underwent ATT, iATT, or MRI-derived PDFF. Correlation coefficients were analyzed, and diagnostic values were evaluated by area under the receiver operating characteristic curve (AUROC). The steatosis grade was categorized as S0 (<5.2%), S1 (≥5.2%, <11.3%), S2 (≥11.3%, <17.1%), and S3 (≥17.1%) according to MRI-derived PDFF values. RESULTS The median ATT and iATT values were 0.61 dB/cm/MHz (interquartile range 0.55-0.67 dB/cm/MHz) and 0.66 dB/cm/MHz (interquartile range 0.57-0.77 dB/cm/MHz). ATT and iATT values increased significantly as the steatosis grade increased in the order S0, S1, S2, and S3 (p < 0.001). The correlation coefficients between ATT or iATT values and MRI-derived PDFF values were 0.533 (95% confidence interval [CI] 0.477-0.610) and 0.803 (95% CI 0.766-0.834), with a significant difference between them (p < 0.001). For the detection of hepatic steatosis of ≥S1, ≥S2, and ≥S3, iATT yielded AUROCs of 0.926 (95% CI 0.901-0.951), 0.913 (95% CI 0.885-0.941), and 0.902 (95% CI 0.869-0.935), with significantly higher AUROC values than for ATT (p < 0.001, p < 0.001, p = 0.001). CONCLUSION iATT showed excellent diagnostic performance for hepatic steatosis, and was strongly correlated with MRI-derived PDFF, with AUROCs of ≥0.900.
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Affiliation(s)
- Sadanobu Ogawa
- Department of Imaging Diagnosis, Ogaki Municipal Hospital, Ogaki, Gifu, Japan
| | - Takashi Kumada
- Department of Nursing, Faculty of Nursing, Gifu Kyoritsu University, Ogaki, Gifu, Japan
| | - Tatsuya Gotoh
- Department of Imaging Diagnosis, Ogaki Municipal Hospital, Ogaki, Gifu, Japan
| | - Fumihiko Niwa
- Department of Imaging Diagnosis, Ogaki Municipal Hospital, Ogaki, Gifu, Japan
| | - Hidenori Toyoda
- Department of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Ogaki, Gifu, Japan
| | - Junko Tanaka
- Department of Epidemiology, Infectious Disease Control, and Prevention, Hiroshima University Institute of Biomedical and Health Sciences, Hiroshima, Japan
| | - Masahito Shimizu
- Department of Gastroenterology/Internal Medicine, Graduate School of Medicine, Gifu University, Gifu, Japan
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Villani R, Lupo P, Sangineto M, Romano AD, Serviddio G. Liver Ultrasound Elastography in Non-Alcoholic Fatty Liver Disease: A State-of-the-Art Summary. Diagnostics (Basel) 2023; 13:1236. [PMID: 37046454 PMCID: PMC10093430 DOI: 10.3390/diagnostics13071236] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 03/21/2023] [Accepted: 03/23/2023] [Indexed: 03/29/2023] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is a chronic disease which is currently the most common hepatic disorder affecting up to 38% of the general population with differences according to age, country, ethnicity and sex. Both genetic and acquired risk factors such as a high-calorie diet or high intake of saturated fats have been associated with obesity, diabetes and, finally, NAFLD. A liver biopsy has always been considered essential for the diagnosis of NAFLD; however, due to several limitations such as the potential occurrence of major complications, sampling variability and the poor repeatability in clinical practice, it is considered an imperfect option for the evaluation of liver fibrosis over time. For these reasons, a non-invasive assessment by serum biomarkers and the quantification of liver stiffness is becoming the new frontier in the management of patients with NAFLD and liver fibrosis. We present a state-of-the-art summary addressing the methods for the non-invasive evaluation of liver fibrosis in NAFLD patients, particularly the ultrasound-based techniques (transient elastography, ARFI techniques and strain elastography) and their optimal cut-off values for the staging of liver fibrosis.
