Correlation of Multiple Clinical Indicators with Benign and Malignant Pulmonary Nodules

Rongmei LIN; Bangyan LIU; Yangjun CHEN; Yan YANG; Yuan JIN; Yongrui YANG; Nihong LU

doi:10.12259/j.issn.2095-610X.S20250712

Volume 46 Issue 7

Jul. 2025

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Article Navigation > Journal of Kunming Medical University > 2025 > 46(7): 101-109

Rongmei LIN, Bangyan LIU, Yangjun CHEN, Yan YANG, Yuan JIN, Yongrui YANG, Nihong LU. Correlation of Multiple Clinical Indicators with Benign and Malignant Pulmonary Nodules[J]. Journal of Kunming Medical University, 2025, 46(7): 101-109. doi: 10.12259/j.issn.2095-610X.S20250712

Citation:

Rongmei LIN, Bangyan LIU, Yangjun CHEN, Yan YANG, Yuan JIN, Yongrui YANG, Nihong LU. Correlation of Multiple Clinical Indicators with Benign and Malignant Pulmonary Nodules[J]. Journal of Kunming Medical University, 2025, 46(7): 101-109. doi: 10.12259/j.issn.2095-610X.S20250712

Citation:

Rongmei LIN, Bangyan LIU, Yangjun CHEN, Yan YANG, Yuan JIN, Yongrui YANG, Nihong LU. Correlation of Multiple Clinical Indicators with Benign and Malignant Pulmonary Nodules[J]. Journal of Kunming Medical University, 2025, 46(7): 101-109. doi: 10.12259/j.issn.2095-610X.S20250712

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Correlation of Multiple Clinical Indicators with Benign and Malignant Pulmonary Nodules

doi: 10.12259/j.issn.2095-610X.S20250712

1.
Department of Pulmonary and Critical Care Medicine，The Third People’s Hospital of Kunming，Kunming Yunnan 650200
2.
School of Public Health，Dali University，Dali Yunnan 671003
3.
Department of Science and Education，The Third People’s Hospital of Kunming，Kunming Yunnan 650200，China

Received Date: 2025-03-20
Publish Date: 2025-07-21

Abstract

Abstract

Objective To investigate the correlation between the benign and malignant pulmonary nodules and serum inflammatory factors, tumor markers, and imaging features. Methods A total of 209 patients with pulmonary nodules who underwent lung puncture biopsy at the Third People's Hospital of Kunming from January 2023 to January 2024 were enrolled. Based on pathological results, the patients were divided into benign pulmonary nodules group （n=106） and malignant pulmonary nodules group （n=103）. General data and clinical indicators of all subjects were collected, and differences in various indicators between the two groups were analyzed. Results In terms of Serum inflammatory factors: there were statistically significant differences in LYMPH, NLR, LMR, IL-2, IL-6, IL-17, IFN-γ, HsCRP, SAA, and PCT between the two groups （P < 0.05）, while no significant differences were found in WBC, NETU, MONO, PLT, SII, IL-5, IFN-α, IL-1β, IL-10, IL-8, and IL-12P70 （P > 0.05）. Regarding Serum tumor markers: there were statistically significant differences in CEA, CA125, CA199, CYFRA21-1, ProGRP, and NSE between the two groups （P < 0.05）, whereas no significant differences were found in TSGF, AFP, and CA153 （P > 0.05）. In terms of Imaging features: there were statistically significant differences in the number, diameter, boundary, fissure sign, spiculated sign, and pleural retraction sign of nodules between the two groups （P < 0.05）, while no significant differences were found in nodular calcification, nodule density, and location （P > 0.05）. Binary logistic regression analysis （backward-Wald conditional method） identified patient age, fissure sign, CEA, NSE, ProGRP, and IL-6 were independent risk factors for malignant pulmonary nodules （P < 0.05）. The combined diagnostic model of these indicators for predicting malignant pulmonary nodules had an AUC of 0.965 （P < 0.05）. Conclusion Malignant pulmonary nodules are more likely in older patients with lobulation on imaging and elevated serum levels of NSE, ProGRP, IL-6, and CEA. Combined detection of these indicators can predict the nature of pulmonary nodules, guiding early diagnosis of malignant nodules.
- Pulmonary nodules,
- Inflammatory factors,
- Tumor markers,
- Imaging features,
- Correlation

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