18F-FDG PET/CT static imaging plays a crucial role in the diagnosis, staging, and efficacy assessment of lung cancer. Semi-quantitative analysis using metabolic parameters, such as SUV, provide essential metabolic information for clinical decision-making. However, SUV is influenced by patient factors, acquisition time, and reconstruction algorithms. Dynamic imaging allows continuous assessment of the metabolic changes in lesions over a specific period, using dynamic parameters like the net uptake rate constant for quantitative analysis. Dynamic imaging provides important complementary information to static imaging, offering more precise information for the diagnosis and treatment of lung cancer. This article focuses on the applications of dynamic imaging in the diagnosis of lung cancer, lymph node staging, evaluation of immunotherapy efficacy, and optimization of scanning protocols, providing a comprehensive review of the research progress of dynamic 18F-FDG PET/CT imaging in the management of lung cancer.

18F-FDG PET/CT static imaging plays a crucial role in the diagnosis, staging, and efficacy assessment of lung cancer. Semi-quantitative analysis using metabolic parameters, such as SUV, provide essential metabolic information for clinical decision-making. However, SUV is influenced by patient factors, acquisition time, and reconstruction algorithms. Dynamic imaging allows continuous assessment of the metabolic changes in lesions over a specific period, using dynamic parameters like the net uptake rate constant for quantitative analysis. Dynamic imaging provides important complementary information to static imaging, offering more precise information for the diagnosis and treatment of lung cancer. This article focuses on the applications of dynamic imaging in the diagnosis of lung cancer, lymph node staging, evaluation of immunotherapy efficacy, and optimization of scanning protocols, providing a comprehensive review of the research progress of dynamic 18F-FDG PET/CT imaging in the management of lung cancer.