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Manea M, Mărunțelu I, Constantinescu I. A New Assessment of Two Transferase-Based Liver Enzymes in Low- and High-Fibrosis Patients Chronically Infected with Hepatitis B Virus: A Meta-Analysis and Pilot Study. J Clin Med 2024; 13:3903. [PMID: 38999469 PMCID: PMC11242663 DOI: 10.3390/jcm13133903] [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: 06/03/2024] [Revised: 06/23/2024] [Accepted: 07/01/2024] [Indexed: 07/14/2024] Open
Abstract
Background: The detection of fibrosis remains a necessity for the evaluation of hepatitis B virus (HBV)-infected patients, but the most accurate technique is invasive. Current studies aim to develop a novel noninvasive biomarker for fibrosis assessment, but no-one has found the ideal candidate. This study is a meta-analysis combined with a pilot study to investigate the connection between two transferase compounds and the levels of fibrosis. Methods: We studied data from PUBMED, Web of Science, and Scopus, retrieving 28,896 articles. Following PRISMA guidelines, we finally analyzed full-text articles written in English. The excluded items were duplicates, non-article entries, and irrelevant papers. We assessed the variations in alanine aminotransferase (ALT) and gamma-glutamyl transferase (GGT) levels between patients with high and low levels of fibrosis. Joanna Briggs Institute tools were used to assess article quality. We used R 4.2.2 for statistics. The pilot study included 14 randomly chosen patients with different fibrosis levels. Results: We found significant differences in ALT and GGT levels between patients with high and low fibrosis. The GGT/ALT ratio correlated with the levels of fibrosis and the fibrosis-4 (FIB-4) score. Conclusions: This meta-analysis assessed ALT and GGT levels in chronic HBV patients with fibrosis. The pilot study identified the first association between fibrosis and the GGT/ALT ratio in a Romanian cohort of chronic patients. This brings new ideas for future research.
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Affiliation(s)
- Marina Manea
- Immunology and Transplant Immunology, University of Medicine and Pharmacy "Carol Davila", 020021 Bucharest, Romania
| | - Ion Mărunțelu
- Immunology and Transplant Immunology, University of Medicine and Pharmacy "Carol Davila", 020021 Bucharest, Romania
- Centre of Immunogenetics and Virology, Fundeni Clinical Institute, 022328 Bucharest, Romania
| | - Ileana Constantinescu
- Immunology and Transplant Immunology, University of Medicine and Pharmacy "Carol Davila", 020021 Bucharest, Romania
- Centre of Immunogenetics and Virology, Fundeni Clinical Institute, 022328 Bucharest, Romania
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2
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Maroto-García J, Moreno Álvarez A, Sanz de Pedro MP, Buño-Soto A, González Á. Serum biomarkers for liver fibrosis assessment. ADVANCES IN LABORATORY MEDICINE 2024; 5:115-130. [PMID: 38939201 PMCID: PMC11206202 DOI: 10.1515/almed-2023-0081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 10/12/2023] [Indexed: 06/29/2024]
Abstract
Liver fibrosis is the result of chronic liver injury of different etiologies produced by an imbalance between the synthesis and degeneration of the extracellular matrix and dysregulation of physiological mechanisms. Liver has a high regenerative capacity in the early stage of chronic diseases so a prompt liver fibrosis detection is important. Consequently, an easy and economic tool that could identify patients with liver fibrosis at the initial stages is needed. To achieve this, many non-invasive serum direct, such as hyaluronic acid or metalloproteases, and indirect biomarkers have been proposed to evaluate liver fibrosis. Also, there have been developed formulas that combine these biomarkers, some of them also introduce clinical and/or demographic parameters, like FIB-4, non-alcoholic fatty liver disease fibrosis score (NFS), enhance liver fibrosis (ELF) or Hepamet fibrosis score (HFS). In this manuscript we critically reviewed different serum biomarkers and formulas for their utility in the diagnosis and progression of liver fibrosis.
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Affiliation(s)
| | - Ana Moreno Álvarez
- Biochemistry Department, Clínica Universidad de Navarra, Pamplona, Spain
| | | | - Antonio Buño-Soto
- Laboratory Medicine Department, Hospital Universitario La Paz, Madrid, Spain
- Hospital La Paz Institute for Health Research (IdiPaz), Madrid, Spain
| | - Álvaro González
- Biochemistry Department, Clínica Universidad de Navarra, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
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3
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Maroto-García J, Moreno-Álvarez A, Sanz de Pedro MP, Buño-Soto A, González Á. Biomarcadores séricos para la evaluación de la fibrosis hepática. ADVANCES IN LABORATORY MEDICINE 2024; 5:131-147. [PMID: 38939202 PMCID: PMC11206201 DOI: 10.1515/almed-2023-0172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 10/12/2023] [Indexed: 06/29/2024]
Abstract
La fibrosis hepática se desarrolla como respuesta a la presencia de daño hepático crónico de diferentes etiologías, provocando un desequilibrio entre la síntesis y degeneración de la matriz extracelular y la desregulación de diversos mecanismos fisiológicos. En los estadios iniciales de las patologías crónicas, el hígado posee una elevada capacidad de regeneración, por lo que la detección temprana de la fibrosis hepática resulta esencial. En este contexto, es preciso contar con herramientas sencillas y económicas que permitan detectar la fibrosis hepática en sus fases iniciales. Para evaluar la fibrosis hepática, se han propuesto multitud de biomarcadores séricos no invasivos, tanto directos, como el ácido hialurónico o las metaloproteasas, como indirectos. Así mismo, se han desarrollado diversas fórmulas que combinan dichos biomarcadores junto con parámetros demográficos, como el índice FIB-4, el índice de fibrosis en la enfermedad de hígado graso no alcohólico (NFS, por sus siglas en inglés), la prueba ELF o el score de fibrosis Hepamet (HFS, por sus siglas en inglés). En el presente manuscrito, realizamos una revisión crítica del valor diagnóstico y pronóstico de los diferentes biomarcadores séricos y fórmulas actualmente existentes.
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Affiliation(s)
- Julia Maroto-García
- Departamento de Bioquímica, Clínica Universidad de Navarra, Pamplona, España
| | - Ana Moreno-Álvarez
- Departamento de Bioquímica, Clínica Universidad de Navarra, Pamplona, España
| | | | - Antonio Buño-Soto
- Departamento de Análisis Clínicos, Hospital Universitario La Paz, Madrid, España
- Instituto de investigación en salud del Hospital La (IdiPaz), Madrid, España
| | - Álvaro González
- Departamento de Bioquímica, Clínica Universidad de Navarra, Pamplona, España
- Instituto Navarro de investigación en salud (IdiSNA), Pamplona, España
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4
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Wang J, Sun X, Wei S, Chen X, Zhu H, Liantang Y, Bao R, Du Y. Noninvasive models for the prediction of liver fibrosis in patients with chronic hepatitis B. BMC Gastroenterol 2024; 24:183. [PMID: 38783185 PMCID: PMC11119390 DOI: 10.1186/s12876-024-03270-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 05/16/2024] [Indexed: 05/25/2024] Open
Abstract
OBJECTIVE To evaluate the diagnostic accuracy of aspartate aminotransferase(AST)/ alanine transaminase (ALT), AST to platelet ratio index (APRI), fibrosis-4 score (FIB-4) and gamma-glutamyl transpeptidase to platelet count ratio (GPR) for hepatic fibrosis in patients with chronic hepatitis B (CHB). METHODS A total of 1210 CHB patients who underwent liver biopsy were divided into two groups: patients with no significant fibrosis (control group) and patients with significant fibrosis, and routine laboratory tests were retrospectively included. Logistic regression models were used for the prediction, and the area under the receiver operating characteristic (AUROC) was used to assess the diagnostic accuracy. RESULTS A total of 631 (52.1%) and 275 (22.7%) patients had significant fibrosis (≥ S2) and advanced fibrosis (≥ S3), respectively. The GPR showed significantly higher diagnostic accuracy than that of APRI, FiB-4, and AST/ALT to predict ≥ S2(significant fibrosis) and ≥ S3 fibrosis(advanced fibrosis), with an AUROC was 0.69 (95%CI: 0.66-0.71) and 0.72 (0.69-0.75), respectively. After stratified by the status of HBeAg ( positive or negative), GPR, APRI, and FiB-4 showed improved predicting performance for significant fibrosis and advanced fibrosis in HBeAg positive patients, with the most significant improvement was shown for GPR in predicting significant fibrosis (AUROC = 0.74, 95%CI: 0.70-0.78). CONCLUSIONS Among the four noninvasive models, GPR has the best performance in the diagnosis of hepatic fibrosis in CHB patients and is more valuable in HBeAg-positive patients.
