Establishment of a prediction model for malignant probability of pulmonary nodules in an adenocarcinoma-predominant cohort.

Fengru Li, Xiaobo Yu, Kangqiao Xu, Guoqing Zhang

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Article in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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4 authors.

Fengru LiJiading Branch of Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Xiaobo YuJiading Branch of Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Kangqiao XuJiading Branch of Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Guoqing ZhangJiading Branch of Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to identify associated factors for malignancy in pulmonary nodules and establish a risk prediction model to provide a scientific basis for surgical decision-making. Methods: Patients with pulmonary nodules who underwent surgical resection were retrospectively enrolled for this study. Demographic data, tumor marker levels, computed tomography (CT) features, and pathological results were collected. Univariate and multivariate analyses were performed to identify independent associated factors and construct a predictive model. The model's performance was evaluated using the receiver operating characteristic (ROC) curve. Results: A total of 568 patients were included, comprising 146 benign and 422 malignant nodules. The vast majority of malignant nodules were lung adenocarcinomas ( Conclusion: In this adenocarcinoma-predominant cohort, female sex was a significant predictor of malignancy, suggesting that non-smoking women may benefit from increased attention in lung cancer screening strategies. Further validation in diverse populations is warranted.

Indexed as

AdenocarcinomaAdenocarcinoma of LungLung NeoplasmsMultiple Pulmonary NodulesSolitary Pulmonary NoduleAgedFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsROC CurveTomography, X-Ray ComputedClinical feathersDiagnostic valueLung adenocarcinomaPrediction modelPulmonary nodules

Identifiers

PMID42333223

DOI10.7717/peerj.21353

PMCPMC13283365

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