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SPECT/CT 中 SUV 测量的准确性评估:一项体模研究。

Accuracy Assessment of SUV Measurements in SPECT/CT: A Phantom Study.

机构信息

Oncological and Radiological Science Cluster, Advanced Medical and Dental Institute, SAINS@BERTAM, Universiti Sains Malaysia, Penang, Malaysia.

Department of Nuclear Medicine, Penang Hospital, Penang, Malaysia; and.

出版信息

J Nucl Med Technol. 2021 Sep;49(3):250-255. doi: 10.2967/jnmt.120.259168. Epub 2021 Mar 15.

Abstract

Advances in iterative image reconstruction enable absolute quantification of SPECT/CT studies by incorporating compensations for collimator-detector response, attenuation, and scatter. This study aimed to assess the quantitative accuracy of SPECT/CT based on different levels of Tc activity (low/high) using different SUV metrics (SUV, SUV, SUV, and SUV [the average values that include pixels greater than 60% and 75% of the SUV in the volume of interest, respectively]). A Jaszczak phantom equipped with 6 fillable spheres was set up with low and high activity ratios of 1:4 and 1:10 (background-to-sphere) on background activities of 10 and 60 kBq/mL, respectively. The fixed-size volume of interest based on the diameter of each sphere was drawn on SPECT images using various metrics for SUV quantification purposes. The convergence of activity concentration was dependent on the number of iterations and application of postfiltering. For the background-to-sphere ratio of 1:10 with a low background activity concentration, the SUV metric showed an underestimation of about 38% from the actual SUV, and SUV exhibited an overestimation of about 24% for the largest sphere diameter. Meanwhile, bias reductions of as much as -6% and -7% for SUV and SUV, respectively, were observed. SUV gave a more accurate reading than the others, although points that exceeded the actual value were detected. At 1:4 and 1:10 background activity of 10 kBq/mL, a low activity concentration attained a value close to the actual ratio. Use of 2 iterations and 10 subsets without postfiltering gave the most accurate values for reconstruction and the best image overall. SUV is the best metric in a high- or low-contrast-ratio phantom with at least 2 iterations, 10 subsets, and no postfiltering.

摘要

迭代图像重建的进步使得可以通过对准直器-探测器响应、衰减和散射进行补偿来对 SPECT/CT 研究进行绝对定量。本研究旨在使用不同的 SUV 指标(SUV、SUV、SUV 和 SUV[分别包括感兴趣体积中大于 60%和 75%SUV 的像素的平均值])评估基于不同 Tc 活度(低/高)的 SPECT/CT 的定量准确性。一个配备 6 个可填充球体的 Jaszczak 体模,在背景活动分别为 10 和 60 kBq/mL 的情况下,设置了背景-球体的活度比为 1:4 和 1:10(低/高)。使用各种 SUV 量化指标,在 SPECT 图像上基于每个球体的直径绘制固定大小的感兴趣体积。对于背景-球体比为 1:10 且背景活度浓度低的情况,SUV 指标显示实际 SUV 的低估约为 38%,而 SUV 显示最大球体直径的高估约为 24%。同时,SUV 和 SUV 的偏差分别减少了约 6%和 7%。SUV 比其他指标提供了更准确的读数,尽管检测到了超过实际值的点。在背景活度为 10 kBq/mL 的 1:4 和 1:10 时,低活度浓度接近实际比值。使用 2 次迭代和 10 个子集且不进行后滤波可获得最准确的重建值和最佳的整体图像。在高或低对比度比体模中,至少进行 2 次迭代、10 个子集且不进行后滤波时,SUV 是最佳指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ff7/8712636/a6e262c4640d/jnmt259168absf1.jpg

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