亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

A New Era for Quantitative MRI Biomarkers of the Liver: A Challenge and Opportunity for the Radiology Community

医学 非酒精性脂肪肝 内科学 肝硬化 肝移植 肝病学 肝病 脂肪肝 胃肠病学 疾病 移植
作者
Claude B. Sirlin,Scott B. Reeder
出处
期刊:Radiology [Radiological Society of North America]
卷期号:313 (3) 被引量:1
标识
DOI:10.1148/radiol.241876
摘要

HomeRadiologyVol. 313, No. 3 PreviousNext Reviews and CommentaryEditorialA New Era for Quantitative MRI Biomarkers of the Liver: A Challenge and Opportunity for the Radiology CommunityClaude B. Sirlin, Scott B. Reeder Claude B. Sirlin, Scott B. Reeder Author AffiliationsFrom the Department of Radiology, Liver Imaging Group, University of California San Diego, San Diego, Calif (C.B.S.); and Departments of Radiology, Medical Physics, Biomedical Engineering, Medicine, and Emergency Medicine, University of Wisconsin, 600 Highland Ave, E3/366, Madison, WI 53792 (S.B.R.).Address correspondence to S.B.R. (email: [email protected]).Claude B. SirlinScott B. Reeder Published Online:Dec 3 2024https://doi.org/10.1148/radiol.241876MoreSectionsFull textPDF ToolsAdd to favoritesCiteTrack CitationsPermissionsReprints ShareShare onFacebookXLinked In References1. FDA Approves First Treatment for Patients with Liver Scarring Due to Fatty Liver Disease. U.S. Food & Drug Administration. https://www.fda.gov/news-events/press-announcements/fda-approves-first-treatment-patients-liver-scarring-due-fatty-liver-disease. Posted March 14, 2024. Accessed June 17, 2024. Google Scholar2. Younossi ZM, Golabi P, Paik JM, Henry A, Van Dongen C, Henry L. The global epidemiology of nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH): a systematic review. Hepatology 2023;77(4):1335–1347. Medline Google Scholar3. van den Berg EH, Douwes RM, de Meijer VE, Schreuder TCMA, Blokzijl H. Liver transplantation for NASH cirrhosis is not performed at the expense of major post-operative morbidity. Dig Liver Dis 2018;50(1):68–75. Medline Google Scholar4. Huang DQ, Singal AG, Kono Y, Tan DJH, El-Serag HB, Loomba R. Changing global epidemiology of liver cancer from 2010 to 2019: NASH is the fastest growing cause of liver cancer. Cell Metab 2022;34(7):969–977.e2. Medline Google Scholar5. Estes C, Razavi H, Loomba R, Younossi Z, Sanyal AJ. Modeling the epidemic of nonalcoholic fatty liver disease demonstrates an exponential increase in burden of disease. Hepatology 2018;67(1):123–133. Medline Google Scholar6. Ma J, Hwang S-J, Pedley A, et al. Bi-directional analysis between fatty liver and cardiovascular disease risk factors. J Hepatol 2017;66(2):390–397. Medline Google Scholar7. Harrison SA, Bedossa P, Guy CD, et al; MAESTRO-NASH Investigators. A Phase 3, Randomized, Controlled Trial of Resmetirom in NASH with Liver Fibrosis. N Engl J Med 2024;390(6):497–509. Medline Google Scholar8. Younossi ZM, Koenig AB, Abdelatif D, Fazel Y, Henry L, Wymer M. Global epidemiology of nonalcoholic fatty liver disease-Meta-analytic assessment of prevalence, incidence, and outcomes. Hepatology 2016;64(1):73–84. Medline Google Scholar9. Harrison SA, Bashir MR, Guy CD, et al. Resmetirom (MGL-3196) for the treatment of non-alcoholic steatohepatitis: a multicentre, randomised, double-blind, placebo-controlled, phase 2 trial. Lancet 2019;394(10213):2012–2024. Medline Google Scholar10. Reeder SB, Hu HH, Sirlin CB. Proton density fat-fraction: a standardized MR-based biomarker of tissue fat concentration. J Magn Reson Imaging 2012;36(5):1011–1014. Medline Google Scholar11. Reeder SB, Cruite I, Hamilton G, Sirlin CB. Quantitative