Evaluating the biodistribution for [68Ga]Ga-PSMA-11 and [18F]F-PSMA-1007 PET/CT with an inter- and intrapatient based analysis

IF 3.1 3区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Cristina E. Popescu, Boya Zhang, Thomas Sartoretti, Noel Spielhofer, Stephan Skawran, Jakob Heimer, Michael Messerli, Alexander Sauter, Martin W. Huellner, Philipp A. Kaufmann, Irene A. Burger, Alexander Maurer
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引用次数: 0

Abstract

Liver uptake in [68Ga]Ga-PSMA-11 PET is used as an internal reference in addition to clinical parameters to select patients for [177Lu]Lu-PSMA-617 radioligand therapy (RLT). Due to increased demand, [68Ga]Ga-PSMA-11 was replaced by [18F]F-PSMA-1007, a more lipophilic tracer with different biodistribution and splenic uptake was suggested as a new internal reference. We compared the intra-patient tracer distribution between [68Ga]Ga-PSMA-11 and [18F]F-PSMA-1007. Fifty patients who underwent PET examinations in two centers with both [18F]F-PSMA-1007 and [68Ga]Ga-PSMA-11 within one year were included. Mean standardized uptake values (SUVmean) were obtained for liver, spleen, salivary glands, blood pool, and bone. Primary tumor, local recurrence, lymph node, bone or visceral metastasis were also assessed for intra- and inter-individual comparison. Liver SUVmean was significantly higher with [18F]F-PSMA-1007 (11.7 ± 3.9) compared to [68Ga]Ga-PSMA-11 (5.4 ± 1.7, p < .05) as well as splenic SUVmean (11.2 ± 3.5 vs.8.1 ± 3.5, p < .05). The blood pool was comparable between the two scans. Malignant lesions did not show higher SUVmean on [18F]F-PSMA-1007. Intra-individual comparison of liver uptake between the two scans showed a linear association for liver uptake with SUVmean [68Ga]Ga-PSMA-11 = 0.33 x SUVmean [18F]F-PSMA-1007 + 1.52 (r = .78, p < .001). Comparing biodistribution of [68Ga]Ga and [18F]F tracers, liver uptake on [68Ga]Ga-PSMA-11 PET is the most robust internal reference value. Liver uptake of [18F]F-PSMA-1007 was significantly higher, but so was the splenic uptake. The strong intra-individual association of hepatic accumulation between the two scans may allow using of a conversion factor for [18F]F-PSMA-1007 as a basis for RLT selection.
通过基于患者间和患者内的分析,评估[68Ga]Ga-PSMA-11和[18F]F-PSMA-1007 PET/CT的生物分布情况
除了临床参数外,[68Ga]Ga-PSMA-11 PET的肝摄取量还被用作选择[177Lu]Lu-PSMA-617放射性配体治疗(RLT)患者的内部参考。由于需求增加,[68Ga]Ga-PSMA-11被[18F]F-PSMA-1007取代,后者是一种亲脂性更强的示踪剂,具有不同的生物分布和脾脏摄取能力,被建议作为新的内部参考。我们比较了[68Ga]Ga-PSMA-11和[18F]F-PSMA-1007在患者体内的示踪剂分布。我们纳入了在两个中心接受 PET 检查的 50 名患者,他们在一年内同时接受了[18F]F-PSMA-1007 和 [68Ga]Ga-PSMA-11 的检查。获得了肝脏、脾脏、唾液腺、血池和骨骼的平均标准化摄取值(SUVmean)。此外,还评估了原发肿瘤、局部复发、淋巴结、骨或内脏转移情况,以进行个体内和个体间比较。与[68Ga]Ga-PSMA-11(5.4 ± 1.7,p < .05)相比,[18F]F-PSMA-1007的肝脏SUVmean(11.7 ± 3.9)以及脾脏SUVmean(11.2 ± 3.5 vs. 8.1 ± 3.5,p < .05)明显更高。两次扫描的血池相当。恶性病变在[18F]F-PSMA-1007上未显示出更高的SUVmean。两次扫描的肝脏摄取量的个体内比较显示,肝脏摄取量与[68Ga]Ga-PSMA-11的SUVmean值呈线性关系,即[68Ga]Ga-PSMA-11 = 0.33 x SUVmean [18F]F-PSMA-1007 + 1.52 (r = .78, p < .001)。比较[68Ga]Ga和[18F]F示踪剂的生物分布,[68Ga]Ga-PSMA-11 PET的肝摄取量是最可靠的内部参考值。肝脏对[18F]F-PSMA-1007的摄取量明显较高,但脾脏摄取量也较高。两种扫描结果在个体内部的肝脏蓄积量有很强的关联性,因此可以使用[18F]F-PSMA-1007的换算系数作为选择RLT的依据。
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来源期刊
EJNMMI Research
EJNMMI Research RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING&nb-
CiteScore
5.90
自引率
3.10%
发文量
72
审稿时长
13 weeks
期刊介绍: EJNMMI Research publishes new basic, translational and clinical research in the field of nuclear medicine and molecular imaging. Regular features include original research articles, rapid communication of preliminary data on innovative research, interesting case reports, editorials, and letters to the editor. Educational articles on basic sciences, fundamental aspects and controversy related to pre-clinical and clinical research or ethical aspects of research are also welcome. Timely reviews provide updates on current applications, issues in imaging research and translational aspects of nuclear medicine and molecular imaging technologies. The main emphasis is placed on the development of targeted imaging with radiopharmaceuticals within the broader context of molecular probes to enhance understanding and characterisation of the complex biological processes underlying disease and to develop, test and guide new treatment modalities, including radionuclide therapy.
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