Cited by 895Liver Disease Diagnosis and TreatmentLiver Disease and TransplantationUltrasound Imaging and Elastography

The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.

Comparison of laboratory tests, ultrasound, or magnetic resonance elastography to detect fibrosis in patients with nonalcoholic fatty liver disease: a meta-analysis

Open access

Xiao, Guangqin, Zhu, Sixian, Xiao, Xiao, Yan, Lunan, Yang, Jiayin, Wu, Gang·2017·Hepatology

Open this paper in CoChat — free account Open PDF

Abstract

Many noninvasive methods for diagnosing liver fibrosis (LF) have been proposed. To determine the best method for diagnosing LF in nonalcoholic fatty liver disease (NAFLD), we conducted a systemic review and meta-analysis to compare the performance of aspartate aminotransferase to platelets ratio index (APRI), fibrosis-4 index (FIB-4), BARD score, NAFLD fibrosis score (NFS), FibroScan, shear wave elastography (SWE), and magnetic resonance elastography (MRE) for diagnosing LF in NAFLD. We compared the sensitivity, specificity, positive predictive value, negative predictive value, and area under the receiver operating characteristic curve (AUROC) of these noninvasive methods for detecting significant fibrosis (SF), advanced fibrosis (AF), and cirrhosis. Heterogeneity was explored using meta-regression. Sixty-four articles with a total of 13,046 NAFLD subjects were included. The overall mean prevalence of SF, AF, and cirrhosis was 45.0%, 24.0%, and 9.4% in NAFLD patients, respectively. With an APRI threshold of 1.0 and 1.5, the sensitivities and specificities were 50.0% and 84.0% and 18.3% and 96.1%, respectively, for AF. With a FIB-4 threshold of 2.67 and 3.25, the sensitivities and specificities were 26.6% and 96.5% and 31.8% and 96.0%, respectively, for AF. The summary sensitivities and specificities of BARD score (threshold of 2), NFS (threshold of -1.455), FibroScan M (threshold of 8.7-9), SWE, and MRE for detecting AF were 0.76 and 0.61, 0.72 and 0.70, 0.87 and 0.79, 0.90 and 0.93, and 0.84 and 0.90, respectively. The summary AUROC values using APRI, FIB-4, BARD score, NFS, FibroScan M probe, XL probe, SWE, and MRE for diagnosing AF were 0.77, 0.84, 0.76, 0.84, 0.88, 0.85, 0.95, and 0.96, respectively. CONCLUSION: MRE and SWE may have the highest diagnostic accuracy for staging fibrosis in NAFLD patients. Among the four noninvasive simple indexes, NFS and FIB-4 probably offer the best diagnostic performance for detecting AF. (Hepatology 2017;66:1486-1501).