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Affiliation(s)
- Rosanna Villani
- Liver Unit, C.U.R.E. (University Centre for Liver Disease Research and Treatment), Department of Medical and Surgical Sciences, University of Foggia, 71122 Foggia, Italy
| | - Pierluigi Lupo
- Department of Radiology, University of Foggia, 71122 Foggia, Italy
| | - Moris Sangineto
- Liver Unit, C.U.R.E. (University Centre for Liver Disease Research and Treatment), Department of Medical and Surgical Sciences, University of Foggia, 71122 Foggia, Italy
| | - Antonino Davide Romano
- Liver Unit, C.U.R.E. (University Centre for Liver Disease Research and Treatment), Department of Medical and Surgical Sciences, University of Foggia, 71122 Foggia, Italy
| | - Gaetano Serviddio
- Liver Unit, C.U.R.E. (University Centre for Liver Disease Research and Treatment), Department of Medical and Surgical Sciences, University of Foggia, 71122 Foggia, Italy
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Imajo K, Toyoda H, Yasuda S, Suzuki Y, Sugimoto K, Kuroda H, Akita T, Tanaka J, Yasui Y, Tamaki N, Kurosaki M, Izumi N, Nakajima A, Kumada T. Utility of Ultrasound-Guided Attenuation Parameter for Grading Steatosis With Reference to MRI-PDFF in a Large Cohort. Clin Gastroenterol Hepatol 2022; 20:2533-2541.e7. [PMID: 34768008 DOI: 10.1016/j.cgh.2021.11.003] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 10/19/2021] [Accepted: 11/02/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS Ultrasound-guided attenuation parameter (UGAP) is recently developed for noninvasive evaluation of steatosis. However, reports on its usefulness in clinical practice are limited. This prospective multicenter study analyzed the diagnostic accuracy of grading steatosis with reference to magnetic resonance imaging-based proton density fat fraction (MRI-PDFF), a noninvasive method with high accuracy, in a large cohort. METHODS Altogether, 1010 patients with chronic liver disease who underwent MRI-PDFF and UGAP were recruited and prospectively enrolled from 6 Japanese liver centers. Linearity was evaluated using intraclass correlation coefficients between MRI-PDFF and UGAP values. Bias, defined as the mean difference between MRI-PDFF and UGAP values, was assessed by Bland-Altman analysis. UGAP cutoffs for pairwise MRI-PDFF-based steatosis grade were determined using area under the receiver-operating characteristic curve (AUROC) analyses. RESULTS UGAP values were shown to be normally distributed. However, because PDFF values were not normally distributed, they were log-transformed (MRI-logPDFF). UGAP values significantly correlated with MRI-logPDFF (intraclass correlation coefficient = 0.768). Additionally, Bland-Altman analysis showed good agreement between MRI-logPDFF and UGAP with a mean bias of 0.0002% and a narrow range of agreement (95% confidence interval [CI], -0.015 to 0.015). The AUROCs for distinguishing steatosis grade ≥1 (MRI-PDFF ≥5.2%), ≥2 (MRI-PDFF ≥11.3%), and 3 (MRI-PDFF ≥17.1%) were 0.910 (95% CI, 0.891-0.928), 0.912 (95% CI, 0.894-0.929), and 0.894 (95% CI, 0.873-0.916), respectively. CONCLUSIONS UGAP has excellent diagnostic accuracy for grading steatosis with reference to MRI-PDFF. Additionally, UGAP has good linearity and negligible bias, suggesting that UGAP has excellent technical performance characteristics that can be widely used in clinical trials and patient care. (UMIN Clinical Trials Registry, Number: UMIN000041196).
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Affiliation(s)
- Kento Imajo
- Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan; Department of Gastroenterology, Shin-Yurigaoka General Hospital, Kawasaki, Japan.
| | - Hidenori Toyoda
- Department of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Ogaki, Japan
| | - Satoshi Yasuda
- Department of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Ogaki, Japan
| | - Yasuaki Suzuki
- Department of Gastroenterology, Nayoro City General Hospital, Nayoro, Japan
| | - Katsutoshi Sugimoto
- Department of Gastroenterology and Hepatology, Tokyo Medical University, Tokyo, Japan
| | - Hidekatsu Kuroda
- Division of Hepatology, Department of Internal Medicine, Iwate Medical University, Yahaba, Japan
| | - Tomoyuki Akita
- Department of Epidemiology, Infectious Disease Control, and Prevention, Hiroshima University Institute of Biomedical and Health Sciences, Hiroshima, Japan
| | - Junko Tanaka
- Department of Epidemiology, Infectious Disease Control, and Prevention, Hiroshima University Institute of Biomedical and Health Sciences, Hiroshima, Japan
| | - Yutaka Yasui
- Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Musashino, Japan
| | - Nobuharu Tamaki
- Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Musashino, Japan
| | - Masayuki Kurosaki
- Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Musashino, Japan
| | - Namiki Izumi
- Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Musashino, Japan
| | - Atsushi Nakajima
- Department of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Takashi Kumada
- Department of Nursing, Gifu Kyoritsu University, Ogaki, Japan
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10
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Cao YT, Xiang LL, Qi F, Zhang YJ, Chen Y, Zhou XQ. Accuracy of controlled attenuation parameter (CAP) and liver stiffness measurement (LSM) for assessing steatosis and fibrosis in non-alcoholic fatty liver disease: A systematic review and meta-analysis. EClinicalMedicine 2022; 51:101547. [PMID: 35844772 PMCID: PMC9284399 DOI: 10.1016/j.eclinm.2022.101547] [Citation(s) in RCA: 67] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 06/16/2022] [Accepted: 06/20/2022] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Non-alcoholic fatty liver disease (NAFLD) is a common chronic liver disease, and among the non-invasive tests, controlled attenuation parameter (CAP) and liver stiffness measurement (LSM) have shown better diagnostic performance in NAFLD. This meta-analysis aimed to evaluate the performance of CAP and LSM for assessing steatosis and fibrosis in NAFLD. METHODS We searched the PubMed, Web of Science, Cochrane Library, and Embase databases for relevant articles published up to February 13th, 2022, and selected studies that met the inclusion and exclusion criteria, and evaluated the quality of evidence. Then we pooled sensitivity (SE), specificity (SP), and area under receiver operating characteristic (AUROC) curves. A random effect model was applied regardless of heterogeneity. Meta-regression analysis and subgroup analysis were performed to explore heterogeneity, and Fagan plot analysis was used to evaluate clinical utility. This meta-analysis was completed in Nanjing, Jiangsu and registered on PROSPERO (CRD42022309965). FINDINGS A total of 10537 patients from 61 studies were included in our meta-analysis. The AUROC of CAP were 0·924, 0·794 and 0·778 for steatosis grades ≥ S1, ≥ S2 and = S3, respectively, and the AUROC of LSM for detecting fibrosis stages ≥ F1, ≥ F2, ≥ F3, and = F4 were 0·851, 0·830, 0·897 and 0·925, respectively. Subgroup analysis revealed that BMI ≥ 30 kg/m² had lower accuracy for diagnosing S ≥ S1, ≥ S2 than BMI<30 kg/m². For the mean cut-off values, significant differences were found in CAP values among different body mass index (BMI) populations and LSM values among different regions. For diagnosing S ≥ S1, ≥ S2 and = S3, the mean CAP cut-off values for BMI ≥ 30 kg/m² were 30·7, 28·2, and 27·9 dB/m higher than for BMI < 30 kg/m² (P = 0·001, 0·001 and 0·018, respectively). For diagnosing F ≥ F2 and = F4, the mean cut-off values of Europe and America were 0·96 and 2·03 kPa higher than Asia (P = 0·027, P = 0·034), respectively. In addition, the results did not change significantly after sensitivity analysis and the trim and fill method to correct for publication bias, proving that the conclusions are robust. INTERPRETATION The good performance of CAP and LSM for the diagnosis of mild steatosis (S ≥ S1), advanced liver fibrosis (F ≥ F3), and cirrhosis (F = F4) can be used to screen for NAFLD in high-risk populations. Of note, the accuracy of CAP for the detection of steatosis in patients with obesity is reduced and requires specific diagnostic values. For LSM, the same diagnostic values can be used when the appropriate probes are selected based on BMI and the automated probe selection tool. The performance of CAP and LSM in assessing steatosis in patients with obesity, moderate to severe steatosis, and low-grade fibrosis should be further validated and improved in the future. FUNDING The study was funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD).
