Evidence map›Paper›PMID 42302201›Full record

Observational studyJournal of magnetic resonance imaging : JMRI2026

Pre-Radiotherapy Synthetic MRI-Derived Quantitative Heterogeneity and Early Recurrence in Glioblastoma.

Guanmin Quan, Shijia Wang, Yawu Liu, Tao Yuan

Abstract readObservational Study
In one paragraph

Observational study in Journal of magnetic resonance imaging : JMRI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Guanmin QuanDepartment of Medical Imaging, The Second Hospital of Hebei Medical University, Shijiazhuang, China.
Shijia WangDepartment of Medical Imaging, The Second Hospital of Hebei Medical University, Shijiazhuang, China.ORCID https://orcid.org/0009-0000-7633-0573
Yawu LiuDepartment of Clinical Radiology, Kuopio University Hospital, Kuopio, Finland.ORCID https://orcid.org/0000-0003-2386-3370
Tao YuanDepartment of Medical Imaging, The Second Hospital of Hebei Medical University, Shijiazhuang, China.

Funding

Hebei Natural Science Foundation H2025206451
6 · The paper itself

Abstract

backgroundTimely 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.

resultsMultivariate 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

conclusionHistogram-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.

Indexed as

Brain NeoplasmsGlioblastomaMagnetic Resonance ImagingNeoplasm Recurrence, LocalAdultAgedContrast MediaFemaleHumansImage Interpretation, Computer-AssistedMaleMiddle AgedNomogramsPrognosisRetrospective StudiesRisk AssessmentContrast Mediaearly recurrenceglioblastomanomogramsrisk‐assessmentsynthetic MRI

Identifiers

PMID42302201
PMCPMC13578582

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.