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.1002/hep.29302

Cites

32 of 32 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Development of a simple noninvasive index to predict significant fibrosis in patients with HIV/HCV coinfection†‡
Sterling, R. K., Lissen, E., Clumeck, N., Sola, R., Correa, M. C., Montaner, J., S. Sulkowski, M., Torriani, F. J., Dieterich, D. T., Thomas, D. L., et al. (2006) · Hepatology · doi:10.1002/hep.21178 · Cited by 5,021 · cited 1×
“Dozens of noninvasive models composed of blood biochemical biomarkers have been proposed to detect LF, including aspartate aminotransferase to platelets ratio index (APRI)((5)) and fibrosis-4 index (FIB-4).((6)) However, APRI and FIB-4 were established based on patients with hepatitis C virus (HCV) infection or HIV/HC…”
Method
A Simple Noninvasive Index Can Predict Both Significant Fibrosis and Cirrhosis in Patients With Chronic Hepatitis C
Wai, C.-T., Greenson, J. K., Fontana, R. J., Kalbfleisch, J. D., Marrero, J. A., Conjeevaram, H. S., & Lok, A. S.-F. (2003) · Hepatology · doi:10.1053/jhep.2003.50346 · Cited by 4,406
The NAFLD fibrosis score
Angulo, P., Hui, J. M., Marchesini, G., Bugianesi, E., George, J., Farrell, G. C., Enders, F., Saksena, S., Burt, A. D., Bida, J. P., et al. (2007) · Hepatology · doi:10.1002/hep.21496 · Cited by 3,255
Sampling Variability of Liver Fibrosis in Chronic Hepatitis C
Bédossa, P., Dargère, D., & Paradis, V. (2003) · Hepatology · doi:10.1016/j.hep.2003.09.022 · Cited by 2,370
Age as a confounding factor for the accurate non-invasive diagnosis of advanced NAFLD fibrosis
McPherson, S., Hardy, T., Dufour, J.-F., Petta, S., Romero-Gomez, M., Allison, M., Oliveira, C. P., Francque, S., Van Gaal, L., Schattenberg, J. M., et al. (2017) · American Journal of Gastroenterology · doi:10.1038/ajg.2016.453 · Cited by 945
Development and validation of a simple NAFLD clinical scoring system for identifying patients without advanced disease
Harrison, S. A., Oliver, D., Arnold, H. L., Gogia, S., & Neuschwander‐Tetri, B. A. (2008) · Gut · doi:10.1136/gut.2007.146019 · Cited by 869
Magnetic Resonance Imaging More Accurately Classifies Steatosis and Fibrosis in Patients With Nonalcoholic Fatty Liver Disease Than Transient Elastography
Imajo, K., Kessoku, T., Honda, Y., Tomeno, W., Ogawa, Y., Mawatari, H., Fujita, K., Yoneda, M., Taguri, M., Hyogo, H., et al. (2015) · Gastroenterology · doi:10.1053/j.gastro.2015.11.048 · Cited by 835
Magnetic Resonance Elastography for the Noninvasive Staging of Liver Fibrosis
Huwart, L., Sempoux, C. L., Vicaut, É., Salameh, N., Annet, L., Danse, É., Peeters, F., ter Beek, L. C., Rahier, J., Sinkus, R., et al. (2008) · Gastroenterology · doi:10.1053/j.gastro.2008.03.076 · Cited by 726
Magnetic Resonance Elastography vs Transient Elastography in Detection of Fibrosis and Noninvasive Measurement of Steatosis in Patients With Biopsy-Proven Nonalcoholic Fatty Liver Disease
Park, C. C., Nguyen, P., Hernandez, C., Bettencourt, R., Ramirez, K., Fortney, L., Hooker, J. C., Sy, E. Z., Savides, M. T., Alquiraish, M. H., et al. (2016) · Gastroenterology · doi:10.1053/j.gastro.2016.10.026 · Cited by 715
Nonalcoholic fatty liver disease and nonalcoholic steatohepatitis
Vuppalanchi, R., & Chalasani, N. (2008) · Hepatology · doi:10.1002/hep.22603 · Cited by 568