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Affiliation(s)
- Yu-tian Cao
- The first clinical medical college of Nanjing University of Chinese Medicine, Nanjing, China
- Department of Endocrinology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China
| | - Liu-lan Xiang
- The first clinical medical college of Nanjing University of Chinese Medicine, Nanjing, China
- Department of Endocrinology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China
| | - Fang Qi
- The first clinical medical college of Nanjing University of Chinese Medicine, Nanjing, China
- Department of Endocrinology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China
| | - Yu-juan Zhang
- The first clinical medical college of Nanjing University of Chinese Medicine, Nanjing, China
- Department of Endocrinology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China
| | - Yi Chen
- Department of Gastroenterology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xi-qiao Zhou
- Department of Endocrinology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China
- Corresponding author at: Department of Endocrinology, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing 210029, China.
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Tomaszewski M, Dahiya M, Mohajerani SA, Punja H, Ko HH, Sun M, Ramji A. Hepatic steatosis as measured by the computed attenuation parameter predicts fibrosis in long-term methotrexate use. CANADIAN LIVER JOURNAL 2021; 4:370-380. [PMID: 35989896 PMCID: PMC9235122 DOI: 10.3138/canlivj-2020-0040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Accepted: 05/15/2021] [Indexed: 08/10/2023]
Abstract
INTRODUCTION To determine predictors of hepatic steatosis by the computed attenuation parameter (CAP) and fibrosis via transient elastography (TE) in persons on methotrexate (MTX) therapy with rheumatologic and dermatologic diseases. METHODS A single-centred retrospective cohort study was performed. Patients on >6 months of MTX for a rheumatologic or dermatologic disease who had undergone TE from January 2015 to September 2019 were included. Multivariate analysis was performed to determine predictors of steatosis and fibrosis. RESULTS A total of 172 patients on methotrexate were included. Psoriasis was the most frequent diagnosis (n = 55), followed by rheumatoid arthritis (n = 45) and psoriatic arthritis (n = 34). Steatosis (CAP ≥245 dB/m) was present in 69.8% of patients. Multivariate regression analysis revealed that diabetes mellitus (OR 10.47, 95% CI 1.42-75.35), hypertension (OR 5.15, 95% CI 1.75-15.38), and BMI ≥30 kg/m2 (OR 16.47, 95% CI 5.56-45.56) were predictors of steatosis (CAP ≥245 dB/m). Predictors of moderate to severe fibrosis (Metavir ≥F2 = TE ≥8.0 kPa) by multivariate regression analysis included moderate to severe steatosis (CAP ≥270 dB/m) (OR 8.36, 95% CI 1.88-37.14), diabetes mellitus (OR 2.85, 95% CI 1.09-7.48), hypertension (OR 5.4, 95% CI 2.23-13.00), dyslipidemia (OR 3.71, 95% CI 1.50-9.18), and moderate alcohol use (OR 3.06, 95% CI 1.2-7.49). CONCLUSIONS In patients on MTX for rheumatologic and dermatologic diseases, hepatic steatosis as measured by CAP was common and moderate to severe steatosis predicted moderate to severe fibrosis.
