Back to search

Article

Multimodal AI-Based Risk Stratification for Distant Metastasis in Nasopharyngeal Carcinoma

2025-02-05

Abstract excerpt

<h4>Background</h4> The TNM staging system is the primary tool for treatment decisions in nasopharyngeal carcinoma (NPC). However, therapeutic outcomes vary considerably between patients, and guidelines for the management of distant metastasis treatment remain limited. This study aimed to develop and validate a deep learning-based risk score to predict NPC survival. <h4>Methods</h4> We developed graph for nasophar...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
a256fc2d-89a0-55b8-95d4-e639a49915d9
DOI
10.1101/2025.01.28.25321109
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Multimodal AI-Based Risk Stratification for Distant Metastasis in Nasopharyngeal CarcinomaDOI 10.1101/2025.01.28.25321109
Machine Learning Model Based on Multidimensional Laboratory Indicators for Predicting Distant Metastasis in Nasopharyngeal Carcinoma: A Multicenter Retrospective Cohort StudySemantic proximity
CT based Intratumor and Peritumoral Features for Predicting Prognosis of Patients with Head and Neck Cancer after Chemoradiotherapy: Using a Features Fusion ModelSemantic proximity
An integrated multimodal model for early prediction of high-risk recurrence phenotype indicative of poor disease-free survival in stage IA NSCLC: a multicenter study.Semantic proximity
A lncRNA signature associated with tumor immune heterogeneity predicts distant metastasis in locoregionally advanced nasopharyngeal carcinomaSemantic proximity
A Systematic Review on a comprehensive evaluation of clinical prognostic variables and new biomarkers for head and neck cancer outcomeSemantic proximity
Deep learning-based model for predicting progression in patients with head and neck squamous cell carcinomaSemantic proximity
Mutational landscape of nasopharyngeal carcinoma based on targeted next-generation sequencing: implications for predicting clinical outcomes.Semantic proximity
Foundation Model RNAGAN Enhances Biomedical Insight of Nasopharyngeal Carcinoma MetastasisSemantic proximity
Spatial biomarker-driven deep learning model via digital pathology predicts response to PI3K inhibitor buparlisib in head and neck squamous cell carcinomaSemantic proximity
Developing a Nomogram Model and Prognostic Analysis of Nasopharyngeal Squamous Cell Carcinoma Patients: A Population-Based StudySemantic proximity
DeepMPS: Development and validation of a deep learning model for whole slide image base prognostic prediction of low grade Lung adenocarcinoma patientsSemantic proximity
Longitudinal MRI monitoring of negative lymph node identifies prognostic diversity and therapeutic implications in nasopharyngeal carcinomaSemantic proximity
Select a neighboring publication to make it the new centre.