^(18)F-FDG PET/CT贝叶斯正则化似然重建算法对肿瘤定量参数的影响

Impact of Bayesian penalized likelihood reconstruction algorithm on ^(18)F-FDG PET/CT tumor quantitative parameters

目的观察贝叶斯正则化似然(BPL)重建算法对恶性肿瘤病灶^(18) F-FDG PET/CT定量参数的影响。方法纳入80例恶性肿瘤患者(206个病灶),采用飞行时间(TOF)+点扩散函数(PSF)+BPL(BPL组)和TOF+PSF(非BPL组)算法重建PET/CT图像,比较组间病灶最大标准摄取值(SUV max)、平均标准摄取值(SUV mean)、信号/本底比值(SBR)及肿瘤代谢体积(MTV);根据直径将病灶分为<10 mm组(n=84)及≥10 mm组(n=122),比较组间定量参数差值。结果BPL组病灶SUV max、SUV mean及SBR均明显高于非BPL组(P均<0.05),而MTV明显低于非BPL组(P<0.05)。直径<10 mm组病灶SUV max、SUV mean及SBR差值均明显大于≥10 mm组(P均<0.05)。结论采用BPL算法得出的肿瘤标准摄取值(SUV)高于其他算法,尤其对于直径<10 mm病灶;基于BPL算法重建图像鉴别诊断良、恶性肿瘤时,应上调SUV阈值。

Objective To observe the impact of Bayesian penalized likelihood(BPL)reconstruction algorithm on^(18)F-FDG PET/CT quantitative parameters of malignant tumors.Methods Eighty patients with 206 lesions of malignant tumors were enrolled.Time of flight(TOF)+point spread function(PSF)+BPL were performed in BPL group,TOF+PSF were performed in non-BPL group to reconstruct PET/CT images.The maximum standard uptake value(SUV_(max)),the mean standard uptake value(SUV_(mean)),signal background ratio(SBR)and metabolic tumor volume(MTV)of the lesions were compared between groups.Then the lesions were divided into<10 mm group(n=84)and≥10 mm group(n=122)according to the diameters,and the quantitative parameter differences were compared between groups.Results The SUV_(max),SUV_(mean) and SBR of lesions in BPL group were all significantly higher than those in non-BPL group(all P<0.05),but MTV of lesions in BPL group was significantly lower than that in non-BPL group(P<0.05).The differences of SUV_(max),SUV_(mean) and SBR in<10 mm group were significantly greater than those in≥10 mm group(all P<0.05).Conclusion Tumor standard uptake value calculated using BPL algorithm might be higher than that using other algorithms,especially for lesions<10 mm.The threshold should of SUV based on BPL algorithm should be raised for differential diagnosis of benign and malignant tumors.