Risk stratification in nasopharyngeal carcinoma patients: application of co-occurrence matrix and centrality analysis in prognostic evaluation

Tao Li; Honbo Chen

doi:10.1117/12.3044547

27 August 2024 Risk stratification in nasopharyngeal carcinoma patients: application of co-occurrence matrix and centrality analysis in prognostic evaluation

Tao Li, Honbo Chen

Author Affiliations +

Proceedings Volume 13252, Fourth International Conference on Biomedicine and Bioinformatics Engineering (ICBBE 2024); 1325227 (2024) https://doi.org/10.1117/12.3044547
Event: 2024 Fourth International Conference on Biomedicine and Bioinformatics Engineering (ICBBE 2024), 2024, Kaifeng, China

Abstract

Nasopharyngeal carcinoma (NPC) is a common type of malignant tumor in the head and neck, for which treatment and prognostic evaluation are critically important for patient management. Traditional prognostic methods often rely on limited clinical indicators and fail to fully reveal the complex pathophysiological status of NPC patients. This study introduces a network analysis-based feature selection method for predicting the overall survival (OS) prognosis of NPC. Utilizing clinical data from 792 newly diagnosed NPC patients, a co-occurrence matrix was constructed. By calculating centrality scores, key features closely related to OS prognosis were identified. Through an iterative feature selection process, starting with the structures having the highest centrality scores, the number of features was progressively increased to assess prognostic performance on the training set, culminating in the identification of the top 14 features as criteria for stratifying high-risk populations. On an independent test set, patients were divided into high- and low-risk groups based on these 14 features, demonstrating a significant difference in prognosis between the two groups (p<0.05). These results not only validate the accuracy and effectiveness of the selected features but also affirm the powerful potential of network analysis techniques in constructing medical prognostic models. This study provides a new tool for the prognostic evaluation of NPC, aiding doctors in accurately assessing patient outcomes and offering scientific support for personalized treatment plans.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Tao Li and Honbo Chen "Risk stratification in nasopharyngeal carcinoma patients: application of co-occurrence matrix and centrality analysis in prognostic evaluation", Proc. SPIE 13252, Fourth International Conference on Biomedicine and Bioinformatics Engineering (ICBBE 2024), 1325227 (27 August 2024); https://doi.org/10.1117/12.3044547

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