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For: Lurie Y, Webb M, Cytter-Kuint R, Shteingart S, Lederkremer GZ. Non-invasive diagnosis of liver fibrosis and cirrhosis. World J Gastroenterol 2015; 21(41): 11567-11583 [PMID: 26556987 DOI: 10.3748/wjg.v21.i41.11567] [Cited by in CrossRef: 165] [Cited by in F6Publishing: 177] [Article Influence: 20.6] [Reference Citation Analysis]
Number Citing Articles
1 Dasgupta T, Manickam V. Fibrosis in Liver and Pancreas: a Review on Pathogenic Significance, Diagnostic Options, and Current Management Strategies. Inflammation 2023. [PMID: 36595108 DOI: 10.1007/s10753-022-01776-0] [Reference Citation Analysis]
2 Wang D, Xu H, Fan L, Ruan W, Song Q, Diao H, He R, Jin Y. Hyperphosphorylation of EGFR/ERK signaling facilitates long-term arsenite-induced hepatocytes epithelial-mesenchymal transition and liver fibrosis in sprague-dawley rats. Ecotoxicol Environ Saf 2023;249:114386. [PMID: 36508792 DOI: 10.1016/j.ecoenv.2022.114386] [Reference Citation Analysis]
3 Tatoli R, Tirelli S, Lampignano L, Castellana F, Bortone I, Zupo R, Sborgia G, Lozupone M, Panza F, Giannelli G, Quaranta N, Boeing H, Sardone R. Liver Fibrosis and Hearing Loss in an Older Mediterranean Population: Results from the Salus in Apulia Study. J Clin Med 2022;11. [PMID: 36498787 DOI: 10.3390/jcm11237213] [Reference Citation Analysis]
4 Yang AH, Yardeni D, Hercun J, Kleiner DE, Ling A, Marko J, Heller T, Koh C. Shear wave elastography: How well does it perform in chronic hepatitis D virus infection? J Viral Hepat 2022;29:1127-33. [PMID: 36062402 DOI: 10.1111/jvh.13745] [Reference Citation Analysis]
5 Bae DJ, Yang ES, Park WS, Lee HK, Song JS, Kim T, Yoon K. Reproducibility of MRI-derived liver surface nodularity score: analysis of patients with repeated MRI in various scanners. Abdom Radiol 2022. [DOI: 10.1007/s00261-022-03744-6] [Reference Citation Analysis]
6 He X, Liu T, Zhang R, Li X, Sheikh N. Associations between Extracellular Matrix Protein 1 Gene Polymorphism and Progression of Liver Disease. Genetics Research 2022;2022:1-9. [DOI: 10.1155/2022/9304264] [Reference Citation Analysis]
7 Yuan M, Hu X, Yao L, Liu P, Jiang Y, Li L. Comprehensive bioinformatics and machine learning analysis identify VCAN as a novel biomarker of hepatitis B virus-related liver fibrosis. Front Mol Biosci 2022;9:1010160. [DOI: 10.3389/fmolb.2022.1010160] [Reference Citation Analysis]
8 Park HJ, Seo KI, Lee SU, Han BH, Yun BC, Park ET, Lee J, Hwang H, Yoon M. Clinical usefulness of Mac-2 binding protein glycosylation isomer for diagnosing liver cirrhosis and significant fibrosis in patients with chronic liver disease: A retrospective single-center study. Medicine (Baltimore) 2022;101:e30489. [PMID: 36221351 DOI: 10.1097/MD.0000000000030489] [Reference Citation Analysis]
9 Matthias Buechter, Guido Gerken. Liver Function—How to Screen and to Diagnose: Insights from Personal Experiences, Controlled Clinical Studies and Future Perspectives. J Pers Med 2022;12:1657. [PMID: 36294796 DOI: 10.3390/jpm12101657] [Reference Citation Analysis]
10 Li Y, Younis MH, Wang H, Zhang J, Cai W, Ni D. Spectral computed tomography with inorganic nanomaterials: State-of-the-art. Adv Drug Deliv Rev 2022;189:114524. [PMID: 36058350 DOI: 10.1016/j.addr.2022.114524] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
11 Chen Z, Ma Y, Cai J, Sun M, Zeng L, Wu F, Zhang Y, Hu M. Serum biomarkers for liver fibrosis. Clin Chim Acta 2022:S0009-8981(22)01320-1. [PMID: 36174721 DOI: 10.1016/j.cca.2022.09.022] [Reference Citation Analysis]
