Literature DB >> 29722568

Liver fat imaging-a clinical overview of ultrasound, CT, and MR imaging.

Yingzhen N Zhang1, Kathryn J Fowler2, Gavin Hamilton1, Jennifer Y Cui1, Ethan Z Sy1, Michelle Balanay1, Jonathan C Hooker1, Nikolaus Szeverenyi1, Claude B Sirlin1.   

Abstract

Hepatic steatosis is a frequently encountered imaging finding that may indicate chronic liver disease, the most common of which is non-alcoholic fatty liver disease. Non-alcoholic fatty liver disease is implicated in the development of systemic diseases and its progressive phenotype, non-alcoholic steatohepatitis, leads to increased liver-specific morbidity and mortality. With the rising obesity epidemic and advent of novel therapeutics aimed at altering metabolism, there is a growing need to quantify and monitor liver steatosis. Imaging methods for assessing steatosis range from simple and qualitative to complex and highly accurate metrics. Ultrasound may be appropriate in some clinical instances as a screening modality to identify the presence of abnormal liver morphology. However, it lacks sufficient specificity and sensitivity to constitute a diagnostic modality for instigating and monitoring therapy. Newer ultrasound techniques such as quantitative ultrasound show promise in turning qualitative assessment of steatosis on conventional ultrasound into quantitative measurements. Conventional unenhanced CT is capable of detecting and quantifying moderate to severe steatosis but is inaccurate at diagnosing mild steatosis and involves the use of radiation. Newer CT techniques, like dual energy CT, show potential in expanding the role of CT in quantifying steatosis. MRI proton-density fat fraction is currently the most accurate and precise imaging biomarker to quantify liver steatosis. As such, proton-density fat fraction is the most appropriate noninvasive end point for steatosis reduction in clinical trials and therapy response assessment.

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Year:  2018        PMID: 29722568      PMCID: PMC6223150          DOI: 10.1259/bjr.20170959

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  84 in total

1.  Association of noninvasive quantitative decline in liver fat content on MRI with histologic response in nonalcoholic steatohepatitis.

Authors:  Janki Patel; Ricki Bettencourt; Jeffrey Cui; Joanie Salotti; Jonathan Hooker; Archana Bhatt; Carolyn Hernandez; Phirum Nguyen; Hamed Aryafar; Mark Valasek; William Haufe; Catherine Hooker; Lisa Richards; Claude B Sirlin; Rohit Loomba
Journal:  Therap Adv Gastroenterol       Date:  2016-07-05       Impact factor: 4.409

2.  Reproducibility of MRI-determined proton density fat fraction across two different MR scanner platforms.

Authors:  Geraldine H Kang; Irene Cruite; Masoud Shiehmorteza; Tanya Wolfson; Anthony C Gamst; Gavin Hamilton; Mark Bydder; Michael S Middleton; Claude B Sirlin
Journal:  J Magn Reson Imaging       Date:  2011-07-18       Impact factor: 4.813

3.  Prospective evaluation of the diagnostic accuracy of liver ultrasonography.

Authors:  J C Debongnie; C Pauls; M Fievez; E Wibin
Journal:  Gut       Date:  1981-02       Impact factor: 23.059

4.  Nonalcoholic steatohepatitis: a proposal for grading and staging the histological lesions.

Authors:  E M Brunt; C G Janney; A M Di Bisceglie; B A Neuschwander-Tetri; B R Bacon
Journal:  Am J Gastroenterol       Date:  1999-09       Impact factor: 10.864

5.  Accuracy of Liver Fat Quantification With Advanced CT, MRI, and Ultrasound Techniques: Prospective Comparison With MR Spectroscopy.

Authors:  Harald Kramer; Perry J Pickhardt; Mark A Kliewer; Diego Hernando; Guang-Hong Chen; James A Zagzebski; Scott B Reeder
Journal:  AJR Am J Roentgenol       Date:  2016-10-11       Impact factor: 3.959

6.  The diagnostic accuracy of US, CT, MRI and 1H-MRS for the evaluation of hepatic steatosis compared with liver biopsy: a meta-analysis.

Authors:  Anneloes E Bohte; Jochem R van Werven; Shandra Bipat; Jaap Stoker
Journal:  Eur Radiol       Date:  2010-07-31       Impact factor: 5.315

7.  Quantification of hepatic steatosis with dual-energy computed tomography: comparison with tissue reference standards and quantitative magnetic resonance imaging in the ob/ob mouse.

Authors:  Nathan S Artz; Catherine D G Hines; Stephen T Brunner; Rashmi M Agni; Jens-Peter Kühn; Alejandro Roldan-Alzate; Guang-Hong Chen; Scott B Reeder
Journal:  Invest Radiol       Date:  2012-10       Impact factor: 6.016

8.  Multimaterial Decomposition Algorithm for the Quantification of Liver Fat Content by Using Fast-Kilovolt-Peak Switching Dual-Energy CT: Experimental Validation.

