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迭代重建结合背景校正可改善腹主动脉瘤患者 [F]-NaF PET/CT 图像的定量分析。

Iterative reconstruction incorporating background correction improves quantification of [F]-NaF PET/CT images of patients with abdominal aortic aneurysm.

机构信息

Biomedical Imaging Science Department, Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, LS2 9NL, UK.

Division of Radiopharmaceutical Sciences, Department of Radiology, Weil Cornell Medical College of Cornell University, New York, NY, USA.

出版信息

J Nucl Cardiol. 2021 Oct;28(5):1875-1886. doi: 10.1007/s12350-019-01940-4. Epub 2019 Nov 11.

Abstract

BACKGROUND

A confounding issue in [F]-NaF PET/CT imaging of abdominal aortic aneurysms (AAA) is the spill in contamination from the bone into the aneurysm. This study investigates and corrects for this spill in contamination using the background correction (BC) technique without the need to manually exclude the part of the AAA region close to the bone.

METHODS

Seventy-two (72) datasets of patients with AAA were reconstructed with the standard ordered subset expectation maximization (OSEM) algorithm incorporating point spread function (PSF) modelling. The spill in effect in the aneurysm was investigated using two target regions of interest (ROIs): one covering the entire aneurysm (AAA), and the other covering the aneurysm but excluding the part close to the bone (AAA). ROI analysis was performed by comparing the maximum SUV in the target ROI (SUV(T)), the corrected cSUV (SUV(T) - SUV(B)) and the target-to-blood ratio (TBR = SUV(T)/SUV(B)) with respect to the mean SUV in the right atrium region.

RESULTS

There is a statistically significant higher [F]-NaF uptake in the aneurysm than normal aorta and this is not correlated with the aneurysm size. There is also a significant difference in aneurysm uptake for OSEM and OSEM + PSF (but not OSEM + PSF + BC) when quantifying with AAA and AAA due to the spill in from the bone. This spill in effect depends on proximity of the aneurysms to the bone as close aneurysms suffer more from spill in than farther ones.

CONCLUSION

The background correction (OSEM + PSF + BC) technique provided more robust AAA quantitative assessments regardless of the AAA ROI delineation method, and thus it can be considered as an effective spill in correction method for [F]-NaF AAA studies.

摘要

背景

在腹部主动脉瘤(AAA)的 [F]-NaF PET/CT 成像中,一个混杂问题是骨中的污染溢出到动脉瘤中。本研究使用背景校正(BC)技术调查和校正这种污染溢出,而无需手动排除靠近骨骼的 AAA 区域的部分。

方法

对 72 例 AAA 患者的数据集进行了重建,采用标准有序子集期望最大化(OSEM)算法,结合点扩散函数(PSF)建模。使用两个感兴趣区(ROI)研究动脉瘤中的溢出效应:一个覆盖整个动脉瘤(AAA),另一个覆盖动脉瘤但不包括靠近骨骼的部分(AAA)。通过比较目标 ROI(SUV(T))中的最大 SUV、校正后的 cSUV(SUV(T) - SUV(B))和目标与血液的比值(TBR = SUV(T)/SUV(B))与右心房区域的平均 SUV 来进行 ROI 分析。

结果

与正常主动脉相比,动脉瘤中有统计学意义的更高的 [F]-NaF 摄取,并且与动脉瘤的大小无关。在用 AAA 和 AAA 进行定量时,OSEM 和 OSEM+PSF(但不是 OSEM+PSF+BC)之间的动脉瘤摄取也存在显著差异,这是由于骨中的溢出所致。这种溢出效应取决于动脉瘤与骨骼的接近程度,靠近骨骼的动脉瘤比远离骨骼的动脉瘤受到更多的溢出影响。

结论

背景校正(OSEM+PSF+BC)技术提供了更稳健的 AAA 定量评估,无论 AAA ROI 描绘方法如何,因此可以被认为是 [F]-NaF AAA 研究中有效的溢出校正方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63cd/8648624/2418065c94f6/12350_2019_1940_Fig1_HTML.jpg

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