Wesolowski Carl A, Wanasundara Surajith N, Wesolowski Michal J, Erbas Belkis, Babyn Paul S
Department of Medical Imaging, Royal University Hospital, College of Medicine, University of Saskatchewan, 103 Hospital Drive, Saskatoon, SK, S7N 0W8, Canada.
Nuclear Medicine, Department of Radiology, Faculty of Medicine, Memorial University of Newfoundland, 300 Prince Philip Drive, St. John's, NL, A1B 3X7, Canada.
EJNMMI Phys. 2016 Dec;3(1):31. doi: 10.1186/s40658-016-0166-z. Epub 2016 Dec 16.
The convolution approach to thyroid time-activity curve (TAC) data fitting with a gamma distribution convolution (GDC) TAC model following bolus intravenous injection is presented and applied to Tc-MIBI data. The GDC model is a convolution of two gamma distribution functions that simultaneously models the distribution and washout kinetics of the radiotracer. The GDC model was fitted to thyroid region of interest (ROI) TAC data from 1 min per frame Tc-MIBI image series for 90 min; GDC models were generated for three patients having left and right thyroid lobe and total thyroid ROIs, and were contrasted with washout-only models, i.e., less complete models. GDC model accuracy was tested using 10 Monte Carlo simulations for each clinical ROI.
The nine clinical GDC models, obtained from least counting error of counting, exhibited corrected (for 6 parameters) fit errors ranging from 0.998% to 1.82%. The range of all thyroid mean residence times (MRTs) was 212 to 699 min, which from noise injected simulations of each case had an average coefficient of variation of 0.7% and a not statistically significant accuracy error of 0.5% (p = 0.5, 2-sample paired t test). The slowest MRT value (699 min) was from a single thyroid lobe with a tissue diagnosed parathyroid adenoma also seen on scanning as retained marker. The two total thyroid ROIs without substantial pathology had MRT values of 278 and 350 min overlapping a published Tc-MIBI thyroid MRT value. One combined value and four unrelated washout-only models were tested and exhibited R-squared values for MRT with the GDC, i.e., a more complete concentration model, ranging from 0.0183 to 0.9395.
The GDC models had a small enough TAC noise-image misregistration (0.8%) that they have a plausible use as simulations of thyroid activity for querying performance of other models such as washout models, for altered ROI size, noise, administered dose, and image framing rates. Indeed, of the four washout-only models tested, no single model approached the apparent accuracy of the GDC model using only 90 min of data. Ninety minutes is a long gamma-camera acquisition time for a patient, but a short a time for most kinetic models. Consequently, the results should be regarded as preliminary.
介绍了在静脉注射团注后,使用伽马分布卷积(GDC)甲状腺时间-活性曲线(TAC)模型对甲状腺TAC数据进行拟合的卷积方法,并将其应用于Tc-MIBI数据。GDC模型是两个伽马分布函数的卷积,可同时模拟放射性示踪剂的分布和洗脱动力学。将GDC模型拟合到来自90分钟的每分钟一帧的Tc-MIBI图像系列的甲状腺感兴趣区域(ROI)TAC数据;为三名患有左右甲状腺叶和全甲状腺ROI的患者生成了GDC模型,并与仅洗脱模型(即不太完整的模型)进行了对比。使用针对每个临床ROI的10次蒙特卡罗模拟测试了GDC模型的准确性。
从计数的最小误差获得的九个临床GDC模型,显示出校正后的(针对6个参数)拟合误差范围为0.998%至1.82%。所有甲状腺平均滞留时间(MRT)的范围为212至699分钟,根据每个病例的噪声注入模拟,其平均变异系数为0.7%,准确性误差为0.5%(p = 0.5,双样本配对t检验),差异无统计学意义。最慢的MRT值(699分钟)来自单个甲状腺叶,其组织诊断为甲状旁腺腺瘤,在扫描中也可见为保留标记物。两个无实质性病变的全甲状腺ROI的MRT值分别为278和350分钟,与已发表的Tc-MIBI甲状腺MRT值重叠。测试了一个组合值和四个不相关的仅洗脱模型,其与GDC(即更完整的浓度模型)的MRT的R平方值范围为0.0183至0.9395。
GDC模型具有足够小的TAC噪声-图像配准误差(0.8%),因此它们可以合理地用作甲状腺活性模拟,以查询其他模型(如洗脱模型)在ROI大小、噪声、给药剂量和图像帧率改变时的性能。实际上,在测试的四个仅洗脱模型中,没有一个模型仅使用90分钟的数据就能达到GDC模型的明显准确性。90分钟对于患者来说是较长的伽马相机采集时间,但对于大多数动力学模型来说是较短的时间。因此,这些结果应被视为初步的。