Toward Precision Imaging in Lung NET: A Clinically Oriented Framework Integrating Dual Tracer PET and Radiomics

Background

Pulmonary neuroendocrine tumors (lung NETs) comprise a biologically heterogeneous group of neoplasms ranging from indolent typical carcinoids to more aggressive atypical carcinoids. Accurate characterization of tumor biology is essential for optimizing staging, prognostic stratification, and treatment selection. Beyond conventional cross-sectional imaging, functional imaging and emerging quantitative imaging techniques are progressively redefining the diagnostic pathway.