Doruyter A G G, Holness J L
NuMeRI Node for Infection Imaging, Central Analytical Facilities, Stellenbosch University, Cape Town, South Africa.
Division of Nuclear Medicine, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
EJNMMI Phys. 2021 Oct 16;8(1):69. doi: 10.1186/s40658-021-00417-z.
Ventilation-perfusion single-photon emission computed tomography (VP SPECT) plays an important role in pulmonary embolism diagnosis. Rapid results may be obtained using same-day ventilation followed by perfusion imaging, but generally requires careful attention to achieving an optimal count rate ratio (P/V ratio) of ≥ 3:1. This study investigated whether the ratio of counts simultaneously acquired in adjacent primary and Compton scatter energy windows (E) on V SPECT was predictive of final normalised perfusion count rate (PCR) on P SPECT using [Tc]Tc-macroaggregated albumin (MAA), thus allowing for optimisation of P/V ratios.
Same-day VP SPECT studies acquired using standard protocols in adult patients during a 2-year period (training dataset) were assessed. Studies were included provided they were acquired with correct imaging parameters, and injection site imaging and laboratory records were available for quality control and normalised count rate corrections. Extraction of DICOM information, and linear regression were performed using custom Python and R scripts. A predictive tool was developed in Microsoft Excel. This tool was then validated using a second (validation) dataset of same-day studies acquired over a subsequent 7-month period. Accuracy of the prediction tool was assessed by calculating the mean absolute percentage error (MAPE).
Of 643 studies performed, the scans of 342 participants (median age 30.4 years, 318 female) were included in the training dataset, the analysis of which yielded a significant regression equation (F(1,340) = 1057.3, p < 0.0001), with an adjusted R of 0.756 and MSE of 0.001089. A prediction tool designed for routine clinical use was developed for predicting final P/V ratio. Of an additional 285 studies, 198 were included in the second (validation) dataset (median age 29.7 years, 188 female). The Excel-based tool was shown to be 91% accurate (MAPE: 9%) in predicting P/V ratio.
The relationship between the ratio of simultaneously acquired counts in adjacent energy windows on V SPECT and perfusion count rate after administration of a known activity of [Tc]Tc-MAA can be linearly approximated. A predictive tool based on this work may assist in optimising the dose and timing of [Tc]Tc-MAA administration in same-day studies to the benefit of patients and workflows.
通气-灌注单光子发射计算机断层扫描(VP SPECT)在肺栓塞诊断中起着重要作用。采用同日通气后灌注成像可快速获得结果,但通常需要密切关注以实现≥3:1的最佳计数率比(P/V比)。本研究调查了V SPECT上相邻主能窗和康普顿散射能窗(E)同时采集的计数比是否能预测使用[锝]Tc-大聚合白蛋白(MAA)的P SPECT上最终的标准化灌注计数率(PCR),从而实现P/V比的优化。
评估了在两年期间成年患者中使用标准方案进行的同日VP SPECT研究(训练数据集)。纳入的研究需具备正确的成像参数,且有注射部位成像和实验室记录用于质量控制和标准化计数率校正。使用自定义的Python和R脚本进行DICOM信息提取和线性回归。在Microsoft Excel中开发了一个预测工具。然后使用后续7个月期间进行的同日研究的第二个(验证)数据集对该工具进行验证。通过计算平均绝对百分比误差(MAPE)评估预测工具的准确性。
在进行的643项研究中,342名参与者(中位年龄30.4岁,318名女性)的扫描结果纳入训练数据集,对其分析得出一个显著的回归方程(F(1,340) = 1057.3,p < 0.0001),调整后的R为0.756,均方误差为0.001089。开发了一种用于常规临床使用的预测工具来预测最终的P/V比。在另外285项研究中,198项纳入第二个(验证)数据集(中位年龄为29.7岁,188名女性)。基于Excel的工具在预测P/V比方面显示出91%的准确率(MAPE:9%)。
V SPECT上相邻能量窗同时采集的计数比与给予已知活度的[锝]Tc-MAA后的灌注计数率之间的关系可以线性近似。基于这项工作的预测工具可能有助于在同日研究中优化[锝]Tc-MAA的给药剂量和时间,从而使患者受益并优化工作流程。