Predictive value of MRI-based radiomics for 5-year postoperative recurrence of non-enhancing diffuse gliomas

LU Jing; SUN Ting; WANG Guisheng; WU Chunnan; LIU Yaou

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Medical Journal of the Chinese People Armed Police Forces ›› 2026, Vol. 37 ›› Issue (4) : 316-320.

ORIGINAL ARTICLES

Predictive value of MRI-based radiomics for 5-year postoperative recurrence of non-enhancing diffuse gliomas

LU Jing^1,2,SUN Ting¹,WANG Guisheng²,WU Chunnan², LIU Yaou¹

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Abstract

Objective To investigate the value of the MRI-based radiomics model in predicting the recurrence of non-enhancing diffuse gliomas within 5 years after surgery. Methods A retrospective analysis was conducted on 116 patients with pathologically confirmed non-enhanced diffuse gliomas treated at Beijing Tiantan Hospital Affiliated to Capital Medical University from June 2016 to June 2020. Clinical pathological data, MRI images, and follow-up information were collected. Radiomics features and tumor location features were extracted using Python pyradiomics and Atlasquery tools. The LASSO algorithm was applied for feature dimensionality reduction and selection. Five predictive models were constructed as follows: Model-1 (Sex and Age), Model-2 (Tumor Location), Model-3 (Radiomics), Model-4 (Tumor Location + Radiomics), and Model-5 (Sex+Age+Tumor Location+Radiomics). Receiver operating characteristic (ROC) curves and decision curve analysis (DCA) were plotted to evaluate the predictive performance of the models. Results The areas under the ROC curve (AUC) for predicting postoperative recurrence were 0.529 (Model-1), 0.680 (Model-2), 0.912 (Model-3), 0.911 (Model -4), and 0.917 (Model-5), respectively. Model-5 demonstrated the best performance, achieving a sensitivity of 0.837, specificity of 0.866, and accuracy of 0.863, respectively in the test set. Conclusions The MRI radiomics-based model has high clinical value in predicting recurrence of non-enhancing diffuse gliomas within 5 years after surgery.

Key words

glioma / recurrence / magnetic resonance imaging / radiomics / predictive value

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LU Jing,SUN Ting,WANG Guisheng,WU Chunnan, LIU Yaou. Predictive value of MRI-based radiomics for 5-year postoperative recurrence of non-enhancing diffuse gliomas[J]. Medical Journal of the Chinese People Armed Police Forces. 2026, 37(4): 316-320

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