Comparison of gross body fat-water magnetic resonance imaging at 3 Tesla to dual-energy X-ray absorptiometry in obese women.
Comparison of gross body fat-water magnetic resonance imaging at 3 Tesla to dual-energy X-ray absorptiometry in obese women.
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DOI：
10.1002/oby.20287
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发表时间：
2013-04
期刊：
影响因子：
6.9
通讯作者：
Welch, E. Brian
中科院分区：
文献类型：
--
作者：
Silver, Heidi J.;Niswender, Kevin D.;Kullberg, Joel;Berglund, Johan;Johansson, Lars;Bruvold, Morten;Avison, Malcolm J.;Welch, E. Brian
对特定脂肪组织质量如何易患肥胖相关合并症的更好理解可以对肥胖的发病机制和治疗以及减肥的代谢益处产生新的见解。我们假设，三维连续的“脂肪-水”MR成像（FWMRI）覆盖了在3特斯拉（3 T）下采集的大部分全身视野（FOV），并结合自动分割和定量脂肪和瘦软组织的数量、类型和分布，将在身体组成方法学中显示出巨大的前景。评估3 T FWMRI测量身体和躯干区域脂肪和瘦软组织的精度，并与DEXA进行比较。在12名BMI为30-39.9 kg/m2的女性中获得人体测量、FWMRI和DEXA测量。重测结果发现FWMRI的变异系数均在3%以下：全身脂肪组织（GBAT）0.80%，总躯干脂肪组织（TTAT）2.08%，内脏脂肪组织（VAT）2.62%，皮下脂肪组织（SAT）2.11%，全身瘦软组织（GBLST）0.60%，总躯干瘦软组织（TTLST）2.43%。FWMRI与DEXA的一致性相关系数分别为0.978、0.802、0.629和0.400。虽然Bland Altman图证明了FWMRI和DEXA在GBAT和TTAT方面的一致性，但GBLST和TTLST测量存在负偏倚。差异可能由FWMRI FOV长度和DEXA高估瘦软组织的可能性来解释。虽然需要更多的开发，但所描述的3 T FWMRI方法结合全自动分割是快速的（<30分钟的总扫描和后处理时间），非侵入性，可重复和成本效益。
Improved understanding of how depot-specific adipose tissue mass predisposes to obesity-related comorbidities could yield new insights into the pathogenesis and treatment of obesity as well as metabolic benefits of weight loss. We hypothesized that three-dimensional contiguous “fat-water” MR imaging (FWMRI) covering the majority of a whole-body field of view (FOV) acquired at 3 Tesla (3T) and coupled with automated segmentation and quantification of amount, type and distribution of adipose and lean soft tissue would show great promise in body composition methodology. Precision of adipose and lean soft tissue measurements in body and trunk regions were assessed for 3T FWMRI and compared to DEXA. Anthropometric, FWMRI and DEXA measurements were obtained in twelve women with BMI 30–39.9 kg/m2. Test-retest results found coefficients of variation for FWMRI that were all under 3%: gross body adipose tissue (GBAT) 0.80%, total trunk adipose tissue (TTAT) 2.08%, visceral adipose tissue (VAT) 2.62%, subcutaneous adipose tissue (SAT) 2.11%, gross body lean soft tissue (GBLST) 0.60%, and total trunk lean soft tissue (TTLST) 2.43%. Concordance correlation coefficients between FWMRI and DEXA were 0.978, 0.802, 0.629, and 0.400 for GBAT, TTAT, GBLST and TTLST, respectively. While Bland Altman plots demonstrated agreement between FWMRI and DEXA for GBAT and TTAT, a negative bias existed for GBLST and TTLST measurements. Differences may be explained by the FWMRI FOV length and potential for DEXA to overestimate lean soft tissue. While more development is necessary, the described 3T FWMRI method combined with fully-automated segmentation is fast (<30 minutes total scan and post-processing time), noninvasive, repeatable and cost effective.
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影响因子：
3.3
作者：
Doneva, Mariya;Boernert, Peter;Lustig, Michael
通讯作者：
Lustig, Michael
影响因子：
6.9
作者：
Bergman, Richard N.;Stefanovski, Darko;Buchanan, Thomas A.;Sumner, Anne E.;Reynolds, James C.;Sebring, Nancy G.;Xiang, Anny H.;Watanabe, Richard M.
通讯作者：
Watanabe, Richard M.
影响因子：
4.4
作者：
Kullberg, Joel;Johansson, Lars;Boernert, Peter
通讯作者：
Boernert, Peter
影响因子：
4.4
作者：
Machann, J;Thamer, C;Schick, F
通讯作者：
Schick, F
DOI：
10.1007/s12265-009-9101-1
发表时间：
2009-09-01
影响因子：
3.4
作者：
Nedungadi, Thekkethil P.;Clegg, Deborah J.
通讯作者：
Clegg, Deborah J.