Literature DB >> 19959513

MR spectroscopy of the liver: principles and clinical applications.

Aliya Qayyum1.   

Abstract

Magnetic resonance (MR) spectroscopy allows the demonstration of relative tissue metabolite concentrations along a two- or three-dimensional spectrum based on the chemical shift phenomenon. An MR spectrum is a plot of the signal intensity and frequency of a chemical or metabolite within a given voxel. At proton MR spectroscopy, the frequency at which a chemical or compound occurs depends on the configuration of the protons within the structure of that chemical. At in vivo proton MR spectroscopy, the frequency location of water is used as the standard of reference to identify a chemical. The frequency shift or location of chemicals relative to that of water allows generation of qualitative and quantitative information about the chemicals that occur within tissues, forming the basis of tissue characterization by MR spectroscopy. MR spectroscopy also may be used to quantify liver fat by measuring lipid peaks and to diagnose malignancy, usually by measuring the choline peak. Interpretation of MR spectroscopic data requires specialized postprocessing software and is subject to technical limitations including low signal-to-noise ratio, masking of metabolite peaks by dominant water and lipid peaks, partial-volume averaging from other tissue within the voxel, and phase and frequency shifts from motion. MR spectroscopy of the liver is an evolving technology with potential for improving the diagnostic accuracy of tissue characterization when spectra are interpreted in conjunction with MR images.

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Year:  2009        PMID: 19959513     DOI: 10.1148/rg.296095520

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  43 in total

1.  Reduced frontal glutamate + glutamine and N-acetylaspartate levels in patients with chronic schizophrenia but not in those at clinical high risk for psychosis or with first-episode schizophrenia.

Authors:  Tatsunobu Natsubori; Hideyuki Inoue; Osamu Abe; Yosuke Takano; Norichika Iwashiro; Yuta Aoki; Shinsuke Koike; Noriaki Yahata; Masaki Katsura; Wataru Gonoi; Hiroki Sasaki; Hidemasa Takao; Kiyoto Kasai; Hidenori Yamasue
Journal:  Schizophr Bull       Date:  2013-09-10       Impact factor: 9.306

Review 2.  [New developments in MRI of the liver].

Authors:  N Bastati-Huber; H Prosch; S Baroud; S Magnaldi; W Schima; A Ba-Ssalamah
Journal:  Radiologe       Date:  2011-08       Impact factor: 0.635

Review 3.  Lessons learnt from pathologic imaging correlation in the liver: an historical perspective.

Authors:  Yvonne Purcell; Pauline Copin; Valérie Paradis; Valérie Vilgrain; Maxime Ronot
Journal:  Br J Radiol       Date:  2019-01-10       Impact factor: 3.039

Review 4.  Epidemiology of fatty liver: an update.

Authors:  Giorgio Bedogni; Valerio Nobili; Claudio Tiribelli
Journal:  World J Gastroenterol       Date:  2014-07-21       Impact factor: 5.742

Review 5.  Pediatric Body Magnetic Resonance Imaging.

Authors:  Devasenathipathy Kandasamy; Ankur Goyal; Raju Sharma; Arun Kumar Gupta
Journal:  Indian J Pediatr       Date:  2016-02-26       Impact factor: 1.967

6.  Extreme Learning Machine Framework for Risk Stratification of Fatty Liver Disease Using Ultrasound Tissue Characterization.

Authors:  Venkatanareshbabu Kuppili; Mainak Biswas; Aswini Sreekumar; Harman S Suri; Luca Saba; Damodar Reddy Edla; Rui Tato Marinho; J Miguel Sanches; Jasjit S Suri
Journal:  J Med Syst       Date:  2017-08-23       Impact factor: 4.460

Review 7.  Peripheral fatigue: new mechanistic insights from recent technologies.

Authors:  Emiliano Cè; Stefano Longo; Eloisa Limonta; Giuseppe Coratella; Susanna Rampichini; Fabio Esposito
Journal:  Eur J Appl Physiol       Date:  2019-11-19       Impact factor: 3.078

8.  MR proton spectroscopy for myocardial lipid deposition quantification: a quantitative comparison between 1.5T and 3T.

Authors:  Bharath Ambale Venkatesh; Joao A C Lima; David A Bluemke; Shenghan Lai; Charles Steenbergen; Chia-Ying Liu
Journal:  J Magn Reson Imaging       Date:  2012-07-23       Impact factor: 4.813

9.  In vivo characterisation of soft tissue tumours by 1.5-T proton MR spectroscopy.

Authors:  F Russo; S Mazzetti; G Grignani; G De Rosa; M Aglietta; G C Anselmetti; M Stasi; D Regge
Journal:  Eur Radiol       Date:  2011-12-04       Impact factor: 5.315

10.  3.0 T proton magnetic resonance spectroscopy of the liver: quantification of choline.

Authors:  Li Xu; Bo Liu; Yan Huang; Xian Liu; Si-Wei Zhang; Xue-Gang Xin; Jin-Zhi Zheng
Journal:  World J Gastroenterol       Date:  2013-03-07       Impact factor: 5.742

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