Development and validation of multiple machine learning algorithms for differentiating primary central nervous system lymphoma from adult-type diffuse glioma: an interpretable and multicenter study

An interpretable Rad-Clinic fusion model enables accurate preoperative to differentiate PCNSL from ADG, and may assist improve clinical decision-making.

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Publication Details

Journal
Frontiers in Oncology
Published
2026-01-07
DOI
https://doi.org/10.3389/fonc.2025.1713099
Primary Topic
Glioma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

Development and validation of multiple machine learning algorithms for differentiating primary central nervous system lymphoma from adult-type diffuse glioma: an interpretable and multicenter study

Zhiqun Wang, Dong Bai, T Y Wu, Yuanzi Liang et al.
Frontiers in Oncology
Glioma Diagnosis and Treatment
article

Development and validation of multiple machine learning algorithms for differentiating primary central nervous system lymphoma from adult-type diffuse glioma: an interpretable and multicenter study

Zhiqun Wang, Dong Bai, T Y Wu, Yuanzi Liang, Jing Hu
article en

Abstract

An interpretable Rad-Clinic fusion model enables accurate preoperative to differentiate PCNSL from ADG, and may assist improve clinical decision-making.

Frontiers in OncologyVol. 15
Inner Mongolia University for Nationalities (CN), Aerospace Center Hospital (CN), Inner Mongolia Medical University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 97%
Glioma Diagnosis and Treatment
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