Integrative Nomogram of Computed Tomography Radiomics, Clinical, and Tumor Immune Features for Analysis of Disease-Free Survival of NSCLC Patients with Surgery

To improve prognosis of cancer patients and determine the integrative value for analysis of disease-free survival prediction, a clinic investigation was performed involving with 146 non-small cell lung cancer (NSCLC) patients (83 men and 73 women; mean age: 60.24 years ± 8.637) with a history of sur...

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Bibliographic Details
Published in:Journal of oncology 2023, Vol.2023, p.8607062-14
Main Authors: Xiu, Dianhui, Mo, Yan, Liu, Chaohui, Hu, Yu, Wang, Yanjing, Zhao, Yiming, Guo, Tiantian, Cheng, Kailiang, Huang, Chencui, Liu, Lin, Cheng, Min
Format: Article
Language:English
Subjects:
CT imaging
Family medical history
Immunotherapy
Lung cancer
Lung cancer, Non-small cell
Medical prognosis
Medical records
Metastasis
Nomograms
Patient outcomes
Patients
Prognosis
Radiomics
Surgery
Thoracic surgery
Tomography
Tumors
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Summary:To improve prognosis of cancer patients and determine the integrative value for analysis of disease-free survival prediction, a clinic investigation was performed involving with 146 non-small cell lung cancer (NSCLC) patients (83 men and 73 women; mean age: 60.24 years ± 8.637) with a history of surgery. Their computed tomography (CT) radiomics, clinical records, and tumor immune features were firstly obtained and analyzed in this study. Histology and immunohistochemistry were also performed to establish a multimodal nomogram through the fitting model and cross-validation. Finally, Z test and decision curve analysis (DCA) were performed to evaluate and compare the accuracy and difference of each model. In all, seven radiomics features were selected to construct the radiomics score model. The clinicopathological and immunological factors model, including T stage, N stage, microvascular invasion, smoking quantity, family history of cancer, and immunophenotyping. The C-index of the comprehensive nomogram model on the training set and test set was 0.8766 and 0.8426 respectively, which was better than that of the clinicopathological-radiomics model (Z test, P =0.041
ISSN:1687-8450
1687-8450
DOI:10.1155/2023/8607062