Department of Nuclear Medicine and PET Research, VU University Medical Center, PO Box 7057, 1007 MB Amsterdam, The Netherlands.
Eur J Nucl Med Mol Imaging. 2011 May;38(5):832-42. doi: 10.1007/s00259-010-1705-9. Epub 2011 Jan 6.
Imaging with positron emission tomography (PET) using (18)F-2-fluoro-2-deoxy-D: -glucose (FDG) plays an increasingly important role for response assessment in oncology. Several methods for quantifying FDG PET results exist. The goal of this study was to analyse and compare various semi-quantitative measures for response assessment with full kinetic analysis, specifically in assessment of novel therapies.
Baseline and response dynamic FDG studies from two different longitudinal studies (study A: seven subjects with lung cancer and study B: six subjects with gastrointestinal cancer) with targeted therapies were reviewed. Quantification of tumour uptake included full kinetic methods, i.e. nonlinear regression (NLR) and Patlak analyses, and simplified measures such as the simplified kinetic method (SKM) and standardized uptake value (SUV). An image-derived input function was used for NLR and Patlak analysis.
There were 18 and 9 lesions defined for two response monitoring studies (A and B). In all cases there was excellent correlation between Patlak- and NLR-derived response (R (2) > 0.96). Percentage changes seen with SUV were significantly different from those seen with Patlak for both studies (p < 0.05). After correcting SUV for plasma glucose, SUV and Patlak responses became similar for study A, but large differences remained for study B. Further analysis revealed that differences in responses amongst methods in study B were primarily due to changes in the arterial input functions.
Use of simplified methods for assessment of drug efficacy or treatment response may provide different results than those seen with full kinetic analysis.
正电子发射断层扫描(PET)使用(18)F-2-氟-2-脱氧-D:-葡萄糖(FDG)进行成像,在肿瘤学中的反应评估中发挥着越来越重要的作用。目前存在几种定量分析 FDG PET 结果的方法。本研究的目的是分析和比较各种半定量测量方法与全动力学分析在评估新疗法中的应用,特别是在评估新疗法中的应用。
回顾了两项靶向治疗的纵向研究(研究 A:7 例肺癌患者;研究 B:6 例胃肠道癌患者)的基线和反应期 FDG 研究。肿瘤摄取的定量包括全动力学方法,即非线性回归(NLR)和 Patlak 分析,以及简化方法,如简化动力学方法(SKM)和标准化摄取值(SUV)。NLR 和 Patlak 分析使用图像衍生的输入函数。
在两个反应监测研究(A 和 B)中分别定义了 18 个和 9 个病变。在所有情况下,Patlak 和 NLR 衍生的反应之间都存在极好的相关性(R(2)>0.96)。在两项研究中,SUV 观察到的百分比变化与 Patlak 观察到的百分比变化均有显著差异(p<0.05)。在用血浆葡萄糖校正 SUV 后,SUV 和 Patlak 的反应在研究 A 中变得相似,但在研究 B 中仍存在较大差异。进一步分析表明,研究 B 中方法之间的反应差异主要是由于动脉输入函数的变化。
使用简化方法评估药物疗效或治疗反应可能会得到与全动力学分析不同的结果。