Clinicopathological-CT model for predicting PD-L1 expression in resectable early-stage non-small cell lung cancer

Smoking history, STAS, average CT value, lobulation, and CK7 might be helpful in the diagnosis of PD-L1 expression in patients with early-stage NSCLC. The clinicopathologic-CT model had higher predictive performance than the clinicopathologic and CT models.

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Publication Details

Journal
Journal of Thoracic Disease
Published
2025-12-01
DOI
https://doi.org/10.21037/jtd-2025-1439
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Clinicopathological-CT model for predicting PD-L1 expression in resectable early-stage non-small cell lung cancer

Haoling Zhang, Fei Shan, Zihao Zhang, Yi Zhan et al.
Journal of Thoracic Disease
Lung Cancer Diagnosis and Treatment
article

Clinicopathological-CT model for predicting PD-L1 expression in resectable early-stage non-small cell lung cancer

Haoling Zhang, Fei Shan, Zihao Zhang, Yi Zhan, Yaoyao Zhuo, Shan Yang, Shuyi Yang, Qingle Wang
article en

Abstract

Smoking history, STAS, average CT value, lobulation, and CK7 might be helpful in the diagnosis of PD-L1 expression in patients with early-stage NSCLC. The clinicopathologic-CT model had higher predictive performance than the clinicopathologic and CT models.

Journal of Thoracic DiseaseVol. 17(12)
Sun Yat-sen University (CN), Fudan University (CN), Shanghai Public Health Clinical Center (CN), Zhongshan Hospital (CN), The First Affiliated Hospital, Sun Yat-sen University (CN), Shanghai Institute of Hematology (CN)
Good health and well-being
Openalex Percentile: Top 27%
Lung Cancer Diagnosis and Treatment
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Clinicopathological-CT model for predicting PD-L1 expression in resectable early-stage non-small cell lung cancer — Haoling Zhang, Fei Shan, et al. · Journal of Thoracic Disease (2025) | TGRS Research Map | TGRS