12 Wang C, Kao H, Lai K, Lin C, Lin W, Liu C, Chen T. Clinical and Metabolic Characteristics of Hyperuricemia with Risk of Liver Fibrosis: A Cross-Sectional Study. Metabolites 2022;12:893. [DOI: 10.3390/metabo12100893] [Reference Citation Analysis]
13 Han K, Tan K, Shen J, Gu Y, Wang Z, He J, Kang L, Sun W, Gao L, Gao Y. Machine learning models including insulin resistance indexes for predicting liver stiffness in United States population: Data from NHANES. Front Public Health 2022;10:1008794. [PMID: 36211651 DOI: 10.3389/fpubh.2022.1008794] [Reference Citation Analysis]
14 Rigamonti C, Cittone MG, Manfredi GF, Sorge A, Moia R, Patriarca A, Donato MF, Gaidano G, Pirisi M, Fraquelli M. High reproducibility of spleen stiffness measurement by vibration-controlled transient elastography with a spleen-dedicated module. Hepatol Commun 2022;6:3006-14. [PMID: 36082990 DOI: 10.1002/hep4.2070] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
15 Soares GA, Pereira GM, Romualdo GR, Biasotti GGA, Stoppa EG, Bakuzis AF, Baffa O, Barbisan LF, Miranda JRA. Biodistribution Profile of Magnetic Nanoparticles in Cirrhosis-Associated Hepatocarcinogenesis in Rats by AC Biosusceptometry. Pharmaceutics 2022;14:1907. [DOI: 10.3390/pharmaceutics14091907] [Reference Citation Analysis]
16 Toia GV, Mileto A, Wang CL, Sahani DV. Quantitative dual-energy CT techniques in the abdomen. Abdom Radiol (NY) 2022;47:3003-18. [PMID: 34468796 DOI: 10.1007/s00261-021-03266-7] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
17 Sonsuz A, Bakkaloglu OK. Biomarkers in Liver Disease. Biomarkers in Medicine 2022. [DOI: 10.2174/9789815040463122010020] [Reference Citation Analysis]
18 Zhu T, Lu XT, Liu ZY, Zhu HL. Dietary linoleic acid and the ratio of unsaturated to saturated fatty acids are inversely associated with significant liver fibrosis risk: A nationwide survey. Front Nutr 2022;9:938645. [PMID: 35958259 DOI: 10.3389/fnut.2022.938645] [Reference Citation Analysis]
19 Wang H, Sun R, Yang S, Ma X, Yu C. Association between serum ferritin level and the various stages of non-alcoholic fatty liver disease: A systematic review. Front Med 2022;9. [DOI: 10.3389/fmed.2022.934989] [Reference Citation Analysis]
20 Therkildsen R, Dahl EE, Schiødt FV. Hereditary hemochromatosis: data from a single center Copenhagen cohort. Scand J Gastroenterol 2022;57:972-7. [PMID: 35249441 DOI: 10.1080/00365521.2022.2042591] [Reference Citation Analysis]
21 Zhang S, Ji B, Zhong X, Zhong L, Yang L, Yang C. A Dynamic Nomogram Predicting Portal Vein Thrombosis in Cirrhotic Patients During Primary Prophylaxis for Variceal Hemorrhage. Front Med 2022;9:887995. [DOI: 10.3389/fmed.2022.887995] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
22 Garbuzenko DV. Principles of diagnosis and treatment of alcohol-induced liver fibrosis. Medicinskij sovet 2022. [DOI: 10.21518/2079-701x-2022-16-7-104-114] [Reference Citation Analysis]
23 Balachandran YL, Wang W, Yang H, Tong H, Wang L, Liu F, Chen H, Zhong K, Liu Y, Jiang X. Heterogeneous Iron Oxide/Dysprosium Oxide Nanoparticles Target Liver for Precise Magnetic Resonance Imaging of Liver Fibrosis. ACS Nano 2022;16:5647-59. [PMID: 35312295 DOI: 10.1021/acsnano.1c10618] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
24 Lin SH, Lin CY, Hsu NT, Yen YH, Kee KM, Wang JH, Hu TH, Chen CH, Hung CH, Chen CH, Hu JT, Huang YH, Wang TE, Lu SN. Reappraisal of the roles of alpha-fetoprotein in hepatocellular carcinoma surveillance using large-scale nationwide database and hospital-based information. J Formos Med Assoc 2022:S0929-6646(22)00144-9. [PMID: 35450743 DOI: 10.1016/j.jfma.2022.04.001] [Reference Citation Analysis]