Authors:  Tomoko Hyodo; Masatoshi Hori; Peter Lamb; Kosuke Sasaki; Tetsuya Wakayama; Yasutaka Chiba; Teruhito Mochizuki; Takamichi Murakami
Journal:  Radiology       Date:  2016-08-19       Impact factor: 11.105

Review 9.  Obesity and nonalcoholic fatty liver disease: biochemical, metabolic, and clinical implications.

Authors:  Elisa Fabbrini; Shelby Sullivan; Samuel Klein
Journal:  Hepatology       Date:  2010-02       Impact factor: 17.425

10.  Natural history of hepatic steatosis: observed outcomes for subsequent liver and cardiovascular complications.

Authors:  Perry J Pickhardt; Luke Hahn; Alejandro Muñoz del Rio; Seong Ho Park; Scott B Reeder; Adnan Said
Journal:  AJR Am J Roentgenol       Date:  2014-04       Impact factor: 3.959

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  31 in total

1.  The role of imaging in obesity special feature.

Authors:  Stuart A Taylor; Laura R Carucci
Journal:  Br J Radiol       Date:  2018-09       Impact factor: 3.039

2.  Automated measurement of liver attenuation to identify moderate-to-severe hepatic steatosis from chest CT scans.

Authors:  Artit Jirapatnakul; Anthony P Reeves; Sara Lewis; Xiangmeng Chen; Teng Ma; Rowena Yip; Xing Chin; Shuang Liu; Ponni V Perumalswami; David F Yankelevitz; Michael Crane; Andrea D Branch; Claudia I Henschke
Journal:  Eur J Radiol       Date:  2019-10-25       Impact factor: 3.528

3.  Noninvasive estimation of local speed of sound by pulse-echo ultrasound in a rat model of nonalcoholic fatty liver.

Authors:  Arsenii V Telichko; Rehman Ali; Thurston Brevett; Huaijun Wang; Jose G Vilches-Moure; Sukumar U Kumar; Ramasamy Paulmurugan; Jeremy J Dahl
Journal:  Phys Med Biol       Date:  2022-01-17       Impact factor: 3.609

Review 4.  Quantitative dual-energy CT techniques in the abdomen.

Authors:  Giuseppe V Toia; Achille Mileto; Carolyn L Wang; Dushyant V Sahani
Journal:  Abdom Radiol (NY)       Date:  2021-09-01

5.  Levels of abdominal adipose tissue and metabolic-associated fatty liver disease (MAFLD) in middle age according to average fast-food intake over the preceding 25 years: the CARDIA Study.

Authors:  Andrew O Odegaard; David R Jacobs; Lisa B Van Wagner; Mark A Pereira
Journal:  Am J Clin Nutr       Date:  2022-07-06       Impact factor: 8.472

6.  Body composition trajectories from birth to 5 years and hepatic fat in early childhood.

Authors:  Catherine C Cohen; Kylie K Harrall; Stephanie P Gilley; Wei Perng; Katherine A Sauder; Ann Scherzinger; Kartik Shankar; Shikha S Sundaram; Deborah H Glueck; Dana Dabelea
Journal:  Am J Clin Nutr       Date:  2022-10-06       Impact factor: 8.472

7.  Usefulness of fibrosis-4 (FIB-4) score and metabolic alterations in the prediction of SARS-CoV-2 severity.

Authors:  Rosa Lombardi; Vincenzo La Mura; Annalisa Cespiati; Federica Iuculano; Giordano Sigon; Giada Pallini; Marco Proietti; Irene Motta; Beatrice Montinaro; Elisa Fiorelli; Matteo Cesari; Alessandra Bandera; Luca Valenti; Flora Peyvandi; Nicola Montano; Marina Baldini; Anna Ludovica Fracanzani
Journal:  Intern Emerg Med       Date:  2022-06-26       Impact factor: 5.472

8.  Hepatic steatosis assessment using ultrasound homodyned-K parametric imaging: the effects of estimators.

Authors:  Zhuhuang Zhou; Qiyu Zhang; Weiwei Wu; Ying-Hsiu Lin; Dar-In Tai; Jeng-Hwei Tseng; Yi-Ru Lin; Shuicai Wu; Po-Hsiang Tsui
Journal:  Quant Imaging Med Surg       Date:  2019-12

9.  Machine learning enables new insights into genetic contributions to liver fat accumulation.

Authors:  Mary E Haas; James P Pirruccello; Samuel N Friedman; Minxian Wang; Connor A Emdin; Veeral H Ajmera; Tracey G Simon; Julian R Homburger; Xiuqing Guo; Matthew Budoff; Kathleen E Corey; Alicia Y Zhou; Anthony Philippakis; Patrick T Ellinor; Rohit Loomba; Puneet Batra; Amit V Khera
Journal:  Cell Genom       Date:  2021-12-08

10.  Quantitative multiparametric MRI allows safe surgical planning in patients undergoing liver resection for colorectal liver metastases: report of two patients.

Authors:  Pulkit Sethi; Navamayooran Thavanesan; Fenella Ks Welsh; John Connell; Elisabeth Pickles; Matt Kelly; Jonathan A Fallowfield; Timothy J Kendall; Damian J Mole; Myrddin Rees
Journal:  BJR Case Rep       Date:  2021-01-12
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