Phantom and clinical assessment of small pulmonary nodules using Q.Clear reconstruction on a silicon-photomultiplier-based time-of-flight PET/CT system.

Phantom and clinical assessment of small pulmonary nodules using Q.Clear reconstruction on a silicon-photomultiplier-based time-of-flight PET/CT system.
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DOI:
10.1038/s41598-021-89725-z
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发表时间:
2021-05-14
期刊:
影响因子:
4.6
通讯作者:
Li S
Li S
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Wu Z;Guo B;Huang B;Hao X;Wu P;Zhao B;Qin Z;Xie J;Li S

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为了评价不同正电子发射断层扫描-计算机断层扫描(PET/CT)重建算法的定量准确性,我们测量了体模研究中的恢复系数(RC)和对比度恢复(CR)。该结果对部分容积效应校正(PVC)后的临床评价具有指导作用。采用四种不同的方法重建PET图像:有序子集期望最大化(OSEM)、具有飞行时间(TOF)的OSEM、具有TOF和点扩散函数(PSF)的OSEM以及贝叶斯惩罚似然(BPL,在GE Healthcare的PET/CT中称为Q.Clear)。在临床研究中,测量了26例患者的75个肺小结节(亚厘米组:< 10 mm和中等大小组:10-25 mm)的SUVmax和SUVmean(标准化摄取值的最大值和平均值,SUV)。结果表明,除37 mm球体的RC(P > 0.05)外,Q.Clear产生的RC和CR值均高于其他方法(P <0.05),可以提高量化准确性。Q.Clear重建的亚厘米级FDG阳性肺结节的SUV值与其他算法重建的SUV值有显著性差异(P < 0.001)。在进行PVC后,Q.Clear测量的SUV均值与其他算法测量的SUV均值相比仍存在高度显著性差异(P < 0.001)。我们的研究结果表明,Q.Clear重建算法提高了对真实摄取的定量准确性,这可能会提高PET/CT成像的诊断信心和治疗反应评估,特别是对于亚厘米级肺结节。对于较小的病变,PVC是必不可少的。
To evaluate the quantification accuracy of different positron emission tomography-computed tomography (PET/CT) reconstruction algorithms, we measured the recovery coefficient (RC) and contrast recovery (CR) in phantom studies. The results played a guiding role in the partial-volume-effect correction (PVC) for following clinical evaluations. The PET images were reconstructed with four different methods: ordered subsets expectation maximization (OSEM), OSEM with time-of-flight (TOF), OSEM with TOF and point spread function (PSF), and Bayesian penalized likelihood (BPL, known as Q.Clear in the PET/CT of GE Healthcare). In clinical studies, SUVmax and SUVmean (the maximum and mean of the standardized uptake values, SUVs) of 75 small pulmonary nodules (sub-centimeter group: < 10 mm and medium-size group: 10–25 mm) were measured from 26 patients. Results show that Q.Clear produced higher RC and CR values, which can improve quantification accuracy compared with other methods (P < 0.05), except for the RC of 37 mm sphere (P > 0.05). The SUVs of sub-centimeter fludeoxyglucose (FDG)-avid pulmonary nodules with Q.Clear illustrated highly significant differences from those reconstructed with other algorithms (P < 0.001). After performing the PVC, highly significant differences (P < 0.001) still existed in the SUVmean measured by Q.Clear comparing with those measured by the other algorithms. Our results suggest that the Q.Clear reconstruction algorithm improved the quantification accuracy towards the true uptake, which potentially promotes the diagnostic confidence and treatment response evaluations with PET/CT imaging, especially for the sub-centimeter pulmonary nodules. For small lesions, PVC is essential.
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