Computed tomography- and magnetic resonance imaging-based multi-modality radiomics models for predicting survival in esophageal cancer patients

Funing Chu; Dexuan Li; Z Z Wang; Bingmei Bai; Keke Zhao; Shuting Wang; Chenyu Wang; Guang Yang; Jie Ma

doi:10.1016/j.tranon.2026.102686

February 5, 2026Translational OncologyOpen Access

Computed tomography- and magnetic resonance imaging-based multi-modality radiomics models for predicting survival in esophageal cancer patients

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Key Points

The aim is to evaluate the effectiveness of multi-modality radiomics models compared to single-modality models in predicting survival outcomes in esophageal cancer patients.
Comparison of single-modality and multi-modality radiomics models
Analysis of disease-free survival (DFS) and overall survival (OS)
Use of both computed tomography and magnetic resonance imaging data
Single-modality radiomics models show limited predictive ability for DFS and OS
Multi-modality radiomics models significantly enhance predictive accuracy
Enhanced prediction can aid in better treatment decisions for patients.

Implication

Multi-modality radiomics models improve survival prediction in esophageal cancer patients, indicating their potential benefit for treatment planning.

Abstract

Single-modality radiomics models exhibit limited predictive ability for DFS and OS in ESCC patients, whereas multi-modality radiomics models enhance predictive accuracy significantly.

Discussion

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Cite This Study

Chu et al. (2026) studied this question.

synapsesocial.com/papers/69897983f0ec2af6756e72cd https://doi.org/10.1016/j.tranon.2026.102686

View Full Paper

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Computed tomography- and magnetic resonance imaging-based multi-modality radiomics models for predicting survival in esophageal cancer patients

Key Points

Implication

Abstract

Discussion

Cite This Study

Computed tomography- and magnetic resonance imaging-based multi-modality radiomics models for predicting survival in esophageal cancer patients

Key Points

Implication

Abstract

Discussion

Cite This Study

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