St. Catherine's College, University of Oxford, Oxford, United Kingdom.
Snowhill Science Limited, Hong Kong, Hong Kong SAR, China.
Front Endocrinol (Lausanne). 2023 Jul 11;14:1211696. doi: 10.3389/fendo.2023.1211696. eCollection 2023.
In terms of assessing obesity-associated risk, quantification of visceral adipose tissue (VAT) has become increasingly important in risk assessment for cardiovascular and metabolic diseases. However, differences exist in the accuracy of various modalities, with a lack of up-to-date comparison with three-dimensional whole volume assessment.
Using CT or MRI three-dimensional whole volume VAT as a reference, we evaluated the correlation of various commonly used modalities and techniques namely body impedance analysis (BIA), dual-energy x-ray absorptiometry (DXA) as well as single slice CT to establish how these methods compare.
We designed the study in two parts. First, we performed an intra-individual comparison of the 4558 participants from the UK Biobank cohorts with matching data of MRI abdominal body composition, DXA with VAT estimation, and BIA. Second, we evaluated 174 CT scans from the publicly available dataset to assess the correlation of the commonly used single-slice technique compared to three-dimensional VAT volume.
Across the UK Biobank cohort, the DXA-derived VAT measurement correlated better (R 0.94, p<0.0001) than BIA (R 0.49, p<0.0001) with reference three-dimensional volume on MRI. However, DXA-derived VAT correlation was worse for participants with a BMI of < 20 (R = 0.62, p=0.0013). A commonly used single slice method on CT demonstrated a modest correlation (R between 0.51 - 0.64), with best values at L3- and L4 (R L3 = 0.63, p<0.0001; L4 = 0.64, p<0.0001) compared to reference three-dimensional volume. Combining multiple slices yielded a better correlation, with a strong correlation when L2-L3 levels were combined (R = 0.92, p<0.0001).
When deployed at scale, DXA-derived VAT volume measurement shows excellent correlation with three-dimensional volume on MRI based on the UK Biobank cohort. Whereas a single slice CT technique demonstrated moderate correlation with three-dimensional volume on CT, with a stronger correlation achieved when multiple levels were combined.
在评估肥胖相关风险方面,定量评估内脏脂肪组织(VAT)在心血管和代谢疾病风险评估中变得越来越重要。然而,各种方法的准确性存在差异,且缺乏与三维全容积评估的最新比较。
使用 CT 或 MRI 三维全容积 VAT 作为参考,我们评估了各种常用方法和技术(即身体阻抗分析(BIA)、双能 X 射线吸收法(DXA)以及单层 CT)的相关性,以确定这些方法的比较情况。
我们将研究设计为两部分。首先,我们对来自英国生物库队列的 4558 名参与者进行了个体内比较,这些参与者的数据与 MRI 腹部身体成分、带有 VAT 估计的 DXA 和 BIA 相匹配。其次,我们评估了来自公开数据集的 174 份 CT 扫描,以评估常用的单层技术与三维 VAT 容积的相关性。
在整个英国生物库队列中,DXA 衍生的 VAT 测量与参考 MRI 三维容积的相关性更好(R = 0.94,p<0.0001),而 BIA 的相关性更差(R = 0.49,p<0.0001)。对于 BMI<20 的参与者,DXA 衍生的 VAT 相关性更差(R = 0.62,p=0.0013)。CT 上常用的单层方法显示出中等相关性(R 值在 0.51 到 0.64 之间),在 L3 和 L4 处具有最佳值(R L3 = 0.63,p<0.0001;L4 = 0.64,p<0.0001),与参考三维容积相比。结合多个切片可获得更好的相关性,当 L2-L3 水平结合时,相关性很强(R = 0.92,p<0.0001)。
当在英国生物库队列中大规模应用时,DXA 衍生的 VAT 容积测量与 MRI 上的三维容积显示出极好的相关性。虽然单层 CT 技术与 CT 上的三维容积显示出中等相关性,但当结合多个层面时,相关性更强。