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Affiliation(s)
- Juanxia Wang
- Department of Infectious Diseases, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Lanzhou, Gansu, 730030, China.
| | - Xince Sun
- Department of Infectious Diseases, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Lanzhou, Gansu, 730030, China
- The Second Clinical Medical College of Lanzhou University, Lanzhou, 730030, China
| | - Shibo Wei
- Department of Infectious Diseases, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Lanzhou, Gansu, 730030, China
- The Second Clinical Medical College of Lanzhou University, Lanzhou, 730030, China
| | - Xinyue Chen
- Department of Infectious Diseases, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Lanzhou, Gansu, 730030, China
- The Second Clinical Medical College of Lanzhou University, Lanzhou, 730030, China
| | - Haoyu Zhu
- Department of Infectious Diseases, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Lanzhou, Gansu, 730030, China
- The Second Clinical Medical College of Lanzhou University, Lanzhou, 730030, China
| | - Youyou Liantang
- Department of Infectious Diseases, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Lanzhou, Gansu, 730030, China
- The Second Clinical Medical College of Lanzhou University, Lanzhou, 730030, China
| | - Ruikun Bao
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, No. 199 West Donggang R.D, Lanzhou, Gansu, 730000, China
| | - Yufeng Du
- Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, No. 199 West Donggang R.D, Lanzhou, Gansu, 730000, China.
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5
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Pierce TT, Samir AE. Liver Fibrosis: Point-Ultrasound Elastography Is a Safe, Widely Available, Low-Cost, Noninvasive Biomarker of Liver Fibrosis That Is Suitable for Broad Community Use. AJR Am J Roentgenol 2022; 219:382-383. [PMID: 35319907 PMCID: PMC9608361 DOI: 10.2214/ajr.22.27639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Affiliation(s)
- Theodore T Pierce
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, Boston, MA 02114
| | - Anthony E Samir
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, Boston, MA 02114
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6
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Chandramohan A. ARFI Elastography in Chronic Hepatitis B Virus Infection-The Sources of Variations. Indian J Radiol Imaging 2022; 32:285-286. [PMID: 36177291 PMCID: PMC9514895 DOI: 10.1055/s-0042-1757423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022] Open
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7
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Ozturk A, Olson MC, Samir AE, Venkatesh SK. Liver fibrosis assessment: MR and US elastography. Abdom Radiol (NY) 2022; 47:3037-3050. [PMID: 34687329 PMCID: PMC9033887 DOI: 10.1007/s00261-021-03269-4] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 08/31/2021] [Accepted: 09/01/2021] [Indexed: 01/18/2023]
Abstract
Elastography has emerged as a preferred non-invasive imaging technique for the clinical assessment of liver fibrosis. Elastography methods provide liver stiffness measurement (LSM) as a surrogate quantitative biomarker for fibrosis burden in chronic liver disease (CLD). Elastography can be performed either with ultrasound or MRI. Currently available ultrasound-based methods include strain elastography, two-dimensional shear wave elastography (2D-SWE), point shear wave elastography (pSWE), and vibration-controlled transient elastography (VCTE). MR Elastography (MRE) is widely available as two-dimensional gradient echo MRE (2D-GRE-MRE) technique. US-based methods provide estimated Young's modulus (eYM) and MRE provides magnitude of the complex shear modulus. MRE and ultrasound methods have proven to be accurate methods for detection of advanced liver fibrosis and cirrhosis. Other clinical applications of elastography include liver decompensation prediction, and differentiation of non-alcoholic steatohepatitis (NASH) from simple steatosis (SS). In this review, we briefly describe the different elastography methods, discuss current clinical applications, and provide an overview of advances in the field of liver elastography.
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Affiliation(s)
- Arinc Ozturk
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Michael C Olson
- Division of Abdominal Imaging, Radiology, Mayo Clinic Rochester, 200, First Street SW, Rochester, MN, 55905, USA
| | - Anthony E Samir
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Sudhakar K Venkatesh
- Division of Abdominal Imaging, Radiology, Mayo Clinic Rochester, 200, First Street SW, Rochester, MN, 55905, USA.
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Bui HH, Vo VH, Nguyen CD, Phan ST, Quach PT, Nguyen DB. Diagnostic Performance of Acoustic Radiation Force Impulse Imaging in Evaluating Liver Fibrosis in Patients with Chronic Hepatitis B Infection: A Cross-Sectional Study. Indian J Radiol Imaging 2022; 32:287-293. [PMID: 36177272 PMCID: PMC9514909 DOI: 10.1055/s-0042-1755251] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Background
Acoustic radiation force impulse point shear wave elastography (ARFI-pSWE), measuring shear-wave velocity (SWV), has been utilized to examine the liver stiffness caused by different etiologies. However, information on its reliability in staging liver fibrosis in chronic hepatitis B (CHB) patients is scarce.
Purpose
The aim of the study is to examine the diagnostic performance of ARFI-pSWE and determine the optimal SWV cut-off values to predict significant fibrosis (
F
≥2) and cirrhosis (F4) in CHB patients.
Material and Methods
All 114 adult CHB patients visiting the University Medical Center, Ho Chi Minh City, Vietnam between February 2019 and March 2021 underwent liver stiffness measurement using ARFI-pSWE and FibroScan. SWV results were tested against FibroScan for sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). The area under the receiver operating characteristic (AUROC) curve was used to identify the optimal SWV cut-off values.
Results
There was a strong agreement between ARFI-pSWE and FibroScan (
r
= 0.92,
p
<0.001). The optimal SWV cut-off value for detecting significant fibrosis was 1.37 m/s with an AUROC of 0.975, sensitivity of 83.3%, specificity of 100%, PPV of 100%, and NPV of 81%. The optimal cut-off value for predicting cirrhosis was 1.70 m/s with an AUROC of 0.986, sensitivity of 97%, specificity of 93%, PPV of 95%, and NPV of 96%.
Conclusion
ARFI-pSWE could be an effective technique for evaluating liver fibrosis in CHB patients. SWV cut-off values of 1.37 and 1.70 m/s could be used to diagnose significant fibrosis and cirrhosis, respectively.
