Literature DB >> 29176468

Fat Quantification in the Abdomen.

Cheng William Hong1, Soudabeh Fazeli Dehkordy, Jonathan C Hooker, Gavin Hamilton, Claude B Sirlin.   

Abstract

Fatty liver disease is characterized histologically by hepatic steatosis, the abnormal accumulation of lipid in hepatocytes. It is classified into alcoholic fatty liver disease and nonalcoholic fatty liver disease, and is an increasingly important cause of chronic liver disease and cirrhosis. Assessing the severity of hepatic steatosis in these conditions is important for diagnostic and prognostic purposes, as hepatic steatosis is potentially reversible if diagnosed early. The criterion standard for assessing hepatic steatosis is liver biopsy, which is limited by sampling error, its invasive nature, and associated morbidity. As such, noninvasive imaging-based methods of assessing hepatic steatosis are needed. Ultrasound and computed tomography are able to suggest the presence of hepatic steatosis based on imaging features, but are unable to accurately quantify hepatic fat content. Since Dixon's seminal work in 1984, magnetic resonance imaging has been used to compute the signal fat fraction from chemical shift-encoded imaging, commonly implemented as out-of-phase and in-phase imaging. However, signal fat fraction is confounded by several factors that limit its accuracy and reproducibility. Recently, advanced chemical shift-encoded magnetic resonance imaging methods have been developed that address these confounders and are able to measure the proton density fat fraction, a standardized, accurate, and reproducible biomarker of fat content. The use of these methods in the liver, as well as in other abdominal organs such as the pancreas, adrenal glands, and adipose tissue will be discussed in this review.

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Year:  2017        PMID: 29176468      PMCID: PMC5749935          DOI: 10.1097/RMR.0000000000000141

Source DB:  PubMed          Journal:  Top Magn Reson Imaging        ISSN: 0899-3459


  84 in total

1.  Adrenal masses: quantification of fat content with double-echo chemical shift in-phase and opposed-phase FLASH MR images for differentiation of adrenal adenomas.

Authors:  T Namimoto; Y Yamashita; K Mitsuzaki; Y Nakayama; O Makita; M Kadota; M Takahashi
Journal:  Radiology       Date:  2001-03       Impact factor: 11.105

2.  Magnetic resonance spectroscopy to measure hepatic triglyceride content: prevalence of hepatic steatosis in the general population.

Authors:  Lidia S Szczepaniak; Pamela Nurenberg; David Leonard; Jeffrey D Browning; Jason S Reingold; Scott Grundy; Helen H Hobbs; Robert L Dobbins
Journal:  Am J Physiol Endocrinol Metab       Date:  2004-08-31       Impact factor: 4.310

3.  Rapid automated measurement of body fat distribution from whole-body MRI.

Authors:  Darren D Brennan; Paul F Whelan; Kevin Robinson; Ovidiu Ghita; Julie M O'Brien; Robert Sadleir; Stephen J Eustace
Journal:  AJR Am J Roentgenol       Date:  2005-08       Impact factor: 3.959

4.  Iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL): application with fast spin-echo imaging.

Authors:  Scott B Reeder; Angel R Pineda; Zhifei Wen; Ann Shimakawa; Huanzhou Yu; Jean H Brittain; Garry E Gold; Christopher H Beaulieu; Norbert J Pelc
Journal:  Magn Reson Med       Date:  2005-09       Impact factor: 4.668

5.  Hepatic MRI for fat quantitation: its relationship to fat morphology, diagnosis, and ultrasound.

Authors:  Mark Fishbein; Fernando Castro; Sailaja Cheruku; Shaily Jain; Brian Webb; Theodore Gleason; W Ross Stevens
Journal:  J Clin Gastroenterol       Date:  2005-08       Impact factor: 3.062

6.  Discriminatory power of MRI for differentiation of adrenal non-adenomas vs adenomas evaluated by means of ROC analysis: can biopsy be obviated?

Authors:  R Z Slapa; W Jakubowski; A Januszewicz; A A Kasperlik-Zaluska; E Dabrowska; J Fijuth; T Feltynowski; R Tarnawski; L Królicki
Journal:  Eur Radiol       Date:  2000       Impact factor: 5.315

7.  Obesity and fat quantification in lean tissues using three-point Dixon MR imaging.

Authors:  Arzu Kovanlikaya; Steven D Mittelman; Andrette Ward; Mitchell E Geffner; Frederick Dorey; Vicente Gilsanz
Journal:  Pediatr Radiol       Date:  2005-03-23

8.  Prevalence of hepatic steatosis in an urban population in the United States: impact of ethnicity.

Authors:  Jeffrey D Browning; Lidia S Szczepaniak; Robert Dobbins; Pamela Nuremberg; Jay D Horton; Jonathan C Cohen; Scott M Grundy; Helen H Hobbs
Journal:  Hepatology       Date:  2004-12       Impact factor: 17.425

