Futamata Yoshihiro, Akagi Naoyuki, Sugawara Tsukasa, Nakamura Shunichi
Medical Technology Section, Radiation Technological Department, JA Hokkaidoukouseiren Abashiri Kousei Hospital.
Nihon Hoshasen Gijutsu Gakkai Zasshi. 2014 Jan;70(1):41-50. doi: 10.6009/jjrt.2014_jsrt_70.1.41.
Computed tomography colonography (CTC) is a robust and reliable imaging test of the colon. Recent studies show good sensitivity for the identification of nonpolypoid (flat) lesions as well. The purpose of this study was to determine the accuracy and reproducibility of a volume-rendering (VR) and virtual gross pathology (VGP) technique for detecting a polypoid lesion phantom by varying slice thickness. The scan of a simulated house-made phantom was performed using a 16-slice CT scanner with varying combinations of tube voltage (120 kVp), effective exposure (100 mAs), detector configuration (16×0.75 mm), rotation time (0.75 s), helical pitch (0.688, 0.938, 1.066 and 1.188), reconstruction kernel (A, B and C), and section thickness/reconstruction interval (0.8/0.4, 1.0/0.5 and 1.5/0.75 mm). All image data were transferred to a three-dimensional workstation to assess multi-planar reformation (MPR), VR and VGP. Accuracy of volume measurement using the VR technique for quantitative analysis was compared using a paired t-test. Four radiological technologists also independently evaluated the visual score using the VGP technique for qualitative analysis, and their evaluations were compared using one-way analysis of variance with Fisher's protected least significant difference post-hoc test. There was a statistically significant difference in reproducibility between the three different slice thicknesses as to volume measurement and observer performance test (p<0.01 and p<0.05, respectively). Furthermore, the reproducibility improved when using thinner slices. In conclusion, VR and VGP techniques using a slice thickness of 0.8 mm made it possible to maintain accuracy and reproducibility when using CTC to detect polypoid lesions.
计算机断层结肠成像(CTC)是一种对结肠进行的强大且可靠的成像检查。近期研究表明,其对非息肉样(扁平)病变的识别也具有良好的敏感性。本研究的目的是通过改变层厚来确定容积再现(VR)和虚拟大体病理学(VGP)技术检测息肉样病变模型的准确性和可重复性。使用16层CT扫描仪对模拟自制模型进行扫描,扫描参数包括不同的管电压(120 kVp)、有效剂量(100 mAs)、探测器配置(16×0.75 mm)、旋转时间(0.75 s)、螺距(0.688、0.938、1.066和1.188)、重建核(A、B和C)以及层厚/重建间隔(0.8/0.4、1.0/0.5和1.5/0.75 mm)。所有图像数据都传输到三维工作站以评估多平面重组(MPR)、VR和VGP。使用配对t检验比较采用VR技术进行定量分析时体积测量的准确性。四位放射技师还使用VGP技术对视觉评分进行独立评估以进行定性分析,并使用方差分析及Fisher保护最小显著差异事后检验比较他们的评估结果。在体积测量和观察者性能测试方面,三种不同层厚之间的可重复性存在统计学显著差异(分别为p<0.01和p<0.05)。此外,使用更薄层厚时可重复性有所提高。总之,当使用CTC检测息肉样病变时,采用0.8 mm层厚的VR和VGP技术能够保持准确性和可重复性。