Assessment of Liver Fat with Magnetic Resonance Imaging and Spectroscopy. J Magn Reson Imaging 2011;34(4):729–749. Medline Google Scholar12. Meisamy S, Hines CDG, Hamilton G, et al. Quantification of hepatic steatosis with T1-independent, T2-corrected MR imaging with spectral modeling of fat: blinded comparison with MR spectroscopy. Radiology 2011;258(3):767–775. Google Scholar13. Yokoo T, Shiehmorteza M, Hamilton G, et al. Estimation of hepatic proton-density fat fraction by using MR imaging at 3.0 T. Radiology 2011;258(3):749–759. Google Scholar14. Noureddin M, Lam J, Peterson MR, et al. Utility of magnetic resonance imaging versus histology for quantifying changes in liver fat in nonalcoholic fatty liver disease trials. Hepatology 2013;58(6):1930–1940. Medline Google Scholar15. Caussy C, Reeder SB, Sirlin CB, Loomba R. Noninvasive, Quantitative Assessment of Liver Fat by MRI-PDFF as an Endpoint in NASH Trials. Hepatology 2018;68(2):763–772. Medline Google Scholar16. Fowler KJ, Venkatesh SK, Obuchowski N, et al. Repeatability of MRI Biomarkers in Nonalcoholic Fatty Liver Disease: The NIMBLE Consortium. Radiology 2023;309(1):e231092. Google Scholar17. Yokoo T, Serai SD, Pirasteh A, et al; RSNA-QIBA PDFF Biomarker Committee. Linearity, Bias, and Precision of Hepatic Proton Density Fat Fraction Measurements by Using MR Imaging: A Meta-Analysis. Radiology 2018;286(2):486–498. Google Scholar18. Hernando D, Sharma SD, Aliyari Ghasabeh M, et al. Multisite, multivendor validation of the accuracy and reproducibility of proton-density fat-fraction quantification at 1.5T and 3T using a fat-water phantom. Magn Reson Med 2017;77(4):1516–1524. Medline Google Scholar19. Yu H, Shimakawa A, McKenzie CA, Brodsky E, Brittain JH, Reeder SB. Multiecho water-fat separation and simultaneous R2* estimation with multifrequency fat spectrum modeling. Magn Reson Med 2008;60(5):1122–1134. Medline Google Scholar20. Yokoo T, Bydder M, Hamilton G, et al. Nonalcoholic fatty liver disease: diagnostic and fat-grading accuracy of low-flip-angle multiecho gradient-recalled-echo MR imaging at 1.5 T. Radiology 2009;251(1):67–76. Google Scholar21. Wang K, Cunha GM, Hasenstab K, et al. Deep Learning for Inference of Hepatic Proton Density Fat Fraction From T1-Weighted In-Phase and Opposed-Phase MRI: Retrospective Analysis of Population-Based Trial Data. AJR Am J Roentgenol 2023;221(5):620–631. Medline Google Scholar22. Selvaraj EA, Mózes FE, Jayaswal ANA, et al; LITMUS Investigators. Diagnostic accuracy of elastography and magnetic resonance imaging in patients with NAFLD: A systematic review and meta-analysis. J Hepatol 2021;75(4):770–785. Medline Google Scholar23. Pierce T, Ozturk A, Sherlock S, et al. Reproducibility and Repeatability of Shear-Wave and Transient Elastography in Nonalcoholic Fatty Liver Disease: A Prospective Study. Radiology 2024;312(3):e233094. Google Scholar24. Duarte-Rojo A, Taouli B, Leung DH, et al. Imaging-based noninvasive liver disease assessment for staging liver fibrosis in chronic liver disease: A systematic review supporting the AASLD Practice Guideline. Hepatology 2024. 