25 Kim T, Noh S, Ree Kim Y, Lee C, Eon Kim J, Jeong C, Yoon K. Development and validation of a management system and dataset quality assessment tool for the Radiology Common Data Model (R_CDM): A case study in liver disease. International Journal of Medical Informatics 2022. [DOI: 10.1016/j.ijmedinf.2022.104759] [Reference Citation Analysis]
26 Yang L, Liu S, Zhang Q, Jia S, Qiu C, Jin Z. Overexpression of ascitic interleukin-35 induces CD8+ T cell exhaustion in liver cirrhotic patients with spontaneous bacterial peritonitis. Int Immunopharmacol 2022;108:108729. [PMID: 35349961 DOI: 10.1016/j.intimp.2022.108729] [Reference Citation Analysis]
27 Danis N, Salih Akarca U, Turan I, Karasu Z, Ersoz G, Yilmaz F, Nart D, Zeytinoglu A, Selda Erensoy M, Gunsar F. Predictive value of FibroScan in detecting liver fibrosis in HBeAg negative patients with chronic hepatitis B whose HBV DNA 2000-20000 IU/ml with ALT 1-2 times the upper limit of normal and those with HBV DNA >20000 IU/ml and normal ALT. North Clin Istanb 2021;8:568-74. [PMID: 35284786 DOI: 10.14744/nci.2021.35545] [Reference Citation Analysis]
28 Pasta A, Kayali S, Borro P. The study of hepatic fibrosis: state of art and future perspectives. Gazz Med Ital - Arch Sci Med 2021;180. [DOI: 10.23736/s0393-3660.21.04711-2] [Reference Citation Analysis]
29 Chantada-Vázquez MDP, Conde-Amboage M, Graña-López L, Vázquez-Estévez S, Bravo SB, Núñez C. Circulating Proteins Associated with Response and Resistance to Neoadjuvant Chemotherapy in HER2-Positive Breast Cancer. Cancers (Basel) 2022;14:1087. [PMID: 35205837 DOI: 10.3390/cancers14041087] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
30 Shiha G, Soliman R, Mikhail NNH, Alswat K, Abdo A, Sanai F, Derbala MF, Örmeci N, Dalekos GN, Al-Busafi S, Hamoudi W, Sharara AI, Zaky S, El-Raey F, Mabrouk M, Marzouk S, Toyoda H. Development and multicenter validation of FIB-6: A novel, machine learning, simple bedside score to rule out liver cirrhosis and compensated advanced chronic liver disease in patients with chronic hepatitis C. Hepatol Res 2022;52:165-75. [PMID: 34767312 DOI: 10.1111/hepr.13729] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
31 Zhu Z, Lv D, Zhang X, Wang SH, Zhu G. Deep Learning in the Classification of Stage of Liver Fibrosis in Chronic Hepatitis B with Magnetic Resonance ADC Images. Contrast Media Mol Imaging 2021;2021:2015780. [PMID: 35024010 DOI: 10.1155/2021/2015780] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
32 Llovet LP, Gratacós-Ginès J, Téllez L, Gómez-Outomuro A, Navascués CA, Riveiro-Barciela M, Vinuesa R, Gómez-Camarero J, García-Retortillo M, Díaz-Fontenla F, Salcedo M, García-Eliz M, Horta D, Guerrero M, Rodríguez-Perálvarez M, Fernández-Rodriguez C, Albillos A, G-Abraldes J, Parés A, Londoño MC. Noninvasive Prediction of Outcomes in Autoimmune Hepatitis-Related Cirrhosis. Hepatol Commun 2022. [PMID: 34989164 DOI: 10.1002/hep4.1889] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
33 Kulkarni AV, Anand AC. Non-invasive Tests, Portal Hypertension, and Beta-blockers: A Step Toward a Greener Environment! J Clin Exp Hepatol 2022;12:731-4. [PMID: 35677511 DOI: 10.1016/j.jceh.2022.03.011] [Reference Citation Analysis]
