Pre‐Radiotherapy Synthetic <scp>MRI</scp> –Derived Quantitative Heterogeneity and Early Recurrence in Glioblastoma

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.

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Publication Details

Journal
Journal of Magnetic Resonance Imaging
Published
2026-06-16
DOI
https://doi.org/10.1002/jmri.70407
Primary Topic
Glioma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Pre‐Radiotherapy Synthetic MRI –Derived Quantitative Heterogeneity and Early Recurrence in Glioblastoma

ShiJia Wang, Yawu Liu, Tao Yuan, Guanmin Quan
Journal of Magnetic Resonance Imaging
Glioma Diagnosis and Treatment
article

Pre‐Radiotherapy Synthetic MRI –Derived Quantitative Heterogeneity and Early Recurrence in Glioblastoma

ShiJia Wang, Yawu Liu, Tao Yuan, Guanmin Quan
article en

Abstract

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.

Journal of Magnetic Resonance Imaging
Hebei Medical University (CN), Kuopio University Hospital (FI), Second Hospital of Hebei Medical University (CN), Finland University (FI)
Natural Science Foundation of Hebei Province
Openalex Percentile: Top 10%
Glioma Diagnosis and Treatment
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