Related Experiment Video
Updated: Jun 18, 2026
Translational Orthotopic Models of Glioblastoma Multiforme
Published on: February 17, 2023
Pre-Radiotherapy Synthetic MRI-Derived Quantitative Heterogeneity and Early Recurrence in Glioblastoma
Guanmin Quan1, Shijia Wang1, Yawu Liu2,3
1Department of Medical Imaging, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Background:
Timely identification of early recurrence (≤ 6 months) may improve prognosis of glioblastoma (GBM), but conventional MRI has shown limited accuracy in this setting.
Purpose:
Risk-assessment models and a nomogram were constructed by integrating SyMRI metrics, clinical-pathological variables, and cMRI features, including contrast-enhanced T1-weighted imaging and fluid-attenuated inversion recovery (FLAIR) findings.
Study Type:
Retrospective observational study.
Population:
Seventy-eight patients with GBM (median age, 59 years; 44 [56.4%] males).
Field Strength/Sequence:
3 T; pre- and post-contrast three-dimensional T1-weighted imaging, FLAIR, and SyMRI.
Assessment:
Histogram-based quantitative metrics were extracted from SyMRI maps using subregions defined on fused FLAIR and contrast-enhanced T1-weighted images. All candidate clinical-pathological variables, cMRI features, and SyMRI-derived metrics were entered directly into least absolute shrinkage and selection operator (LASSO) regression for variable selection. Risk-assessment models and a nomogram were constructed.
Statistical Tests:
Multivariable logistic regression, multicollinearity assessment using variance inflation factors, receiver operating characteristic curve analysis with DeLong test, stratified 10-fold cross-validation, leave-one-out cross-validation, nested 5-fold cross-validation, calibration curves, and decision curve analysis. A two-sided p < 0.05 was considered statistically significant.
Results:
Multivariate analysis identified reduced T2 entropy (< 2.113) in enhancement-corresponding regions (odds ratio [OR] = 0.08), thick linear or nodular residual cavity wall enhancement (OR = 5.28), corpus callosum involvement (OR = 5.08), and O6-methylguanine-DNA methyltransferase (MGMT) promoter methylation (OR = 0.19) as variables associated with early recurrence. The integrated model achieved the highest performance (AUC = 0.864). Nested cross-validation showed moderate internal validation performance, with an AUC of 0.724 (0.722-0.726).
Data Conclusion:
Histogram-based pre-radiotherapy SyMRI metrics, particularly T2 entropy, were associated with early GBM recurrence. The integrated model achieved the highest apparent performance; nested internal validation showed moderate performance. External validation in larger multicenter cohorts is required before clinical implementation.
Evidence Level:
3.
Technical Efficacy:
Stage 2.
