Nakazawa Shuto, Umeda Takuro, Miyaji Noriaki, Miwa Kenta, Wagatsuma Kei, Motegi Kazuki, Takiguchi Tomohiro, Terauchi Takashi, Koizumi Mitsuru, Usui Keisuke, Sasai Keisuke
Department of Nuclear Medicine, Cancer Institute Hospital of Japanese Foundation for Cancer Research.
Department of Radiation Oncology, Graduate School of Medicine, Juntendo University.
Nihon Hoshasen Gijutsu Gakkai Zasshi. 2017;73(8):617-625. doi: 10.6009/jjrt.2017_JSRT_73.8.617.
The present study aimed to clarify gross tumor volume (GTV) contouring accuracy at the diaphragm boundary using respiratory-gated PET/CT.
The lung/diaphragm boundary was simulated using a phantom containing F solution (10.6 kBq/mL). Tumors were simulated using spheres (diameter, 11-38 mm) containing F and located at the positions of the lungs and liver. The tumor background ratios (TBR) were 2, 4, and 8. The phantom was moved from the superior to inferior direction with a 20-mm motion displacement at 3.6 s intervals. The recovery coefficient (RC), volume RC (VRC), and standardized uptake value (SUV) threshold were calculated using stationary, non-gated (3D), and gated (4D) PET/CT.
In lung cancer simulation, RC and VRC in 3D PET images were, respectively, underestimated and overestimated in smaller tumors, whereas both improved in 4D PET images regardless of tumor size and TBR. The optimal SUV threshold was about 30% in 4D PET images. In liver cancer simulation, RC and VRC were, respectively, underestimated and overestimated in smaller tumors, and when the TBR was lower, but both improved in 4D PET images when tumors were >17 mm and the TBR was >4. The optimal SUV threshold tended to depend on the TBR.
The contouring accuracy of GTV was improved by considering TBR and using an optimal SUV threshold acquired from 4D PET images.
本研究旨在阐明使用呼吸门控PET/CT在膈肌边界处的肿瘤总体积(GTV)勾画准确性。
使用含有F溶液(10.6 kBq/mL)的体模模拟肺/膈肌边界。使用含有F且位于肺和肝脏位置的球体(直径11 - 38 mm)模拟肿瘤。肿瘤背景比(TBR)分别为2、4和8。体模以20 mm的运动位移从上方到下方以3.6 s的间隔移动。使用静态、非门控(3D)和门控(4D)PET/CT计算恢复系数(RC)、体积恢复系数(VRC)和标准化摄取值(SUV)阈值。
在肺癌模拟中,3D PET图像中的RC和VRC在较小肿瘤中分别被低估和高估,而在4D PET图像中,无论肿瘤大小和TBR如何,两者均有所改善。4D PET图像中的最佳SUV阈值约为30%。在肝癌模拟中,RC和VRC在较小肿瘤中分别被低估和高估,且当TBR较低时也是如此,但当肿瘤>17 mm且TBR>4时,4D PET图像中的两者均有所改善。最佳SUV阈值往往取决于TBR。
通过考虑TBR并使用从4D PET图像获得的最佳SUV阈值,GTV的勾画准确性得到了提高。