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Affiliation(s)
- Marcel Tomaszewski
- Division of Gastroenterology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Monica Dahiya
- Faculty of Medicine, University of Alberta., Edmonton, Alberta, Canada
| | - Seyed Amir Mohajerani
- Saint Paul’s Hospital, Gastrointestinal Research Institute, Vancouver, British Columbia, Canada
| | - Hanaa Punja
- Department of Biology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Hin Hin Ko
- Clinical Associate Professor of Medicine, Division of Gastroenterology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Muxin Sun
- Division of Rheumatology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Alnoor Ramji
- Division of Gastroenterology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
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12
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Selvaraj EA, Mózes FE, Jayaswal ANA, Zafarmand MH, Vali Y, Lee JA, Levick CK, Young LAJ, Palaniyappan N, Liu CH, Aithal GP, Romero-Gómez M, Brosnan MJ, Tuthill TA, Anstee QM, Neubauer S, Harrison SA, Bossuyt PM, Pavlides M. Diagnostic accuracy of elastography and magnetic resonance imaging in patients with NAFLD: A systematic review and meta-analysis. J Hepatol 2021; 75:770-785. [PMID: 33991635 DOI: 10.1016/j.jhep.2021.04.044] [Citation(s) in RCA: 196] [Impact Index Per Article: 49.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 03/15/2021] [Accepted: 04/25/2021] [Indexed: 02/08/2023]
Abstract
BACKGROUND AND AIMS Vibration-controlled transient elastography (VCTE), point shear wave elastography (pSWE), 2-dimensional shear wave elastography (2DSWE), magnetic resonance elastography (MRE), and magnetic resonance imaging (MRI) have been proposed as non-invasive tests for patients with non-alcoholic fatty liver disease (NAFLD). This study evaluated their diagnostic accuracy for liver fibrosis and non-alcoholic steatohepatitis (NASH). METHODS PubMED/MEDLINE, EMBASE and the Cochrane Library were searched for studies examining the diagnostic accuracy of these index tests, against histology as the reference standard, in adult patients with NAFLD. Two authors independently screened and assessed methodological quality of studies and extracted data. Summary estimates of sensitivity, specificity and area under the curve (sAUC) were calculated for fibrosis stages and NASH, using a random effects bivariate logit-normal model. RESULTS We included 82 studies (14,609 patients). Meta-analysis for diagnosing fibrosis stages was possible in 53 VCTE, 11 MRE, 12 pSWE and 4 2DSWE studies, and for diagnosing NASH in 4 MRE studies. sAUC for diagnosis of significant fibrosis were: 0.83 for VCTE, 0.91 for MRE, 0.86 for pSWE and 0.75 for 2DSWE. sAUC for diagnosis of advanced fibrosis were: 0.85 for VCTE, 0.92 for MRE, 0.89 for pSWE and 0.72 for 2DSWE. sAUC for diagnosis of cirrhosis were: 0.89 for VCTE, 0.90 for MRE, 0.90 for pSWE and 0.88 for 2DSWE. MRE had sAUC of 0.83 for diagnosis of NASH. Three (4%) studies reported intention-to-diagnose analyses and 15 (18%) studies reported diagnostic accuracy against pre-specified cut-offs. CONCLUSIONS When elastography index tests are acquired successfully, they have acceptable diagnostic accuracy for advanced fibrosis and cirrhosis. The potential clinical impact of these index tests cannot be assessed fully as intention-to-diagnose analyses and validation of pre-specified thresholds are lacking. LAY SUMMARY Non-invasive tests that measure liver stiffness or use magnetic resonance imaging (MRI) have been suggested as alternatives to liver biopsy for assessing the severity of liver scarring (fibrosis) and fatty inflammation (steatohepatitis) in patients with non-alcoholic fatty liver disease (NAFLD). In this study, we summarise the results of previously published studies on how accurately these non-invasive tests can diagnose liver fibrosis and inflammation, using liver biopsy as the reference. We found that some techniques that measure liver stiffness had a good performance for the diagnosis of severe liver scarring.
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Affiliation(s)
- Emmanuel Anandraj Selvaraj
- Oxford Centre for Clinical Magnetic Resonance Research, Radcliffe Department of Medicine, University of Oxford, Oxford, UK; Translational Gastroenterology Unit, Nuffield Department of Medicine, University of Oxford, Oxford, UK; NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust and the University of Oxford, Oxford, UK
| | - Ferenc Emil Mózes
- Oxford Centre for Clinical Magnetic Resonance Research, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Arjun Narayan Ajmer Jayaswal
- Oxford Centre for Clinical Magnetic Resonance Research, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Mohammad Hadi Zafarmand
- Department of Epidemiology and Data Science, Amsterdam UMC, University of Amsterdam, The Netherlands
| | - Yasaman Vali
- Department of Epidemiology and Data Science, Amsterdam UMC, University of Amsterdam, The Netherlands
| | - Jenny A Lee
- Department of Epidemiology and Data Science, Amsterdam UMC, University of Amsterdam, The Netherlands
| | - Christina Kim Levick
- Oxford Centre for Clinical Magnetic Resonance Research, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Liam Arnold Joseph Young
- Oxford Centre for Clinical Magnetic Resonance Research, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Naaventhan Palaniyappan
- NIHR Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and the University of Nottingham, Nottingham, UK
| | - Chang-Hai Liu
- UCM Digestive Diseases. Virgen del Rocio University Hospital. Institute of Biomedicine of Seville, University of Seville, Sevilla, Spain; Center for Infectious Diseases, West China Hospital of Sichuan University; Division of Infectious Diseases, State Key Laboratory of Biotherapy and Center of Infectious Disease, West China Hospital, Sichuan University, Chengdu, China
| | - Guruprasad Padur Aithal
- NIHR Nottingham Biomedical Research Centre, Nottingham University Hospitals NHS Trust and the University of Nottingham, Nottingham, UK
| | - Manuel Romero-Gómez
- UCM Digestive Diseases. Virgen del Rocio University Hospital. Institute of Biomedicine of Seville, University of Seville, Sevilla, Spain
| | - M Julia Brosnan
- Internal Medicine Research Unit, Pfizer Inc, Cambridge, MA, USA
| | | | - Quentin M Anstee
- Liver Research Group, Translational & Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK; NIHR Newcastle Biomedical Research Centre, Newcastle upon Tyne Hospitals, NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Stefan Neubauer
- Oxford Centre for Clinical Magnetic Resonance Research, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Stephen A Harrison
- Oxford Centre for Clinical Magnetic Resonance Research, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Patrick M Bossuyt
- Department of Epidemiology and Data Science, Amsterdam UMC, University of Amsterdam, The Netherlands
| | - Michael Pavlides
- Oxford Centre for Clinical Magnetic Resonance Research, Radcliffe Department of Medicine, University of Oxford, Oxford, UK; Translational Gastroenterology Unit, Nuffield Department of Medicine, University of Oxford, Oxford, UK; NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust and the University of Oxford, Oxford, UK.
