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First Total-Body Kinetic Modeling and Parametric Imaging of Dynamic<sup>68</sup>Ga-FAPI-04 PET in Pancreatic and Gastric Cancer

Ruohua Chen, Xinlan Yang, Yee Ling Ng, Xiaofeng Yu, Yan‐Miao Huo, Xiuying Xiao, Chenpeng Zhang, Yumei Chen, Chaojie Zheng, Lianghua Li, Gang Huang, Yun Zhou, Jianjun Liu

2023Journal of Nuclear Medicine34 citationsDOIOpen Access PDF

Abstract

Fibroblast activation protein inhibitor (FAPI) is an ideal diagnostic and therapeutic target in malignant tumors. However, the knowledge of kinetic modeling and parametric imaging of <sup>68</sup>Ga-FAPI is limited. <b>Purpose:</b> The purpose of this study was to explore the pharmacokinetics of <sup>68</sup>Ga-FAPI-04 PET/CT in pancreatic cancer and gastric cancer and to conduct parametric imaging of dynamic total-body data compared with SUV imaging. <b>Methods:</b> Dynamic total-body <sup>68</sup>Ga-FAPI-04 PET/CT was performed on 13 patients. The lesion time–activity curves were fitted by 3-compartment models and multigraphical models. The kinetics parameters derived from the 2-tissue reversible compartment model (2T4K) and multigraphical models were analyzed. Parametric <math xmlns="http://www.w3.org/1998/Math/MathML" id="ie1" display="inline" overflow="scroll"><mrow><msub><mi>V</mi><mi>T</mi></msub></mrow></math> imaging was generated using the 2T4K and Logan models, and their performances were evaluated compared with SUV images. <b>Results:</b> 2T4K had the lowest Akaike information criterion value, and its fitting curves matched excellently with the origin time–activity curves. Visual assessment revealed that the <math xmlns="http://www.w3.org/1998/Math/MathML" id="ie2" display="inline" overflow="scroll"><mrow><msub><mi>V</mi><mi>T</mi></msub></mrow></math>(2T4K) images and <math xmlns="http://www.w3.org/1998/Math/MathML" id="ie3" display="inline" overflow="scroll"><mrow><msub><mi>V</mi><mi>T</mi></msub></mrow></math>(Logan with spatial constraint [SC]) images both showed less image noise and higher lesion conspicuity compared with SUV images. Objective image quality assessment demonstrated that parametric <math xmlns="http://www.w3.org/1998/Math/MathML" id="ie4" display="inline" overflow="scroll"><mrow><msub><mi>V</mi><mi>T</mi></msub></mrow></math>(2T4K) images and parametric <math xmlns="http://www.w3.org/1998/Math/MathML" id="ie5" display="inline" overflow="scroll"><mrow><msub><mi>V</mi><mi>T</mi></msub></mrow></math>(Logan with SC) images had a 5.0-fold and 5.0-fold higher average signal-to-noise ratio and 3.6-fold and 4.1-fold higher average contrast-to-noise ratio compared with conventional SUV images, respectively. In addition, no significant differences in signal-to-noise ratio and contrast-to-noise of pathologic lesions were observed between parametric <math xmlns="http://www.w3.org/1998/Math/MathML" id="ie6" display="inline" overflow="scroll"><mrow><msub><mi>V</mi><mi>T</mi></msub></mrow></math>(2T4K) images and parametric <math xmlns="http://www.w3.org/1998/Math/MathML" id="ie7" display="inline" overflow="scroll"><mrow><msub><mi>V</mi><mi>T</mi></msub></mrow></math>(Logan with SC) images (all <i>P</i> &gt; 0.05). <b>Conclusions:</b> The 2T4K model was the preferred compartment model. Total-body parametric imaging of <sup>68</sup>Ga-FAPI-04 PET yielded superior quantification beyond SUV with enhanced lesion contrast, which may serve as a promising imaging method to make an early diagnosis, to better reflect tumor characterization, or to allow evaluation of treatment response. <math xmlns="http://www.w3.org/1998/Math/MathML" id="ie8" display="inline" overflow="scroll"><mrow><msub><mi>V</mi><mi>T</mi></msub></mrow></math>(2T4K) images are comparable in image quality and consistent to <math xmlns="http://www.w3.org/1998/Math/MathML" id="ie9" display="inline" overflow="scroll"><mrow><msub><mi>V</mi><mi>T</mi></msub></mrow></math>(Logan with SC) images in lesions conspicuity; however, <math xmlns="http://www.w3.org/1998/Math/MathML" id="ie10" display="inline" overflow="scroll"><mrow><msub><mi>V</mi><mi>T</mi></msub></mrow></math>(Logan with SC) images presented an appealing alternative to <math xmlns="http://www.w3.org/1998/Math/MathML" id="ie11" display="inline" overflow="scroll"><mrow><msub><mi>V</mi><mi>T</mi></msub></mrow></math>(2T4K) images because of their simplicity.

Topics & Concepts

Pancreatic cancerNuclear medicineKinetic energyCancerWhole body imagingParametric statisticsMedicinePancreasPositron emission tomographyPhysicsInternal medicineMathematicsStatisticsQuantum mechanicsPeptidase Inhibition and AnalysisRadiopharmaceutical Chemistry and ApplicationsMedical Imaging Techniques and Applications