10.1097/HEP.0000000000000852. Published online March 15, 2024. Google Scholar25. Yin M, Ehman RLMR. MR Elastography: Practical Questions, From the AJR Special Series on Imaging of Fibrosis. AJR Am J Roentgenol 2024;222(1):e2329437. Medline Google Scholar26. Zhang YN, Fowler KJ, Boehringer AS, et al. Comparative diagnostic performance of ultrasound shear wave elastography and magnetic resonance elastography for classifying fibrosis stage in adults with biopsy-proven nonalcoholic fatty liver disease. Eur Radiol 2022;32(4):2457–2469. Medline Google Scholar27. Resmetirom Prior Authorization with Quantity Limit Program Summary. Blue Cross and Blue Shield of Minnesota. https://mn-policies.exploremyplan.com/portal/web/mn-policies/home/-/asset_publisher/gvKEs0SDu27L/content/ph-1215/78515. Published 2024. Accessed June 17, 2024. Google Scholar28. Rezdiffra (resmetirom). - Prior Authorization/Medical Necessity. UnitedHealthcare Commercial Plans. https://www.uhcprovider.com/content/dam/provider/docs/public/prior-auth/drugs-pharmacy/commercial/r-z/PA-Med-Nec-Rezdiffra.pdf. Published 2024. Accessed June 17, 2024. Google Scholar29. Noureddin M, Truong E, Gornbein JA, et al. MRI-based (MAST) score accurately identifies patients with NASH and significant fibrosis. J Hepatol 2022;76(4):781–787. Medline Google Scholar30. Jung J, Loomba RR, Imajo K, et al. MRE combined with FIB-4 (MEFIB) index in detection of candidates for pharmacological treatment of NASH-related fibrosis. Gut 2021;70(10):1946–1953. Medline Google Scholar31. AASLD-IDSA HCV Guidance Panel. Hepatitis C Guidance 2018 Update: AASLD-IDSA Recommendations for Testing, Managing, and Treating Hepatitis C Virus Infection. Clin Infect Dis 2018;67(10):1477–1492. Medline Google Scholar32. Garrison LP Jr, Jiao B, Elsisi Z, et al. Estimating the Allocation of the Economic Value Generated by Utilization of All-Oral Direct-Acting Antivirals for Hepatitis C in the United States, 2015 to 2019. Value Health 2024;27(8):1021–1029. Medline Google Scholar33. Pooler BD, Hernando D, Reeder SB. Clinical Implementation of a Focused MRI Protocol for Hepatic Fat and Iron Quantification. AJR Am J Roentgenol 2019;213(1):90–95. Medline Google Scholar34. CMS.gov Physician Fee Schedule. Centers for Medicare & Medicaid Services. https://www.cms.gov/medicare/physician-fee-schedule/search. Accessed June 17, 2024. Google Scholar35. Hu HH, Yokoo T, Bashir MR, et al; RSNA Quantitative Imaging Biomarkers Alliance PDFF Biomarker Committee. Linearity and Bias of Proton Density Fat Fraction as a Quantitative Imaging Biomarker: A Multicenter, Multiplatform, Multivendor Phantom Study. Radiology 2021;298(3):640–651. Google Scholar36. Zhao R, Zhang Y, Wang X, et al. Motion-robust, high-SNR liver fat quantification using a 2D sequential acquisition with a variable flip angle approach. Magn Reson Med 2020;84(4):2004–2017. Medline Google Scholar37. Armstrong T, Zhong X, Shih S-F, et al. Free-breathing 3D stack-of-radial MRI quantification of liver fat and R2* in adults with fatty liver disease. Magn Reson Imaging 2022;85:141–152. Medline Google Scholar38. Colgan TJ, Zhao R, Roberts NT, Hernando D, Reeder SB. Limits of Fat Quantification in the Presence of Iron Overload. J Magn Reson Imaging 2021;54(4):1166–1174. [Published correction appears in J Magn Reson Imaging 2022;55(6):1910.] Medline Google Scholar39. Tamada D, van der Heijden RA, Weaver J, Hernando D, Reeder SB. Confidence maps for reliable estimation of proton density fat fraction and R2* in the liver. Magn Reson Med 2024;91(5):2172–2187. Medline Google Scholar40. Campo CA, Hernando D, Schubert T, Bookwalter CA, Pay AJV, Reeder SB. Standardized Approach for ROI-Based Measurements of Proton Density Fat Fraction and R2* in the Liver. AJR Am J Roentgenol 2017;209(3):592–603. Medline Google Scholar41. Zhong X, Nickel MD, Kannengiesser SAR, Dale BM, Kiefer B, Bashir MR. Liver fat quantification using a multi-step adaptive fitting approach with multi-echo GRE imaging. Magn Reson Med 2014;72(5):1353–1365. Medline