Manios G E, Mazonakis M, Voulgaris C, Karantanas A, Damilakis J
Department of Medical Physics, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece.
Department of Radiology, Faculty of Medicine, University of Crete, Heraklion, Crete, Greece.
Eur Radiol. 2016 Mar;26(3):706-13. doi: 10.1007/s00330-015-3865-2. Epub 2015 Jun 14.
To deploy and evaluate a stereological point-counting technique on abdominal CT for the estimation of visceral (VAF) and subcutaneous abdominal fat (SAF) volumes.
Stereological volume estimations based on point counting and systematic sampling were performed on images from 14 consecutive patients who had undergone abdominal CT. For the optimization of the method, five sampling intensities in combination with 100 and 200 points were tested. The optimum stereological measurements were compared with VAF and SAF volumes derived by the standard technique of manual planimetry on the same scans.
Optimization analysis showed that the selection of 200 points along with the sampling intensity 1/8 provided efficient volume estimations in less than 4 min for VAF and SAF together. The optimized stereology showed strong correlation with planimetry (VAF: r = 0.98; SAF: r = 0.98). No statistical differences were found between the two methods (VAF: P = 0.81; SAF: P = 0.83). The 95% limits of agreement were also acceptable (VAF: -16.5%, 16.1%; SAF: -10.8%, 10.7%) and the repeatability of stereology was good (VAF: CV = 4.5%, SAF: CV = 3.2%).
Stereology may be successfully applied to CT images for the efficient estimation of abdominal fat volume and may constitute a good alternative to the conventional planimetric technique.
Abdominal obesity is associated with increased risk of disease and mortality. Stereology may quantify visceral and subcutaneous abdominal fat accurately and consistently. The application of stereology to estimating abdominal volume fat reduces processing time. Stereology is an efficient alternative method for estimating abdominal fat volume.
应用并评估一种基于体视学的点计数技术，用于在腹部CT上估计内脏脂肪（VAF）和腹部皮下脂肪（SAF）体积。
对14例连续接受腹部CT检查的患者图像进行基于点计数和系统抽样的体视学体积估计。为优化该方法，测试了五种抽样强度与100个和200个点的组合。将最佳体视学测量结果与同一扫描中通过手动平面测量标准技术得出的VAF和SAF体积进行比较。
优化分析表明，选择200个点并结合抽样强度1/8，可在不到4分钟的时间内对VAF和SAF进行高效的体积估计。优化后的体视学与平面测量法显示出很强的相关性（VAF：r = 0.98；SAF：r = 0.98）。两种方法之间未发现统计学差异（VAF：P = 0.81；SAF：P = 0.83）。95%的一致性界限也可接受（VAF：-16.5%，16.1%；SAF：-10.8%，10.7%），体视学的重复性良好（VAF：CV = 4.5%，SAF：CV = 3.2%）。
体视学可成功应用于CT图像，以高效估计腹部脂肪体积，可能是传统平面测量技术的良好替代方法。
腹部肥胖与疾病风险和死亡率增加相关。体视学可准确且一致地量化腹部内脏和皮下脂肪。将体视学应用于估计腹部脂肪体积可减少处理时间。体视学是估计腹部脂肪体积的一种有效替代方法。