34 Wu Z, Wang J, Feng J, Ying L. MicroRNA-122-5p prevents proliferation and promotes apoptosis of hepatic stellate cells by suppressing the cellular-Abelsongene/histone deacetylases 2 pathway. Hum Exp Toxicol 2022;41:9603271221084672. [PMID: 35303413 DOI: 10.1177/09603271221084672] [Reference Citation Analysis]
35 丁 银. Research Progress on the Role of Iron Overload in Chronic Viral Hepatitis B. ACM 2022;12:1820-1825. [DOI: 10.12677/acm.2022.123262] [Reference Citation Analysis]
36 Wang Y, Chen B, Xiao C, Yu J, Bu X, Jiang F, Ding W, Ge Z. Effect of miR-183-5p on Cholestatic Liver Fibrosis by Regulating Fork Head Box Protein O1 Expression. Front Physiol 2021;12:737313. [PMID: 34867446 DOI: 10.3389/fphys.2021.737313] [Reference Citation Analysis]
37 Laroia ST, Vellore Srinivasan S, Yadav K, Rastogi A, Kumar S, Kumar G, Kumar M. Performance of shear wave elastography: A single centre pilot study of mixed etiology liver disease patients with normal BMI. Australas J Ultrasound Med 2021;24:120-36. [PMID: 34765422 DOI: 10.1002/ajum.12244] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
38 Zhang Y, Zhang Y, Liang H, Zhuo Z, Fan P, Chen Y, Zhang Z, Zhang W. Serum N-terminal DDR1: A Novel Diagnostic Marker of Liver Fibrosis Severity. J Clin Transl Hepatol 2021;9:702-10. [PMID: 34722185 DOI: 10.14218/JCTH.2021.00024] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
39 Toriguchi K, Miyashita S, Kawabata Y, Kurimoto A, Okuno M, Iwama H, Iida K, Okamoto T, Sueoka H, Tada M, Nakamura I, Fujimoto Y, Nishimura T, Iijima H, Hatano E. Liver stiffness measured by virtual touch quantification predicts the occurrence of posthepatectomy refractory ascites in patients with hepatocellular carcinoma. Surg Today 2021. [PMID: 34708306 DOI: 10.1007/s00595-021-02392-5] [Reference Citation Analysis]
40 Caruso M, Ricciardi C, Delli Paoli G, Di Dato F, Donisi L, Romeo V, Petretta M, Iorio R, Cesarelli G, Brunetti A, Maurea S. Machine Learning Evaluation of Biliary Atresia Patients to Predict Long-Term Outcome after the Kasai Procedure. Bioengineering (Basel) 2021;8:152. [PMID: 34821718 DOI: 10.3390/bioengineering8110152] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
41 Owojuyigbe OS, Larbie C, Firempong CK, Komlaga G, Emikpe BO, Oyagbemi AA. Hura crepitans stem bark extract: A potential remedy to sub-acute liver damage. J Ethnopharmacol 2021;284:114768. [PMID: 34688802 DOI: 10.1016/j.jep.2021.114768] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
42 Wang SH, Du J, Xu H, Yang D, Ye Y, Chen Y, Zhu Y, Ba T, Yuan C, Yang ZH. Automatic discrimination of different sequences and phases of liver MRI using a dense feature fusion neural network: a preliminary study. Abdom Radiol (NY) 2021;46:4576-87. [PMID: 34057565 DOI: 10.1007/s00261-021-03142-4] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
43 Du J, Shi J, Liu J, Deng C, Shen J, Wang Q. Hemodynamic analysis of hepatic arteries for the early evaluation of hepatic fibrosis in biliary atresia. Comput Methods Programs Biomed 2021;211:106400. [PMID: 34551379 DOI: 10.1016/j.cmpb.2021.106400] [Reference Citation Analysis]
44 Lin E, Zou B, Zeng G, Cai C, Li P, Chen J, Li D, Zhang B, Li J. The impact of liver fibrosis on microvascular invasion and prognosis of hepatocellular carcinoma with a solitary nodule: a Surveillance, Epidemiology, and End Results (SEER) database analysis. Ann Transl Med 2021;9:1310. [PMID: 34532447 DOI: 10.21037/atm-21-3731] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