Show all 32 references

Sorted by citations

Items 701–800 of 893

Extracardiac imaging biomarkers of cardiovascular health: a comprehensive review
Ahn, W. J., Choi, I. Y., Shim, E., Yeom, S. K., Hwang, S. H., Yong, H. S., Lee, Y. H., & Kim, C. (2026) · British Journal of Radiology · doi:10.1093/bjr/tqag006 · Cited by 1
Integration of dual-energy computed tomography and radiomics to improve noninvasive assessment of liver fibrosis: A retrospective study
Miyachi, T., Ichikawa, S., Kobayashi, T., Osugi, A., Suzuki, R., Kakuya, M., Funayama, S., Tanahashi, Y., Ozaki, K., & Goshima, S. (2026) · Journal of Clinical Imaging Science · doi:10.25259/jcis_255_2025 · Cited by 1
Automatic hepatic steatosis quantification using low-dose CT with deep learning-based noise reduction and CT fat fraction analysis software
Youn, S. J., Jeon, S. K., Yoon, J. H., Ahn, C., & Lee, J. M. (2026) · British Journal of Radiology · doi:10.1093/bjr/tqag054 · Cited by 1
Noninvasive surrogate endpoints of adverse outcomes, disease progression, and treatment efficacy in metabolic dysfunction–associated steatohepatitis (MASH)
Sanyal, A. J., Abdelmalek, M. F., & Loomba, R. S. (2026) · Hepatology · doi:10.1097/hep.0000000000001734 · Cited by 1
Evaluation of Ultrasound Shear Wave Elastography ( SWE ) and Attenuation Imaging ( ATI ) for the Assessment of Hepatic Fibrosis and Steatosis—A Prospective Comparison With MRI Liver Elastography and Proton Density Fat Fraction ( PDFF )
Lee, J. Y., Wang, W., Simkin, P. M., Lim, B. G., Stella, D. L., Lai, J. K. C., Sood, S. S., Hng, J., & Gibson, R. N. (2026) · Journal of Medical Imaging and Radiation Oncology · doi:10.1111/1754-9485.70093 · Cited by 1
Metabolic dysfunction-associated steatotic liver disease in Asia: implications on management
Lai, K. N., & Wong, V. W. (2026) · Singapore Medical Journal · doi:10.4103/singaporemedj.smj-2025-167 · Cited by 1
Clinical Use of Noninvasive Testing for Liver Fibrosis in Metabolic Dysfunction-Associated Steatotic Liver Disease
Mironova, M., & Loomba, R. S. (2026) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2026.03.014 · Cited by 1
The Prevalence and Risk Factors for at‐Risk MASH and Advanced Liver Fibrosis in People With Metabolic Risk Factors in Primary Care
Adams, L. A., Lei, S., Bertot, L. C., Schrader, S., Frear, S., Zhou, C., Heywood, S. E., & Emery, J. (2026) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.70750 · Cited by 1
Differentiating advanced from non-advanced hepatic fibrosis: a hybrid deep learning-radiomics model leveraging synthetic contrast-enhanced CT from CycleGAN
He, J., Pan, Y., Yang, M., Hu, N., Li, F., Lin, Z., Xiao, Y., 龙继福, & Lei, P. (2026) · Abdominal Radiology · doi:10.1007/s00261-026-05563-5 · Cited by 1
Coassembled peptide nanoparticles enable stage-specific diagnosis and targeted therapy of hepatic fibrosis by inhibiting macrophage-driven inflammation
Li, B., Pan, C., Ma, Y., Bao, J., & Zou, Q. (2026) · Biomaterials · doi:10.1016/j.biomaterials.2026.124530 · Cited by 1
INTERPRETABLE AI-DRIVEN ULTRASOUND ANALYSIS FOR THE SELECTION OF PEDIATRIC PATIENTS FOR LIVER ELASTOGRAPHY: A PILOT STUDY
Solodushchenko, V. V., Dyba, M. B., Babenko, V. O., Globa, M. V., & Tarasyuk, B. A. (2026) · Clinical and Preventive Medicine · doi:10.31612/2616-4868.6.2026.13 · Cited by 1
Wet Biomarker-Based Assessment of Steatosis, Inflammation, and Fibrosis in NAFLD
Eriksen, P. L., Thomsen, K. L., Laursen, T. L., Kazankov, K., Heebøll, S., & Grønbæk, H. (2017) · Current Hepatology Reports · doi:10.1007/s11901-017-0369-3 · Cited by 1
Diabetes und Gastroenterologie – Update 2017
Bojunga, J., & Mondorf, A. W. (2018) · Der Diabetologe · doi:10.1007/s11428-018-0351-x · Cited by 1
Detection of NAFLD/NASH in the General Population and in Primary Care Clinics
Margalit, M., Yeshua, H., Gotlieb, N., & Zelber‐Sagi, S. (2020) · Springer eBooks · doi:10.1007/978-3-030-37173-9_2 · Cited by 1
IV. Evaluation of Liver Fibrosis and Steatosis in Non-alcoholic Fatty Liver Disease
Tamaki, N., & Kurosaki, M. (2020) · Nihon Naika Gakkai Zasshi · doi:10.2169/naika.109.34 · Cited by 1
Non-aspirin NSAIDs use is associated with lowering of liver fibrosis scores in patients with fatty liver disease
Ogbu, I. R., asl, H. A., Ayutyanont, N., Manov, A. E., & Manne, V. (2021) · World Journal of Advanced Research and Reviews · doi:10.30574/wjarr.2021.10.1.0165 · Cited by 1
Comparison of NAFLD Fibrosis Score with Shear Wave Elastograpghy to Identify Liver Fibrosis in Patients with NAFLD
Waseem, M. A., Saleem, S., Younis, M. Y., Khan, S. H., Jabbar, S., & Ullah, A. (2022) · Pakistan Journal of Medical and Health Sciences · doi:10.53350/pjmhs22162914 · Cited by 1