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13
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Ye W, Leung DH, Molleston JP, Ling SC, Murray KF, Nicholas JL, Huang S, Karmazyn BW, Harned RK, Masand P, Alazraki AL, Navarro OM, Otto RK, Palermo JJ, Towbin AJ, Alonso EM, Karnsakul WW, Jane Schwarzenberg S, Seidel GF, Siegel M, Magee JC, Narkewicz MR, Jay Freeman A. Association Between Transient Elastography and Controlled Attenuated Parameter and Liver Ultrasound in Children With Cystic Fibrosis. Hepatol Commun 2021; 5:1362-1372. [PMID: 34430781 PMCID: PMC8369935 DOI: 10.1002/hep4.1719] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 02/14/2021] [Accepted: 03/01/2021] [Indexed: 02/04/2023] Open
Abstract
Methods to identify children with cystic fibrosis (CF) at risk for development of advanced liver disease are lacking. We aim to determine the association between liver stiffness measurement (LSM) by vibration-controlled transient elastography (VCTE) with research ultrasound (US) patterns and conventional hepatic markers as a potential means to follow liver disease progression in children with CF. ELASTIC (Longitudinal Assessment of Transient Elastography in CF) is a nested cohort of 141 patients, ages 7-21, enrolled in the Prediction by US of Risk of Hepatic Cirrhosis in CF (PUSH) Study. We studied the association between LSM with research-grade US patterns (normal [NL], heterogeneous [HTG], homogeneous [HMG], or nodular [NOD]) and conventional hepatic markers. In a subgroup (n = 79), the association between controlled attenuation parameter (CAP) and US pattern was explored. Among 133 subjects undergoing VCTE, NOD participants (n = 26) had a significantly higher median (interquartile range) LSM of 9.1 kPa (6.3, 15.8) versus NL (n = 72, 5.1 kPa [4.2, 7.0]; P < 0.0001), HMG (n = 17, 5.9 kPa [5.2, 7.8]; P = 0.0013), and HTG (n = 18, 6.1 kPa [4.7, 7.0]; P = 0.0008) participants. HMG participants (n = 14) had a significantly higher mean CAP (SD) (270.5 dB/m [61.1]) compared with NL (n = 40, 218.8 dB/m [46.5]; P = 0.0027), HTG (n = 10, 218.1 dB/m [60.7]; P = 0.044), and NOD (n = 15, 222.7 dB/m [56.4]; P = 0.041) participants. LSM had a negative correlation with platelet count (rs = - 0.28, P = 0.0071) and positive correlation with aspartate aminotransferase-to-platelet ratio index (rs = 0.38, P = 0.0002), Fibrosis-4 index (rs = 0.36, P = 0.0007), gamma-glutamyltransferase (GGT; rs = 0.35, P = 0.0017), GGT-to-platelet ratio (rs = 0.35, P = 0.003), and US spleen size z-score (rs = 0.27, P = 0.0073). Conclusion: VCTE is associated with US patterns and conventional markers in patients with liver disease with CF.
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Affiliation(s)
- Wen Ye
- Department of BiostatisticsUniversity of Michigan School of Public HealthAnn ArborMIUSA
| | - Daniel H Leung
- Division of Gastroenterology, Hepatology and NutritionDepartment of PediatricsTexas Children's HospitalBaylor College of MedicineHoustonTXUSA
| | - Jean P Molleston
- Pediatric Gastroenterology, Hepatology and NutritionRiley Hospital for Children at IU HealthIndiana University School of MedicineIndianapolisINUSA
| | - Simon C Ling
- The Hospital for Sick ChildrenDepartment of PediatricsUniversity of TorontoTorontoONCanada
| | - Karen F Murray
- Division of Gastroenterology and HepatologyUniversity of Washington and Seattle Children's HospitalSeattleWAUSA
| | - Jennifer L Nicholas
- Mallinckrodt Institute of RadiologyWashington University School of MedicineSt. LouisMOUSA
| | - Suiyuan Huang
- Department of BiostatisticsUniversity of Michigan School of Public HealthAnn ArborMIUSA
| | - Boaz W Karmazyn
- Pediatric RadiologyRiley Hospital for Children at IU HealthIndiana University School of MedicineIndianapolisINUSA
| | - Roger K Harned
- Division of Pediatric RadiologyChildren's Hospital Colorado and University of Colorado School of MedicineAuroraCOUSA
| | - Prakash Masand
- Division of RadiologyTexas Children's HospitalHoustonTXUSA
| | - Adina L Alazraki
- Department of RadiologyEmory University School of Medicine and Children's Healthcare of AtlantaAtlantaGAUSA
| | - Oscar M Navarro
- Department of Medical ImagingUniversity of TorontoTorontoONCanada.,Department of Diagnostic ImagingThe Hospital for Sick ChildrenTorontoONCanada
| | - Randolph K Otto
- Department of RadiologyUniversity of Washington and Seattle Children's HospitalSeattleWAUSA
| | - Joseph J Palermo
- Division of Pediatric Gastroenterology, Hepatology and NutritionCincinnati Children's Hospital Medical CenterCincinnatiOHUSA.,Department of PediatricsUniversity of Cincinnati College of MedicineCincinnatiOHUSA
| | - Alexander J Towbin
- Department of RadiologyCincinnati Children's Hospital Medical CenterCincinnatiOHUSA.,Department of RadiologyUniversity of Cincinnati College of MedicineCincinnatiOHUSA
| | - Estella M Alonso
- Division of Pediatric Gastroenterology, Hepatology and NutritionAnn & Robert H. Lurie Children's HospitalChicagoILUSA
| | - Wikrom W Karnsakul
- Division of Pediatric Gastroenterology, Hepatology and NutritionJohn Hopkins School of MedicineBaltimoreMDUSA
| | | | - Glenn F Seidel
- Pediatric RadiologyLucile Packard Children's HospitalPalo AltoCAUSA
| | - Marilyn Siegel
- Mallinckrodt Institute of RadiologyWashington University School of MedicineSt. LouisMOUSA
| | - John C Magee
- Department of SurgeryUniversity of Michigan Medical SchoolAnn ArborMIUSA