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Affiliation(s)
- Hoang Huu Bui
- Department of Gastroenterology, University Medical Center, Ho Chi Minh City, Vietnam
- Department of Internal Medicine, University of Medicine and Pharmacy, Ho Chi Minh City, Vietnam
| | - Van Huy Vo
- Department of Gastroenterology, University Medical Center, Ho Chi Minh City, Vietnam
| | - Chuong Dinh Nguyen
- Department of Gastroenterology, University Medical Center, Ho Chi Minh City, Vietnam
| | - Sang The Phan
- Department of Gastroenterology, University Medical Center, Ho Chi Minh City, Vietnam
| | - Phong Tien Quach
- Department of Gastroenterology, University Medical Center, Ho Chi Minh City, Vietnam
| | - Dung Bich Nguyen
- Department of Gastroenterology, University Medical Center, Ho Chi Minh City, Vietnam
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9
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Dong B, Chen Y, Lyu G, Yang X. Aspartate Aminotransferase to Platelet Ratio Index and Fibrosis-4 Index for Detecting Liver Fibrosis in Patients With Autoimmune Hepatitis: A Meta-Analysis. Front Immunol 2022; 13:892454. [PMID: 35663945 PMCID: PMC9157437 DOI: 10.3389/fimmu.2022.892454] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 04/21/2022] [Indexed: 11/13/2022] Open
Abstract
Background Aspartate aminotransferase-to-platelet ratio index (APRI) and fibrosis-4 index (FIB-4) are the two most widely studied noninvasive markers of liver fibrosis. We aimed to assess the diagnostic accuracy of APRI and FIB-4 for liver fibrosis in patients with autoimmune hepatitis (AIH) using liver biopsy as the reference standard. Methods PubMed, EMBASE, Cochrane Library and Web of Science databases were searched for studies (published as of May 1st, 2021) that assessed the diagnostic performance of APRI and FIB-4 for liver fibrosis in AIH. The summary area under receiver operating characteristics curve (AUROC), sensitivity, specificity, diagnostic odds ratios were used to assess the diagnostic accuracy of APRI and FIB-4 for detecting liver fibrosis. Results Fourteen studies (including 1015 patients) were selected with 13 studies each evaluating the use of APRI and FIB-4 for detecting different stages of fibrosis in AIH. For prediction of significant fibrosis, advanced fibrosis, and cirrhosis, the summary AUROC value was 0.66 [95% confidence interval (CI): 0.61-0.70], 0.71 (95% CI: 0.67-0.75), and 0.75 (95% CI: 0.71-0.79) for APRI, and the summary AUROC value was 0.75 (95% CI: 0.71-0.79), 0.73 (95% CI: 0.69-0.77) and 0.79 (95% CI: 0.75-0.82) for FIB-4, respectively. The summary sensitivity and specificity for diagnosis of significant fibrosis, advanced fibrosis, and cirrhosis were 90% and 36%, 78% and 55%, and 77% and 61% for APRI, and 70% and 70%, 65% and 70%, and 78% and 65% for FIB-4, respectively. Conclusions APRI and FIB-4 showed suboptimal diagnostic performance for identifying liver fibrosis in AIH with mediocre sensitivity and specificity.
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Affiliation(s)
- Bingtian Dong
- Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Yuping Chen
- Department of Endocrinology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Guorong Lyu
- Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.,Department of Clinical Medicine, Quanzhou Medical College, Quanzhou, China
| | - Xiaocen Yang
- Department of Ultrasound, Chenggong Hospital, Xiamen University, Xiamen, China
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10
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Wang Z, Zhou Y, Yu P, Liu Y, Mei M, Bian Z, Shao W, Lv J, Li X, Lu W, Xu L. Retrospective Evaluation of Non-Invasive Assessment Based on Routine Laboratory Markers for Assessing Advanced Liver Fibrosis in Chronic Hepatitis B Patients. Int J Gen Med 2022; 15:5159-5171. [PMID: 35642202 PMCID: PMC9148603 DOI: 10.2147/ijgm.s364216] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 05/03/2022] [Indexed: 12/15/2022] Open
Abstract
Background At present, there is a lack of cheap, effective and convenient detection methods for hepatitis B-related liver fibrosis, especially in the developing area. Aim To evaluate the non-invasive methods for the significant and advanced fibrosis stage in chronic hepatitis B virus (HBV) patients in basic hospitals and to assess their diagnostic utility. Methods The study included 436 consecutive naive HBV individuals who had their livers biopsied. They were examined in one week using aspartate aminotransferase-to-aspartate aminotransferase ratio (AAR), age-platelet index (API), aspartate aminotransferase-to-platelet ratio index (APRI), fibrosis-4 (FIB-4), Forns, gamma-glutamyl transpeptidase-to-platelet ratio (GPR), S-index and transient elastography (TE). Scheuer scoring system was used to determine the histologic fibrosis grades (S0–S4). The diagnostic effectiveness was assessed using AUROCs and the DeLong test, both of which were based on statistical comparisons. Results For both substantial (≧S2) and advanced (≧S3) fibrosis phases, TE had good diagnostic performance in determining the hepatic fibrosis. Similar diagnostic performance was shown with Forns and S-index when it came to detecting fibrosis stages lower than S3. One model’s diagnostic value was not significantly improved by combining serum models. Correlation coefficients between clinical features and fibrosis phases were greatest for Forns (r = 0.397), S-index (r = 0.382) and TE (r = 0.535) when compared to other variables. Conclusion This investigation showed that Forns and S-index may be helpful strategies for detecting advanced fibrosis in HBV patients admitted to community hospitals.
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Affiliation(s)
- Zeyu Wang
- Department of Hepatobiliary Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin’s Clinical Research Center for Cancer, Tianjin, 300060, People’s Republic of China
| | - Yonghe Zhou
- Ultrasound department, Tianjin Second People’s Hospital, Tianjin, 300192, People’s Republic of China
- Tianjin Research Institute of Liver Diseases, Tianjin, 300192, People’s Republic of China
| | - Pengzhi Yu
- Ultrasound department, Tianjin Second People’s Hospital, Tianjin, 300192, People’s Republic of China
- Tianjin Research Institute of Liver Diseases, Tianjin, 300192, People’s Republic of China
| | - Yonggang Liu
- Tianjin Research Institute of Liver Diseases, Tianjin, 300192, People’s Republic of China
- Pathology Department, Tianjin Second People’s Hospital, Tianjin, 300192, People’s Republic of China
| | - Mei Mei
- Department of Gastroenterology, Tianjin Haihe Hospital, Tianjin, 300350, People’s Republic of China
| | - Zhuo Bian
- Ultrasound department, Tianjin Second People’s Hospital, Tianjin, 300192, People’s Republic of China
| | - Wei Shao
- Ultrasound department, Tianjin Second People’s Hospital, Tianjin, 300192, People’s Republic of China
| | - Jinxia Lv
- Ultrasound department, Tianjin Second People’s Hospital, Tianjin, 300192, People’s Republic of China
| | - Xin Li
- Ultrasound department, Tianjin Second People’s Hospital, Tianjin, 300192, People’s Republic of China
| | - Wei Lu
- Department of Hepatobiliary Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin’s Clinical Research Center for Cancer, Tianjin, 300060, People’s Republic of China
- Tianjin Research Institute of Liver Diseases, Tianjin, 300192, People’s Republic of China
- Department of Hepatology, Tianjin Second People’s Hospital, Tianjin, 300192, People’s Republic of China
- Correspondence: Wei Lu; Liang Xu, Email ;
| | - Liang Xu
- Tianjin Research Institute of Liver Diseases, Tianjin, 300192, People’s Republic of China
- Department of Hepatology, Tianjin Second People’s Hospital, Tianjin, 300192, People’s Republic of China
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11
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Cardoso AC, Figueiredo-Mendes C, Villela-Nogueira CA, Marcellin P. Staging Fibrosis in Chronic Viral Hepatitis. Viruses 2022; 14:v14040660. [PMID: 35458391 PMCID: PMC9025777 DOI: 10.3390/v14040660] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 03/14/2022] [Accepted: 03/15/2022] [Indexed: 02/06/2023] Open
Abstract
Staging fibrosis accurately has always been a challenge in viral hepatitis and other liver diseases. Liver biopsy is an imperfect gold standard due to its intra and interobserver agreement limitations and additional characteristics such as its safety and cost. Hence, non-invasive tests have been developed to stage liver fibrosis. In addition to serological biomarkers, physical tests with reasonable accuracy are available and adopted in the daily clinic regarding viral hepatitis fibrosis staging. In this review, we discuss the published data regarding the staging of liver fibrosis in chronic hepatitis B and C, emphasizing non-invasive markers of fibrosis, both serological and physical. Moreover, we also discuss a persistent central gap, the evaluation of liver fibrosis after HCV cure.