Recommendations for overcoming challenges in the diagnosis of lysosomal acid lipase deficiency
Giraldo, P., de Frutos, L. L., & Cebolla, J. J. (2022) · Expert Opinion on Orphan Drugs · doi:10.1080/21678707.2022.2131393 · Cited by 1
Liver Stiffness Values in Persons with Normal Histology
Sharma, D., Choudhary, N. S., Dhampalwar, S., Saraf, N., Duseja, A. K., Gautam, D., Soin, A. S., & Sud, R. (2022) · Journal of Clinical and Experimental Hepatology · doi:10.1016/j.jceh.2022.10.008 · Cited by 1
Comparison of Diagnostic Accuracy of Magnetic Resonance Imaging and Transient Elastography Fibro Scan for Detecting Liver Fibrosis
Shahzeen, R., Sibtain, Z., Ahmed, N., Qaiser, M. A., Butt, N., & Muhammad, G. (2022) · Pakistan Journal of Medical and Health Sciences · doi:10.53350/pjmhs221610426 · Cited by 1
Non-invasive testing for advanced fibrosis in patients with diabetes with fatty liver disease needs further evaluation of cut-off values
Rajvanshi, P., & Gurumurthy, S. (2023) · Journal of Hepatology · doi:10.1016/j.jhep.2023.04.017 · Cited by 1
Liver Segmentation in Ultrasound Images Using Self-Supervised Learning with Physics-inspired Augmentation and Global-Local Refinement
Ali, A.-R., Guo, P., & Samir, A. E. (2023) · doi:10.21428/594757db.120db6ad · Cited by 2
NAFLD, the hepatic manifestation of the metabolic syndrome
Chaudhury, T., Brodosi, L., Marchesini, G., Mitra, S. K., & Petroni, M. L. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-85732-1.00055-4 · Cited by 1
A Novel Algorithm for Streamlining Diagnosis of Advanced Liver Fibrosis in CHB Patients with Concurrent Hepatic Steatosis
Xu, X., Rui, F., Ni, W., Wu, C., Shi, J., & Li, J. (2024) · Journal of Clinical and Translational Hepatology · doi:10.14218/jcth.2023.00362 · Cited by 1
Association Between Liver Fibrosis Score and Diabetic Kidney Disease: A Retrospective Cross-Sectional Study of Hospitalized Patients
Shen, C., Zhang, J., Tian, Z., Cao, J., Jiao, Y., Wang, B., Feng, S., Luo, Z., Zhang, Q., Deng, Y., et al. (2024) · Experimental and Clinical Endocrinology & Diabetes · doi:10.1055/a-2280-3742 · Cited by 1
Characterization of an At-Risk Population for Nonalcoholic Fatty Liver Disease (NAFLD) in a Primary Care Setting Along the U.S.–Mexico Border
Spitz, L., Saadiq, S., Shokar, N. K., Zuckerman, M. J., Casner, N. A., Valenzuela, R., & Salinas, J. J. (2024) · Journal of Transcultural Nursing · doi:10.1177/10436596241271265 · Cited by 1
Elevated Alanine Transaminase-to-Platelet Index (APRI) Is Associated with Obesity and Distinct Forms of Dyslipidemia: A Retrospective Cross-Sectional Study
Alshuweishi, Y., Alfayez, D. I., Almufarrih, A. A., Abudawood, A., Alyami, H. M., Alshuweishi, F. A., Al‐Sheikh, Y. A., & Alfhili, M. A. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13185650 · Cited by 2
Proposal and comparison of quality measures in Crawling Waves Sonoelastography
Merino, S., Romero, S. E., Caytano, A., Trujillo, H., & Castañeda, B. (2024) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc53108.2024.10782767 · Cited by 1
Liver fibrosis associated with more severe motor deficits in early Parkinson’s disease
Zolin, A., Ooi, H. Y., Zhou, M., Su, C., Wang, F., & Sarva, H. (2025) · Clinical Neurology and Neurosurgery · doi:10.1016/j.clineuro.2025.108861 · Cited by 1
The Effect of Exenatide on Platelets Ratio Index and Fibrosis‐4 Index in Obese Patients With Diabetes Mellitus
Sezer, G. E., & Mert, M. (2025) · International Journal of Endocrinology · doi:10.1155/ije/6332117 · Cited by 1
Magnetic Resonance Elastography of the Liver
Asrani, S. K., & Talwalkar, J. A. (2018) · Springer eBooks · doi:10.1007/978-3-319-72628-1_15 · Cited by 1
Liver stiffness in 10 patients with non-alcoholic fatty liver disease before and after luseogliflozin administration
Sato, T. (2018) · Kanzo · doi:10.2957/kanzo.59.554 · Cited by 1
Meta-analysis of diagnostic value of circulating microRNAs in hepatitis B-related fibrosis
Lu, Q., Chen, M., Wang, X., & Cao, S.-Q. (2019) · World Chinese Journal of Digestology · doi:10.11569/wcjd.v27.i22.1365 · Cited by 1
In search of the optimal management strategy for non‐alcoholic fatty liver disease in type 2 diabetes patients
Lee, C., Lui, D. T. W., & Lam, K. S. L. (2020) · Journal of Diabetes Investigation · doi:10.1111/jdi.13391 · Cited by 1
Evaluación de fibrosis en pacientes con enfermedad por hígado graso no alcohólico: adherencia a los algoritmos propuestos y barreras para cumplir con ellos
Marciano, S., Dirchwolf, M., Torres, M. C., Allevato, J. A., Dans, C. G., García, B., Pollarsky, F. D., Gaite, L., Sirotinsky, E., Velit-Rios, B., et al. (2021) · Revista de Gastroenterología de México · doi:10.1016/j.rgmx.2020.08.006 · Cited by 1
