Volumetric measurement of pericardial adipose tissue from contrast-enhanced coronary computed tomography angiography: a reproducibility study.
Volumetric measurement of pericardial adipose tissue from contrast-enhanced coronary computed tomography angiography: a reproducibility study.
复制标题
从对比增强的冠状动脉层析成像血管造影对心包脂肪组织的体积测量：一项可重复性研究。
DOI：
10.1016/j.jcct.2008.08.008
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发表时间：
2008-09
影响因子：
5.4
通讯作者：
Hoffmann, Udo
中科院分区：
文献类型：
--
作者：
Nichols, John H;Samy, Bharat;Nasir, Khurram;Fox, Caroline S;Schulze, P Christian;Bamberg, Fabian;Hoffmann, Udo
心包脂肪组织可能会产生独特的代谢和心血管风险。心脏多探测器计算机断层扫描（MDCT）成像可以实现心包和胸腔内脂肪组织的准确定位和量化。心包和胸腔内脂肪组织的心电门控高分辨率心脏 MDCT 体积定量的重现性尚未报道。我们纳入了 100 名连续患者（年龄：54.5 ± 12.0 岁，60% 男性），他们在出现急性胸痛后接受了标准增强冠状动脉 CT 评估冠状动脉斑块和狭窄（64 层 MDCT，时间分辨率：210 ms，空间分辨率：0.6 mm，850 mAs，120，kvp）。两名独立观察者使用基于三维分析的半自动分割算法测量胸腔内（IAT）和心包脂肪组织（PAT）。读者间的再现性非常好（相对差异：PAT 为 7.35 ± 7.22%，IAT 为 6.23 ± 4.91%，组内相关性 (ICC) 均为 0.98）。观察者内的再现性也获得了类似的结果（相对差异：PAT 为 5.18 ± 5.19%，IAT 为 4.34 ± 4.12%，ICC 均为 0.99）。这项研究表明，基于 MDCT 的 3D 半自动分割对心包和胸腔内脂肪组织的体积量化具有高度的可重复性。需要进一步的研究来评估体积测量是否可以显着提高肥胖测量对胰岛素抵抗、2 型糖尿病和心血管疾病的预测价值。
Pericardial adipose tissue may exert unique metabolic and cardiovascular risks. Cardiac multi-detector computed tomography (MDCT) imaging may enable accurate localization and quantification of pericardial and intra-thoracic adipose tissue. The reproducibility of ECG-gated high-resolution cardiac MDCT-based volumetric quantification of pericardial and intra-thoracic adipose tissue has not been reported. We included 100 consecutive patients (age: 54.5 ± 12.0 yr, 60% men) who underwent a standard contrast-enhanced coronary CT for the evaluation of coronary artery plaque and stenosis (64-slice MDCT, temporal resolution: 210 ms, spatial resolution: 0.6 mm, 850 mAs, 120, kvp) following a presentation of acute chest pain. Two independent observers measured intra-thoracic (IAT) and pericardial adipose tissue (PAT) using a semiautomatic segmentation algorithm based on three-dimensional analysis. Inter-reader reproducibility was excellent (relative difference: 7.35 ± 7.22% for PAT and 6.23 ± 4.91% for IAT, intra-class correlation (ICC) 0.98 each). Similar results were obtained for intra-observer reproducibility (relative difference: 5.18 ± 5.19% for PAT and 4.34 ± 4.12% for IAT, ICC 0.99 each). This study demonstrates that MDCT-based 3D semiautomatic segmentation for volumetric quantification of pericardial and intra-thoracic adipose tissue is highly reproducible. Further research is warranted to assess whether volumetric measurements may substantially improve the predictive value of obesity measures for insulin resistance, type 2 diabetes mellitus, and cardiovascular diseases.