Diagnostic value of contrast-enhanced chest CT combined with serum PD-1 and TPS for lung cancer
- 1Department of Medical Imaging,The Second Affiliated Hospital of Zhengzhou University,Zhengzhou,Henan 450000,China
Abstract
Objective To investigate the diagnostic value of contrast-enhanced chest computed tomography(CT)combined with serum programmed death receptor - 1(PD - 1)and tissue polypeptide specific antigen(TPS)for lung cancer,and to provide a reference for early diagnosis of lung cancer. Methods Clinical,imaging and serological data of 234 patients with solitary pulmonary nodules admitted to the Second Affiliated Hospital of Zhengzhou University from January 2023 to January 2024 were retrospectively collected. With histopathological diagnosis as the gold standard,patients were divided into the malignant group(n=152,lung cancer)and the benign group(n=82,benign pulmonary lesions). Variables associated with lung cancer diagnosis were compared between the two groups. Multivariate logistic regression was applied to analyze independent influencing factors,and receiver operating characteristic(ROC)curves were constructed to evaluate the diagnostic efficacy of single indicators and the combined detection model for lung cancer. Results Statistically significant differences were observed between the two groups in CT lobulation sign,CT spiculation sign,CT onion model partition(OMP)value,and serum levels of PD-1 and TPS(P<0.05). Multivariate logistic regression showed that CT lobulation sign,CT spiculation sign,CT OMP value,serum PD-1 and TPS were independent predictive factors for malignant pulmonary lesions(P<0.05). ROC curve analysis demonstrated that for the diagnosis of lung cancer,the area under the curve(AUC)of CT lobulation sign,CT spiculation sign,CT OMP value,serum PD - 1 and TPS were 0.745,0.736,0.821,0.762 and 0.814,respectively,with the highest AUC(0.955)obtained by combined detection(P<0.05). Conclusion The combined diagnostic model consisting of contrast-enhanced chest CT features(lobulation sign,spiculation sign,OMP value)and serum PD-1 and TPS levels has a higher diagnostic value for lung cancer,compared to using individual test alone. It provides an efficient and reliable non-invasive auxiliary tool for differentiating benign and malignant pulmonary nodules,and facilitates the precise diagnosis of lung cancer.
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BibTeX
@article{weiwei2026diagnostic,
title = {{Diagnostic value of contrast-enhanced chest CT combined with serum PD-1 and TPS for lung cancer}},
author = {LI Weiwei and ZHAN Liqian and LI Weifeng and XING Yitong and LI Jie},
journal = {Zhongguo linchuang yanjiu},
year = {2026},
month = oct,
doi = {10.13429/j.cnki.cjcr.2026.10.006},
url = {https://doi.org/10.13429/j.cnki.cjcr.2026.10.006},
note = {CC BY-NC-ND},
}
RIS
TY - JOUR
TI - Diagnostic value of contrast-enhanced chest CT combined with serum PD-1 and TPS for lung cancer
AU - LI Weiwei
AU - ZHAN Liqian
AU - LI Weifeng
AU - XING Yitong
AU - LI Jie
PY - 2026
DA - 2026/10/26
JO - Zhongguo linchuang yanjiu
DO - 10.13429/j.cnki.cjcr.2026.10.006
UR - https://doi.org/10.13429/j.cnki.cjcr.2026.10.006
AB - Objective To investigate the diagnostic value of contrast-enhanced chest computed tomography(CT)combined with serum programmed death receptor - 1(PD - 1)and tissue polypeptide specific antigen(TPS)for lung cancer,and to provide a reference for early diagnosis of lung cancer. Methods Clinical,imaging and serological data of 234 patients with solitary pulmonary nodules admitted to the Second Affiliated Hospital of Zhengzhou University from January 2023 to January 2024 were retrospectively collected. With histopathological diagnosis as the gold standard,patients were divided into the malignant group(n=152,lung cancer)and the benign group(n=82,benign pulmonary lesions). Variables associated with lung cancer diagnosis were compared between the two groups. Multivariate logistic regression was applied to analyze independent influencing factors,and receiver operating characteristic(ROC)curves were constructed to evaluate the diagnostic efficacy of single indicators and the combined detection model for lung cancer. Results Statistically significant differences were observed between the two groups in CT lobulation sign,CT spiculation sign,CT onion model partition(OMP)value,and serum levels of PD-1 and TPS(P<0.05). Multivariate logistic regression showed that CT lobulation sign,CT spiculation sign,CT OMP value,serum PD-1 and TPS were independent predictive factors for malignant pulmonary lesions(P<0.05). ROC curve analysis demonstrated that for the diagnosis of lung cancer,the area under the curve(AUC)of CT lobulation sign,CT spiculation sign,CT OMP value,serum PD - 1 and TPS were 0.745,0.736,0.821,0.762 and 0.814,respectively,with the highest AUC(0.955)obtained by combined detection(P<0.05). Conclusion The combined diagnostic model consisting of contrast-enhanced chest CT features(lobulation sign,spiculation sign,OMP value)and serum PD-1 and TPS levels has a higher diagnostic value for lung cancer,compared to using individual test alone. It provides an efficient and reliable non-invasive auxiliary tool for differentiating benign and malignant pulmonary nodules,and facilitates the precise diagnosis of lung cancer.
SN - 1674-8182
ER -