Hígado graso no alcohólico: certezas e incertidumbres de una epidemia silenciosa
Ballerga, E. G., Curia, A., & Cusi, K. J. (2020) · Acta gastroenteorológica latinoamericana/Acta gastroenterológica latinoamericana · doi:10.52787/zojs3069 · Cited by 2
Non-invasive Assessment of Non-alcoholic Fatty Liver Disease: Ultrasound and Transient Elastography
Wan, T., & Berzigotti, A. (2020) · Springer eBooks · doi:10.1007/978-3-030-37173-9_7 · Cited by 1
Hígado graso: Epidemiología, diagnóstico y tratamiento
Tagle, M. (2022) · Diagnóstico · doi:10.33734/diagnostico.v61i3.379
Hepatocellular carcinoma surveillance in non-alcoholic fatty liver disease patients
Truong, E., & Noureddin, M. (2022) · Hepatoma Research · doi:10.20517/2394-5079.2022.63 · Cited by 1
III. Imaging Diagnosis of Liver Cirrhosis
Iijima, H. (2022) · Nihon Naika Gakkai Zasshi · doi:10.2169/naika.111.22 · Cited by 1
Noninvasive diagnosis of nonalcoholic steatohepatitis: Emerging approaches
Pan, Q., & Fan, J. (2018) · Hepatobiliary & pancreatic diseases international · doi:10.1016/j.hbpd.2018.12.010 · Cited by 1
FIB-4 First in Diagnostic Algorithm of MAFLD at the Era of “Global Metabodemic “Preprint
Sumida, Y., Yoneda, M., Tokushige, K., Kawanaka, M., Fujii, H., Yoneda, M., Imajo, K., Takahashi, H., Eguchi, Y., Ono, M., et al. (2020) · Preprints.org · doi:10.20944/preprints202008.0417.v1 · Cited by 1
Reply to: “FIB-4 cut-off should be re-evaluated in patients with metabolic associated fatty liver disease (MAFLD)”
Tsochatzis, E. A., Srivastava, A., & Rosenberg, W. M. (2020) · Journal of Hepatology · doi:10.1016/j.jhep.2020.09.007 · Cited by 1
The role of magnetic resonance elastography in the evaluation of nonalcoholic fatty liver disease
İdilman, İ. S., & Karcaaltincaba, M. (2023) · Hepatology forum/Hepatology forum (Online) · doi:10.14744/hf.2023.2023.0004 · Cited by 1
Identification of individuals at risk of hepatocellular carcinoma: screening for clinically significant liver fibrosis in patients with T2DM
Reinson, T., Buchanan, R. M., & Byrne, C. D. (2023) · Expert Review of Endocrinology & Metabolism · doi:10.1080/17446651.2023.2248242 · Cited by 1
Evaluation of Nomenclature of Fatty Liver Disease in Association with Hepatocellular Carcinoma: A 15.5-Year Cohort Study in KoreaPreprint
Hoang, T., Lee, J., Kim, B. H., Cho, Y., & Kim, J. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4879244 · Cited by 1
The role of MRI in stratifying and evaluating chronic liver disease
Eddowes, P. J. (2018) · University of Birmingham Institutional Research Archive (University of Birmingham)
A promising non‑invasive index for predicting liver inflammation in chronic hepatitis B patients with alanine aminotransferase ≤2 upper limit of normal
Yu, X., Wen, X., Li, J., Zheng, Y., Long, J., Zhao, W., Jiang, P., Wu, J., Zhu, B., Jiang, Q., et al. (2018) · Experimental and Therapeutic Medicine · doi:10.3892/etm.2018.6751
Non-invasive biomarkers of fibrosis for the screening of patients with metabolic steatopathy (NAFLD) : a significant role for all biologists
Peoc’h, K., & Castéra, L. (2019) · Annales de biologie clinique · doi:10.1684/abc.2019.1428
Non-Invasive Characterization of Liver Disease : By Multimodal Quantitative Magnetic Resonance
Karlsson, M. (2019) · Linköping University medical dissertations · doi:10.3384/diss.diva-162653
Geographic regions with high prevalence of nonalcoholic steatohepatitis-related hepatic fibrosis are also observed to demonstrate high prevalence of metabolic disease risk factors and low consumption of fruits and vegetables
Wong, R. J., Tran, T. T., Kaufman, H. W., Niles, J. K., & Gish, R. G. (2020) · Clinical Nutrition Experimental · doi:10.1016/j.yclnex.2020.03.002
Comparison of Various Elastographic Techniques for Liver Fibrosis Assessment
Sporea, I. (2020) · Springer eBooks · doi:10.1007/978-3-030-40542-7_45
Non-invasive Diagnostic Approach to NASH: Biological Markers
Petta, S., & Giannetti, A. (2020) · Springer eBooks · doi:10.1007/978-3-319-95828-6_13
Quantitative liver surface nodularity score based on imaging for assessment of early cirrhosis in patients with chronic liver disease
He, Y., Yan, Y., & Zhang, S. (2021) · Medicine · doi:10.1097/md.0000000000023636
Relationship between Duffy Antigen Receptor for Chemokines and Clinical Characteristics in Han People with Chronic Hepatitis C Infection in Dalian, China
Shao, L., Zhou, S., & Liu, M. (2020) · Iranian Red Crescent Medical Journal · doi:10.32592/ircmj.2020.22.10.146
Diagnostic Performance of Two-dimensional Shear Wave Elastography in Advanced Liver Fibrosis: A Prospective Pathology-based StudyPreprint
