1. Analysis of postoperative recurrence-free survival in non-small cell lung cancer patients based on consensus clustering.
- Author
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Tian Q, Zhou SY, Qin YH, Wu YY, Qin C, Zhou H, Shi J, Duan SF, and Feng F
- Subjects
- Humans, Male, Female, Retrospective Studies, Middle Aged, Aged, Cluster Analysis, Disease-Free Survival, Consensus, Adult, Carcinoma, Non-Small-Cell Lung diagnostic imaging, Carcinoma, Non-Small-Cell Lung surgery, Carcinoma, Non-Small-Cell Lung pathology, Carcinoma, Non-Small-Cell Lung mortality, Lung Neoplasms diagnostic imaging, Lung Neoplasms surgery, Lung Neoplasms pathology, Lung Neoplasms mortality, Tomography, X-Ray Computed methods, Neoplasm Recurrence, Local diagnostic imaging
- Abstract
Aims: This study aims to assess whether consensus clustering, based on computed tomography (CT) radiomics from both intratumoral and peritumoral regions, can effectively stratify the risk of non-small cell lung cancer (NSCLC) patients and predict their postoperative recurrence-free survival (RFS)., Materials and Methods: A retrospective analysis was conducted on the data of surgical patients diagnosed with NSCLC between December 2014 and April 2020. After preprocessing CT images, radiomic features were extracted from a 9-mm region encompassing both the tumor and its peritumoral area. Consensus clustering was utilized to analyze the radiomics features and categorize patients into distinct clusters. A comparison of the differences in clinical pathological characteristics was conducted among the clusters. Kaplan-Meier survival analysis was employed to investigate differences in survival among the clusters., Results: A total of 266 patients were included in this study, and consensus clustering identified three clusters (Cluster 1: n=111, Cluster 2: n=61, Cluster 3: n=94). Multiple clinical risk factors, including pathological TNM staging, programmed cell death ligand 1 (PD-L1), and epidermal growth factor receptor (EGFR) expression status exhibit significant differences among the three clusters. Kaplan-Meier survival analysis demonstrated significant variations in RFS across the clusters (P<0.001). The 3-year cumulative recurrence-free survival rates were 76.5% (95% CI: 68.6-84.4) for Cluster 1, 45.9% (95% CI: 33.4-58.4) for Cluster 2, and 41.5% (95% CI: 31.6-51.5) for Cluster 3., Conclusions: Consensus clustering of CT radiomics based on intratumoral and peritumoral regions can stratify the risk of postoperative recurrence in patients with NSCLC., (Copyright © 2024 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.)
- Published
- 2024
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