Nichols John H, Samy Bharat, Nasir Khurram, Fox Caroline S, Schulze P Christian, Bamberg Fabian, Hoffmann Udo
Department of Radiology, Massachusetts General Hospital, 165 Cambridge Street, Suite 400, Boston, MA 02114, USA.
J Cardiovasc Comput Tomogr. 2008 Sep-Oct;2(5):288-95. doi: 10.1016/j.jcct.2008.08.008. Epub 2008 Aug 19.
Pericardial adipose tissue may exert unique metabolic and cardiovascular risks in patients. The use of cardiac multidetector computed tomography (MDCT) imaging may enable the accurate localization and quantification of pericardial and intrathoracic adipose tissue. The reproducibility of electrocardiogram-gated high-resolution cardiac MDCT-based volumetric quantification of pericardial and intrathoracic 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) after a presentation of acute chest pain. Two independent observers measured intrathoracic (IAT) and pericardial adipose tissue (PAT) by 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, intraclass correlation 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, intraclass correlation 0.99 each).
This study demonstrates that MDCT-based 3D semiautomatic segmentation for volumetric quantification of PAT and IAT 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.
心包脂肪组织可能给患者带来独特的代谢和心血管风险。使用心脏多排螺旋计算机断层扫描(MDCT)成像可实现心包和胸腔内脂肪组织的准确定位和定量。基于心电图门控高分辨率心脏MDCT的心包和胸腔内脂肪组织容积定量的可重复性尚未见报道。
我们纳入了100例连续患者(年龄54.5±12.0岁,60%为男性),这些患者在出现急性胸痛后接受了标准的对比增强冠状动脉CT检查以评估冠状动脉斑块和狭窄(64排MDCT,时间分辨率:210毫秒,空间分辨率:0.6毫米,850毫安秒,120千伏峰值)。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)。
阅片者间的可重复性极佳(PAT的相对差异:7.35±7.22%,IAT的相对差异:6.23±4.91%,组内相关系数均为0.98)。观察者内可重复性也得到了类似结果(PAT的相对差异:5.18±5.19%,IAT的相对差异:4.34±4.12%,组内相关系数均为0.99)。
本研究表明,基于MDCT的3D半自动分割用于PAT和IAT的容积定量具有高度可重复性。有必要进一步研究以评估容积测量是否可显著提高肥胖测量指标对胰岛素抵抗、2型糖尿病和心血管疾病的预测价值。