scholarly journals Automatic Nasopharyngeal Carcinoma Segmentation Using Fully Convolutional Networks with Auxiliary Paths on Dual-Modality PET-CT Images

2019 ◽  
Vol 32 (3) ◽  
pp. 462-470 ◽  
Author(s):  
Lijun Zhao ◽  
Zixiao Lu ◽  
Jun Jiang ◽  
Yujia Zhou ◽  
Yi Wu ◽  
...  
2019 ◽  
Vol 46 (2) ◽  
pp. 619-633 ◽  
Author(s):  
Zisha Zhong ◽  
Yusung Kim ◽  
Kristin Plichta ◽  
Bryan G. Allen ◽  
Leixin Zhou ◽  
...  

2019 ◽  
Vol 5 (suppl) ◽  
pp. 127-127
Author(s):  
QingLian Wen ◽  
ZhangQiang Xiang

127 Background: To determine the optimum conditions for diagnosis of nasopharyngeal carcinoma, we established VX2 rabbit model to delineate gross target volume (GTV) in different imaging methods. Methods:The orthotopic nasopharyngeal carcinoma (NPC) was established in sixteen New Zealand rabbits. After 7-days inoculation, the rabbits were examined by CT scanning and then sacrificed for pathological examination. To achieve the best delineation, different GTVs of CT, MRI, 18F-FDG PET/CT, and 18F-FLT PET/CT images were correlated with pathological GTV (GTVp). Results: We found 45% and 60% of the maximum standardized uptake value (SUVmax) as the optimal SUV threshold for the target volume of NPC in 18F-FDG PET/CT and 18F-FLT PET/CT images, respectively (GTVFDG45% and GTVFLT60%). Moreover, the GTVMRI and GTVCT were significantly higher than the GTVp ( P ≤ 0.05), while the GTVFDG45% and especially GTVFLT60% were similar to the GTVp ( R = 0.892 and R = 0.902, respectively; P ≤ 0.001). Conclusions: Notably, the results suggested that 18F-FLT PET/CT could reflect the tumor boundaries more accurately than 18F-FDG PET/CT, MRI and CT, which makes 18F-FLT PET-CT more advantageous for the clinical delineation of the target volume in NPC. Keywords: Nasopharyngeal carcinoma; Gross tumor volume; Magnetic resonance imaging, Computed tomography; 18F-FLT PET/CT; 18F-FDG PET/CT


Author(s):  
Zhaofeng Chen ◽  
Tianshuang Qiu ◽  
Yang Tian ◽  
Hongbo Feng ◽  
Yanjun Zhang ◽  
...  

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