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全身动态和静态 PET/CT 联合低剂量 [F]PSMA-1007 在前列腺癌患者中的应用。

Combined whole-body dynamic and static PET/CT with low-dose [F]PSMA-1007 in prostate cancer patients.

机构信息

Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, D-69210, Heidelberg, Germany.

Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.

出版信息

Eur J Nucl Med Mol Imaging. 2024 Jun;51(7):2137-2150. doi: 10.1007/s00259-024-06620-1. Epub 2024 Jan 30.

DOI:10.1007/s00259-024-06620-1
PMID:38286936
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11139746/
Abstract

AIM

In addition to significant improvements in sensitivity and image quality, the recent introduction of long axial field-of-view (LAFOV) PET/CT scanners has enabled dynamic whole-body imaging for the first time. We aim herein to determine an appropriate acquisition time range for static low-dose [F]PSMA-1007 PET imaging and to investigate the whole-body pharmacokinetics of [F]PSMA-1007 by dynamic PET with the LAFOV Biograph Vision Quadra PET/CT in a group of prostate cancer patients.

METHODOLOGY

In total, 38 prostate cancer patients were enrolled in the analysis for staging or re-staging purposes. Thirty-four patients underwent dynamic whole-body PET/CT (60 min) followed by static whole-body PET/CT and four patients underwent static whole-body PET/CT only. The activity applied was 2 MBq/kg [F]PSMA-1007. The static PET images of 10-min duration (PET-10) were reconstructed and further split into 8-min (PET-8), 6-min (PET-6), 5-min (PET-5), 4-min (PET-4), and 2-min (PET-2) duration groups. Comparisons were made between the different reconstructed scan times in terms of lesion detection rate and image quality based on SUV calculations of tumor lesions and the spleen, which served as background. Analysis of the dynamic PET/CT data was based on a two-tissue compartment model using an image-derived input function obtained from the descending aorta.

RESULTS

Analysis of lesion detection rate showed no significant differences when reducing PET acquisitions from 10 up to 5 min. In particular, a total of 169 lesions were counted with PET-10, and the corresponding lesion detection rates (95% CI for the 90% quantile of the differences in tumor lesions) for shorter acquisitions were 100% (169/169) for PET-8 (95% CI: 0-0), 98.8% (167/169) for PET-6 (95% CI: 0-1), 95.9% (162/169) for PET-5 (95% CI: 0-3), 91.7% (155/169) for PET-4 (95% CI: 1-2), and 85.2% (144/169) for PET-2 (95% CI: 1-6). With the exception of PET-2, the differences observed between PET-10 and the other shorter acquisition protocols would have no impact on any patient in terms of clinical management. Objective evaluation of PET/CT image quality showed no significant decrease in tumor-to-background ratio (TBR) with shorter acquisition times, despite a gradual decrease in signal-to-noise ratio (SNR) in the spleen. Whole-body quantitative [F]PSMA-1007 pharmacokinetic analysis acquired with full dynamic PET scanning was feasible in all patients. Two-tissue compartment modeling revealed significantly higher values for the parameter k in tumor lesions and parotid gland compared to liver and spleen, reflecting a higher specific tracer binding to the PSMA molecule and internalization rate in these tissues, a finding also supported by the respective time-activity curves. Furthermore, correlation analysis demonstrated a significantly strong positive correlation (r = 0.72) between SUV and k in tumor lesions.

CONCLUSIONS

In prostate cancer, low-dose (2 MBq/kg) [F]PSMA-1007 LAFOV PET/CT can reduce static scan time by 50% without significantly compromising lesion detection rate and objective image quality. In addition, dynamic PET can elucidate molecular pathways related to the physiology of [F]PSMA-1007 in both tumor lesions and normal organs at the whole-body level. These findings unfold many of the potentials of the new LAFOV PET/CT technology in the field of PSMA-based diagnosis and theranostics of prostate cancer.

摘要

目的

除了显著提高灵敏度和图像质量外,最近推出的长轴向视野(LAFOV)PET/CT 扫描仪还首次实现了全身动态成像。我们旨在确定用于静态低剂量 [F]PSMA-1007 PET 成像的适当采集时间范围,并通过 LAFOV Biograph Vision Quadra PET/CT 在一组前列腺癌患者中通过动态 PET 研究 [F]PSMA-1007 的全身药代动力学。

方法

共有 38 名前列腺癌患者被纳入该分析,用于分期或重新分期。34 名患者接受了全身动态 PET/CT(60 分钟),随后进行了全身静态 PET/CT,4 名患者仅接受了全身静态 PET/CT。应用的活性为 2 mBq/kg [F]PSMA-1007。10 分钟时长的静态 PET 图像(PET-10)进行重建,并进一步分为 8 分钟(PET-8)、6 分钟(PET-6)、5 分钟(PET-5)、4 分钟(PET-4)和 2 分钟(PET-2)时长组。根据肿瘤病变和作为背景的脾脏的 SUV 计算,比较不同重建扫描时间的病变检出率和图像质量。动态 PET/CT 数据的分析基于使用从降主动脉获得的图像衍生输入函数的两组织室模型。

结果

分析病变检出率时,当 PET 采集减少至 5 分钟时,没有发现明显的差异。特别是,用 PET-10 总共计数了 169 个病变,较短采集时间的病变检出率(肿瘤病变的 90%分位数差异的 95%CI)为 100%(169/169)对于 PET-8(95%CI:0-0),98.8%(167/169)对于 PET-6(95%CI:0-1),95.9%(162/169)对于 PET-5(95%CI:0-3),91.7%(155/169)对于 PET-4(95%CI:1-2),和 85.2%(144/169)对于 PET-2(95%CI:1-6)。除了 PET-2,PET-10 与其他较短采集方案之间观察到的差异在临床管理方面不会对任何患者产生影响。PET/CT 图像质量的客观评估表明,尽管脾脏的信噪比(SNR)逐渐降低,但随着采集时间的缩短,肿瘤与背景的比值(TBR)并没有显著下降。使用全动态 PET 扫描进行全身定量 [F]PSMA-1007 药代动力学分析在所有患者中都是可行的。两组织室模型显示,肿瘤病变和腮腺中的参数 k 值明显高于肝脏和脾脏,反映了 PSMA 分子的特异性结合和这些组织中的内化率更高,相应的时间-活性曲线也支持这一发现。此外,相关性分析表明,肿瘤病变中的 SUV 和 k 值之间存在显著的正相关(r=0.72)。

结论

在前列腺癌中,低剂量(2 mBq/kg)[F]PSMA-1007 LAFOV PET/CT 可以将静态扫描时间减少 50%,而不会显著降低病变检出率和客观图像质量。此外,动态 PET 可以在全身水平上阐明与 [F]PSMA-1007 生理学相关的分子途径,包括肿瘤病变和正常器官。这些发现展示了新的 LAFOV PET/CT 技术在基于 PSMA 的前列腺癌诊断和治疗中的许多潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38ea/11139746/0ce256983178/259_2024_6620_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38ea/11139746/6bbb26878db9/259_2024_6620_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38ea/11139746/176551584cc0/259_2024_6620_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38ea/11139746/9c648ffeb1ed/259_2024_6620_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38ea/11139746/0ce256983178/259_2024_6620_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38ea/11139746/6bbb26878db9/259_2024_6620_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38ea/11139746/176551584cc0/259_2024_6620_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38ea/11139746/9c648ffeb1ed/259_2024_6620_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38ea/11139746/0ce256983178/259_2024_6620_Fig4_HTML.jpg

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