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首页> 外文期刊>Quantitative Imaging in Medicine and Surgery >Segmentation and characterization of visceral and abdominal subcutaneous adipose tissue on CT with and without contrast medium: influence of 2D- and 3D-segmentation
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Segmentation and characterization of visceral and abdominal subcutaneous adipose tissue on CT with and without contrast medium: influence of 2D- and 3D-segmentation

机译：患有造影介质和无造影介质CT的内脏和腹部皮下脂肪组织的分割及表征：2D-和3D分割的影响

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Background: Adipose tissue is a valuable biomarker. Although validation and correlation to clinical data have mostly been performed on non-enhanced scans (NES), a previous study has shown conversion of values of contrast enhanced scan (CES) into those of NES to be feasible with segmentation of the entire abdomen (3D-segmentation). In this study we analyzed if density and area of abdominal adipose tissue segmented in a single slice (2D-segmentation) of CES may be converted into that of NES. Furthermore, we compared the precision of conversion between 2D- and 3D-segmentation. Methods: Thirty-one multi-phasic abdominal CT examinations at identical scan settings were retrospectively included. Exams included NES (n=31), arterial (ART) (n=23), portal-venous (PVN) (n=10), and/or venous scan (VEN) (n=31). Density and area of visceral (VAT) and subcutaneous adipose tissue (SAT) were quantified semi-automatically with fixed thresholds. For conversion of values from CES into those of NES regression analyses were performed and tested. 2D- and 3D-segmentation were compared with respect to conversion accuracy (normalized deviations of converted NES values from original measurements). Results: After the application of contrast medium 2D-segmented adipose tissue increased in density (max. +5.6±2.4 HU) and decreased in area (max. –10.91%) (10.47%), with few exceptions (P ART) and more marked in VAT than SAT. Density and area in CES correlated very well with NES, allowing for conversion with only small error. While converted density is slightly more precise applying 3D-segmentation, conversion error of quantity was occasionally smaller with 2D-segmentation. Conclusions: Contrast medium changes density and quantity of segmented adipose tissue in differing degrees between compartments, contrast phases and 2D- and 3D-segmentation. However, changes are fairly constant for a given compartment, contrast phase and mode of segmentation. Therefore, conversion of values into those of NES may be achieved with comparable precision for 2D- and 3D-segmentation.
机译：背景：脂肪组织是有价值的生物标志物。尽管对临床数据的验证和相关性主要是在非增强扫描（NES）上进行的，但是先前的研究表明将对比度增强扫描（CES）的值转换为NES，以便与整个腹部的分割是可行的（3D -分割）。在该研究中，我们分析了在CES的单个切片（2D-分段）中分段的腹部脂肪组织的密度和面积可以转化为NE的。此外，我们比较了2D-和3D分段之间的转换精度。方法：回顾性地包括相同扫描设置的三十一阶段腹部CT检查。考试包括NES（n = 31），动脉（ART）（N = 23），门静脉（PVN）（N = 10），和/或静脉扫描（VEN）（n = 31）。内脏（VAT）和皮下脂肪组织（SAT）的密度和面积用固定阈值定量半自动定量。为了将来自CE的值转换为NES回归分析的值进行测试。将2D-和3D分割相对于转换精度进行比较（从原始测量的转换的NES值的标准化偏差）。结果：在施加造影剂的施加后，2D分段脂肪组织的密度增加（最大+ 5.6±2.4胡），面积减少（最大值-10.91％）（10.47％），少数例外（P艺术）和更多标记在增值税上而不是坐着。 CE中的密度和区域与NE非常好，允许仅误差转换。虽然转换的密度略高于应用3D分割的精确，但数量的转换误差偶尔均为2D分割。结论：对比介质在隔室，对比度和2D-和3D分段之间改变分段脂肪组织的密度和数量。然而，对于给定的隔间，对比度相和分割模式，变化是相当常数的。因此，可以通过对2D和3D分割的可比精度来实现将值转换为NE的转换。

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