FAP-2286, which is a novel cyclic peptide that targets fibroblast activation protein (FAP), demonstrates enhanced plasma stability and improved receptor selectivity compared with small-molecule FAP inhibitors (FAPIs). Although 18 FFAP-2286 exhibits benefits due to the favorable characteristics of fluorine-18-labeled tracers, its diagnostic performance in lung cancer remains to be fully elucidated. This study aimed to compare the diagnostic efficacy of 18 FFAP-2286 PET/CT with that of 18 FFDG PET/CT in lung cancer patients. Thirty patients with suspected lung cancer (18 men and 12 women; median age: 64 years IQR: 35-81) underwent both 18 FFAP-2286 and 18 FFDG PET/CT for initial staging (n = 27) or the detection of recurrence (n = 3). Diagnostic performance was assessed using histopathology and clinical follow-up as reference standards. The quantitative analysis included the maximum standardized uptake value (SUVmax) and target-to-background ratio (TBR). Compared with 18 FFDG, 18 FFAP-2286 PET/CT significantly increased the TBR in primary tumors (11.60 ± 6.02 vs. 5.80 ± 3.08; P < 0.001), whereas the SUVmax was not significantly different (15.20 ± 8.25 vs. 13.81 ± 7.73; P = 0.524). Although 18 FFAP-2286 PET/CT demonstrated a lower detection rate for metastatic lymph nodes (67.46% 85/126 vs. 86.51% 109/126; P < 0.001), it exhibited a higher true positive rate (95.29% vs. 68.81%; P < 0.001). For distant metastases, 18 FFAP-2286 PET/CT demonstrated superior detection of bone (98.80% vs. 72.46%) and brain lesions (100% vs. 72.73%). Compared with 18 FFDG, 18 FFAP-2286 PET/CT demonstrates superior performance for detecting bone metastases and provides more accurate N and M staging. These findings suggest that 18 FFAP-2286 PET/CT may serve as a valuable alternative for the comprehensive evaluation of lung cancer patients.
Building similarity graph...
Analyzing shared references across papers
Loading...
Yu Ma
Guang‐Hui Liu
Bulin Du
European Journal of Nuclear Medicine and Molecular Imaging
China Medical University
First Hospital of China Medical University
United Imaging Healthcare (China)
Building similarity graph...
Analyzing shared references across papers
Loading...
Ma et al. (Thu,) studied this question.
www.synapsesocial.com/papers/689dfe88d61984b91e13ba04 — DOI: https://doi.org/10.1007/s00259-025-07495-6