Background: This study evaluates the diagnostic value of PET/computed tomography imaging features using dual tracers, 18 F-fluorodeoxyglucose ( 18 F-FDG) and 18 F-fluorothymidine ( 18 F-FLT), combined with metabolic parameters and clinical characteristics, to differentiate benign and malignant pulmonary occupying lesions (POLs).
Methods: This retrospective study included 81 patients with pathologically confirmed POLs (median age = 59, interquartile range 49-69), with tissue obtained by bronchoscopic biopsy, percutaneous transthoracic needle biopsy, or surgical resection. We analyzed 18 F-FDG and 18 F-FLT PET imaging features (geometry, intensity, and texture) alongside clinical data and metabolic parameters to construct a combined prediction model.
Results: The predictive model integrating dual-tracer ( 18 F-FDG and 18 F-FLT) PET radiomics, metabolic parameters, and clinical characteristics demonstrated strong diagnostic performance. Malignant lesions were associated with significantly higher age, 18 F-FLT maximum standardized uptake value (SUVmax), and FLT/FDG SUVmax ratio compared to benign cases (all P < 0.05). In the test cohort (25 cases: 13 benign, 12 malignant), the radiomics model outperformed the metabolic-clinical model, with area under the receiver operating characteristic curve (AUC) values of 0.962 [95% confidence interval (CI): 0.883-1.000] vs. 0.718 (95% CI: 0.496-0.940). The nomogram combining multimodal features achieved optimal performance (AUC: 0.981; 95% CI: 0.942-1.000), though the upper CI limit (1.000) may reflect high predictive accuracy tempered by small-sample variability. Decision curve analysis confirmed the nomogram's superior clinical net benefit over radiologists' judgment and single-modality models. Calibration curves showed excellent agreement between predicted probabilities and observed outcomes.
Conclusion: The dual-tracer radiomics model significantly enhances the differential diagnosis of benign and malignant pulmonary lesions, with the nomogram offering high clinical application potential.
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