Literature DB >> 1765436

Fatty liver. Chemical shift phase-difference and suppression magnetic resonance imaging techniques in animals, phantoms, and humans.

D G Mitchell1, I Kim, T S Chang, S Vinitski, P M Consigny, S A Saponaro, S M Ehrlich, M D Rifkin, R Rubin.   

Abstract

In vitro animal and human models were used to evaluate the potential of chemical shift magnetic resonance imaging (MRI) for assessing fatty liver. Phantoms of varying fat content were created from mayonnaise-agar preparations. Fatty liver was induced in eight rats by feeding them ethanol for three to six weeks (36% of total calories), whereas eight control rats were fed a normal diet. T1-weighted in-phase and opposed-phase MR images were obtained of the phantoms animals, and 28 human subjects. Additional images obtained in animals included long TR images with in-phase and opposed-phase technique, and hybrid chemical shift water and fat suppression. The rats were killed and histologic status was graded blindly by a hepatopathologist as normal, mild, moderate, or severe fatty change, for correlation with MR grading. Quantitative analysis of MR images included fat signal fraction for animals, and relative signal decrease between in-phase and opposed-phase images for phantom and human data. Phantom in-phase signal increased linearly with respect to fat content, whereas opposed-phase signal decreased linearly. MRI and histologic grading of rat livers were highly correlated, especially when based on water suppression images (r = 0.91, P = .0001). Opposed-phase images were also highly correlated, while fat suppression images were less effective. There was no overlap between MR-derived fat fractions for control (2.6%-5.7%) versus ethanol-fed rats (7.7%-17.9%, P = .0002). Human liver considered to be fatty by visual inspection (n = 8) had higher relative signal decrease than nonfatty liver (n = 22) (P less than .001). Phantom, animal, and human data demonstrate that comparison of T1-weighted in-phase and opposed-phase images is both practical and sensitive in the detection and grading of fatty liver.

Entities:  

Mesh:

Year:  1991        PMID: 1765436

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  13 in total

Review 1.  Quantitative Assessment of Liver Fat with Magnetic Resonance Imaging and Spectroscopy.

Authors:  Scott B Reeder; Irene Cruite; Gavin Hamilton; Claude B Sirlin
Journal:  J Magn Reson Imaging       Date:  2011-09-16       Impact factor: 4.813

Review 2.  Quantification of liver fat with magnetic resonance imaging.

Authors:  Scott B Reeder; Claude B Sirlin
Journal:  Magn Reson Imaging Clin N Am       Date:  2010-08       Impact factor: 2.266

3.  Proton density fat-fraction: a standardized MR-based biomarker of tissue fat concentration.

Authors:  Scott B Reeder; Houchun H Hu; Claude B Sirlin
Journal:  J Magn Reson Imaging       Date:  2012-07-06       Impact factor: 4.813

4.  Accurate and simple method for quantification of hepatic fat content using magnetic resonance imaging: a prospective study in biopsy-proven nonalcoholic fatty liver disease.

Authors:  Tomoko Hatta; Yasunari Fujinaga; Masumi Kadoya; Hitoshi Ueda; Hiroaki Murayama; Masahiro Kurozumi; Kazuhiko Ueda; Michiharu Komatsu; Tadanobu Nagaya; Satoru Joshita; Ryo Kodama; Eiji Tanaka; Tsuyoshi Uehara; Kenji Sano; Naoki Tanaka
Journal:  J Gastroenterol       Date:  2010-07-13       Impact factor: 7.527

Review 5.  Fat Quantification in the Abdomen.

Authors:  Cheng William Hong; Soudabeh Fazeli Dehkordy; Jonathan C Hooker; Gavin Hamilton; Claude B Sirlin
Journal:  Top Magn Reson Imaging       Date:  2017-12

6.  Myocardial fat quantification in humans: Evaluation by two-point water-fat imaging and localized proton spectroscopy.

Authors:  Chia-Ying Liu; Alban Redheuil; Ronald Ouwerkerk; Joao A C Lima; David A Bluemke
Journal:  Magn Reson Med       Date:  2010-04       Impact factor: 4.668

Review 7.  Measurement of liver fat fraction and iron with MRI and MR spectroscopy techniques.

Authors:  Puneet Sharma; Maria Altbach; Jean-Philippe Galons; Bobby Kalb; Diego R Martin
Journal:  Diagn Interv Radiol       Date:  2014 Jan-Feb       Impact factor: 2.630

8.  MR imaging of renal cortical tumours: qualitative and quantitative chemical shift imaging parameters.

Authors:  Christoph A Karlo; Olivio F Donati; Irene A Burger; Junting Zheng; Chaya S Moskowitz; Hedvig Hricak; Oguz Akin
Journal:  Eur Radiol       Date:  2013-01-10       Impact factor: 5.315

Review 9.  Advanced MRI methods for assessment of chronic liver disease.

Authors:  Bachir Taouli; Richard L Ehman; Scott B Reeder
Journal:  AJR Am J Roentgenol       Date:  2009-07       Impact factor: 3.959

Review 10.  Chemical shift imaging: An indispensable tool in diagnosing musculoskeletal pathologies.

Authors:  Vandana Jahanvi; Abhimanyu Kelkar
Journal:  SA J Radiol       Date:  2021-05-06
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.