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Reliability and agreement of adipose tissue fat fraction measurements with water–fat MRI in patients with manifest cardiovascular disease
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Bas T. Franssens Anouk L. Eikendal Tim Leiner Yolanda van der Graaf Frank L. J. Visseren J. M. Hoogduin 《NMR in biomedicine》2016,29(1):48-56
The supraclavicular fat depot is known for brown adipose tissue presence. To unravel adipose tissue physiology and metabolism, high quality and reproducible imaging is required. In this study we quantified the reliability and agreement of MRI fat fraction measurements in supraclavicular and subcutaneous adipose tissue of 25 adult patients with clinically manifest cardiovascular disease. MRI fat fraction measurements were made under ambient temperature conditions using a vendor supplied mDixon chemical‐shift water–fat multi‐echo pulse sequence at 1.5 T field strength. Supraclavicular fat fraction reliability (intraclass correlation coefficientagreement, ICCagreement) was 0.97 for test–retest, 0.95 for intra‐observer and 0.56 for inter‐observer measurements, which increased to 0.88 when ICCconsistency was estimated. Supraclavicular fat fraction agreement displayed mean differences of 0.5% (limit of agreement (LoA) ?1.7 to 2.6) for test–retest, ?0.5% (LoA ?2.9 to 2.0) for intra‐observer and 5.6% (LoA 0.4 to 10.8) for inter‐observer measurements. Median fat fraction in supraclavicular adipose tissue was 82.5% (interquartile range (IQR) 78.6–84.0) and 89.7% (IQR 87.2–91.5) in subcutaneous adipose tissue (p < 0.0001). In conclusion, water–fat MRI has good reliability and agreement to measure adipose tissue fat fraction in patients with manifest cardiovascular disease. These findings enable research on determinants of fat fraction and enable longitudinal monitoring of fat fraction within adipose tissue depots. Interestingly, even in adult patients with manifest cardiovascular disease, supraclavicular adipose tissue has a lower fat fraction compared with subcutaneous adipose tissue, suggestive of distinct morphologic characteristics, such as brown adipose tissue. Copyright © 2015 John Wiley & Sons, Ltd. 相似文献
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Eikendal Anouk L.M. de Lorijn Fleur Heisterkamp Sabien G.J. de Kruiff Chris C. Bosman Diederik K. 《Tijdschrift voor kindergeneeskunde》2013,81(1):39-39
Tijdschrift voor Kindergeneeskunde - 相似文献
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Heisterkamp Sabien G.J. de Lorijn Fleur Eikendal Anouk L.M. de Kruiff Chris C. Bosman Diederik K. 《Tijdschrift voor kindergeneeskunde》2013,81(1):50-50
Tijdschrift voor Kindergeneeskunde - 相似文献
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Fast 3D isotropic imaging of the aortic vessel wall by application of 2D spatially selective excitation and a new way of inversion recovery for black blood imaging
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Robbert W. van Hamersvelt Martin J. Willemink Richard A. P. Takx Anouk L. M. Eikendal Ricardo P. J. Budde Tim Leiner Christian P. Mol Ivana Isgum Pim A. de Jong 《European radiology》2014,24(7):1557-1564
Objectives
To determine inter-observer and inter-examination variability for aortic valve calcification (AVC) and mitral valve and annulus calcification (MC) in low-dose unenhanced ungated lung cancer screening chest computed tomography (CT).Methods
We included 578 lung cancer screening trial participants who were examined by CT twice within 3 months to follow indeterminate pulmonary nodules. On these CTs, AVC and MC were measured in cubic millimetres. One hundred CTs were examined by five observers to determine the inter-observer variability. Reliability was assessed by kappa statistics (κ) and intra-class correlation coefficients (ICCs). Variability was expressed as the mean difference ± standard deviation (SD).Results
Inter-examination reliability was excellent for AVC (κ?=?0.94, ICC?=?0.96) and MC (κ?=?0.95, ICC?=?0.90). Inter-examination variability was 12.7?±?118.2 mm3 for AVC and 31.5?±?219.2 mm3 for MC. Inter-observer reliability ranged from κ?=?0.68 to κ?=?0.92 for AVC and from κ?=?0.20 to κ?=?0.66 for MC. Inter-observer ICC was 0.94 for AVC and ranged from 0.56 to 0.97 for MC. Inter-observer variability ranged from -30.5?±?252.0 mm3 to 84.0?±?240.5 mm3 for AVC and from -95.2?±?210.0 mm3 to 303.7?±?501.6 mm3 for MC.Conclusions
AVC can be quantified with excellent reliability on ungated unenhanced low-dose chest CT, but manual detection of MC can be subject to substantial inter-observer variability. Lung cancer screening CT may be used for detection and quantification of cardiac valve calcifications.Key points
? Low-dose unenhanced ungated chest computed tomography can detect cardiac valve calcifications. ? However, calcified cardiac valves are not reported by most radiologists. ? Inter-observer and inter-examination variability of aortic valve calcifications is sufficient for longitudinal studies. ? Volumetric measurement variability of mitral valve and annulus calcifications is substantial. 相似文献7.
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