Preliminary protocol for measuring the reproducibility and accuracy of flow values on digital PET/CT systems in [15O]H2O myocardial perfusion imaging using a flow phantom.

IF 3 2区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Reetta Siekkinen, Heidi Partanen, Linda Kukola, Tuula Tolvanen, Andrew Fenwick, Nadia A S Smith, Mika Teräs, Antti Saraste, Jarmo Teuho
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引用次数: 0

Abstract

Background: Several factors may decrease the accuracy of quantitative PET myocardial perfusion imaging (MPI). It is therefore essential to ensure that myocardial blood flow (MBF) values are reproducible and accurate, and to design systematic protocols to achieve this. Until now, no systematic phantom protocols have been available to assess the technical factors affecting measurement accuracy and reproducibility in MPI.

Materials and methods: We implemented a standard measurement protocol, which applies a flow phantom in order to compare image-derived flow values with respect to a ground truth flow value with [15O]H2O MPI performed on both a Discovery MI (DMI-20, GE Healthcare) and a Biograph Vision 600 (Vision-600, Siemens Healthineers) system. Both systems have automatic [15O]H2O radio water generators (Hidex Oy) individually installed, allowing us to also study the differences occurring due to two different bolus delivery systems. To investigate the technical factors contributing to the modelled flow values, we extracted the [15O]H2O bolus profiles, the flow values from the kinetic modeling (Qin and Qout), and finally calculated their differences between test-retest measurements on both systems.

Results: The measurements performed on the DMI-20 system produced Qin and Qout values corresponging to each other as well as to the reference flow value across all test-retest measurements. The repeatability differences on DMI-20 were 2.1% ± 2.6% and 3.3% ± 4.1% for Qin and Qout, respectively. On Vision-600 they were 10% ± 8.4% and 11% ± 10% for Qin and Qout, respectively. The measurements performed on the Vision-600 system showed more variation between Qin and Qout values across test-retest measurements and exceeded 15% difference in 7/24 of the measurements.

Conclusions: A preliminary protocol for measuring the accuracy and reproducibility of flow values in [15O]H2O MPI between digital PET/CT systems was assessed. The test-retest reproducibility falls below 15% in majority of the measurements conducted between two individual injector systems and two digital PET/CT systems. This study highlights the importance of implementing a standardized bolus injection and delivery protocol and importance of assessing technical factors affecting flow value reproducibility, which should be carefully investigated in a multi-center setting.

使用血流模型测量数字 PET/CT 系统在[15O]H2O 心肌灌注成像中血流值的可重复性和准确性的初步方案。
背景:有几个因素可能会降低定量 PET 心肌灌注成像(MPI)的准确性。因此,必须确保心肌血流(MBF)值的可重复性和准确性,并设计系统的方案来实现这一目标。到目前为止,还没有系统的模型方案来评估影响 MPI 测量准确性和可重复性的技术因素:我们实施了一个标准测量方案,该方案应用了一个血流模型,以比较在 Discovery MI(DMI-20,GE Healthcare)和 Biograph Vision 600(Vision-600,Siemens Healthineers)系统上进行的[15O]H2O MPI 的图像衍生血流值与地面真实血流值。这两套系统都单独安装了自动[15O]H2O放射水发生器(Hidex Oy),因此我们还可以研究两种不同的栓剂输送系统导致的差异。为了研究导致模拟流量值的技术因素,我们提取了[15O]H2O栓曲线、动力学建模得出的流量值(Qin 和 Qout),并最终计算了两个系统的重复测试测量值之间的差异:结果:在 DMI-20 系统上进行的测量产生的 Qin 值和 Qout 值相互对应,在所有测试-重复测量中也与参考流量值相互对应。在 DMI-20 上,Qin 和 Qout 的重复性差异分别为 2.1% ± 2.6% 和 3.3% ± 4.1%。在 Vision-600 上,Qin 和 Qout 的重复性差异分别为 10% ± 8.4% 和 11% ± 10%。在 Vision-600 系统上进行的测量显示,Qin 和 Qout 值在测试-重复测量中的差异更大,有 7/24 次测量的差异超过 15%:评估了测量数字 PET/CT 系统之间[15O]H2O MPI 流量值的准确性和可重复性的初步方案。在两个独立注射器系统和两个数字 PET/CT 系统之间进行的大多数测量中,测试-重复再现性低于 15%。这项研究强调了实施标准化栓剂注射和输送方案的重要性,以及评估影响血流值再现性的技术因素的重要性,这些都应在多中心环境中仔细研究。
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来源期刊
EJNMMI Physics
EJNMMI Physics Physics and Astronomy-Radiation
CiteScore
6.70
自引率
10.00%
发文量
78
审稿时长
13 weeks
期刊介绍: EJNMMI Physics is an international platform for scientists, users and adopters of nuclear medicine with a particular interest in physics matters. As a companion journal to the European Journal of Nuclear Medicine and Molecular Imaging, this journal has a multi-disciplinary approach and welcomes original materials and studies with a focus on applied physics and mathematics as well as imaging systems engineering and prototyping in nuclear medicine. This includes physics-driven approaches or algorithms supported by physics that foster early clinical adoption of nuclear medicine imaging and therapy.
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