| | - Michael R Narkewicz
- Digestive Health InstituteChildren's Hospital Colorado and Section of Pediatric Gastroenterology, Hepatology and NutritionDepartment of PediatricsUniversity of Colorado School of MedicineAuroraCOUSA
| | - A Jay Freeman
- Division of Pediatric Gastroenterology, Hepatology and NutritionEmory University School of Medicine/Children's Healthcare of AtlantaAtlantaGAUSA
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14
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Beyer C, Hutton C, Andersson A, Imajo K, Nakajima A, Kiker D, Banerjee R, Dennis A. Comparison between magnetic resonance and ultrasound-derived indicators of hepatic steatosis in a pooled NAFLD cohort. PLoS One 2021; 16:e0249491. [PMID: 33793651 PMCID: PMC8016312 DOI: 10.1371/journal.pone.0249491] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Accepted: 03/17/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND & AIMS MRI-based proton density fat fraction (PDFF) and the ultrasound-derived controlled attenuation parameter (CAP) are non-invasive techniques for quantifying liver fat, which can be used to assess steatosis in patients with non-alcoholic fatty liver disease (NAFLD). This study compared both of these techniques to histopathological graded steatosis for the assessment of fat levels in a large pooled NAFLD cohort. METHODS This retrospective study pooled N = 581 participants from two suspected NAFLD cohorts (mean age (SD) 56 (12.7), 60% females). Steatosis was graded according to NASH-CRN criteria. Liver fat was measured non-invasively using PDFF (with Liver MultiScan's Iterative Decomposition of water and fat with Echo Asymmetry and Least-squares estimation method, LMS-IDEAL, Perspectum, Oxford) and CAP (FibroScan, Echosens, France), and their diagnostic performances were compared. RESULTS LMS-IDEAL and CAP detected steatosis grade ≥ 1 with AUROCs of 1.00 (95% CI, 0.99-1.0) and 0.95 (95% CI, 0.91-0.99), respectively. LMS-IDEAL was superior to CAP for detecting steatosis grade ≥ 2 with AUROCs of 0.77 (95% CI, 0.73-0.82] and 0.60 (95% CI, 0.55-0.65), respectively. Similarly, LMS-IDEAL outperformed CAP for detecting steatosis grade ≥ 3 with AUROCs of 0.81 (95% CI, 0.76-0.87) and 0.63 (95% CI, 0.56-0.70), respectively. CONCLUSION LMS-IDEAL was able to diagnose individuals accurately across the spectrum of histological steatosis grades. CAP performed well in identifying individuals with lower levels of fat (steatosis grade ≥1); however, its diagnostic performance was inferior to LMS-IDEAL for higher levels of fat (steatosis grades ≥2 and ≥3). TRIAL REGISTRATION ClinicalTrials.gov (NCT03551522); https://clinicaltrials.gov/ct2/show/NCT03551522. UMIN Clinical Trials Registry (UMIN000026145); https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000026145.
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Affiliation(s)
| | | | | | - Kento Imajo
- Department of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Atsushi Nakajima
- Department of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Yokohama, Japan
| | - Dustin Kiker
- Texas Digestive Disease Consultants, Dallas, Texas, United States of America
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15
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Gu Q, Cen L, Lai J, Zhang Z, Pan J, Zhao F, Yu C, Li Y, Chen C, Chen W, Shen Z. A meta-analysis on the diagnostic performance of magnetic resonance imaging and transient elastography in nonalcoholic fatty liver disease. Eur J Clin Invest 2021; 51:e13446. [PMID: 33128454 DOI: 10.1111/eci.13446] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 10/15/2020] [Accepted: 10/27/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND Noninvasive methods have been used for the assessment of hepatic steatosis in patients with nonalcoholic fatty liver disease (NAFLD). The aim was to assess the efficacy and accuracy of both magnetic resonance imaging(MRI) and transient elastography(TE) for the evaluation of hepatic steatosis. MATERIALS AND METHODS The PubMed, Cochrane Library, Embase, MEDLINE and Web of Science databases were searched to retrieve studies examining the accuracy of MRI-proton density fat fraction(PDFF) and TE-controlled attenuation parameter(CAP) for evaluating the grading of steatosis(S0-S3) diagnosed by liver biopsy in NAFLD. We compared the sensitivity, specificity, hierarchical summary receiver operating characteristic curves(HSROC) and clinical utility of these methods. RESULTS Twenty-four articles with a total of 2979 patients with NAFLD were included. The steatosis distribution was 8.1%/35.1%/32.2%/24.6% for S0/S1/S2/S3. For the diagnostic accuracy of MRI-PDFF, the HSROCs were 0.97 for ≥S1, 0.91 for ≥S2 and 0.90 for ≥S3. For the diagnostic accuracy of TE-based CAP, the HSROCs were 0.85 for ≥S1, 0.83 for ≥S2 and 0.79 for ≥S3. Following a 'positive' measurement (over the threshold value) for ≥S1, the corresponding post-test probabilities of PDFF and CAP for the presence of steatosis were 82% and 61%, respectively, when the pretest probability was 24%. If the values were below these thresholds ('negative' results), the post-test probabilities were 3% and 7%. CONCLUSION MRI-PDFF and TE-CAP both provide highly accurate noninvasive approaches for quantifying and staging hepatic steatosis in NAFLD. Compared with TE-CAP, MRI-PDFF is significantly more accurate for evaluating dichotomized grades of steatosis.
