New York Obesity Nutrition Research Center, St. Luke's-Roosevelt Hospital and Institute of Human Nutrition, Columbia University, New York, New York, USA.
Obesity (Silver Spring). 2012 Dec;20(12):2458-63. doi: 10.1038/oby.2012.168. Epub 2012 Jun 25.
Earlier cross-sectional studies found that a single magnetic resonance imaging (MRI) slice predicts total visceral and subcutaneous adipose tissue (VAT and SAT) volumes well. We sought to investigate the accuracy of trunk single slice imaging in estimating changes of total VAT and SAT volume in 123 overweight and obese subjects who were enrolled in a 24-week CB-1R inverse agonist clinical trial (weight change, -7.7 ± 5.3 kg; SAT change, -5.4 ± 4.9 l, VAT change, -0.8 ± 1.0 l). VAT and SAT volumes at baseline and 24 weeks were derived from whole-body MRI images. The VAT area 5-10 cm above L(4)-L(5) (A(+5-10)) (R(2) = 0.59-0.70, P < 0.001) best predicted changes in VAT volume but the strength of these correlations was significantly lower than those at baseline (R(2) = 0.85-0.90, P < 0.001). Furthermore, the L(4)-L(5) slice poorly predicted VAT volume changes (R(2) = 0.24-0.29, P < 0.001). Studies will require 44-69% more subjects if (A(+5-10)) is used and 243-320% more subjects if the L(4)-L(5) slice is used for equivalent power of multislice total volume measurements of VAT changes. Similarly, single slice imaging predicts SAT loss less well than cross-sectional SAT (R(2) = 0.31-0.49 vs. R(2) = 0.52-0.68, P < 0.05). Results were the same when examined in men and women separately. A single MRI slice 5-10 cm above L(4)-L(5) is more powerful than the traditionally used L(4)-L(5) slice in detecting VAT changes, but in general single slice imaging poorly predicts VAT and SAT changes during weight loss. For certain study designs, multislice imaging may be more cost-effective than single slice imaging in detecting changes for VAT and SAT.
先前的横断面研究发现，单个磁共振成像 (MRI) 切片可很好地预测总内脏和皮下脂肪组织 (VAT 和 SAT) 体积。我们旨在研究在 123 名超重和肥胖患者中，使用躯干单次切片成像来估计 24 周 CB-1R 反向激动剂临床试验中总 VAT 和 SAT 体积变化的准确性，这些患者入组该试验后体重减轻了 7.7 ± 5.3kg（SAT 变化，-5.4 ± 4.9l，VAT 变化，-0.8 ± 1.0l）。基线和 24 周时的 VAT 和 SAT 体积是从全身 MRI 图像中得出的。L(4)-L(5)上方 5-10cm 的 VAT 区域（A(+5-10)）（R(2) = 0.59-0.70，P < 0.001）可较好地预测 VAT 体积的变化，但这些相关性的强度明显低于基线时的强度（R(2) = 0.85-0.90，P < 0.001）。此外，L(4)-L(5)切片不能很好地预测 VAT 体积的变化（R(2) = 0.24-0.29，P < 0.001）。如果使用 A(+5-10)，则研究需要多 44-69%的受试者；如果使用 L(4)-L(5)切片，则研究需要多 243-320%的受试者，才能达到 VAT 体积变化的多层总容积测量的等效功率。同样，与横断面 SAT 相比，单次切片成像对 SAT 损失的预测效果较差（R(2) = 0.31-0.49 与 R(2) = 0.52-0.68，P < 0.05）。当按性别分别检查时，结果相同。L(4)-L(5)上方 5-10cm 的单个 MRI 切片比传统的 L(4)-L(5)切片更能检测到 VAT 的变化，但总体而言，在减肥期间，单次切片成像对 VAT 和 SAT 的变化预测效果较差。对于某些研究设计，在检测 VAT 和 SAT 的变化方面，多层成像可能比单次切片成像更具成本效益。
