Kafouris Pavlos P, Koutagiar Iosif P, Georgakopoulos Alexandros T, Pianou Nikoletta K, Metaxas Marinos G, Spyrou George M, Anagnostopoulos Constantinos D
Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece.
Experimental Surgery, Clinical and Translational Research Centre, Biomedical Research Foundation of the Academy of Athens, Athens, Greece.
Int J Cardiovasc Imaging. 2019 May;35(5):955-964. doi: 10.1007/s10554-018-01514-4. Epub 2019 Jan 31.
To develop and test a model predicting 2-deoxy-2-[F]fluoro-D-glucose ([F]FDG) standardized uptake value (SUV) changes over time in the aorta and the superior vena cava (SVC). Maximum aortic SUV and mean SVC SUV were determined at two time points (T1 and T2) in the ascending (ASC), descending (DSC), abdominal (ABD) aorta, aortic arch (ARC) and SVC of patients who have undergone [F]FDG PET/CT for clinical purposes. For SUV prediction at T2, linear and non-linear models of SUV difference for a given time change were developed in a derivation group. The results were tested in an independent validation group, whilst model reproducibility was tested in patients of the validation group who have undergone a second clinically indicated scan. Applying the linear model in the derivation group, there were no statistically significant differences in measurements obtained in the examined segments: mean differences ranged from 0 ± 0.10 in SVC to 0.01 ± 0.13 in ARC between measured and predicted SUV. In contrast, in the non-linear model, there were statistically significant differences in measurements, except in ARC, with mean differences ranging from 0.04 ± 0.14 in ARC to 0.28 ± 0.13 in ABD. In the validation group using the linear model, there were no statistically significant differences, with mean differences ranging from - 0.01 ± 0.08 in ASC to - 0.03 ± 0.11 in ABD. Regarding reproducibility, mean differences were no statistically significant, ranging from 0.004 ± 0.06 in ASC to - 0.02 ± 0.16 in ABD. We have developed a linear model allowing accurate and reproducible prediction of SUV changes over time in the aorta and SVC.
开发并测试一个模型，用于预测主动脉和上腔静脉（SVC）中2-脱氧-2-[F]氟-D-葡萄糖（[F]FDG）标准化摄取值（SUV）随时间的变化。在因临床目的接受[F]FDG PET/CT检查的患者的升主动脉（ASC）、降主动脉（DSC）、腹主动脉（ABD）、主动脉弓（ARC）和SVC的两个时间点（T1和T2）测定最大主动脉SUV和平均SVC SUV。对于T2时的SUV预测，在一个推导组中建立了给定时间变化的SUV差异的线性和非线性模型。结果在一个独立的验证组中进行测试，同时在接受第二次临床指示扫描的验证组患者中测试模型的可重复性。在推导组中应用线性模型，在所检查节段获得的测量值无统计学显著差异：测量的和预测的SUV之间的平均差异范围从SVC中的0±0.10到ARC中的0.01±0.13。相比之下，在非线性模型中，除ARC外，测量值存在统计学显著差异，平均差异范围从ARC中的0.04±0.14到ABD中的0.28±0.13。在使用线性模型的验证组中，无统计学显著差异，平均差异范围从ASC中的-0.01±0.08到ABD中的-0.03±0.11。关于可重复性，平均差异无统计学显著意义，范围从ASC中的0.004±0.06到ABD中的-0.02±0.16。我们开发了一个线性模型，可准确且可重复地预测主动脉和SVC中SUV随时间的变化。