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Affiliation(s)
- Ana Carolina Cardoso
- Postgraduate Internal Medicine Program, Hepatology Division, Clementino Fraga Filho University Hospital, School of Medicine, Federal University of Rio de Janeiro, Rio de Janeiro 21941-617, Brazil
- Correspondence:
| | - Claudio Figueiredo-Mendes
- Hepatology Division, General Hospital, Santa Casa da Misericórdia do Rio de Janeiro, Rio de Janeiro 20020-022, Brazil;
| | - Cristiane A. Villela-Nogueira
- Internal Medicine Department, Hepatology Division, School of Medicine, Federal University of Rio de Janeiro, Rio de Janeiro 21941-617, Brazil;
| | - Patrick Marcellin
- Hepatology Department, Hôpital Beaujon, APHP, INSERM, University of Paris, 92110 Clichy, France;
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12
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Venkatesh SK, Torbenson MS. Liver fibrosis quantification. Abdom Radiol (NY) 2022; 47:1032-1052. [PMID: 35022806 DOI: 10.1007/s00261-021-03396-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 12/19/2021] [Accepted: 12/20/2021] [Indexed: 12/14/2022]
Abstract
Liver fibrosis (LF) is the wound healing response to chronic liver injury. LF is the endpoint of chronic liver disease (CLD) regardless of etiology and the single most important determinant of long-term liver-related clinical outcomes. Quantification of LF is important for staging, to evaluate response to treatment and to predict outcomes. LF is traditionally staged by liver biopsy. However, liver biopsy is invasive and suffers from sampling errors when biopsy size is inadequate; therefore, non-invasive tests (NITs) have found important roles in clinical care. NITs include simple laboratory-based serum tests, panels of serum tests, and imaging biomarkers. NITs are validated against the liver biopsy and will be used in the future for evaluation of nearly all CLDs with invasive liver biopsy reserved for some cases. Both serum tests and some imaging biomarkers such as elastography are currently used clinically as surrogate markers for LF. Several other imaging biomarkers are still considered research and awaiting clinical application in the future. As the evaluation of imaging biomarkers will likely become the norm in the future, understanding pathogenesis of LF is important. Knowledge of properties measured by imaging biomarkers and its correlation with LF is important to understand the application of NITs by abdominal radiologists. In this review, we present a brief overview of pathogenesis of LF, spatiotemporal evolution of LF in different CLD, and severity assessment with liver biopsy. This will be followed by a brief discussion on properties measured by imaging biomarkers and their relationship to the LF.
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Affiliation(s)
- Sudhakar K Venkatesh
- Abdominal Imaging Division, Department of Radiology, Mayo Clinic, 200, First Street SW, Rochester, MN, 55905, USA.
| | - Michael S Torbenson
- Anatomic Pathology Division, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
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Brazilian Society of Hepatology and Brazilian College of Radiology practice guidance for the use of elastography in liver diseases. Ann Hepatol 2021; 22:100341. [PMID: 33737252 DOI: 10.1016/j.aohep.2021.100341] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2021] [Revised: 02/21/2021] [Accepted: 03/01/2021] [Indexed: 02/07/2023]
Abstract
In 2015 the European Association for the Study of Liver Diseases (EASL) and the Asociación Latinoamericana para el Estudio del Hígado (ALEH) published a guideline for the use of non-invasive markers of liver disease. At that time, this guideline focused on the available data regarding ultrasonic-related elastography methods. Since then, much has been published, including new data about XL probe use in transient elastography, magnetic resonance elastography, and non-invasive liver steatosis evaluation. In order to draw evidence-based guidance concerning the use of elastography for non-invasive assessment of fibrosis and steatosis in different chronic liver diseases, the Brazilian Society of Hepatology (SBH) and the Brazilian College of Radiology (CBR) sponsored a single-topic meeting on October 4th, 2019, at São Paulo, Brazil. The aim was to establish specific recommendations regarding the use of imaging-related non-invasive technology to diagnose liver fibrosis and steatosis based on the discussion of evidence-based topics by an organizing committee of experts. It was submitted online to all SBH and CBR members. The present document is the final version of the manuscript that supports the use of this new technology as an alternative to liver biopsy.
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14
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Dong B, Lyu G, Chen Y, Lin G, Wang H, Qin R, Gu J. Comparison of two-dimensional shear wave elastography, magnetic resonance elastography, and three serum markers for diagnosing fibrosis in patients with chronic hepatitis B: a meta-analysis. Expert Rev Gastroenterol Hepatol 2021; 15:1077-1089. [PMID: 33487039 DOI: 10.1080/17474124.2021.1880894] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND Two-dimensional shear wave elastography (2D-SWE), magnetic resonance elastography (MRE), aspartate transaminase-to-platelet ratio index (APRI), fibrosis index based on 4 factors (FIB-4), and King's score have been proposed for diagnosing fibrosis. METHODS Literature databases were searched until October 1st, 2020. The summary area under the receiver operating characteristic curve (AUROC), the summary diagnostic odds ratios, and the summary sensitivities and specificities were used to assess the performance of these noninvasive methods for staging fibrosis. RESULTS Our final data contained 72 studies. The prevalence of significant fibrosis, advanced fibrosis, and cirrhosis was 58.3%, 36.2%, and 20.5%, respectively, in chronic hepatitis B (CHB). For 2D-SWE and MRE, the summary AUROCs were 0.89 and 0.97, 0.95 and 0.97, and 0.94 and 0.97 for significant fibrosis, advanced fibrosis, and cirrhosis, respectively. The summary AUROCs using APRI and FIB-4 for detecting significant fibrosis, advanced fibrosis, and cirrhosis were 0.76 and 0.75, 0.74 and 0.77, and 0.77 and 0.82, respectively. The summary AUROCs of King's score for detecting significant fibrosis and cirrhosis were 0.77 and 0.83, respectively. CONCLUSION MRE and 2D-SWE may show the best diagnostic accuracy for predicting fibrosis in CHB. Among the three serum markers, King's score may be more useful for diagnosing fibrosis.
