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使用基于环形碲锌镉(CZT)相机的定量肺SPECT/CT成像进行个性化剂量测定。

Quantitative Lu SPECT/CT imaging for personalized dosimetry using a ring-shaped CZT-based camera.

作者信息

Danieli Rachele, Stella Martina, Leube Julian, Tran-Gia Johannes, Marin Clementine, Uribe Carlos F, Vanderlinden Bruno, Reynaert Nick, Flamen Patrick, Levillain Hugo

机构信息

Department of Medical Physics, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (H.U.B), Université Libre de Bruxelles (ULB), Brussels, Belgium.

Radiophysics and MRI Physics Laboratory, Université Libre de Bruxelles (ULB), Brussels, Belgium.

出版信息

EJNMMI Phys. 2023 Oct 18;10(1):64. doi: 10.1186/s40658-023-00586-z.

Abstract

BACKGROUND

Dosimetry after radiopharmaceutical therapy with Lu (Lu-RPT) relies on quantitative SPECT/CT imaging, for which suitable reconstruction protocols are required. In this study, we characterized for the first time the quantitative performance of a ring-shaped CZT-based camera using two different reconstruction algorithms: an ordered subset expectation maximization (OSEM) and a block sequential regularized expectation maximization (BSREM) combined with noise reduction regularization. This study lays the foundations for the definition of a reconstruction protocol enabling accurate dosimetry for patients treated with Lu-RPT.

METHODS

A series of Lu-filled phantoms were acquired on a StarGuide™ (GE HealthCare), with energy and scatter windows centred at 208 (± 6%) keV and 185 (± 5%) keV, respectively. Images were reconstructed with the manufacturer implementations of OSEM (GE-OSEM) and BSREM (Q.Clear) algorithms, and various combinations of iterations and subsets. Additionally, the manufacturer-recommended Q.Clear-based reconstruction protocol was evaluated. Quantification accuracy, measured as the difference between the SPECT-based and the radionuclide calibrator-based activity, and noise were evaluated in a large cylinder. Recovery coefficients (RCs) and spatial resolution were assessed in a NEMA IEC phantom with sphere inserts. The reconstruction protocols considered suitable for clinical applications were tested on a cohort of patients treated with [Lu]Lu-PSMA-I&T.

RESULTS

The accuracy of the activity from the cylinder, although affected by septal penetration, was < 10% for all reconstructions. Both algorithms featured improved spatial resolution and higher RCs with increasing updates at the cost of noise build-up, but Q.Clear outperformed GE-OSEM in reducing noise accumulation. When the reconstruction parameters were carefully selected, similar values for noise (0.15), spatial resolution (1 cm) and RCs were found, irrespective of the reconstruction algorithm. Analogue results were found in patients.

CONCLUSIONS

Accurate activity quantification is possible when imaging Lu with StarGuide™. However, the impact of septal penetration requires further investigations. GE-OSEM is a valid alternative to the recommended Q.Clear reconstruction algorithm, featuring comparable performances assessed on phantoms and patients.

摘要

背景

镥(Lu)放射性药物治疗后的剂量测定依赖于定量SPECT/CT成像,这需要合适的重建协议。在本研究中,我们首次使用两种不同的重建算法对基于环形CZT的相机的定量性能进行了表征:有序子集期望最大化(OSEM)和结合降噪正则化的块序贯正则化期望最大化(BSREM)。本研究为定义一种能够对接受Lu放射性药物治疗的患者进行准确剂量测定的重建协议奠定了基础。

方法

在StarGuide™(GE医疗)上采集了一系列充满镥的体模,能量窗和散射窗分别以208(±6%)keV和185(±5%)keV为中心。使用OSEM(GE-OSEM)和BSREM(Q.Clear)算法的制造商实现以及不同的迭代和子集组合对图像进行重建。此外,还评估了制造商推荐的基于Q.Clear的重建协议。在一个大圆柱体中评估了以基于SPECT的活性与基于放射性核素校准器的活性之间的差异来衡量的定量准确性和噪声。在带有球体插入物的NEMA IEC体模中评估了恢复系数(RC)和空间分辨率。在一组接受[Lu]Lu-PSMA-I&T治疗的患者中测试了被认为适用于临床应用的重建协议。

结果

尽管受到隔板穿透的影响,但所有重建中圆柱体活性的准确性均<10%。两种算法都随着更新次数的增加而具有更好的空间分辨率和更高的RC,但以噪声增加为代价,Q.Clear在减少噪声积累方面优于GE-OSEM。当仔细选择重建参数时,无论重建算法如何,都能发现类似的噪声(0.15)、空间分辨率(1 cm)和RC值。在患者中也发现了类似的结果。

结论

使用StarGuide™对镥进行成像时可以实现准确的活性定量。然而,隔板穿透的影响需要进一步研究。GE-OSEM是推荐的Q.Clear重建算法的有效替代方案,在体模和患者上评估的性能相当。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96ff/10584798/54b3cac0a85e/40658_2023_586_Fig1_HTML.jpg

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