Software for automated MRI‐based quantification of abdominal fat and preliminary evaluation in morbidly obese patients

Thörmer, Gregor; Bertram, Henriette; Garnov, Nikita; Peter, Veronika; Schütz, Tatjana; Shang, E.; Blüher, Matthias; Kahn, Thomas; Busse, Harald

doi:10.1002/jmri.23890

Cited by 45 publications

(49 citation statements)

References 24 publications

(36 reference statements)

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“…Percentage body fat was measured by DEXA. In a subgroup (n = 52), abdominal visceral fat content was measured by magnetic resonance imaging (MRI) as described previously (20). Insulin sensitivity was assessed with the euglycemic-hyperinsulinemic clamp method as described previously (21).…”

Section: Cohort Imentioning

confidence: 99%

WISP1 Is a Novel Adipokine Linked to Inflammation in Obesity

et al. 2014

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WISP1 (Wnt1-inducible signaling pathway protein-1, also known as CCN4) is a member of the secreted extracellular matrix–associated proteins of the CCN family and a target gene of the Wingless-type (WNT) signaling pathway. Growing evidence links the WNT signaling pathway to the regulation of adipogenesis and low-grade inflammation in obesity. We aimed to validate WISP1 as a novel adipokine. Human adipocyte differentiation was associated with increased WISP1 expression and secretion. Stimulation of human macrophages with WISP1 led to a proinflammatory response. Circulating WISP1 and WISP1 subcutaneous adipose tissue expression were regulated by weight changes in humans and mice. WISP1 expression in visceral and subcutaneous fat tissue was associated with markers of insulin resistance and inflammation in glucose-tolerant subjects. In patients with nonalcoholic fatty liver disease, we found no correlation among disease activity score, liver fat content, and WISP1 expression. Insulin regulated WISP1 expression in adipocytes in vitro but had no acute effect on WISP1 gene expression in subcutaneous fat tissue in overweight subjects who had undergone hyperinsulinemic clamp experiments. The data suggest that WISP1 may play a role in linking obesity to inflammation and insulin resistance and could be a novel therapeutic target for obesity.

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Section: Cohort Imentioning

confidence: 99%

WISP1 Is a Novel Adipokine Linked to Inflammation in Obesity

et al. 2014

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“…Measurement of gross body fat in separate compartments was originally very timeconsuming because of the need to manually segment the different compartments. More recently introduced semi-automated and automated segmentation techniques have made this process faster (13)(14)(15)(16)(17)and there is increasing evidence of good reliability and correlation with the laborious standard of manual segmentation (18). Variances of up to 1% for semiautomated segmentation of superficial fat, and 1-2% for intramuscular adipose tissue (19) have been reported and test-retest reliability appears to be excellent with a study of visceral and subcutaneous adipose tissue in children using a fully automated process demonstrating correlation coefficients of r=0.977 for VAT and r=0.999 for subcutaneous adipose tissue (SAT) (20).…”

Section: Authorsmentioning

confidence: 99%

Test-retest reliability of rapid whole body and compartmental fat volume quantification on a widebore 3T MR system in normal-weight, overweight, and obese subjects

Newman

Kelly-Morland

Leinhard

et al. 2016

J. Magn. Reson. Imaging

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, Test-retest reliability of rapid whole body and compartmental fat volume quantification on a widebore 3T MR system in normal-weight, overweight, and obese subjects, 2016 ABSTRACT PurposeTo measure the test-retest reliability of rapid (< 15 min) whole body and visceral fat volume quantification in normal and obese subjects on a wide bore 3T MR system and compare with conventional manual segmentation. Materials and MethodsThirty participants (BMI 20.1-48.6 kg/m 2 ) underwent two whole body MRI examinations on a wide bore 3T machine using a 2-point Dixon technique. Phase sensitive reconstruction and intensity inhomogeneity correction produced quantitative datasets of Total Adipose Tissue (TAT), Abdominal Subcutaneous Adipose Tissue (ASAT) and Visceral Adipose Tissue (VAT).The quantification was performed automatically using non-rigid atlas-based segmentation and compared with manual segmentation (SliceOmatic™) ResultsThe mean TAT was 31.74 L with a coefficient of variation (CV) of 0.79% and a coefficient of repeatability (CR) of 0.49 L. The ASAT was 7.92 L with a CV of 2.98% and a CR of 0.46 L. There was no significant difference in the semi-automated and manually segmented VAT (p=0.73) but there were differences in the reliability of the two techniques. The mean semiautomated VAT was 2.56 L, CV 1.8% and CR 0.09 L compared to the mean manually segmented VAT of 3.12 L where the CV was 6.3% and the CR was 0.39 L. ConclusionRapid semi-automated whole body and compartmental fat volume quantification can be derived from a wide bore 3T system, for a range of body sizes including obese patients, with "almost perfect" test-retest reliability.

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“…A whole abdominal scan typically consists of 15 to 50 slices, imposing a substantial image-processing task when processed by a semi-automated segmentation method. Both manual and semiautomated methods require users’ interventions, which may cause inter- and intra-observer variations that undermine the data reliability (Thörmer et al, 2013). In order to circumvent the above disadvantages, user-independent and fully-automated MR image processing methods have been investigated (Thörmer et al, 2013; Kullberg et al, 2007; Zhou et al, 2011; Positano et al, 2004; Demerath et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Automated quantification of abdominal adiposity by magnetic resonance imaging

Sun

Freeland‐Graves

2016

American J Hum Biol

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Objectives To develop a fully-automated algorithm to process axial magnetic resonance imaging (MRI) slices for quantifying abdominal visceral, subcutaneous and total adipose tissues, i.e. VAT, SAT and TAT, without human intervention or prior knowledge. Materials and Methods Fat regions in single MRI slice or sequence (20 slices) were identified with image processing techniques including region-growing, inhomogeneity correction, fuzzy c-means clustering, and active contours segmentation. The MR images of 85 subjects (60 males and 25 females), whose body mass index (BMI) values ranged from 19.96 to 40.35 kg/m2, were analyzed using the fully-automated algorithm—the automatic method developed in the research and the widely used semi-automated software (sliceOmatic® Tomovision, Inc.)—the reference method. Results The proposed automated method showed good performance against the reference method to quantify adipose tissues in both single umbilical slice and MRI sequence. The square of the Pearson correlation coefficients (R2) based on the results generated from the two methods for VAT/SAT/TAT were 0.977/0.998/0.997 for single slice data and 0.995/0.999/0.999 for volumetric data. The intra-class correlation of VAT between the three operators was 0.939 in the reference method, which was improved to 0.999 in the automatic method. The adipose tissue measurements in the slice at Lumbar 3 vertebra have the highest correlation with the total fat volumes across the entire abdomen. Conclusion The fully-automated algorithm presented in the paper provides an accurate and reliable assessment of abdominal fat without human intervention.

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Software for automated MRI‐based quantification of abdominal fat and preliminary evaluation in morbidly obese patients

Cited by 45 publications

References 24 publications

WISP1 Is a Novel Adipokine Linked to Inflammation in Obesity

WISP1 Is a Novel Adipokine Linked to Inflammation in Obesity

Test-retest reliability of rapid whole body and compartmental fat volume quantification on a widebore 3T MR system in normal-weight, overweight, and obese subjects

Automated quantification of abdominal adiposity by magnetic resonance imaging

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