Cai Wei, He Baochun, Fan Yingfang, Fang Chihua, Jia Fucang
Zhujiang Hospital, Southern Medical University; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences.
J Appl Clin Med Phys. 2016 Nov 8;17(6):118-127. doi: 10.1120/jacmp.v17i6.6485.
This study was to evaluate the accuracy, consistency, and efficiency of three liver volumetry methods- one interactive method, an in-house-developed 3D medical Image Analysis (3DMIA) system, one automatic active shape model (ASM)-based segmentation, and one automatic probabilistic atlas (PA)-guided segmentation method on clinical contrast-enhanced CT images. Forty-two datasets, including 27 normal liver and 15 space-occupying liver lesion patients, were retrospectively included in this study. The three methods - one semiautomatic 3DMIA, one automatic ASM-based, and one automatic PA-based liver volumetry - achieved an accuracy with VD (volume difference) of -1.69%, -2.75%, and 3.06% in the normal group, respectively, and with VD of -3.20%, -3.35%, and 4.14% in the space-occupying lesion group, respectively. However, the three methods achieved an efficiency of 27.63 mins, 1.26 mins, 1.18 mins on average, respectively, compared with the manual volumetry, which took 43.98 mins. The high intraclass correlation coefficient between the three methods and the manual method indicated an excel-lent agreement on liver volumetry. Significant differences in segmentation time were observed between the three methods (3DMIA, ASM, and PA) and the manual volumetry (p < 0.001), as well as between the automatic volumetries (ASM and PA) and the semiautomatic volumetry (3DMIA) (p < 0.001). The semiautomatic interactive 3DMIA, automatic ASM-based, and automatic PA-based liver volum-etry agreed well with manual gold standard in both the normal liver group and the space-occupying lesion group. The ASM- and PA-based automatic segmentation have better efficiency in clinical use.
本研究旨在评估三种肝脏容积测量方法的准确性、一致性和效率，这三种方法分别是一种交互式方法、一种自主研发的三维医学图像分析（3DMIA）系统、一种基于主动形状模型（ASM）的自动分割方法以及一种基于概率图谱（PA）的自动分割方法，用于临床对比增强CT图像。本研究回顾性纳入了42个数据集，包括27例正常肝脏患者和15例肝脏占位性病变患者。三种方法，即一种半自动3DMIA、一种基于ASM的自动方法和一种基于PA的自动肝脏容积测量方法，在正常组中的体积差异（VD）准确性分别为-1.69%、-2.75%和3.06%，在占位性病变组中的VD分别为-3.20%、-3.35%和4.14%。然而，与耗时43.98分钟的手工容积测量相比，这三种方法的平均效率分别为27.63分钟、1.26分钟和1.18分钟。三种方法与手工方法之间的组内相关系数较高，表明在肝脏容积测量方面具有良好的一致性。三种方法（3DMIA、ASM和PA）与手工容积测量之间在分割时间上存在显著差异（p<0.001），自动容积测量方法（ASM和PA）与半自动容积测量方法（3DMIA）之间也存在显著差异（p<0.001）。半自动交互式3DMIA、基于ASM的自动方法和基于PA的自动肝脏容积测量在正常肝脏组和占位性病变组中均与手工金标准具有良好的一致性。基于ASM和PA的自动分割在临床应用中具有更高的效率。