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Affiliation(s)
- Bingtian Dong
- Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China
| | - Guorong Lyu
- Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China.,Department of Clinical Medicine, Quanzhou Medical College, Quanzhou, Fujian Province, China
| | - Yuping Chen
- Department of Endocrinology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China
| | - Guofu Lin
- Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Fujian Medical University, Respirology Medicine Centre of Fujian Province, Quanzhou, Fujian Province, China
| | - Huaming Wang
- Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China
| | - Ran Qin
- Department of Ultrasound, The Chenggong Hospital, Xiamen University, Xiamen, Fujian Province, China
| | - Jionghui Gu
- Department of Ultrasound, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, China
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Chen J, Allen AM, Therneau TM, Chen J, Li J, Hoodeshenas S, Chen J, Lu X, Zhu Z, Venkatesh SK, Song B, Ehman RL, Yin M. Liver stiffness measurement by magnetic resonance elastography is not affected by hepatic steatosis. Eur Radiol 2021; 32:950-958. [PMID: 34432123 DOI: 10.1007/s00330-021-08225-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 07/15/2021] [Indexed: 02/05/2023]
Abstract
OBJECTIVES To evaluate the relationship between biopsy-assessed hepatic steatosis, magnetic resonance imaging (MRI)-assessed proton density fat fraction (PDFF), and magnetic resonance elastography (MRE)-assessed liver stiffness measurement (LSM), in patients with or at risk for nonalcoholic fatty liver disease (NAFLD). METHODS A retrospective study was performed, encompassing 256 patients who had a liver biopsy and MRI/MRE examination performed within 1 year. Clinical and laboratory data were retrieved from the electronic medical record. Hepatic steatosis and fibrosis were assessed by histopathological grading/staging. First, we analyzed the diagnostic performance of PDFF for distinguishing hepatic steatosis with the receiver operating characteristic analyses. Second, variables influencing LSM were screened with univariant analyses, then identified with multivariable linear regression. Finally, the potential relationship between PDFF and LSM was assessed with linear regression after adjustment for other influencing factors, in patients with diagnosed steatosis (PDFF ≥ 5%). RESULTS The diagnostic accuracy of PDFF in distinguishing steatosis grades (S0-3) was above 0.82. No significant difference in LSM was found between patients with S1, S2, and S3 steatosis and between all steatosis grades after patients were grouped according to fibrosis stage. No statistically significant relationship was found between the LSM and PDFF (estimate = - 0.02, p = 0.065) after adjustment for fibrosis stage and age in patients with diagnosed steatosis (PDFF ≥ 5%). CONCLUSIONS In patients with NAFLD, the severity of hepatic steatosis has no significant influence on the liver stiffness measurement with magnetic resonance elastography. KEY POINTS • The MRI-based proton density fat fraction provides a quantitative assessment of hepatic steatosis with high accuracy. • No significant effect of hepatic steatosis on MRE-based liver stiffness measurement was found in patients with S1, S2, and S3 steatosis and between all steatosis grades after patients were grouped according to fibrosis stage. • After adjusting for fibrosis stage and age, there was no statistically significant relationship between liver stiffness and proton density fat fraction in patients with hepatic steatosis (p = 0.065).
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Affiliation(s)
- Jie Chen
- Department of Radiology, West China Hospital, Sichuan University, No.37 Guoxue Alley, Chengdu, 610041, China.,Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Alina M Allen
- Division of Gastroenterology and Hepatology, Mayo Clinic, 200 First Street SW, MN, 55905, Rochester, USA
| | - Terry M Therneau
- Division of Biomedical Statistics and Informatics, Mayo Clinic, 200 First Street SW, MN, 55905, Rochester, USA
| | - Jun Chen
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Jiahui Li
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Safa Hoodeshenas
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Jingbiao Chen
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Xin Lu
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Zheng Zhu
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Sudhakar K Venkatesh
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Bin Song
- Department of Radiology, West China Hospital, Sichuan University, No.37 Guoxue Alley, Chengdu, 610041, China
| | - Richard L Ehman
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Meng Yin
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
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Zhang ZQ, Shi BS, Lu W, Huang D, Wang YB, Feng YL. Quantitative serum HBV markers in predicting phases of natural history of chronic HBV infection. J Virol Methods 2021; 296:114226. [PMID: 34217779 DOI: 10.1016/j.jviromet.2021.114226] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Revised: 06/29/2021] [Accepted: 06/29/2021] [Indexed: 12/14/2022]
Abstract
BACKGROUND Clinical importance of commercially available quantitative HBV markers has not been fully investigated. OBJECTIVE To choice and to evaluate clinically valuable HBV markers for predicting phases of natural history with chronic HBV infection. METHODS 472 naïve patients with chronic HBV infection were enrolled, in which 21 and 220 were confirmed as HBeAg-positive inactive and active hepatitis (EPIH and EPAH), respectively, and 106 and 125 were confirmed as HBeAg-negative inactive and active hepatitis (ENIH and ENAH), respectively. HBsAg, HBcrAg and anti- HBc were measured using chemiluminescent immunoassay, and HBV DNA was measured using PCR-fluorescence probing assay. RESULTS There were all statistical differences in medians of HBsAg, anti-HBc, HBcrAg and HBV DNA between EPIH and EPAH and between ENIH and ENAH (all P < 0.01). According to binary logistic stepwise regressions, HBsAg and anti-HBc were preferred variables for predicting EPAH, and HBcrAg and HBV DNA were preferred variables for predicting ENAH. Based on normalization for coefficients of preferred variables entering regression equations, a handy model of MEPAH for predicting EPAH and of MENAH for predicting ENAH was constructed, respectively. Area under receiver operating characteristic curves of MEPAH and MENAH for predicting EPAH and ENAH were 0.882 and 0.931, respectively. With standard of MEPAH ≤ 5.997 and MENAH > 10.535, sensitivity or specificity of which for predicting EPAH and ENAH were about 81.0 % and 87.0 %, respectively. CONCLUSION HBsAg and anti-HBc for predicting EPAH and HBcrAg and HBV DNA for predicting ENAH are dependable markers; MEPAH for predicting EPAH and MENAH for predicting ENAH have very good performance.
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Affiliation(s)
- Zhan-Qing Zhang
- Department of Hepatobiliary Medicine, Shanghai Public Health Clinical Center of Fudan University, China.
| | - Bi-Sheng Shi
- Scientific Research Center, Shanghai Public Health Clinical Center of Fudan University, China.
| | - Wei Lu
- Department of Hepatobiliary Medicine, Shanghai Public Health Clinical Center of Fudan University, China.
| | - Dan Huang
- Department of Hepatobiliary Medicine, Shanghai Public Health Clinical Center of Fudan University, China.
| | - Yan-Bing Wang
- Department of Hepatobiliary Medicine, Shanghai Public Health Clinical Center of Fudan University, China.
| | - Yan-Ling Feng
- Department of Clinical Pathology, Shanghai Public Health Clinical Center of Fudan University, China.
