Differentiating tumor recurrence and pseudoprogression in postoperative gliomas using pseudo-continuous arterial spin labeling (pCASL) technique

The pCASL technique, combined with radiomics features, effectively differentiates TR from PsP in postoperative glioma patients. The pCASL provides reliable diagnostic information, with radiomics further improving classification accuracy. The SVM model demonstrated the best performance, highlighting the potential of combining pCASL and radiomics for accurate, non-invasive differentiation of TR and PsP. This approach could enhance clinical decision-making and patient management.

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Publication Details

Journal
BMC Medical Imaging
Published
2025-12-19
DOI
https://doi.org/10.1186/s12880-025-02126-w
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Differentiating tumor recurrence and pseudoprogression in postoperative gliomas using pseudo-continuous arterial spin labeling (pCASL) technique

Hongquan Zhu, Wenzhen Zhu, XinLei Ai, Tengfei Chao et al.
BMC Medical Imaging
Advanced MRI Techniques and Applications
article

Differentiating tumor recurrence and pseudoprogression in postoperative gliomas using pseudo-continuous arterial spin labeling (pCASL) technique

Hongquan Zhu, Wenzhen Zhu, XinLei Ai, Tengfei Chao, Yu‐Jie Ding, Weiyin Vivian Liu, Dong Liu, Jiaxuan Zhang, Ping Liu, Yujie Chen
article en

Abstract

The pCASL technique, combined with radiomics features, effectively differentiates TR from PsP in postoperative glioma patients. The pCASL provides reliable diagnostic information, with radiomics further improving classification accuracy. The SVM model demonstrated the best performance, highlighting the potential of combining pCASL and radiomics for accurate, non-invasive differentiation of TR and PsP. This approach could enhance clinical decision-making and patient management.

BMC Medical ImagingVol. 26(1)
Tongji Hospital (CN), Huazhong University of Science and Technology (CN), Dali University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hubei Province
Openalex Percentile: Top 44%
Advanced MRI Techniques and Applications
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