45 Syed T, Chadha N, Kumar D, Gupta G, Sterling RK. Non-Invasive Assessment of Liver Fibrosis and Steatosis in End-Stage Renal Disease Patients Undergoing Renal Transplant Evaluation. Gastroenterology Res 2021;14:244-51. [PMID: 34527094 DOI: 10.14740/gr1445] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
46 Ajao S, Roach D, Chan KH, Thimmanagari K, Muhanna A, Mutyala M, Lakasanni S, Slim J. The Roles of Fibrosis Index Based on Four Factors and Aspartate Transaminase-to-Platelet Ratio Index Scoring Systems as an Alternative to Transient Elastography Liver Stiffness in Liver Fibrosis Staging in Human Immunodeficiency Virus and Hepatitis C Virus Co-Infected Patients. Gastroenterology Res 2021;14:209-13. [PMID: 34527089 DOI: 10.14740/gr1377] [Reference Citation Analysis]
47 Chang Y, Han JA, Kang SM, Jeong SW, Ryu T, Park HS, Yoo JJ, Lee SH, Kim SG, Kim YS, Kim HS, Jin SY, Ryu S, Jang JY. Clinical impact of serum exosomal microRNA in liver fibrosis. PLoS One 2021;16:e0255672. [PMID: 34506494 DOI: 10.1371/journal.pone.0255672] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
48 Atsukawa M, Tsubota A, Kondo C, Uchida-Kobayashi S, Takaguchi K, Tsutsui A, Nozaki A, Chuma M, Hidaka I, Ishikawa T, Iwasa M, Tamai Y, Tobari M, Matsuura K, Nagura Y, Abe H, Kato K, Suzuki K, Okubo T, Arai T, Itokawa N, Toyoda H, Enomoto M, Tamori A, Tanaka Y, Kawada N, Takei Y, Iwakiri K. A novel noninvasive formula for predicting cirrhosis in patients with chronic hepatitis C. PLoS One 2021;16:e0257166. [PMID: 34506563 DOI: 10.1371/journal.pone.0257166] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
49 Messner CJ, Schmidt S, Özkul D, Gaiser C, Terracciano L, Krähenbühl S, Suter-Dick L. Identification of miR-199a-5p, miR-214-3p and miR-99b-5p as Fibrosis-Specific Extracellular Biomarkers and Promoters of HSC Activation. Int J Mol Sci 2021;22:9799. [PMID: 34575957 DOI: 10.3390/ijms22189799] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
50 Song T, Huang D, Song D. The potential regulatory role of BMP9 in inflammatory responses. Genes & Diseases 2021. [DOI: 10.1016/j.gendis.2021.08.010] [Reference Citation Analysis]
51 Lagoutte P, Bettler E, Vadon-Le Goff S, Moali C. Procollagen C-proteinase enhancer-1 (PCPE-1), a potential biomarker and therapeutic target for fibrosis. Matrix Biol Plus 2021;11:100062. [PMID: 34435180 DOI: 10.1016/j.mbplus.2021.100062] [Cited by in Crossref: 9] [Cited by in F6Publishing: 3] [Article Influence: 4.5] [Reference Citation Analysis]
52 Shimizu T, Aoki T, Park KH, Matsumoto T, Shiraki T, Sakuraoka Y, Mori S, Iso Y, Ishizuka M, Kubota K. Volumetric assessment and clinical predictors of cirrhosis in patients undergoing hepatectomy for hepatocellular carcinoma with presumed normal liver function. Hepatol Int 2021;15:1258-67. [PMID: 34426889 DOI: 10.1007/s12072-021-10246-y] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
53 Li Y, Ma J, Li B, Zhu X, Wang J. Cirrhosis of Wilson's disease: High and low cutoff using acoustic radiation force impulse (ARFI) -Comparison and combination with serum fibrosis index. Clin Hemorheol Microcirc 2021. [PMID: 34334385 DOI: 10.3233/CH-211219] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
54 Fujita K, Masaki T. Serum Biomarkers of Liver Fibrosis Staging in the Era of the Concept "Compensated Advanced Chronic Liver Disease". J Clin Med 2021;10:3340. [PMID: 34362121 DOI: 10.3390/jcm10153340] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
55 Wang D, Zhan X, Wu R, You Y, Chen W, Duan L. Assessment of Pyroptosis-Related Indicators as Potential Biomarkers and Their Association with Severity in Patients with Liver Cirrhosis. J Inflamm Res 2021;14:3185-96. [PMID: 34285542 DOI: 10.2147/JIR.S319213] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
