【摘要】 目的观察贝叶斯正则化似然（BPL）重建算法对恶性肿瘤病灶¹⁸F-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。更多还原

【Abstract】 Objective To observe the impact of Bayesian penalized likelihood（BPL） reconstruction algorithm on ¹⁸F-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.更多还原