Im Hyung-Jun, Solaiyappan Meiyappan, Lee Inki, Bradshaw Tyler, Daw Najat C, Navid Fariba, Shulkin Barry L, Cho Steve Y
Radiology, University of Wisconsin Madison, WI, USA.
Graduate School of Convergence Science and Technology, Seoul National University Seoul, Republic of Korea.
Am J Nucl Med Mol Imaging. 2018 Dec 20;8(6):373-386. eCollection 2018.
This study was to validate reliability and clinical utility of a PET tumor segmentation method using multi-level Otsu (MO-PET) in standard National Electrical Manufacturers Association (NEMA) image quality (IQ) phantom and patients with osteosarcoma. The NEMA IQ phantom was prepared with a lesion-to-background ratio (LBR) of either 8:1, 4:1, or 1.5:1. The artificial lesions in the phantom were segmented using MO-PET, gradient-based method (PETedge), relative threshold methods, and background threshold methods. Metabolic tumor volumes (MTVs) using MO-PET and PETedge were named as MTV (MO-PET) and MTV (PETedge), respectively. Among the MTVs using multiple methods, only MTV (MO-PET) and MTV (PETedge) showed excellent agreements with the actual volume of NEMA IQ phantom across the different LBRs (intraclass correlation coefficient, ICC = 0.987, 0.985 in LBR 8:1, 0.981, 0.993 in LBR 4:1 and 0.947, 0.994 in LBR 1.5:1). Repeated measurements of MTV (MO-PET) of the primary tumors showed excellent reproducibility with ICC of 0.994 (0.989-0.997) in patients with osteosarcoma. Also, MTV (MO-PET) was found to be predictive of Event Free Survival (EFS) [Hazard ratio (95% CI) = 6.1 (2.1-17.2), log rank P = 0.0003] in patients with osteosarcoma. We have validated in NEMA IQ phantom that the MTV (MO-PET) is accurate, and importantly, stable and consistent across a range of lesion sizes and LBRs representative of clinical tumor lesions. Furthermore, MTV (MO-PET) showed excellent reproducibility and was predictive for EFS in patients with osteosarcoma.
本研究旨在验证使用多级大津法(MO-PET)的PET肿瘤分割方法在标准美国国家电气制造商协会(NEMA)图像质量(IQ)体模和骨肉瘤患者中的可靠性和临床实用性。制备了NEMA IQ体模,其病变与背景比(LBR)分别为8:1、4:1或1.5:1。使用MO-PET、基于梯度的方法(PETedge)、相对阈值方法和背景阈值方法对体模中的人工病变进行分割。使用MO-PET和PETedge得出的代谢肿瘤体积(MTV)分别命名为MTV(MO-PET)和MTV(PETedge)。在使用多种方法得出的MTV中,只有MTV(MO-PET)和MTV(PETedge)在不同的LBR下与NEMA IQ体模的实际体积表现出极好的一致性(组内相关系数,LBR 8:1时ICC = 0.987、0.985,LBR 4:1时ICC = 0.981、0.993,LBR 1.5:1时ICC = 0.947、0.994)。对骨肉瘤患者原发肿瘤的MTV(MO-PET)进行重复测量,结果显示具有极好的可重复性,ICC为0.994(0.989 - 0.997)。此外,发现MTV(MO-PET)可预测骨肉瘤患者的无事件生存期(EFS)[风险比(95%可信区间)= 6.1(2.1 - 17.2),对数秩检验P = 0.0003]。我们已在NEMA IQ体模中验证MTV(MO-PET)是准确的,重要的是,在一系列代表临床肿瘤病变的病变大小和LBR范围内是稳定且一致的。此外,MTV(MO-PET)表现出极好的可重复性,并且可预测骨肉瘤患者的EFS。