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17
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Dong BT, Huang S, Lyu GR, Qin R, Gu JH. Assessment of liver fibrosis with liver and spleen stiffness measured by sound touch elastography, serum fibrosis markers in patients with chronic hepatitis B. J Dig Dis 2021; 22:342-350. [PMID: 33851510 DOI: 10.1111/1751-2980.12991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Revised: 04/07/2021] [Accepted: 04/11/2021] [Indexed: 12/11/2022]
Abstract
OBJECTIVES To evaluate the performance of liver stiffness (LS) and spleen stiffness (SS) by using the sound touch elastography (STE) technique and compare with those of the splenic index, aspartate transaminase-to-platelet ratio index (APRI), fibrosis-4 (FIB-4) index, King's score and combined models for diagnosing and staging fibrosis in chronic hepatitis B (CHB). METHODS One hundred patients with CHB underwent STE and serological tests. LS and SS values were measured with STE technique, and splenic index was calculated. Staging of fibrosis was determined with liver biopsy. Correlations between the individual parameters and the stage of fibrosis were evaluated with the Spearman correlation analysis. The area under the receiver operating characteristic curve (AUROC) was calculated to analyze the performance of all methods. RESULTS Among all individual parameters, LS showed the highest AUROC for diagnosing fibrosis of ≥S2, ≥S3, and S4 stages (AUROC: 0.70, 0.86, and 0.96, respectively; all P < 0.05). The AUROC of combined model 1 (LS and SS) and 2 (LS, SS, APRI, FIB-4 index, King's score) for diagnosing ≥S2, ≥S3, and S4 fibrosis were 0.70, 0.86, 0.97, and 0.70, 0.86, 0.96, respectively, which were higher than those of APRI, FIB-4 index and the King's score (P < 0.05). No significant differences were found between two combined models and LS for staging fibrosis (P > 0.05). CONCLUSIONS LS measurement is reliable for diagnosing and staging fibrosis in CHB, with a better performance than SS, splenic index and serum biomarkers. It is also comparable with the performance of combined models.
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Affiliation(s)
- Bing Tian Dong
- Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China
| | - Shu Huang
- Department of Ultrasound, Chenggong Hospital Affiliated to Xiamen University, Xiamen, Fujian Province, China
| | - Guo Rong Lyu
- Department of Ultrasound, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China
| | - Ran Qin
- Department of Ultrasound, Chenggong Hospital Affiliated to Xiamen University, Xiamen, Fujian Province, China
| | - Jiong Hui Gu
- Department of Ultrasound, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang Province, China
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18
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Itakura J, Kurosaki M, Setoyama H, Simakami T, Oza N, Korenaga M, Tanaka M, Torimura T, Sakamoto N, Enomoto N, Ueno Y, Kawada N, Kaneko S, Nishiguchi S, Chayama K, Tanaka J, Izumi N, Kanto T. Applicability of APRI and FIB-4 as a transition indicator of liver fibrosis in patients with chronic viral hepatitis. J Gastroenterol 2021; 56:470-478. [PMID: 33791882 DOI: 10.1007/s00535-021-01782-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Accepted: 03/18/2021] [Indexed: 02/04/2023]
Abstract
BACKGROUND AND AIMS The usefulness of APRI or FIB-4 is well established as a non-invasive liver fibrosis marker at a point of diagnosis in patients with chronic liver disease. However, their applicability for the monitoring of progression of liver fibrosis over time is yet to be determined. We aimed to clarify the feasibility of APRI and FIB-4 for the longitudinal evaluation of liver fibrosis in patients with chronic hepatitis B and C. METHODS This is a multi-center retrospective and prospective cohort study, enrolling 1029 patients with HCV and 384 patients with HBV who were histologically diagnosed by liver biopsy. The observation period of retrospective and prospective study was 14 and 12 years, respectively. The APRI and FIB-4 were traced back in cases of histologically diagnosed cirrhosis, and those were prospectively analyzed after biopsy in cases diagnosed as F3 of METAVIR score, respectively. RESULTS The averaged APRI and FIB-4 exhibited time-dependent increase in the retrospective study of hepatitis C patients (increase by 0.09/year in APRI and 0.29/year in FIB-4). In the prospective study of untreated hepatitis C patients, such increases were 0.14/year in APRI and 0.40/year in FIB-4, respectively. Neither the average of APRI nor FIB-4 showed a specific tendency with hepatitis B patients and treatment-experienced hepatitis C patients. CONCLUSION The APRI and FIB-4 may serve as a transition indicator of liver fibrosis in anti-viral treatment-naïve patients with chronic hepatitis C.
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Affiliation(s)
- Jun Itakura
- Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Tokyo, Japan
| | - Masayuki Kurosaki
- Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Tokyo, Japan
| | - Hiroko Setoyama
- Department of Gastroenterology and Hepatology, Kumamoto Rosai Hospital, Yatsushiro, Japan
| | - Tetsuro Simakami
- Department of Gastroenterology, Saga Medical Center Kouseikan, Saga, Japan
| | - Noriko Oza
- Department of Molecular Oncology, Cancer Research Institute, Kanazawa University, Kanazawa, Japan
| | - Masaaki Korenaga
- Department of Liver Disease, Research Center for Hepatitis and Immunology, National Center for Global Health and Medicine, 1-7-1 Kohnodai, Ichikawa, Chiba, Tokyo, 272-8516, Japan
| | - Motohiko Tanaka
- Department of Gastroenterology and Hepatology, Graduate School of Medical Science, Kumamoto University, Kumamoto, Japan
| | - Takuji Torimura
- Division of Gastroenterology, Department of Medicine, Kurume University School of Medicine, Kurume, Japan
| | - Naoya Sakamoto
- Department of Gastroenterology and Hepatology, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Nobuyuki Enomoto
- First Department of Internal Medicine, Faculty of Medicine, University of Yamanashi, Yamanashi, Japan
| | - Yoshiyuki Ueno
- Department of Gastroenterology, Faculty of Medicine, Yamagata University, Yamagata, Japan
| | - Norifumi Kawada
- Department of Hepatology, Graduate School of Medicine, Osaka City University, Osaka, Japan
| | - Shuichi Kaneko
- Department of Gastroenterology, Saga Medical Center Kouseikan, Saga, Japan
| | - Shuhei Nishiguchi
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, Hyogo College of Medicine, Nishinomiya, Japan
| | - Kazuaki Chayama
- Department of Gastroenterology and Metabolism, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Junko Tanaka
- Department of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Namiki Izumi
- Department of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Tokyo, Japan
| | - Tatsuya Kanto
- Department of Liver Disease, Research Center for Hepatitis and Immunology, National Center for Global Health and Medicine, 1-7-1 Kohnodai, Ichikawa, Chiba, Tokyo, 272-8516, Japan.
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Qu Z, Yang S, Xing F, Tong R, Yang C, Guo R, Huang J, Lu F, Fu C, Yan X, Hectors S, Gillen K, Wang Y, Liu C, Zhan S, Li J. Magnetic resonance quantitative susceptibility mapping in the evaluation of hepatic fibrosis in chronic liver disease: a feasibility study. Quant Imaging Med Surg 2021; 11:1170-1183. [PMID: 33816158 DOI: 10.21037/qims-20-720] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Background Noninvasive methods for the early diagnosis and staging of hepatic fibrosis are needed. The present study aimed to investigate the alteration of magnetic susceptibility in the liver of patients with various fibrosis stages and to evaluate the feasibility of using susceptibility to stage hepatic fibrosis. Methods A total of 30 consecutive patients with chronic liver diseases (CLDs) underwent magnetic resonance imaging (MRI) and liver biopsy evaluation of hepatic fibrosis, necroinflammatory activity, iron load, and steatosis. Quantitative susceptibility mapping (QSM), R2* and proton density fat fraction (PDFF) images were postprocessed from the same gradient-echo data for quantitative tissue characterization using region of interest (ROI) analysis. The differences for MRI measurements between cohorts of non-significant (Ishak-F <3) and significant fibrosis (Ishak-F ≥3) and the correlation of MRI measurements with fibrosis stages and necroinflammatory activity grades were tested. Receiver operating characteristic (ROC) analysis was also performed. Results There was a significant difference in liver susceptibility between the cohorts of significant and non-significant fibrosis (Z=-2.880, P=0.004). A moderate negative correlation between the stages of liver fibrosis and liver susceptibility was observed (r=-0.471, P=0.015). Liver magnetic susceptibility differentiated non-significant from significant hepatic fibrosis with an area under the receiver operating curve (AUC) of 0.836 (P=0.004). A highly sensitive diagnostic performance with an AUC of 0.933 was obtained using magnetic susceptibility and PDFF together (P<0.001). Conclusions A noninvasive liver QSM-based evaluation promises an accurate assessment of significant fibrosis in patients with CLDs.