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Affiliation(s)
- Qing Gu
- Center of Endoscopy, The First Affiliated Hospital, Zhejiang University School of Medicine, #79 Qingchun Road, Hangzhou, Zhejiang Province, 310003, China
| | - Li Cen
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, #79 Qingchun Road, Hangzhou, Zhejiang Province, 310003, China
| | - Jiawei Lai
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, #79 Qingchun Road, Hangzhou, Zhejiang Province, 310003, China
- Department of Emergency, The First People's Hospital of Xiaoshan District, Hangzhou, China
| | - Zhongchen Zhang
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, #79 Qingchun Road, Hangzhou, Zhejiang Province, 310003, China
| | - Jiaqi Pan
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, #79 Qingchun Road, Hangzhou, Zhejiang Province, 310003, China
| | - Feng Zhao
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, #79 Qingchun Road, Hangzhou, Zhejiang Province, 310003, China
| | - Chaohui Yu
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, #79 Qingchun Road, Hangzhou, Zhejiang Province, 310003, China
| | - Youming Li
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, #79 Qingchun Road, Hangzhou, Zhejiang Province, 310003, China
| | - Chunxiao Chen
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, #79 Qingchun Road, Hangzhou, Zhejiang Province, 310003, China
| | - Weixing Chen
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, #79 Qingchun Road, Hangzhou, Zhejiang Province, 310003, China
| | - Zhe Shen
- Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, #79 Qingchun Road, Hangzhou, Zhejiang Province, 310003, China
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Goyal O, Nohria S, Goyal P, Kaur J, Sharma S, Sood A, Chhina RS. Saroglitazar in patients with non-alcoholic fatty liver disease and diabetic dyslipidemia: a prospective, observational, real world study. Sci Rep 2020; 10:21117. [PMID: 33273703 PMCID: PMC7713236 DOI: 10.1038/s41598-020-78342-x] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Accepted: 11/23/2020] [Indexed: 12/16/2022] Open
Abstract
Saroglitazar, a dual peroxisome proliferator activated receptor α/γ agonist, approved for diabetic dyslipidemia (DD), is potential therapeutic option for non-alcoholic fatty liver disease (NAFLD). This prospective, observational, real-world study aimed to determine efficacy and safety of Saroglitazar in patients with NAFLD and DD. We included patients with DD and NAFLD who received Saroglitazar 4 mg once daily for 24 weeks. Blood investigations, liver stiffness measurement (LSM) and controlled attenuation parameter (CAP) (FibroScan) were compared at baseline and 24 weeks. Of 163 patients screened, 107 were included, and 101 completed 24 weeks treatment (mean age 50.4 ± 12.3 years, 78.5% males, mean body mass index 28.8 ± 4.2). After 24 weeks, alanine transaminase (ALT) reduced significantly from 94 (47-122) to 39 (31-49) (p < 0.0001) and aspartate aminotransferase (AST) (U/L) from 89 (43-114) to 37 (30-47) (p < 0.0001) and LSM (kPa) from 8.4 (7.1-9.3) to 7.5 (6.4-8.4) (p = 0.0261). CAP, glycated hemoglobin and lipid parameters also improved significantly. On linear regression, there was significant association between percent change in ALT and AST with TG reduction after treatment (p = 0.024 and 0.037 respectively).We conclude that Saroglitazar leads to significant improvement in transaminases, LSM, and CAP in NAFLD patients with DD.
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Affiliation(s)
- Omesh Goyal
- Department of Gastroenterology, Dayanand Medical College and Hospital, Ludhiana, Punjab, India.
