Prediction of Peritumoral Brain Tissue Invasion in Atypical Meningioma by Multimodality MRI-Based Nomogram Model
10.3969/j.issn.1005-5185.2025.01.003
- VernacularTitle:多模态MRI列线图模型预测非典型脑膜瘤瘤周脑组织侵犯
- Author:
Yijing ZHAO
1
;
Jianping HU
1
;
Mengcheng LI
1
;
Dairong CAO
1
;
Zhen XING
1
Author Information
1. 福建医科大学附属第一医院影像科,福建 福州 350004
- Publication Type:Journal Article
- Keywords:
Atypical meningioma;
Brain tissue invasion;
Magnetic resonance imaging;
Nomograms;
Radiomics;
Forecasting
- From:
Chinese Journal of Medical Imaging
2025;33(1):12-17,47
- CountryChina
- Language:Chinese
-
Abstract:
Purpose To evaluate the value of multimodality MRI-based nomogram model for predicting peritumoral brain tissue invasion in atypical meningioma.Materials and Methods A total of 187 patients with pathologically diagnosed atypical meningioma in the First Affiliated Hospital Fujian Medical University from January 2018 to January 2023 were retrospectively enrolled,including 130 cases of peritumoral brain tissue invasion and 57 cases of none peritumoral brain tissue invasion.Clinical data and multimodality MRI features,including age,gender,tumor location,maximum diameter,peritumoral oedema,tumor-brain interface,lobulated sign,dural tail sign,cyst degeneration/necrosis,relative minimum apparent diffusion coefficient(rADCmin)and intratumoral susceptibility signal were analyzed.Univariate and multivariate Logistic regression analysis were performed to screen the independent predictors of peritumoral brain tissue invasion in atypical meningioma,then a multimodality MRI prediction model was constructed,and was visualized as a nomogram.The prediction performance of multimodality MRI-based nomogram model and each independent predictor were assessed using receiver operating characteristic curve.Results The maximum diameter(OR=0.705,95%CI 0.539-0.920,P=0.010),peritumoral oedema(OR=1.333,95%CI 1.095-1.624,P=0.004),tumor-brain interface(OR=5.121,95%CI 2.045-12.806,P＜0.001)and rADCmin(OR=0.126,95%CI 0.033-0.483,P=0.002)were independent predictors of peritumoral brain tissue invasion in atypical meningioma.The area under the curve,sensitivity and specificity of the multimodality MRI-based nomogram model for predicting peritumoral brain tissue invasion in atypical meningioma was 0.80(95%CI 0.73-0.88),87.69%and 66.67%,respectively.The multimodality MRI-based nomogram model showed significantly higher area under the curve than that of the maximum diameter,peritumoral oedema,tumor-brain interface and rADCmin of atypical meningioma(all Z=3.665,3.904,4.359,3.701,P＜0.05).Conclusion The multimodality MRI-based nomogram model may be helpful for the prediction of peritumoral brain tissue invasion in atypical meningioma.