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Affiliation(s)
- Zheng Qu
- Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai, China
| | - Shuohui Yang
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Feng Xing
- Department of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Rui Tong
- Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai, China
| | - Chenyao Yang
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Rongfang Guo
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jiling Huang
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Fang Lu
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Caixia Fu
- MR Collaboration NE Asia, Siemens Healthcare, Shanghai, China
| | - Xu Yan
- MR Collaboration NE Asia, Siemens Healthcare, Shanghai, China
| | - Stefanie Hectors
- Department of Radiology, Weill Medical College of Cornell University, New York, NY, USA
| | - Kelly Gillen
- Department of Radiology, Weill Medical College of Cornell University, New York, NY, USA
| | - Yi Wang
- Department of Radiology, Weill Medical College of Cornell University, New York, NY, USA.,Department of Biomedical Engineering, Cornell University, Ithaca, NY, USA
| | - Chenghai Liu
- Department of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.,Shanghai Key Laboratory of Traditional Chinese Clinical Medicine, Shanghai, China
| | - Songhua Zhan
- Department of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Jianqi Li
- Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, Shanghai, China
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Wang Q, Liu H, Zhu Z, Sheng Y, Du Y, Li Y, Liu J, Zhang J, Xing W. Feasibility of T1 mapping with histogram analysis for the diagnosis and staging of liver fibrosis: Preclinical results. Magn Reson Imaging 2020; 76:79-86. [PMID: 33242591 DOI: 10.1016/j.mri.2020.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 10/10/2020] [Accepted: 11/14/2020] [Indexed: 02/07/2023]
Abstract
PURPOSE To compare the diagnostic accuracy of parameters derived from the histogram analysis of precontrast, 10-min hepatobiliary phase (HBP) and 20-min HBP T1 maps for staging liver fibrosis (LF). METHODS LF was induced in New Zealand white rabbits by subcutaneous injections of carbon tetrachloride for 4-16 weeks (n = 120), and 20 rabbits injected with saline served as controls. Precontrast, 10-min and 20-min HBP modified Look-Locker inversion recovery (MOLLI) T1 mapping was performed. Histogram analysis of T1 maps was performed, and the mean, median, skewness, kurtosis, entropy, inhomogeneity and 10th/25th/75th/90th percentiles of T1native, T110min and T120min were derived. Quantitative histogram parameters were compared. For significant parameters, further receiver operating characteristic (ROC) analyses were performed to evaluate the potential diagnostic performance in differentiating LF stages. RESULTS Finally, 17, 20, 21, 21 and 20 rabbits were included for the F0, F1, F2, F3, and F4 pathological grades of fibrosis, respectively. The mean/75th of T1native, entropy of T110min and entropy/mean/median/10th of T120min demonstrated a significant good correlation with the LF stage (|r| = 0.543-0.866, all P < 0.05). The 75th of T1native, entropy10min, and entropy20min were the three most reliable imaging markers in reflecting the stage of LF. The area under the ROC curve of entropy20min was larger than that of entropy10min (P < 0.05 for LF ≥ F2, ≥F3, and ≥ F4) and the 75th of T1native (P < 0.05 for LF ≥ F2 and ≥ F3) for staging LF. CONCLUSION Magnetic resonance histogram analysis of T1 maps, particularly the entropy derived from 20-min HBP T1 mapping, is promising for predicting the LF stage.
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Affiliation(s)
- Qing Wang
- Department of Radiology, Third Affiliated Hospital of Soochow University, Changzhou & Changzhou First People's Hospital, Jiangsu 213200, China.
| | - HaiFeng Liu
- Department of Radiology, Third Affiliated Hospital of Soochow University, Changzhou & Changzhou First People's Hospital, Jiangsu 213200, China
| | - ZuHui Zhu
- Department of Radiology, Third Affiliated Hospital of Soochow University, Changzhou & Changzhou First People's Hospital, Jiangsu 213200, China
| | - Ye Sheng
- Department of Interventional Radiology, Third Affiliated Hospital of Soochow University & Changzhou First People's Hospital, Changzhou, Jiangsu 213200, China
| | - YaNan Du
- Department of Radiology, Third Affiliated Hospital of Soochow University, Changzhou & Changzhou First People's Hospital, Jiangsu 213200, China
| | - YuFeng Li
- Department of Radiology, Third Affiliated Hospital of Soochow University, Changzhou & Changzhou First People's Hospital, Jiangsu 213200, China
| | - JianHong Liu
- Department of Pathology, The Third People's Hospital of Changzhou, Changzhou, Jiangsu 213200, China
| | | | - Wei Xing
- Department of Radiology, Third Affiliated Hospital of Soochow University, Changzhou & Changzhou First People's Hospital, Jiangsu 213200, China.
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MR elastography of liver: current status and future perspectives. Abdom Radiol (NY) 2020; 45:3444-3462. [PMID: 32705312 DOI: 10.1007/s00261-020-02656-7] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Revised: 07/06/2020] [Accepted: 07/09/2020] [Indexed: 02/08/2023]
Abstract
Non-invasive evaluation of liver fibrosis has evolved over the last couple of decades. Currently, elastography techniques are the most widely used non-invasive methods for clinical evaluation of chronic liver disease (CLD). MR elastography (MRE) of the liver has been used in the clinical practice for nearly a decade and continues to be widely accepted for detection and staging of liver fibrosis. With MRE, one can directly visualize propagating shear waves through the liver and an inversion algorithm in the scanner automatically converts the shear wave properties into an elastogram (stiffness map) on which liver stiffness can be calculated. The commonly used MRE method, two-dimensional gradient recalled echo (2D-GRE) sequence has produced excellent results in the evaluation of liver fibrosis in CLD from various etiologies and newer clinical indications continue to emerge. Advances in MRE technique, including 3D MRE, automated liver elasticity calculation, improvements in shear wave delivery and patient experience, are promising to provide a faster and more reliable MRE of liver. Innovations, including evaluation of mechanical parameters, such as loss modulus, displacement, and volumetric strain, are promising for comprehensive evaluation of CLD as well as understanding pathophysiology, and in differentiating various etiologies of CLD. In this review, the current status of the MRE of liver in CLD are outlined and followed by a brief description of advanced techniques and innovations in MRE of liver.
