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Assessment of the variations in fat content in normal liver using a fast MR imaging method in comparison with results obtained by spectroscopic imaging
- Source :
- European Radiology, 18(4), 806-813. SPRINGER
- Publication Year :
- 2007
- Publisher :
- Springer Science and Business Media LLC, 2007.
-
Abstract
- A recently published Dixon-based MRI method for quantifying liver fat content using dual-echo breath-hold gradient echo imaging was validated by phantom experiments and compared with results of biopsy in two patients (Radiology 2005;237:1048-1055). We applied this method in ten healthy volunteers and compared the outcomes with the results of MR spectroscopy (MRS), the gold standard in quantifying liver fat content. Novel was the use of spectroscopic imaging yielding the variations in fat content across the liver rather than a single value obtained by single voxel MRS. Compared with the results of MRS, liver fat content according to MRI was too high in nine subjects (range 3.3-10.7% vs. 0.9-7.7%) and correct in one (21.1 vs. 21.3%). Furthermore, in one of the ten subjects the MRI fat content according to the Dixon-based MRI method was incorrect due to a (100-x) versus x percent lipid content mix-up. The second problem was fixed by a minor adjustment of the MRI algorithm. Despite systematic overestimation of liver fat contents by MRI, Spearman's correlation between the adjusted MRI liver fat contents with MRS was high (r=0.927, P
- Subjects :
- Adult
Male
In vivo magnetic resonance spectroscopy
medicine.medical_specialty
Magnetic Resonance Spectroscopy
Population
liver
Fat Measurement
Imaging phantom
Biopsy
Image Processing, Computer-Assisted
medicine
Humans
Radiology, Nuclear Medicine and imaging
HEPATIC STEATOSIS
education
POPULATION
ACCUMULATION
Neuroradiology
fat measurement
education.field_of_study
medicine.diagnostic_test
business.industry
MR spectroscopy
Ultrasound
General Medicine
Gold standard (test)
Middle Aged
MAGNETIC-RESONANCE-SPECTROSCOPY
QUANTIFICATION
Magnetic Resonance Imaging
PREVALENCE
Adipose Tissue
Radiology
Nuclear medicine
business
Algorithms
MR imaging
Subjects
Details
- ISSN :
- 14321084 and 09387994
- Volume :
- 18
- Database :
- OpenAIRE
- Journal :
- European Radiology
- Accession number :
- edsair.doi.dedup.....41fcd667a56c0f5b61a7df20b0cadb9b
- Full Text :
- https://doi.org/10.1007/s00330-007-0801-0