Relationship between volumes and areas from single transverse scans of intra-abdominal fat measured by magnetic resonance imaging

Han, Thang S.; Kelly, Isabelle; Walsh, KM; Greene, R. R.; Lean, Mike

doi:10.1038/sj.ijo.0800530

Cited by 83 publications

(82 citation statements)

References 5 publications

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“…As men frequently have more visceral fat than women, it is possible that the pattern of fat loss may be even more disparate in men than women. Further, Han et al 1 observed that intraabdominal fat areas were higher in the upper region of the L 1 -L 5 area than the lower region in men, whereas in women the intra-abodminal fat areas were similar at all levels. Taken together with the earlier studies, we conclude that MRI measurements of total abdominal fat provides a more accurate assessment of abdominal fat content and of fat loss over time than single-slice measurements.…”

Section: Discussionmentioning

confidence: 95%

“…Likewise, previous evidence has shown the assumption of a uniform VAT distribution to be incorrect. Han et al 1 demonstrated in men that intra-abdominal fat areas were higher in the upper scans in the L 1 -L 5 region than in the lower scans of this region. Lee et al 12 noted that the ranking of men for abdominal SAT and VAT deposition was dependent on the level of the abdomen at which these depots were measured.…”

Section: Discussionmentioning

confidence: 98%

“…These protocols include whole body imaging, multi-slice imaging of the entire abdominal area, or a single slice at a predetermined area of the abdomen (L 2 -L 3 or L 4 -L 5 ). [1][2][3][4][5] Recently, Thomas and Bell 6 reported that singleslice images may be less likely to detect small changes in abdominal adiposity or may require a larger cohort of subjects to detect similar changes than multi-slice images of the total abdomen.…”

Section: Introductionmentioning

confidence: 99%

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Regional differences in abdominal fat loss

2006

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Objective: This study determined if the magnetic resonance imaging (MRI) protocol used alters the estimation of change in abdominal fat with weight loss in obese type 2 diabetic women. This study also examined if there is a uniform fat loss across the abdomen. Methods and procedures: Thirty-three obese postmenopausal women with type 2 diabetes (age 50-70 years, body mass index430 kg/m 2 ) had a total abdominal MRI scan pre-and post weight loss intervention. Three different MRI analysis protocols were used and compared: a single slice at L 2 -L 3 vs five slices (centered at L 4 -L 5 ) vs all abdominal slices. In addition, the total abdominal scan was divided into four regions (four slices each) with region 3 (critical region) including the traditionally studied L 2 -L 3 , and regions 1 and 2 superior and region 4 inferior to critical region 3. Analysis of variance (ANOVA) with repeated measures was used to compare the influence of weight loss on abdominal fat measured both regionally and using the varying number of MR slices. Results: At baseline, the ratio of visceral adipose tissue:subcutaneous adipose tissue (VAT:SAT) was significantly lower using the single-slice method compared to five slices and the total abdomen (Po0.01). Using the single-slice method, a lower %VAT was found than with the other methods (Po0.01). In regions 1, 2, 3, and 4, the absolute change in total fat was 122750, 182748, 182755, and 155740 cm 3 , respectively. The regional difference in abdominal fat patterning revealed that the critical region (region 3) had a smaller VAT:SAT ratio than regions 1 and 2 (Po0.05), and the ratio at region 4 was smaller than region 3 (Po0.05). Weight loss resulted in a decrease in the VAT:SAT ratio (Po0.05) for regions 3 and 4 but not for regions 1 and 2. Conclusions: The number of MR slices analyzed yields differential result in relative VAT distribution. Regional differences in abdominal fat loss occur with a greater relative VAT loss in the critical region, thus if only the critical region is analyzed the overall VAT loss induced by weight loss intervention may be overestimated.

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Section: Discussionmentioning

confidence: 95%

Section: Discussionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

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Regional differences in abdominal fat loss

2006

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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%

“…The first step is to separate fat from nonfat tissue. 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.…”

Section: Introductionmentioning

confidence: 99%

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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Association of Visceral Fat and Liver Fat With Hyperuricemia

Yamada

Satō

Kinuhata

et al. 2016

Arthritis Care & Research

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Objective. To examine cross-sectionally whether intraabdominal fat area (IAFA), i.e., visceral fat, and liver fat assessed by computed tomography (CT) are independently associated with hyperuricemia. Methods. Subjects were 801 Japanese men not taking antidiabetic, antihypertensive, or urate-lowering medications, without any history of renal disease, cardiovascular disease, or cancer, and with serum creatinine <1.5 mg/dl. Abdominal, thoracic, and thigh fat areas were measured by CT. Total fat area (TFA) was the sum of these fat areas. Total subcutaneous fat area (TSFA) was TFA minus IAFA. Liver fat was assessed by liver-to-spleen (L/S) ratio measured by CT. Hyperuricemia was defined as serum uric acid level >7.0 mg/dl. Its association with adiposity was tested using logistic regression.Results. The prevalence of hyperuricemia was 19.6% (157 men). Both greater IAFA and lower L/S ratio were independently associated with hyperuricemia in models that simultaneously included IAFA and L/S ratio: multiple-adjusted odds ratios of hyperuricemia for quintiles 3, 4, and 5 of IAFA were 2.16 (95% confidence interval [95% CI] 1.02-4.59), 2.41 (95% CI 1.13-5.16), and 4.00 (95% CI 1.81-8.85), respectively, compared to quintile 1, and the L/S ratios for quintiles 3, 2, and 1 were 2.34 (95% CI 1.16-4.75), 2.15 (95% CI 1.06-4.34), and 2.79 (95% CI 1.35-5.76), respectively, compared to quintile 5. Both IAFA and L/S ratio remained significant even after adjusting for abdominal subcutaneous fat area, TFA, TSFA, body mass index, or waist circumference. Of all fat measurements, IAFA had the strongest association with hyperuricemia by Akaike's information criteria. Conclusion. Greater amounts of both visceral fat and liver fat were independently associated with hyperuricemia.

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Relationship between volumes and areas from single transverse scans of intra-abdominal fat measured by magnetic resonance imaging

Cited by 83 publications

References 5 publications

Regional differences in abdominal fat loss

Regional differences in abdominal fat loss

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

Association of Visceral Fat and Liver Fat With Hyperuricemia

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