An explainable radiomics model based on multiparametric magnetic resonance for differentiating benign and malignant orbital tumors

This study presents an effective and explainable multiparametric MRI radiomics model that accurately differentiates benign from malignant orbital tumors. The developed nomogram demonstrates promising performance within the internal validation framework and may provide supportive information for clinical decision-making pending further external validation.

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Publication Details

Journal
BMC Cancer
Published
2026-03-13
DOI
https://doi.org/10.1186/s12885-026-15853-2
Primary Topic
Ocular Oncology and Treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

An explainable radiomics model based on multiparametric magnetic resonance for differentiating benign and malignant orbital tumors

Xiaopan Xu, Guozheng Zhang, Xiaowei Han, Weitao Huang et al.
BMC Cancer
Ocular Oncology and Treatments
article

An explainable radiomics model based on multiparametric magnetic resonance for differentiating benign and malignant orbital tumors

Xiaopan Xu, Guozheng Zhang, Xiaowei Han, Weitao Huang, Rujian Hong
article en

Abstract

This study presents an effective and explainable multiparametric MRI radiomics model that accurately differentiates benign from malignant orbital tumors. The developed nomogram demonstrates promising performance within the internal validation framework and may provide supportive information for clinical decision-making pending further external validation.

BMC Cancer
Zhejiang Chinese Medical University (CN), Quzhou City People's Hospital (CN), Eye & ENT Hospital of Fudan University (CN), Quzhou University (CN)
Reduced inequalities
Openalex Percentile: Top 23%
Ocular Oncology and Treatments
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