Google Scholar42. Wang K, Mamidipalli A, Retson T, et al; members of the NASH Clinical Research Network. Automated CT and MRI Liver Segmentation and Biometry Using a Generalized Convolutional Neural Network. Radiol Artif Intell 2019;1(2):180022. Google Scholar43. Dzyubak B, Li J, Chen J, et al. Automated Analysis of Multiparametric Magnetic Resonance Imaging/Magnetic Resonance Elastography Exams for Prediction of Nonalcoholic Steatohepatitis. J Magn Reson Imaging 2021;54(1):122–131. Medline Google Scholar44. Cunha GM, Delgado TI, Middleton MS, et al. Automated CNN-Based Analysis Versus Manual Analysis for MR Elastography in Nonalcoholic Fatty Liver Disease: Intermethod Agreement and Fibrosis Stage Discriminative Performance. AJR Am J Roentgenol 2022;219(2):224–232. Medline Google Scholar45. MRI-Based Proton Density Fat Fraction (PDFF) of the Liver. Quantitative Imaging Biomarkers Alliance. Profile Stage: Consensus. Maintenance version. QIBA Proton Density Fat Fraction Biomarker Committee. https://qibawiki.rsna.org/images/6/63/MRI-Based_PDFF_of_the_Liver_QIBA_Profile_2024_06-19_CONSENSUS-maintenance.pdf. Posted June 19, 2024. Accessed October 1, 2024. Google Scholar46. MR Elastography of the Liver. Quantitative Imaging Biomarkers Alliance. Profile Stage: Clinically Feasible. Maintenance version. QIBA MR Biomarker Committee. https://qibawiki.rsna.org/index.php/MR_Elastography_of_the_Liver,_Clinically_Feasible_Profile. Posted November 7, 2023. Accessed October 1, 2024. Google Scholar47. Guglielmo FF, Barr RG, Yokoo T, et al. Liver Fibrosis, Fat, and Iron Evaluation with MRI and Fibrosis and Fat Evaluation with US: A Practical Guide for Radiologists. RadioGraphics 2023;43(6):e220181. Google Scholar48. Starekova J, Zhao R, Colgan TJ, et al. Improved free-breathing liver fat and iron quantification using a 2D chemical shift-encoded MRI with flip angle modulation and motion-corrected averaging. Eur Radiol 2022;32(8):5458–5467. Medline Google ScholarArticle HistoryReceived: June 26 2024Revision requested: July 15 2024Revision received: Oct 1 2024Accepted: Oct 7 2024Published online: Dec 03 2024 FiguresReferencesRelatedDetails Vol. 313, No. 3 Metrics Altmetric Score PDF download
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
LL发布了新的文献求助10
1秒前
量子星尘发布了新的文献求助10
1秒前
5秒前
NSC完成签到 ,获得积分10
7秒前
xgj发布了新的文献求助30
7秒前
小象腿发布了新的文献求助10
9秒前
NSC关注了科研通微信公众号
10秒前
zoezoezoe完成签到,获得积分10
18秒前
yyds举报明明明求助涉嫌违规
18秒前
cen完成签到,获得积分10
20秒前
21秒前
orixero应助xgj采纳,获得10
23秒前
25秒前
在水一方应助loricae2005采纳,获得10
32秒前
Owen应助感动的薄荷采纳,获得30
34秒前
35秒前
钟薛菘发布了新的文献求助10
37秒前
在水一方应助醒醒采纳,获得30
40秒前
57秒前
钟薛菘完成签到,获得积分20
1分钟前
aura完成签到 ,获得积分10
1分钟前
1分钟前
量子星尘发布了新的文献求助10
1分钟前
loricae2005发布了新的文献求助10
1分钟前
捉迷藏完成签到,获得积分0
1分钟前
1分钟前
任性的雁开完成签到,获得积分10
1分钟前
留长发的耳机完成签到,获得积分10
1分钟前
gexzygg应助科研通管家采纳,获得10
1分钟前
1分钟前
小蘑菇应助科研通管家采纳,获得10
1分钟前
香蕉觅云应助科研通管家采纳,获得10
1分钟前
赘婿应助科研通管家采纳,获得10
1分钟前
1分钟前
uikymh完成签到 ,获得积分0
1分钟前
1分钟前
jjjj完成签到,获得积分10
1分钟前
韩佃晖完成签到,获得积分20
1分钟前
我是老大应助gyd采纳,获得10
1分钟前
1分钟前
高分求助中
(应助此贴封号)【重要!!请各位详细阅读】【科研通的精品贴汇总】 10000
Organic Chemistry 1500
The Netter Collection of Medical Illustrations: Digestive System, Volume 9, Part III - Liver, Biliary Tract, and Pancreas (3rd Edition) 600
塔里木盆地肖尔布拉克组微生物岩沉积层序与储层成因 500
Introducing Sociology Using the Stuff of Everyday Life 400
Conjugated Polymers: Synthesis & Design 400
Picture Books with Same-sex Parented Families: Unintentional Censorship 380
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4269469
求助须知:如何正确求助?哪些是违规求助? 3800263
关于积分的说明 11910509
捐赠科研通 3447233
什么是DOI,文献DOI怎么找? 1890903
邀请新用户注册赠送积分活动 941645
科研通“疑难数据库(出版商)”最低求助积分说明 845770