中危原发性前列腺癌患者 68Ga-PSMA-11 PET 的示踪剂动力学模型比较。

IF 3.1 3区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING EJNMMI Research Pub Date : 2024-01-10 DOI:10.1186/s13550-023-01066-2
Nathaniel J Smith, Mark A Green, Clinton D Bahler, Mark Tann, Wendy Territo, Anne M Smith, Gary D Hutchins
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引用次数: 0

摘要

背景:68Ga-PSMA-11 正电子发射断层扫描可检测原发性、复发性和转移性前列腺癌。区域放射性药物摄取一般在静态图像中进行评估,并量化为标准摄取值(SUV),供临床决策使用。然而,分析示踪剂摄取和药代动力学特征的动态图像可为了解潜在的组织病理生理学提供更多信息。本研究旨在评估各种动力学模型在 68Ga-PSMA-11 PET 分析中的适用性。对活检证实为中高危前列腺癌患者的前列腺切除术前 55 分钟动态 68Ga-PSMA-11 PET 扫描进行了回顾性动力学评估,共纳入了 18 名患者的 23 个病灶。评估了三种动力学模型--可逆的单组织区室模型、不可逆的双组织区室模型和可逆的双组织区室模型--与病变和正常参考前列腺时间-活动曲线的拟合度。比较了通过图形分析和示踪剂动力学建模技术获得的参考前列腺组织和病变区域的动力学参数:结果:在拟合优度和信息丢失标准的支持下,不可逆的双组织区室模型对时间活动曲线进行了最佳拟合。与参考前列腺组织相比,病变区域在动力学速率常数(K1、k2、k3、Ki)和半定量指标(SUV 和 %ID/kg)方面存在明显差异。双组织不可逆示踪剂动力学模型在各前列腺区始终是合适的:结论:不可逆示踪剂动力学模型适用于 68Ga-PSMA-11 PET 图像的动态分析。通过 Patlak 图形分析或全分区分析估计的动力学参数可以区分肿瘤和正常前列腺组织。
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Comparison of tracer kinetic models for 68Ga-PSMA-11 PET in intermediate-risk primary prostate cancer patients.

Background: 68Ga-PSMA-11 positron emission tomography enables the detection of primary, recurrent, and metastatic prostate cancer. Regional radiopharmaceutical uptake is generally evaluated in static images and quantified as standard uptake values (SUVs) for clinical decision-making. However, analysis of dynamic images characterizing both tracer uptake and pharmacokinetics may offer added insights into the underlying tissue pathophysiology. This study was undertaken to evaluate the suitability of various kinetic models for 68Ga-PSMA-11 PET analysis. Twenty-three lesions in 18 patients were included in a retrospective kinetic evaluation of 55-min dynamic 68Ga-PSMA-11 pre-prostatectomy PET scans from patients with biopsy-demonstrated intermediate- to high-risk prostate cancer. Three kinetic models-a reversible one-tissue compartment model, an irreversible two-tissue compartment model, and a reversible two-tissue compartment model, were evaluated for their goodness of fit to lesion and normal reference prostate time-activity curves. Kinetic parameters obtained through graphical analysis and tracer kinetic modeling techniques were compared for reference prostate tissue and lesion regions of interest.

Results: Supported by goodness of fit and information loss criteria, the irreversible two-tissue compartment model optimally fit the time-activity curves. Lesions exhibited significant differences in kinetic rate constants (K1, k2, k3, Ki) and semiquantitative measures (SUV and %ID/kg) when compared with reference prostatic tissue. The two-tissue irreversible tracer kinetic model was consistently appropriate across prostatic zones.

Conclusions: An irreversible tracer kinetic model is appropriate for dynamic analysis of 68Ga-PSMA-11 PET images. Kinetic parameters estimated by Patlak graphical analysis or full compartmental analysis can distinguish tumor from normal prostate tissue.

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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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