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22
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He T, Li J, Ouyang Y, Lv G, Ceng X, Zhang Z, Ding J. FibroScan Detection of Fatty Liver/Liver Fibrosis in 2266 Cases of Chronic Hepatitis B. J Clin Transl Hepatol 2020; 8:113-119. [PMID: 32832390 PMCID: PMC7438355 DOI: 10.14218/jcth.2019.00053] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 03/18/2020] [Accepted: 03/31/2020] [Indexed: 01/26/2023] Open
Abstract
Background and Aims: FibroScan is used to determine liver stiffness and controlled attenuation parameter (referred to as CAP) scores in patients, including those with chronic hepatitis B (CHB). We used FibroScan to detect the incidence of fatty liver and fibrosis in CHB patients, and to assess the correlation of FibroScan measurements with blood chemistry tests. Methods: CHB patients enrolled in this study were divided independently for three separate analyses (of fibrosis, cirrhosis, and fatty liver) based on FibroScan results. Basic information, blood chemistry test results, liver fibrosis parameters, and FibroScan results were collected. T-tests and Pearson's analyses were used to analyze the correlations between FibroScan liver stiffness measurement/CAP values and liver function, blood fat, uric acid metabolite, fibrosis, and hepatitis B virus load. Results: A total of 2266 CHB patients were enrolled in the study and divided into three groups: non-significant and significant fibrosis; non-cirrhosis and early cirrhosis; and non-fatty and fatty liver. Spearman's statistical analyses showed that liver stiffness measurement or CAP values correlated with sex (r=0.137), age (r=0.119),glutamic-pyruvic transaminase (r=0.082), glutamic-oxaloacetic transaminase (r=-0.172), gamma-glutamyltransferase (r=0.225), albumin (r=0.150), globulin (r=-0.107), total bilirubin (r=-0.132), direct bilirubin (r=-0.145), white blood cell count (r=0.254), hemoglobin (r=0.205), platelets (r=0.206), total cholesterol (r=0.214), high density lipoprotein (r=-0.243), low density lipoprotein (r=0.255), apolipoprotein B (r=0.217), hyaluronic acid (r=-0.069), laminin (r=-0.188), procollagen type IV (r=-0.067)and hepatitis B viral DNA load (r=-0.216). Conclusions: FibroScan is a non-invasive device that can detect the occurrence of fatty liver or liver fibrosis in CHB patients.
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Affiliation(s)
- Tingshan He
- Department of Infectious Diseases, Shunde Hospital, Southern Medical University, Shunde, Guangdong, China
| | - Jing Li
- Department of Infectious Diseases, Shunde Hospital, Southern Medical University, Shunde, Guangdong, China
| | - Yanling Ouyang
- Department of Infectious Diseases, Shunde Hospital, Southern Medical University, Shunde, Guangdong, China
| | - Guotao Lv
- Department of Infectious Diseases, Shunde Hospital, Southern Medical University, Shunde, Guangdong, China
| | - Xiaofeng Ceng
- Department of Pathology, Shunde Hospital, Southern Medical University, Shunde, Guangdong, China
| | - Zhiqiao Zhang
- Department of Infectious Diseases, Shunde Hospital, Southern Medical University, Shunde, Guangdong, China
- Correspondence to: Jianqiang Ding, Department of Infectious Diseases, Shunde Hospital, Southern Medical University, 1Jiazi Road, Shunde, Guangdong 528308, China. Tel: +86-15218853076, E-mail: ; Zhiqiao Zhang, Department of Infectious Diseases, Shunde Hospital, Southern Medical University, 1Jiazi Rd, Shunde, Guangdong 528308, China. Tel: +86-15876129625, E-mail:
| | - Jianqiang Ding
- Department of Infectious Diseases, Shunde Hospital, Southern Medical University, Shunde, Guangdong, China
- Correspondence to: Jianqiang Ding, Department of Infectious Diseases, Shunde Hospital, Southern Medical University, 1Jiazi Road, Shunde, Guangdong 528308, China. Tel: +86-15218853076, E-mail: ; Zhiqiao Zhang, Department of Infectious Diseases, Shunde Hospital, Southern Medical University, 1Jiazi Rd, Shunde, Guangdong 528308, China. Tel: +86-15876129625, E-mail:
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Li J, Venkatesh SK, Yin M. Advances in Magnetic Resonance Elastography of Liver. Magn Reson Imaging Clin N Am 2020; 28:331-340. [PMID: 32624152 DOI: 10.1016/j.mric.2020.03.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
Magnetic resonance elastography (MRE) is the most accurate noninvasive technique in diagnosing fibrosis and cirrhosis in patients with chronic liver disease (CLD). The accuracy of hepatic MRE in distinguishing the severity of disease has been validated in studies of patients with various CLDs. Advanced hepatic MRE is a reliable, comfortable, and inexpensive alternative to liver biopsy for disease diagnosing, progression monitoring, and clinical decision making in patients with CLDs. This article summarizes current knowledge of the technical advances and innovations in hepatic MRE, and the clinical applications in various hepatic diseases.
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Affiliation(s)
- Jiahui Li
- Department of Radiology, Mayo Clinic, 200 First Street Southwest, Rochester, MN 55905, USA
| | | | - Meng Yin
- Department of Radiology, Mayo Clinic, 200 First Street Southwest, Rochester, MN 55905, USA.
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Wang XP, Wang Y, Ma H, Wang H, Yang DW, Zhao XY, Jin EH, Yang ZH. Assessment of liver fibrosis with liver and spleen magnetic resonance elastography, serum markers in chronic liver disease. Quant Imaging Med Surg 2020; 10:1208-1222. [PMID: 32550131 DOI: 10.21037/qims-19-849] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Background The accurate assessment of liver fibrosis is essential for patients with chronic liver disease. A liver biopsy is an invasive procedure that has many potential defects and complications. Therefore, noninvasive assessment techniques are of considerable value for clinical diagnosis. Liver and spleen magnetic resonance elastography (MRE) and serum markers have been proposed for quantitative and noninvasive assessment of liver fibrosis. This study aims to compare the diagnostic performance of liver and spleen stiffness measured by MRE, fibrosis index based on the 4 factors (FIB-4), aspartate aminotransferase-to-platelet ratio index (APRI), and their combined models for staging hepatic fibrosis. Methods One hundred and twenty patients with chronic liver disease underwent MRE scans. Liver and spleen stiffness were measured by the MRE stiffness maps. Serum markers were collected to calculate FIB-4 and APRI. Liver biopsies were used to identify pathologic grading. Spearman's rank correlation analysis evaluated the correlation between the parameters and fibrosis stages. Receiver operating characteristic (ROC) analysis evaluated the performance of the four individual parameters, a liver and spleen stiffness combined model, and an all-parameters combined model in assessing liver fibrosis. Results Liver stiffness, spleen stiffness, FIB-4, and APRI were all correlated with fibrosis stage (r=0.87, 0.64, 0.65, and 0.51, respectively, all P<0.001). Among the 4 individual diagnostic markers, liver stiffness showed the highest values in staging F1-4, F2-4, F3-4 and F4 (AUC =0.89, 0. 97, 0.95, and 0.95, all P<0.001). The AUCs of the liver and spleen stiffness combined model in the F1-4, F2-4, F3-4, and F4 staging groups were 0.89, 0.97, 0.95, and 0.96, respectively (all P<0.001). The corresponding AUCs of the all-parameters combined model were 0.90, 0.97, 0.95, and 0.96 (all P<0.001). The AUCs of the liver and spleen stiffness combined model were significantly higher than those of APRI, FIB-4 in the F2-4, F3-4, and F4 staging groups (all P<0.05). Both combined models were not significantly different from liver stiffness in staging liver fibrosis (all P>0.05). Conclusions Liver stiffness measured with MRE had better diagnostic performance than spleen stiffness, APRI, and FIB-4 for fibrosis staging. The combined models did not significantly improve the diagnostic value compared with liver stiffness in staging fibrosis.
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Affiliation(s)
- Xiao-Pei Wang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Yu Wang
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Hong Ma
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Han Wang
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Da-Wei Yang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Xin-Yan Zhao
- Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Er-Hu Jin
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
| | - Zheng-Han Yang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
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