Exploring clinical factors to predict the survival of patients with resectable non-small cell lung cancer with neoadjuvant immunotherapy

Our prediction model, which integrated data from preoperative positron emission tomography-CT, preoperative blood parameters and pathological response, was able to make highly accurate predictions for disease-free and overall survival in patients with NSCLC receiving neoadjuvant immunity with chemical therapy.

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Publication Details

Journal
European Journal of Cardio-Thoracic Surgery
Published
2024-09-13
DOI
https://doi.org/10.1093/ejcts/ezae335
Citations
2
Primary Topic
Lung Cancer Treatments and Mutations
Type
article
Field-Weighted Citation Impact
0.84
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article

Exploring clinical factors to predict the survival of patients with resectable non-small cell lung cancer with neoadjuvant immunotherapy

Zhenfa Zhang, Mengzhe Zhang, Zengtuan Xiao, Xiaofei Wang et al.
2 citations
European Journal of Cardio-Thoracic Surgery
Lung Cancer Treatments and Mutations
0.84
article

Exploring clinical factors to predict the survival of patients with resectable non-small cell lung cancer with neoadjuvant immunotherapy

Zhenfa Zhang, Mengzhe Zhang, Zengtuan Xiao, Xiaofei Wang, Yue Li, Pengpeng Zhang, Yan Meng, Liu Zuo, Lianmin Zhang
article en
2 citations

Abstract

Our prediction model, which integrated data from preoperative positron emission tomography-CT, preoperative blood parameters and pathological response, was able to make highly accurate predictions for disease-free and overall survival in patients with NSCLC receiving neoadjuvant immunity with chemical therapy.

European Journal of Cardio-Thoracic SurgeryVol. 66(4)
Tianjin Medical University Cancer Institute and Hospital (CN)
Good health and well-being
Openalex Percentile: Top 24%
Lung Cancer Treatments and Mutations
0.84
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