Smith Nathaniel J, Green Mark A, Bahler Clinton D, Tann Mark, Territo Wendy, Smith Anne M, Hutchins Gary D
Indiana University School of Medicine.
Siemens Medical Solutions USA Inc: Siemens Healthcare USA.
Res Sq. 2023 Nov 1:rs.3.rs-3420161. doi: 10.21203/rs.3.rs-3420161/v1.
Ga-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 (SUV) 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 Ga-PSMA-11 PET analysis. Twenty-three lesions in 18 patients were included in a retrospective kinetic evaluation of 55-minute dynamic Ga-PSMA-11 pre-prostatectomy PET scans from patients with biopsy-demonstrated intermediate to high-risk prostate cancer. A reversible one-tissue compartment model, 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.
Supported by goodness-of-fit and information loss criteria, the irreversible two-tissue compartment model was selected as optimally fitting the time-activity curves. Lesions exhibited significant differences in kinetic rate constants (K, k, k, Ki) and semiquantitative measures (SUV) when compared with reference prostatic tissue. The two-tissue irreversible tracer kinetic model was consistently appropriate across prostatic zones.
An irreversible tracer kinetic model is appropriate for dynamic analysis of Ga-PSMA-11 PET images. Kinetic parameters estimated by Patlak graphical analysis or full compartmental analysis can distinguish tumor from normal prostate tissue.
镓-PSMA-11正电子发射断层扫描能够检测原发性、复发性和转移性前列腺癌。区域放射性药物摄取通常在静态图像中进行评估,并量化为标准摄取值(SUV)以用于临床决策。然而,对表征示踪剂摄取和药代动力学的动态图像进行分析可能会为潜在的组织病理生理学提供更多见解。本研究旨在评估各种动力学模型用于镓-PSMA-11 PET分析的适用性。对18例患者的23个病灶进行了回顾性动力学评估,这些病灶来自活检证实为中高危前列腺癌患者术前55分钟的动态镓-PSMA-11 PET扫描。评估了可逆单组织隔室模型、不可逆双组织隔室模型和可逆双组织隔室模型对病灶和正常对照前列腺时间-活度曲线的拟合优度。通过图形分析和示踪剂动力学建模技术获得的动力学参数在对照前列腺组织和病灶感兴趣区域之间进行了比较。
在拟合优度和信息损失标准的支持下,不可逆双组织隔室模型被选为最适合时间-活度曲线的模型。与对照前列腺组织相比,病灶在动力学速率常数(K、k、k、Ki)和半定量指标(SUV)方面表现出显著差异。双组织不可逆示踪剂动力学模型在整个前列腺区域始终适用。
不可逆示踪剂动力学模型适用于镓-PSMA-11 PET图像的动态分析。通过Patlak图形分析或全隔室分析估计的动力学参数可以区分肿瘤组织和正常前列腺组织。