| | - Sahil Nohria
- Department of Gastroenterology, Dayanand Medical College and Hospital, Ludhiana, Punjab, India
| | - Prerna Goyal
- Department of Medicine, Dayanand Medical College and Hospital, Ludhiana, Punjab, India
| | - Jaskirat Kaur
- Dayanand Medical College and Hospital, Ludhiana, Punjab, India
| | - Sarit Sharma
- Dayanand Medical College and Hospital, Ludhiana, Punjab, India
| | - Ajit Sood
- Dayanand Medical College and Hospital, Ludhiana, Punjab, India
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An Improved qFibrosis Algorithm for Precise Screening and Enrollment into Non-Alcoholic Steatohepatitis (NASH) Clinical Trials. Diagnostics (Basel) 2020; 10:diagnostics10090643. [PMID: 32872090 PMCID: PMC7554942 DOI: 10.3390/diagnostics10090643] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 08/22/2020] [Accepted: 08/24/2020] [Indexed: 02/07/2023] Open
Abstract
Background: Many clinical trials with potential drug treatment options for non-alcoholic fatty liver disease (NAFLD) are focused on patients with non-alcoholic steatohepatitis (NASH) stages 2 and 3 fibrosis. As the histological features differentiating stage 1 (F1) from stage 2 (F2) NASH fibrosis are subtle, some patients may be wrongly staged by the in-house pathologist and miss the opportunity for enrollment into clinical trials. We hypothesized that our refined artificial intelligence (AI)-based algorithm (qFibrosis) can identify these subtle differences and serve as an assistive tool for in-house pathologists. Methods: Liver tissue from 160 adult patients with biopsy-proven NASH from Singapore General Hospital (SGH) and Peking University People’s Hospital (PKUH) were used. A consensus read by two expert hepatopathologists was organized. The refined qFibrosis algorithm incorporated the creation of a periportal region that allowed for the increased detection of periportal fibrosis. Consequently, an additional 28 periportal parameters were added, and 28 pre-existing perisinusoidal parameters had altered definitions. Results: Twenty-eight parameters (20 periportal and 8 perisinusoidal) were significantly different between the F1 and F2 cases that prompted a change of stage after a careful consensus read. The discriminatory ability of these parameters was further demonstrated in a comparison between the true F1 and true F2 cases as 26 out of the 28 parameters showed significant differences. These 26 parameters constitute a novel sub-algorithm that could accurately stratify F1 and F2 cases. Conclusion: The refined qFibrosis algorithm incorporated 26 novel parameters that showed a good discriminatory ability for NASH fibrosis stage 1 and 2 cases, representing an invaluable assistive tool for in-house pathologists when screening patients for NASH clinical trials.
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Grąt K, Grąt M, Rowiński O. Usefulness of Different Imaging Modalities in Evaluation of Patients with Non-Alcoholic Fatty Liver Disease. Biomedicines 2020; 8:298. [PMID: 32839409 PMCID: PMC7556032 DOI: 10.3390/biomedicines8090298] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 08/13/2020] [Accepted: 08/19/2020] [Indexed: 12/14/2022] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH) are becoming some of the major health problems in well-developed countries, together with the increasing prevalence of obesity, metabolic syndrome, and all of their systemic complications. As the future prognoses are even more disturbing and point toward further increase in population affected with NAFLD/NASH, there is an urgent need for widely available and reliable diagnostic methods. Consensus on a non-invasive, accurate diagnostic modality for the use in ongoing clinical trials is also required, particularly considering a current lack of any registered drug for the treatment of NAFLD/NASH. The aim of this narrative review was to present current information on methods used to assess liver steatosis and fibrosis. There are several imaging modalities for the assessment of hepatic steatosis ranging from simple density analysis by computed tomography or conventional B-mode ultrasound to magnetic resonance spectroscopy (MRS), magnetic resonance imaging proton density fat fraction (MRI-PDFF) or controlled attenuation parameter (CAP). Fibrosis stage can be assessed by magnetic resonance elastography (MRE) or different ultrasound-based techniques: transient elastography (TE), shear-wave elastography (SWE) and acoustic radiation force impulse (ARFI). Although all of these methods have been validated against liver biopsy as the reference standard and provided good accuracy, the MRS and MRI-PDFF currently outperform other methods in terms of diagnosis of steatosis, and MRE in terms of evaluation of fibrosis.
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Affiliation(s)
- Karolina Grąt
- Second Department of Clinical Radiology, Medical University of Warsaw, 02-097 Warsaw, Poland;
| | - Michał Grąt
- Department of General, Transplant and Liver Surgery, Medical University of Warsaw, 02-097 Warsaw, Poland;
| | - Olgierd Rowiński
- Second Department of Clinical Radiology, Medical University of Warsaw, 02-097 Warsaw, Poland;
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Clustering Heatmap for Visualizing and Exploring Complex and High-dimensional Data Related to Chronic Kidney Disease. J Clin Med 2020; 9:jcm9020403. [PMID: 32024311 PMCID: PMC7073732 DOI: 10.3390/jcm9020403] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Revised: 01/30/2020] [Accepted: 01/31/2020] [Indexed: 12/17/2022] Open
Abstract
Background: Preventive medicine and primary health care are essential for patients with chronic kidney disease (CKD) because the symptoms of CKD may not appear until the renal function is severely compromised. Early identification of the risk factors of CKD is critical for preventing kidney damage and adverse outcomes. Early recognition of rapid progression to advanced CKD in certain high-risk populations is vital. Methods: This is a retrospective cohort study, the population screened and the site where the study has been performed. Multivariate statistical analysis was used to assess the prediction of CKD as many potential risk factors are involved. The clustering heatmap and random forest provides an interactive visualization for the classification of patients with different CKD stages. Results: uric acid, blood urea nitrogen, waist circumference, serum glutamic oxaloacetic transaminase, and hemoglobin A1c (HbA1c) were significantly associated with CKD. CKD was highly associated with obesity, hyperglycemia, and liver function. Hypertension and HbA1c were in the same cluster with a similar pattern, whereas high-density lipoprotein cholesterol had an opposite pattern, which was also verified using heatmap. Early staged CKD patients who are grouped into the same cluster as advanced staged CKD patients could be at high risk for rapid decline of kidney function and should be closely monitored. Conclusions: The clustering heatmap provided a new predictive model of health care management for patients at high risk of rapid CKD progression. This model could help physicians make an accurate diagnosis of this progressive and complex disease.
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