56 Kesimal U, Öztürk Durmaz Ş. Kronik Hepatit B Hastalarında Non-invaziv Fibrozis Skorlama Yöntemlerinin Karaciğer Biyopsisi ile Karşılaştırılması. Akdeniz Medical Journal 2021;7:283-288. [DOI: 10.53394/akd.959578] [Reference Citation Analysis]
57 Nishikawa H, Yoh K, Enomoto H, Iwata Y, Sakai Y, Kishino K, Shimono Y, Ikeda N, Takashima T, Aizawa N, Takata R, Hasegawa K, Koriyama T, Yuri Y, Nishimura T, Nishiguchi S, Iijima H. Sarcopenia and Frailty in Chronic Liver Damage: Common and Different Points. In Vivo 2020;34:2549-59. [PMID: 32871784 DOI: 10.21873/invivo.12072] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
58 Nishikawa H, Yoh K, Enomoto H, Iwata Y, Sakai Y, Kishino K, Shimono Y, Ikeda N, Takashima T, Aizawa N, Takata R, Hasegawa K, Koriyama T, Yuri Y, Nishimura T, Nishiguchi S, Iijima H. Calf Circumference as a Useful Predictor of Sarcopenia in Patients With Liver Diseases. In Vivo. 2020;34:2561-2569. [PMID: 32871785 DOI: 10.21873/invivo.12073] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
59 Neuberger J, Cain O. The Need for Alternatives to Liver Biopsies: Non-Invasive Analytics and Diagnostics. Hepat Med 2021;13:59-69. [PMID: 34163263 DOI: 10.2147/HMER.S278076] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
60 Wang Q, Sheng Y, Du Y, Liu H, Zhu Z, Li Y, Zhang J, Xing W. Gd-EOB-DTPA T1 Mapping with Extracellular Volume Fraction in Staging Liver Fibrosis: A Preclinical Investigation. Appl Magn Reson 2021;52:677-689. [DOI: 10.1007/s00723-021-01337-y] [Reference Citation Analysis]
61 Wu S, Meng X, Jiang X, Wu Y, Zhai S, Wang X, Liu Y, Zhang J, Zhao X, Zhou Y, Bu W, Yao Z. Harnessing X-Ray Energy-Dependent Attenuation of Bismuth-Based Nanoprobes for Accurate Diagnosis of Liver Fibrosis. Adv Sci (Weinh) 2021;8:e2002548. [PMID: 34105274 DOI: 10.1002/advs.202002548] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
62 Gong X, Wang X, Zhou F. Liver microRNA-29b-3p positively correlates with relative enhancement values of magnetic resonance imaging and represses liver fibrosis. J Biochem 2020;168:603-9. [PMID: 32653922 DOI: 10.1093/jb/mvaa074] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
63 Perez I, Bolte FJ, Bigelow W, Dickson Z, Shah NL. Step by Step: Managing the Complications of Cirrhosis. Hepat Med 2021;13:45-57. [PMID: 34079394 DOI: 10.2147/HMER.S278032] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
64 Yin Y, Yakar D, Dierckx RAJO, Mouridsen KB, Kwee TC, de Haas RJ. Liver fibrosis staging by deep learning: a visual-based explanation of diagnostic decisions of the model. Eur Radiol 2021. [PMID: 34014382 DOI: 10.1007/s00330-021-08046-x] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
65 Hashem A, Awad A, Shousha H, Alakel W, Salama A, Awad T, Mabrouk M. Validation of a machine learning approach using FIB-4 and APRI scores assessed by the metavir scoring system: A cohort study. Arab J Gastroenterol 2021;22:88-92. [PMID: 33985905 DOI: 10.1016/j.ajg.2021.04.003] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
66 Peng W, Cheng S, Bao Z, Wang Y, Zhou W, Wang J, Yang Q, Chen C, Wang W. Advances in the research of nanodrug delivery system for targeted treatment of liver fibrosis. Biomedicine & Pharmacotherapy 2021;137:111342. [DOI: 10.1016/j.biopha.2021.111342] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 3.5] [Reference Citation Analysis]
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