Interpretable multimodal MRI radiomics for predicting neoadjuvant chemotherapy response in nasopharyngeal carcinoma

The multimodal MRI radiomics model, especially when combined with DCE-MRI, can effectively predict NAC response in NPC patients. The model's interpretability through SHAP analysis demonstrates its potential for clinical application.

Authors

Tzu‐Hung Lin
Richard C. Wang (ORCID: https://orcid.org/0000-0003-4543-8295)
Weiyuan Huang (ORCID: https://orcid.org/0000-0003-1606-4845)
Feng Chen (ORCID: https://orcid.org/0000-0002-9129-7895)
Gang Wu (ORCID: https://orcid.org/0000-0002-9405-3757)
Wenzhu Li (ORCID: https://orcid.org/0000-0002-7031-4182)

Institutions

Hainan General Hospital (CN)
Hainan Medical University (CN)

Publication Details

Journal: BMC Medical Imaging
Published: 2025-11-25
DOI: https://doi.org/10.1186/s12880-025-02071-8
Citations: 1
Primary Topic: Head and Neck Cancer Studies
Type: article
Field-Weighted Citation Impact: 1.85

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article

Interpretable multimodal MRI radiomics for predicting neoadjuvant chemotherapy response in nasopharyngeal carcinoma

Tzu‐Hung Lin, Richard C. Wang, Weiyuan Huang, Feng Chen et al.

Nov 25, 2025

1 citations

BMC Medical Imaging

Head and Neck Cancer Studies

1.85

article

Interpretable multimodal MRI radiomics for predicting neoadjuvant chemotherapy response in nasopharyngeal carcinoma

Tzu‐Hung Lin, Richard C. Wang, Weiyuan Huang, Feng Chen, Gang Wu, Wenzhu Li

November 25, 2025article en

1 citations

Abstract

The multimodal MRI radiomics model, especially when combined with DCE-MRI, can effectively predict NAC response in NPC patients. The model's interpretability through SHAP analysis demonstrates its potential for clinical application.

BMC Medical ImagingVol. 25(1)

Hainan General Hospital (CN), Hainan Medical University (CN)

Openalex Percentile: Top 10%

Head and Neck Cancer Studies

1.85

DOI Open Access PDF OpenAlex

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