摘要目的:探讨使用两种不同输入函数重建氟-18-氟代脱氧葡萄糖( 18F-FDG)正电子发射断层扫描/计算机断层扫描(PET/CT) Patlak多参图像对肺癌病灶定量参数的影响。 方法:回顾性分析在安徽医科大学第一附属医院核医学科完成全身动态 18F-FDG PET/CT扫描的肺癌患者的扫描原始数据，总扫描时间为75 min。采用两种输入函数进行Patlak多参重建：①以0~75 min降主动脉时间－放射性曲线(TAC)为输入函数(IDIF)。②以耶鲁大学研发的基于人群的输入函数(PBIF)。Patlak多参数分析软件分别以上述输入函数重建获得代谢率(MR FDG)、分布容积(DV)图像，感兴趣区法勾画病灶获得多参定量信息包括MR FDG及DV的最大值(max)、峰值(peak)和平均值(mean)，采用配对 t检验进行统计分析。 结果:27例接受全身动态 18F-FDG PET/CT成像的肺癌患者的原始数据，以两种不同输入函数进行Patlak重建，得到肺癌病灶MR FDG－IDIF和MR FDG-PBIF的max、peak及mean值分别为：(0.26 ± 0.15)、(0.19 ± 0.12)、(0.14 ± 0.08)μmol·min －1·ml －1和(0.26 ± 0.15)、(0.20 ± 0.13)、(0.15 ± 0.09)μmol·min －1·ml －1，差异无统计学意义( P>0.05)；DV IDIF和DV PBIF的max、peak及mean值分别为(165.56 ± 99.89)%、(117.66 ± 72.24)%、(62.16 ± 33.65)%和(170.04 ± 103.93)%、(121.91 ± 73.71)%、(65.05 ± 37.17)%，差异无统计学意义( P>0.05)。 结论:本研究显示基于人群的输入函数或可成为难以耐受长时间平卧的肿瘤患者全身动态 18F-FDG PET/CT Patlak多参显像的替代输入函数。

abstractsObjective:To investigate the effect of using two different input functions to reconstruct 18F-FDG PET/CT Patlak multi-parameter images on the quantitative parameters of lung cancer lesions. Methods:The original whole-body dynamic 18F-FDG PET/CT scan data of lung cancer patients in the Department of Nuclear Medicine, First Affiliated Hospital of Anhui Medical University were retrospectively analyzed. The total scan time was 75 min. Two input functions were used for Patlak multi-parameter reconstruction: ① Image-derived input function(IDIF)using the Time-activity curve(TAC)of descending aorta from 0 min to 75 min. ② Population-based input function (PBIF) developed by Yale University. Metabolic rate of FDG (MR FDG) and Distribution volume (DV) images were obtained by Patlak multi-parameter analysis software using the above input functions. The region of interest (ROI) method was used to delineate the lesions to obtain multi-parameter quantitative information, including the max, peak and mean value of MR FDG and DV. Paired t-test was used for statistical analysis. Results:The original data of 27 lung cancer patients who received whole-body dynamic 18F-FDG PET/CT imaging were reconstructed by Patlak with two different input functions. The max, peak and mean values of MR FDG-IDIF and MR FDG-PBIF in lung cancer lesions were as follows: (0.26 ± 0.15), (0.19 ± 0.12), (0.14 ± 0.08)μmol·min -1·ml -1 and (0.26 ± 0.15), ( 0.20 ± 0.13), (0.15 ± 0.09)μmol·min -1·ml -1, with no statistically significant difference between two functions( P > 0.05). The max, peak and mean values of DV IDIF and DV PBIF were (165.56 ± 99.89)%, (117.66 ± 72.24)%, (62.16 ± 33.65)% and(170.04 ± 103.93)%, (121.91 ± 73.71)%, (65.05 ± 37.17)%, with no statistically significant difference between two functions ( P > 0.05). Conclusions:The population-based input function may be an alternative for patients who could not lie supine for long time during whole-body dynamic 18F-FDG PET/CT Patlak multi-parameter imaging.