Huang, Y., Wang, R., Yang, S., Lee, S., Tsai, H., & Lee, T. (2020) · Research Square · doi:10.21203/rs.3.rs-122956/v1
Effects of Ethanol Feeding in Early-Stage NAFLD Mice Induced by Western Diet
Brol, M. J., Georgiou, S., Rasmussen, D. N., Ortiz, C., Klein, S., Schierwagen, R., Uschner, F. E., Eberle, L., Detlefsen, S., Pantazopoulou, V. I., et al. (2021) · Livers · doi:10.3390/livers1010003
Recomendaciones en el tratamiento actual de la infección crónica por el virus de la hepatitis B
Escandón-Felizzola, V. D. (2020) · Hepatología · doi:10.52784/27112330.114
Evolving significance of liver pathology
Sakhuja, P. (2021) · Indian Journal of Pathology and Microbiology · doi:10.4103/ijpm.ijpm_363_21
La gestione della pandemia di NAFLD: il ruolo del diabetologo
Ilaria Barchetta, F. A. C. (2021) · il Diabete · doi:10.30682/ildia2102d
Biomarcatori clinici e molecolari per la diagnosi e la stadiazione della NAFLD
Alessandra Scamporrino, S. D. M. (2021) · il Diabete · doi:10.30682/ildia2102f
Potential Relationships Between NAFLD Fibrosis Score and Graft Status in Liver Transplant Patients
Kadri, H., Narayan, R. R., Wong, S., & Melcher, M. L. (2021) · Berkeley Scientific Journal · doi:10.5070/bs325254502
The Role of Transient Elastography in NAFLD
Pennisi, G., Giammanco, A., & Petta, S. (2021) · Springer eBooks · doi:10.1007/978-3-030-74132-7_5
Elastography Methods to Assess Chronic Liver Diseases: A Critical Comparison
Castéra, L. (2021) · Springer eBooks · doi:10.1007/978-3-030-74132-7_10
Diagnostic accuracy and limitations of non-invasive tests in patients with metabolic-associated fatty liver disease
Torrijos, Y. S., Valera, A. L., & Herrojo, J. A. (2021) · Revista Andaluza de Patología Digestiva · doi:10.37352/2021445.1
"Laboratory Based Non-Invasive Markers are Suboptimal in Detecting Advanced Fibrosis in Patients with Non-Alcoholic Steatohepatitis"
Li, N. (2021) · Biomedical Journal of Scientific & Technical Research · doi:10.26717/bjstr.2021.38.006105
Re-Print Non-Aspirin Nsaids Use is Associated with Lowering of Liver Fibrosis Scores in Patients with Fatty Liver Disease
Ogbu, I. R., Akhondi, H. A., Ayutyanont, N., & Manov, A. E. (2021) · Endocrinology and Disorders · doi:10.31579/2640-1045/071
Editöre mektup: “Laparoskopik sleeve gastrektomi sonrası morbid obez hastalarda akdeniz diyetinin etkinliği”
Kırık, A., Gürel, H., TÜREL, S., & Şen, H. (2021) · Ahi Evran Medical Journal · doi:10.46332/aemj.961389
Gadolinium-ethoxybenzyl-diethylenetriamine (Gd-EOB-DTPA)- enhanced magnetic resonance imaging with various enhancement ratios: a correlation with clinical assessment of liver function using the Child-Pugh scoring system
Wypchło, Ł., Jaskólski, J., Zarębska‐Michaluk, D., Stochmal, E., Stępień, P. M., & Cieszanowski, A. (2021) · Medical Studies · doi:10.5114/ms.2021.112382
An algorithm for the management of non-alcoholic fatty liver disease in primary care
Dinani, A. M., Sussman, N., Noureddin, M., Fuchs, M. A., Therapondos, G., Girgrah, N., Diaz, V. F., Mantry, P., Rinella, M. E., Asgharpour, A., et al. (2021) · Gastroenterology & Hepatology Open Access · doi:10.15406/ghoa.2021.12.00469
Enfermedad hepática grasa relacionada a trastornos metabólicos
Bardales-Silva, F. (2022) · Revista Médica Basadrina · doi:10.33326/26176068.2021.4.1259
Abstracts
Bourlière, M., & Pol, S. (2019) · Liver International · doi:10.1111/liv.14255
E-Manuscript Article Summaries
Current Oncology Editorial Office (2011) · Current Oncology · doi:10.3747/co.v18i2.897
Sex Differences in the Association Between Liver Fibrosis and Clinical Outcomes in Acute Cardioembolic Stroke Population With Nonvalvular Atrial FibrillationPreprint
Yang, L., Gao, K., Yao, X., Tang, Y., Yang, W., Huang, X., Gao, Y., & Zheng, X. (2021) · Research Square · doi:10.21203/rs.3.rs-255507/v1
Magnetic resonance elastography
Dzyubak, B., & Glaser, K. J. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-809661-1.00006-6
Reply
Tavaglione, F., Vincentis, A. D., Jamialahmadi, O., Gentilucci, U. V., & Romeo, S. (2022) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2022.06.008
Magnetic resonance imaging for the assessment of pathological hepatic findings in nonalcoholic fatty liver disease
Imajo, K., Honda, Y., Yoneda, M., Saito, S., & Nakajima, A. (2022) · Choonpa Igaku · doi:10.3179/jjmu.jjmu.r.203
Advances in ultrasound elastography for nonalcoholic fatty liver disease
Yoneda, M., Honda, Y., Nogami, A., Imajo, K., & Nakajima, A. (2022) · Choonpa Igaku · doi:10.3179/jjmu.jjmu.r.202
Diagnostik: Leberfettquantifizierung
Elshaarawy, O., Mueller, J. H., Straub, S., & Mueller, S. (2022) · Springer eBooks · doi:10.1007/978-3-662-62484-5_13