9.  Macrovesicular hepatic steatosis in living related liver donors: correlation between CT and histologic findings.

Authors:  Piyaporn Limanond; Steven S Raman; Charles Lassman; James Sayre; R Mark Ghobrial; Ronald W Busuttil; Sammy Saab; David S K Lu
Journal:  Radiology       Date:  2004-01       Impact factor: 11.105

10.  The utility of radiological imaging in nonalcoholic fatty liver disease.

Authors:  Sherif Saadeh; Zobair M Younossi; Erick M Remer; Terry Gramlich; Janus P Ong; Maja Hurley; Kevin D Mullen; James N Cooper; Michael J Sheridan
Journal:  Gastroenterology       Date:  2002-09       Impact factor: 22.682

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  7 in total

1.  Measurement of spleen fat on MRI-proton density fat fraction arises from reconstruction of noise.

Authors:  Cheng William Hong; Gavin Hamilton; Catherine Hooker; Charlie C Park; Calvin Andrew Tran; Walter C Henderson; Jonathan C Hooker; Soudabeh Fazeli Dehkordy; Jeffrey B Schwimmer; Scott B Reeder; Claude B Sirlin
Journal:  Abdom Radiol (NY)       Date:  2019-10

2.  Small extracellular vesicle-mediated targeting of hypothalamic AMPKα1 corrects obesity through BAT activation.

Authors:  Edward Milbank; Nathalia R V Dragano; Ismael González-García; Marcos Rios Garcia; Verónica Rivas-Limeres; Liliana Perdomo; Grégory Hilairet; Francisco Ruiz-Pino; Patricia Mallegol; Donald A Morgan; Ramón Iglesias-Rey; Cristina Contreras; Luisa Vergori; Juan Cuñarro; Begoña Porteiro; Aleix Gavaldà-Navarro; Rebecca Oelkrug; Anxo Vidal; Juan Roa; Tomás Sobrino; Francesc Villarroya; Carlos Diéguez; Rubén Nogueiras; Cristina García-Cáceres; Manuel Tena-Sempere; Jens Mittag; M Carmen Martínez; Kamal Rahmouni; Ramaroson Andriantsitohaina; Miguel López
Journal:  Nat Metab       Date:  2021-10-21

Review 3.  Metabolic implications of pancreatic fat accumulation.

Authors:  Robert Wagner; Sabine S Eckstein; Hajime Yamazaki; Felicia Gerst; Jürgen Machann; Benjamin Assad Jaghutriz; Annette Schürmann; Michele Solimena; Stephan Singer; Alfred Königsrainer; Andreas L Birkenfeld; Hans-Ulrich Häring; Andreas Fritsche; Susanne Ullrich; Martin Heni
Journal:  Nat Rev Endocrinol       Date:  2021-10-20       Impact factor: 43.330

Review 4.  Liver fat imaging-a clinical overview of ultrasound, CT, and MR imaging.

Authors:  Yingzhen N Zhang; Kathryn J Fowler; Gavin Hamilton; Jennifer Y Cui; Ethan Z Sy; Michelle Balanay; Jonathan C Hooker; Nikolaus Szeverenyi; Claude B Sirlin
Journal:  Br J Radiol       Date:  2018-06-06       Impact factor: 3.039

5.  Repeatability and accuracy of various region-of-interest sampling strategies for hepatic MRI proton density fat fraction quantification.

Authors:  Cheng William Hong; Jennifer Y Cui; Danielle Batakis; Yang Xu; Tanya Wolfson; Anthony C Gamst; Alexandra N Schlein; Lindsey M Negrete; Michael S Middleton; Gavin Hamilton; Rohit Loomba; Jeffrey B Schwimmer; Kathryn J Fowler; Claude B Sirlin
Journal:  Abdom Radiol (NY)       Date:  2021-02-20

6.  How to select the quantitative magnetic resonance technique for subjects with fatty liver: A systematic review.

Authors:  You-Wei Li; Yang Jiao; Na Chen; Qiang Gao; Yu-Kun Chen; Yuan-Fang Zhang; Qi-Ping Wen; Zong-Ming Zhang
Journal:  World J Clin Cases       Date:  2022-09-06       Impact factor: 1.534

7.  Changes in Tissue Composition and Load Response After Transtibial Amputation Indicate Biomechanical Adaptation.

Authors:  J L Bramley; P R Worsley; D L Bader; C Everitt; A Darekar; L King; A S Dickinson
Journal:  Ann Biomed Eng       Date:  2021-09-27       Impact factor: 3.934

  7 in total

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