Objective: To test the feasibility of fat-selective GRE imaging using a spectral-spatial excitation technique for determination of intrahepatic lipid content (IHL) in obese adolescents.
Methods: Fat-selective MR imaging (1.5 T) was applied to record a single axial slice through a representative liver region within a single breath-hold. The sequence uses six equidistant slice-selective excitation pulses with binomial amplitude ratios to achieve high selectivity for lipid signals after appropriate shimming. IHL(MRI) content was quantified using signal intensity of adjacent subcutaneous adipose tissue. As the gold standard for IHL quantification, single-voxel stimulated echo magnetic resonance spectroscopy (MRS) was applied. IHL(MRS) was quantified using the water peak as a reference.
Results: Forty-five MR examinations could be performed, and IHL(MRS) content ranged from 0.7% to 19.1%. Results from MRS and fat-selective imaging correlated well with Spearman coefficients between r = 0.78 and r = 0.86. There were no relevant regional differences in IHL within the liver parenchyma (p > 0.6359). Fat-selective imaging was able to reliably identify patients with IHL content above 5% with positive/negative likelihood ratio of 11.8 and 0.05, respectively.
Conclusion: Fat-selective MR imaging provides both a reliable and a convenient method of rapidly quantifying IHL content in obese adolescents.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s00330-010-1975-4 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Pathophysiologic Mapping of Chronic Liver Diseases With Longitudinal Multiparametric MRI in Animal Models.
Invest Radiol
October 2024
From the Institute for Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany (F.B., T.L., S.K., V.S., W.L., F.K.); Department for Diagnostic and Interventional Radiology, RWTH Aachen University, Aachen, Germany (T.L.); Institute of Pathology, RWTH Aachen University, Aachen, Germany (B.K., S.S., P.B.); and Institute for Laboratory Animal Science, Hannover Medical School, Hannover, Germany (S.R.T.).
Objectives: Chronic liver diseases (CLDs) have diverse etiologies. To better classify CLDs, we explored the ability of longitudinal multiparametric MRI (magnetic resonance imaging) in depicting alterations in liver morphology, inflammation, and hepatocyte and macrophage activity in murine high-fat diet (HFD)- and carbon tetrachloride (CCl 4 )-induced CLD models.
Materials And Methods: Mice were either untreated, fed an HFD for 24 weeks, or injected with CCl 4 for 8 weeks.
Left-dominant arrhythmogenic cardiomyopathy with a nonsense mutation in DSP.
ESC Heart Fail
October 2020
Department of Cardiovascular Medicine and Diagnostic Radiology, Faculty of Life Sciences, Graduate School of Medical Sciences, Kumamoto University, 1-1-1, Honjo, Chuo-ku, Kumamoto, 860-8556, Japan.
A 74-year-old man had abnormal left ventricular (LV) function according to a perioperative test at a local hospital and was transferred to our institution for further evaluation and treatment. His electrocardiogram demonstrated the presence of premature ventricular contraction with a QRS complex of the right bundle branch block type and superior axis. His echocardiography showed systolic dysfunction of the LV (LV ejection fraction, 44.
View Article and Find Full Text PDFRetrospective correction of involuntary microscopic head movement using highly accelerated fat image navigators (3D FatNavs) at 7T.
Magn Reson Med
March 2016
Centre d'Imagerie BioMédicale (CIBM), EPFL Lausanne, Lausanne, Switzerland.
Purpose: The goal of the present study was to use a three-dimensional (3D) gradient echo volume in combination with a fat-selective excitation as a 3D motion navigator (3D FatNav) for retrospective correction of microscopic head motion during high-resolution 3D structural scans of extended duration. The fat excitation leads to a 3D image that is itself sparse, allowing high parallel imaging acceleration factors--with the additional advantage of a minimal disturbance of the water signal used for the host sequence.
Methods: A 3D FatNav was inserted into two structural protocols: an inversion-prepared gradient echo at 0.
Properties of a 2D fat navigator for prospective image domain correction of nodding motion in brain MRI.
Magn Reson Med
March 2015
Department of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Purpose: A two-dimensional fat navigator (FatNav) image is proposed, designed for future use as a means of prospective motion correction of head-nodding motion.
Methods: The proposed FatNav module comprised a fat-selective excitation, followed by an accelerated echo planar imaging readout played out in one central sagittal plane. Step-wise motion experiments with different acceleration factors, blip polarity, and matrix sizes were performed.
Comparison of fat saturation techniques for single-shot fast spin echo sequences for 7-T body imaging.
Invest Radiol
February 2014
From the *Erwin L. Hahn Institute for Magnetic Resonance Imaging, and †Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Objectives: For T2-weighted abdominal images, homogenous fat suppression (FS) is crucial for diagnosis, but inherent B0/B1 inhomogeneities at 7 T lead to inhomogeneous FS and to tissue signal loss for most techniques. Here, 4 different FS techniques for single-shot fast spin echo were compared, whereby the recently proposed time-interleaved acquisition of modes (TIAMO) was used for the imaging portion of the sequence to reduce B1 artifacts.
Materials And Methods: Fat suppression techniques included a novel method using TIAMO (TIAMO FS: multiple fat-selective 90-degree radiofrequency pulses applied with alternating transmit radiofrequency modes), slice-selective gradient reversal (SSGR), slice-selective smaller bandwidth refocusing pulses (SSB), and the combination of SSGR and SSB with TIAMO FS.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!