Diagnostik: Fibrosescores
Geier, A. (2022) · Springer eBooks · doi:10.1007/978-3-662-62484-5_15
Diagnostik: Elastometrie
Karlas, T. (2022) · Springer eBooks · doi:10.1007/978-3-662-62484-5_12
Analyze the Efficacy of the AST to Platelet Ratio (APRI) and the Fibronectin Fibrinolysis-4 (FIB-4) using Transient Elastography (FIB-SCAN) in Patients with Chronic Hepatitis C
Ullah, R., Raja, K., Hussain, S., Huma, Z., Mukhtar, F., & Rehman, K. U. (2022) · Pakistan Journal of Medical and Health Sciences · doi:10.53350/pjmhs22168400
Elastografie: Stellenwert im Gastrointestinaltrakt
Graf, C., & Friedrich‐Rust, M. (2022) · Gastroenterologie up2date · doi:10.1055/a-1810-5534
A Fully Automated Hybrid Approach to Assessing Liver Fibrosis and Necroinflammation on Conventional MRI: A Multi-Center Cohort StudyPreprint
Zha, J., Huang, S., Xia, T., Chen, Z., Zheng, T., Yu, Q., Zhou, J., Cao, P., Wang, Y., Tang, T., et al. (2022) · Research Square · doi:10.21203/rs.3.rs-2475668/v1
Will noninvasive screening for fibrosis/steatosis open Pandora’s box? Sharing the healthcare burden of state-of-the-art hepatology practice
Khorasani, S., Boike, J. R., & Duarte‐Rojo, A. (2023) · Hepatology · doi:10.1097/hep.0000000000000235
Technical acoustic measurements combined with clinical parameters for differential diagnosis of nonalcoholic steatohepatitisPreprint
Zhao, Y., Qiu, C., Dong, Y., Wang, X., Chen, J., Yao, J., Jiang, Y., Zhang, C., Weng, H., Liu, Y., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-2531715/v1
Noninvasive assessment of liver disease severity: image-related
Teh, K. K., Chang, J. P., & Goh, G. B. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-98368-6.00014-8
Efficacy and Safety of Pentoxifylline on Patients with Non-Alcoholic Steatohepatitis; Randomized Controlled TrialPreprint
Abomandour, A., Bakr, A. G., ElGhandour, A. M., Elewa, H., Rhman, M. A., & Zalat, Z. (2023) · Research Square · doi:10.21203/rs.3.rs-2551241/v1
Rapport 23-02. Le foie stéatosique non alcoolique : un défi de santé publique
Brissot, P., & Buffet, C. (2023) · Bulletin de l Académie Nationale de Médecine · doi:10.1016/j.banm.2023.03.014
To scan or not to scan: Use of transient elastography in an integrated health system
Stein, L., Mittal, R., Song, H., Chung, J., & Sahota, A. K. (2023) · World Journal of Hepatology · doi:10.4254/wjh.v15.i3.419
Can non-invasively detected liver fibrosis using serum-based scores really improve risk stratification in patients with acute coronary syndrome?
Steffen, H., Martin, A., Lang, S., & Kasper, P. (2023) · Clinical Research in Cardiology · doi:10.1007/s00392-023-02212-5
Predictors of Hepatic Fat Fraction Measured by Magnetic Resonance Imaging in Adults with Non-alcoholic Fatty Liver Disease
da Silva, D. G., Rodrigues, B. F. B., Brito, J. D. S., & Amato, A. A. (2023) · Journal of Digestive Diseases and Hepatology · doi:10.29011/2574-3511.100090
Hướng dẫn của Hiệp hội Nghiên cứu bệnh gan Châu Á Thái Bình Dương trong chẩn đoán và điều trị bệnh gan nhiễm mỡ liên quan chuyển hóa
Tuong, T. T. K., & Đăng, K. T. H. (2022) · Pham Ngoc Thach Journal of Medicine and Pharmacy · doi:10.59715/pntjmp.1.4.7
Prevalencia, severidad y costes asociados al diagnóstico de pacientes con esteatosis hepática metabólica (EHmet)
Cuadrado, N. M. (2021) · doi:10.35376/10324/59897
Estudio de la prevalencia y factores asociados a la Enfermedad por hígado graso no alcohólico en pacientes obesos mórbidos sometidos a Cirugía bariátrica
Sánchez, C. N. T. (2022) · UVaDOC UVaDOC University of Valladolid Documentary Repository (University of Valladolid) · doi:10.35376/10324/59942
"Postmenopausal Women with Dynapenia Have Higher Values of Fibrosis-4 Score Index"
Lambrinoudaki, I. V. (2023) · Biomedical Journal of Scientific & Technical Research · doi:10.26717/bjstr.2023.48.007729
Value of XGBoost machine learning model for diagnosis of hepatitis B cirrhosis
Li, J., Han, K.-X., Shen, J., Sun, W.-J., Gao, L., & Gao, Y.-F. (2023) · World Chinese Journal of Digestology · doi:10.11569/wcjd.v31.i13.544
Predictive Value of APRI and TyG in the Diagnosis of MAFLD and Its Fibrosis
王, 亚. (2023) · Advances in Clinical Medicine · doi:10.12677/acm.2023.1371601
NON-ALCOHOLIC FATTY LIVER DISEASE IN PATIENTS WITH TYPE 2 DIABETES: MODERN IMAGING MODALITIES
Babenko, A. Y., Laevskaya, M. Y., Робертовна, М. А., Николаевич, С. Ю., & Труфанов, Г. Е. (2023) · Translational Medicine · doi:10.18705/2311-4495-2023-10-2-146-153
Non-Alcoholic Fatty Liver Disease : Insights into Alcohol Consumption, Genetics, and Proteomics
Blomdahl, J. (2023) · Linköping University medical dissertations · doi:10.3384/9789180752923

