Naziroglu Robiel E, Puylaert Carl A J, Tielbeek Jeroen A W, Makanyanga Jesica, Menys Alex, Ponsioen Cyriel Y, Hatzakis Haralambos, Taylor Stuart A, Stoker Jaap, van Vliet Lucas J, Vos Frans M
1 Department of Imaging Physics, Delft University of Technology, Delft, Netherlands.
2 Department of Radiology, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands.
Br J Radiol. 2017 Jun;90(1074):20160654. doi: 10.1259/bjr.20160654. Epub 2017 May 23.
To evaluate a semi-automatic method for delineation of the bowel wall and measurement of the wall thickness in patients with Crohn's disease.
53 patients with suspected or proven Crohn's disease were selected. Two radiologists independently supervised the delineation of regions with active Crohn's disease on MRI, yielding manual annotations (Ano1, Ano2). Three observers manually measured the maximal bowel wall thickness of each annotated segment. An active contour segmentation approach semi-automatically delineated the bowel wall. For each active region, two segmentations (Seg1, Seg2) were obtained by independent observers, in which the maximum wall thickness was automatically determined. The overlap between (Seg1, Seg2) was compared with the overlap of (Ano1, Ano2) using Wilcoxon's signed rank test. The corresponding variances were compared using the Brown-Forsythe test. The variance of the semi-automatic thickness measurements was compared with the overall variance of manual measurements through an F-test. Furthermore, the intraclass correlation coefficient (ICC) of semi-automatic thickness measurements was compared with the ICC of manual measurements through a likelihood-ratio test.
Patient demographics: median age, 30 years; interquartile range, 25-38 years; 33 females. The median overlap of the semi-automatic segmentations (Seg1 vs Seg2: 0.89) was significantly larger than the median overlap of the manual annotations (Ano1 vs Ano2: 0.72); p = 1.4 × 10. The variance in overlap of the semi-automatic segmentations was significantly smaller than the variance in overlap of the manual annotations (p = 1.1 × 10). The variance of the semi-automated measurements (0.46 mm) was significantly smaller than the variance of the manual measurements (2.90 mm, p = 1.1 × 10). The ICC of semi-automatic measurement (0.88) was significantly higher than the ICC of manual measurement (0.45); p = 0.005.
The semi-automatic technique facilitates reproducible delineation of regions with active Crohn's disease. The semi-automatic thickness measurement sustains significantly improved interobserver agreement. Advances in knowledge: Automation of bowel wall thickness measurements strongly increases reproducibility of these measurements, which are commonly used in MRI scoring systems of Crohn's disease activity.
评估一种半自动方法用于克罗恩病患者肠壁勾勒及肠壁厚度测量。
选取53例疑似或确诊为克罗恩病的患者。两名放射科医生独立监督在MRI上对活动性克罗恩病区域的勾勒,得出手动标注(Ano1、Ano2)。三名观察者手动测量每个标注节段的最大肠壁厚度。一种活动轮廓分割方法半自动勾勒肠壁。对于每个活动区域,由独立观察者获得两个分割结果(Seg1、Seg2),其中自动确定最大肠壁厚度。使用Wilcoxon符号秩检验比较(Seg1,Seg2)之间的重叠与(Ano1,Ano2)之间的重叠。使用Brown-Forsythe检验比较相应的方差。通过F检验比较半自动厚度测量的方差与手动测量的总体方差。此外,通过似然比检验比较半自动厚度测量的组内相关系数(ICC)与手动测量的ICC。
患者人口统计学特征:年龄中位数30岁;四分位间距25 - 38岁;女性33例。半自动分割的中位数重叠率(Seg1对Seg2:0.89)显著大于手动标注的中位数重叠率(Ano1对Ano2:0.72);p = 1.4×10。半自动分割重叠的方差显著小于手动标注重叠的方差(p = 1.1×10)。半自动测量的方差(0.46mm)显著小于手动测量的方差(2.90mm,p = 1.1×10)。半自动测量的ICC(0.88)显著高于手动测量的ICC(0.45);p = 0.005。
半自动技术有助于对活动性克罗恩病区域进行可重复的勾勒。半自动厚度测量显著提高了观察者间的一致性。知识进展:肠壁厚度测量的自动化极大地提高了这些测量的可重复性,这些测量常用于克罗恩病活动的MRI评分系统。