Fast adipose tissue (FAT) assessment by MRI

Gronemeyer, S.; Steen, R. Grant; Kauffman, William M.; Reddick, Wilburn E.; Glass, John O.

doi:10.1016/s0730-725x(00)00168-5

Cited by 92 publications

(79 citation statements)

References 13 publications

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“…If the patient's width was greater than the 400-mm field-of-view (FOV) limit, two offset images were acquired to ensure complete coverage of the subject. The four slices that were best aligned with the L4 vertebra (19,20) were analyzed by a single operator (J.B.) using the polygon ROI in DicomWorks to define subcutaneous and intraabdominal fat areas as described previously (21). The average results for the four slices were reported.…”

Section: Mri Measurement Of Intraabdominal and Subcutaneous Fatmentioning

confidence: 99%

Magnetic resonance imaging and spectroscopy for monitoring liver steatosis

Cowin

Jonsson

Bauer

et al. 2008

Magnetic Resonance Imaging

177

142

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Purpose:To compare noninvasive MRI and magnetic resonance spectroscopy (MRS) methods with liver biopsy to quantify liver fat content. Materials and Methods:Quantification of liver fat was compared by liver biopsy, proton MRS, and MRI using inphase/out-of-phase (IP/OP) and plus/minus fat saturation (ϮFS) techniques. The reproducibility of each MR measure was also determined. An additional group of overweight patients with steatosis underwent hepatic MRI and MRS before and after a six-month weight-loss program. Results:A close correlation was demonstrated between histological assessment of steatosis and measurement of intrahepatocellular lipid (IHCL) by MRS (r s ϭ 0.928, P Ͻ 0.0001) and MRI (IP/OP r s ϭ 0.942, P Ͻ 0.0001; FS r s ϭ 0.935, P Ͻ 0.0001). Following weight reduction, four of five patients with Ͼ5% weight loss had a decrease in IHCL of Ն50%. Conclusion:These findings suggest that standard MRI protocols provide a rapid, safe, and quantitative assessment of hepatic steatosis. This is important because MRS is not available on all clinical MRI systems. This will enable noninvasive monitoring of the effects of interventions such as weight loss or pharmacotherapy in patients with fatty liver diseases.

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Section: Mri Measurement Of Intraabdominal and Subcutaneous Fatmentioning

confidence: 99%

Magnetic resonance imaging and spectroscopy for monitoring liver steatosis

Cowin

Jonsson

Bauer

et al. 2008

Magnetic Resonance Imaging

177

142

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“…12,13 With the advantages of noninvasiveness and excellent soft-tissue contrast by using different imaging parameters, MRI provides a method to measure adipose tissue safely and accurately. 8,10,[14][15][16][17][18][19][20][21][22][23][24][25]27 However, measuring the fat quantity and distribution in the abdomen by MRI is generally laborious. Two steps are required to identify the volume of VAAT.…”

Section: Introductionmentioning

confidence: 99%

“…Thresholding on a histogram 8,[14][15][16][17]19,25 is frequently used for this task and could be accomplished automatically with good agreement between automatically and manually set thresholds. 17,19 The second step is to locate VAAT on MR image slices. It is often timeconsuming to delineate the region of interest (ROI) of VAAT because of the complex structure of the viscera.…”

Section: Introductionmentioning

confidence: 99%

“…It is often timeconsuming to delineate the region of interest (ROI) of VAAT because of the complex structure of the viscera. 26 Almost all the previous studies of this step have reported requiring more or less human interventions, which are either laborious or subject to technical problems 8,10,[14][15][16][17]19,[24][25] (Table 1). For example, Elbers et al 15 measured visceral fat areas using an algorithmic seed-growing procedure.…”

Section: Introductionmentioning

confidence: 99%

“…However, both the seed points and the thresholds had to be defined manually. In Gronemeyer et al's study 17 in 2000, although the thresholds were automatically set, VAAT had to be manually removed for the calculation of the subcutaneous abdominal adipose tissue (SAAT) area. Poll et al's study 19 in 2002 took a similar approach, but the VAAT was separated by ROIs drawn manually.…”

Section: Introductionmentioning

confidence: 99%

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Fully automated large-scale assessment of visceral and subcutaneous abdominal adipose tissue by magnetic resonance imaging

et al. 2006

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Objective: To describe and evaluate a fully automated method for characterizing abdominal adipose tissue from magnetic resonance (MR) transverse body scans. Methods: Four MR pulse sequences were applied: SE, FLAIR, STIR, and FRFSE. On 39 subjects, each abdomen was traversed by 15 contiguous transaxial images. The total abdominal adipose tissue (TAAT) was calculated from thresholds obtained by slice histogram analysis. The same thresholds were also used in the manual volume calculation of TAAT, subcutaneous abdominal adipose tissue (SAAT) and visceral abdominal adipose tissue (VAAT). Image segmentation methods, including edge detection, mathematical morphology, and knowledge-based curve fitting, were used to automatically separate SAAT from VAAT in various 'nonstandard' cases such as those with heterogeneous magnetic fields and movement artefacts. Results: The percentage root mean squared errors of the method for SAAT and VAAT ranged from 1.0 to 2.7% for the four sequences. It took approximately 7 and 15 min to complete the 15-slice volume estimation of the three adipose tissue classes using automated and manual methods, respectively. Conclusion:The results demonstrate that the proposed method is robust and accurate. Although the separation of SAAT and VAAT is not always perfect, this method could be especially helpful in dealing with large amounts of data such as in epidemiological studies.

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Lipid dysmetabolism in ceruloplasmin‐deficient mice revealed both in vivo and ex vivo by MRI, MRS and NMR analyses

Mannella,

Chaabane,

Canu

et al. 2023

FEBS Open Bio

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Ceruloplasmin (Cp) is a ferroxidase that plays a role in cellular iron homeostasis and is mainly expressed in the liver and secreted into the blood. Cp is also produced by adipose tissue, which releases it as an adipokine. Although a dysfunctional interaction of iron with the metabolism of lipids has been associated with several metabolic diseases, the role of Cp in adipose tissue metabolism and in the interplay between hepatocytes and adipocytes has been poorly investigated. We previously found that Cp‐deficient (CpKO) mice become overweight and demonstrate adipose tissue accumulation together with liver steatosis during aging, suggestive of lipid dysmetabolism. In the present study, we investigated the lipid alterations which occur during aging in adipose tissue and liver of CpKO and wild‐type mice both in vivo and ex vivo. During aging of CpKO mice, we observed adipose tissue accumulation and liver lipid deposition, both of which are associated with macrophage infiltration. Liver lipid deposition was characterized by accumulation of triglycerides, fatty acids and ω‐3 fatty acids, as well as by a switch from unsaturated to saturated fatty acids, which is characteristic of lipid storage. Liver steatosis was preceded by iron deposition and macrophage infiltration, and this was observed to be already occurring in younger CpKO mice. The accumulation of ω‐3 fatty acids, which can only be acquired through diet, was associated with body weight increase in CpKO mice despite food intake being equal to that of wild‐type mice, thus underlining the alterations in lipid metabolism/catabolism in Cp‐deficient animals.

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Fast adipose tissue (FAT) assessment by MRI

Cited by 92 publications

References 13 publications

Magnetic resonance imaging and spectroscopy for monitoring liver steatosis

Magnetic resonance imaging and spectroscopy for monitoring liver steatosis

Fully automated large-scale assessment of visceral and subcutaneous abdominal adipose tissue by magnetic resonance imaging

Lipid dysmetabolism in ceruloplasmin‐deficient mice revealed both in vivo and ex vivo by MRI, MRS and NMR analyses

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