Authors: Xiao, G., Zhu, S., Xiao, X., Yan, L., Yang, J., & Wu, G.
Affiliations: Huazhong University of Science and Technology (CN)
Tongji Hospital (CN)
Henan Medical University (CN)
Department of Liver Surgery,West China Hospital of Sichuan University,Chengdu,China
West China Hospital of Sichuan University (CN)
Corresponding author: Wu, Gang
ORCID: Xiao, Xiao
Yang, Jiayin
Wu, Gang
Venue: Hepatology
Publisher: Ovid Technologies (Wolters Kluwer Health)
Published: 2017-09-26
Volume: 66
Issue: 5
Pages: 1486-1501
ISSN: 0270-9139 (ISSN-L)
1527-3350
DOI: 10.1002/hep.29302
OpenAlex: W2622132351
Cited by: 895
References: 32
Citations by year: 2026: 68 · 2025: 85 · 2024: 109 · 2023: 118 · 2022: 142 · 2021: 147 · 2020: 117 · 2019: 62 · 2018: 38 · 2017: 7
FWCI: 47.96
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: onlinelibrary.wiley.com/termsAndConditions#vor (vor)
doi.wiley.com/10.1002/tdm_license_1.1 (tdm)
Locations: Hepatology (publishedVersion)
PubMed (publishedVersion)
Funders: National Natural Science Foundation of China (81600482, 81472201, 81172150)
Topics: Health Sciences › Medicine › Hepatology › Liver Disease Diagnosis and Treatment
Health Sciences › Medicine › Hepatology › Liver Disease and Transplantation
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Ultrasound Imaging and Elastography
Keywords: non-alcoholic fatty liver disease, liver fibrosis, noninvasive fibrosis assessment, APRI, FIB-4, NAFLD fibrosis score, BARD score, FibroScan, shear wave elastography, magnetic resonance elastography, liver cirrhosis, diagnostic accuracy, sensitivity and specificity, ultrasound elastography, liver stiffness, meta-regression
MeSH terms: China, Fibrosis, Humans, Liver, Liver Cirrhosis, Ultrasonography, Prevalence, Elasticity Imaging Techniques, Non-alcoholic Fatty Liver Disease

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Comparison of laboratory tests, ultrasound, or magnetic resonance elastography to detect fibrosis in patients with nonalcoholic fatty liver disease: a meta-analysis

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Related

Metadata

Record

About these checks