Kurland Brenda F, Muzi Mark, Peterson Lanell M, Doot Robert K, Wangerin Kristen A, Mankoff David A, Linden Hannah M, Kinahan Paul E
Department of Biostatistics, University of Pittsburgh, Pittsburgh, Pennsylvania
Department of Radiology, University of Washington, Seattle, Washington.
J Nucl Med. 2016 Feb;57(2):226-30. doi: 10.2967/jnumed.115.162289. Epub 2015 Oct 22.
Uptake time (interval between tracer injection and image acquisition) affects the SUV measured for tumors in (18)F-FDG PET images. With dissimilar uptake times, changes in tumor SUVs will be under- or overestimated. This study examined the influence of uptake time on tumor response assessment using a virtual clinical trials approach.
Tumor kinetic parameters were estimated from dynamic (18)F-FDG PET scans of breast cancer patients and used to simulate time-activity curves for 45-120 min after injection. Five-minute uptake time frames followed 4 scenarios: the first was a standardized static uptake time (the SUV from 60 to 65 min was selected for all scans), the second was uptake times sampled from an academic PET facility with strict adherence to standardization protocols, the third was a distribution similar to scenario 2 but with greater deviation from standards, and the fourth was a mixture of hurried scans (45- to 65-min start of image acquisition) and frequent delays (58- to 115-min uptake time). The proportion of out-of-range scans (<50 or >70 min, or >15-min difference between paired scans) was 0%, 20%, 44%, and 64% for scenarios 1, 2, 3, and 4, respectively. A published SUV correction based on local linearity of uptake-time dependence was applied in a separate analysis. Influence of uptake-time variation was assessed as sensitivity for detecting response (probability of observing a change of ≥30% decrease in (18)F-FDG PET SUV given a true decrease of 40%) and specificity (probability of observing an absolute change of <30% given no true change).
Sensitivity was 96% for scenario 1, and ranged from 73% for scenario 4 (95% confidence interval, 70%-76%) to 92% (90%-93%) for scenario 2. Specificity for all scenarios was at least 91%. Single-arm phase II trials required an 8%-115% greater sample size for scenarios 2-4 than for scenario 1. If uptake time is known, SUV correction methods may raise sensitivity to 87%-95% and reduce the sample size increase to less than 27%.
Uptake-time deviations from standardized protocols occur frequently, potentially decreasing the performance of (18)F-FDG PET response biomarkers. Correcting SUV for uptake time improves sensitivity, but algorithm refinement is needed. Stricter uptake-time control and effective correction algorithms could improve power and decrease costs for clinical trials using (18)F-FDG PET endpoints.
摄取时间(示踪剂注射与图像采集之间的间隔)会影响(18)F-FDG PET图像中肿瘤的SUV测量值。摄取时间不同,肿瘤SUV的变化会被低估或高估。本研究采用虚拟临床试验方法研究摄取时间对肿瘤反应评估的影响。
从乳腺癌患者的动态(18)F-FDG PET扫描中估计肿瘤动力学参数,并用于模拟注射后45-120分钟的时间-活性曲线。5分钟的摄取时间框架遵循4种情况:第一种是标准化的静态摄取时间(所有扫描均选择60至65分钟的SUV),第二种是从严格遵守标准化方案的学术PET设施中采样的摄取时间,第三种是与情况2类似的分布,但与标准的偏差更大,第四种是匆忙扫描(图像采集开始于45至65分钟)和频繁延迟(摄取时间为58至115分钟)的混合情况。情况1、2、3和4超出范围的扫描比例(<50或>70分钟,或配对扫描之间相差>15分钟)分别为0%、20%、44%和64%。在单独的分析中应用了基于摄取时间依赖性局部线性的已发表的SUV校正方法。摄取时间变化的影响通过检测反应的敏感性(在真实下降40%的情况下观察到(18)F-FDG PET SUV下降≥30%变化的概率)和特异性(在无真实变化的情况下观察到绝对变化<30%的概率)来评估。
情况1的敏感性为96%,情况4为73%(95%置信区间,70%-76%),情况2为92%(90%-93%)。所有情况的特异性至少为91%。单臂II期试验中,情况2-4所需的样本量比情况1大8%-115%。如果摄取时间已知,SUV校正方法可能会将敏感性提高到87%-95%,并将样本量增加减少到不到27%。
摄取时间偏离标准化方案的情况经常发生,可能会降低(18)F-FDG PET反应生物标志物的性能。对摄取时间进行SUV校正可提高敏感性,但需要改进算法。更严格的摄取时间控制和有效的校正算法可以提高使用(18)F-FDG PET终点的临床试验的效能并降低成本。