Oldan Jorge, He Miao, Wu Teresa, Silva Alvin C, Li Jing, Mitchell J Ross, Pavlicek William M, Roarke Michael C, Hara Amy K
Department of Radiology, Mayo Clinic, 13400 E Shea Blvd, Scottsdale, AZ, 85259, USA.
J Digit Imaging. 2014 Dec;27(6):824-32. doi: 10.1007/s10278-014-9707-y.
We sought to determine whether dual-energy computed tomography (DECT) measurements correlate with positron emission tomography (PET) standardized uptake values (SUVs) in pancreatic adenocarcinoma, and to determine the optimal DECT imaging variables and modeling strategy to produce the highest correlation with maximum SUV (SUVmax). We reviewed 25 patients with unresectable pancreatic adenocarcinoma seen at Mayo Clinic, Scottsdale, Arizona, who had PET-computed tomography (PET/CT) and enhanced DECT performed the same week between March 25, 2010 and December 9, 2011. For each examination, DECT measurements were taken using one of three methods: (1) average values of three tumor regions of interest (ROIs) (method 1); (2) one ROI in the area of highest subjective DECT enhancement (method 2); and (3) one ROI in the area corresponding to PET SUVmax (method 3). There were 133 DECT variables using method 1, and 89 using the other methods. Univariate and multivariate analysis regression models were used to identify important correlations between DECT variables and PET SUVmax. Both R2 and adjusted R2 were calculated for the multivariate model to compensate for the increased number of predictors. The average SUVmax was 5 (range, 1.8-12.0). Multivariate analysis of DECT imaging variables outperformed univariate analysis (r = 0.91; R2 = 0.82; adjusted R2 = 0.75 vs. r < 0.58; adjusted R2 < 0.34). Method 3 had the highest correlation with PET SUVmax (R2 = 0.82), followed by method 1 (R2 = 0.79) and method 2 R2 = 0.57). DECT thus has clinical potential as a surrogate for, or as a complement to, PET in patients with pancreatic adenocarcinoma.
我们试图确定双能计算机断层扫描(DECT)测量值与胰腺腺癌正电子发射断层扫描(PET)标准化摄取值(SUVs)之间是否存在相关性,并确定能与最大SUV(SUVmax)产生最高相关性的最佳DECT成像变量和建模策略。我们回顾了2010年3月25日至2011年12月9日期间在亚利桑那州斯科茨代尔市梅奥诊所就诊的25例不可切除胰腺腺癌患者,这些患者在同一周内接受了PET计算机断层扫描(PET/CT)和增强DECT检查。对于每次检查,使用三种方法之一进行DECT测量:(1)三个肿瘤感兴趣区(ROI)的平均值(方法1);(2)主观DECT增强最高区域的一个ROI(方法2);(3)与PET SUVmax对应的区域的一个ROI(方法3)。方法1有133个DECT变量,其他方法有89个。使用单变量和多变量分析回归模型来确定DECT变量与PET SUVmax之间的重要相关性。为补偿预测变量数量的增加,计算了多变量模型的R2和调整后的R2。平均SUVmax为5(范围1.8 - 12.0)。DECT成像变量的多变量分析优于单变量分析(r = 0.91;R2 = 0.82;调整后R2 = 0.75,相比r < 0.58;调整后R2 < 0.34)。方法3与PET SUVmax的相关性最高(R2 = 0.82),其次是方法1(R2 = 0.79)和方法2(R2 = 0.57)。因此,在胰腺腺癌患者中,DECT作为PET的替代或补充具有临床潜力。