Objective To investigate the diagnostic value of multisliece helical CT (MSCT) based computer texture analysis combined with serum neuron-specific enolase (NSE), cytokeratin 19 fragment antigen 21-1 (CYFRA21-1), and carcinoembryonic antigen (CEA) for distinguishing between benign and malignant solitary pulmonary nodules. Methods A total of 126 patients with solitary pulmonary nodules admitted to our hospital from January 2023 to December 2024 were selected and divided into lung cancer group (65 cases) and benign nodule group (61 cases) based on pathological diagnosis. The general data and imaging characteristics of both groups were compared. The correlation between computer texture parameters from MSCT and serum NSE, CYFRA21-1, and CEA was analyzed. ROC curves were used to evaluate the diagnostic value of computer texture features and serum tumor markers in distinguishing between benign and malignant solitary pulmonary nodules. Results Lung cancer patients showed higher proportions of partially solid nodules and spiculated margins compared to benign patients. Lung cancer patients exhibited higher entropy, entropy difference, entropy sum, and serum NSE, CYFRA21-1, and CEA levels than benign patients. Computer texture-related features showed positive correlations with serum NSE, CYFRA21-1, and CEA in lung cancer patients. ROC curve analysis revealed AUC values of 0.811, 0.710, 0.632, 0.618, and 0.951 for computer texture features, NSE, CYFRA21-1, CEA, and their combined applications respectively. Conclusion The combination of computer texture features and conventional serum tumor markers has a high power of differential diagnosis between benign and malignant pulmonary nodules, and has a good clinical application value.
Key words
MSCT-based computerised texture /
isolated pulmonary nodules /
differential diagnostic
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