Evidence map›Paper›PMID 42714568›Full record

ArticleNeuroradiology2026

Multiparametric static hybrid ¹⁸F-FET PET/MR for preoperative prediction of TERT promoter mutation in glioblastoma.

Xiaohong Liang, Leiming Wang, Kai Xiao, Huantong Diao, Meng Zhang, Fengqi Li, Jie Lu

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Article in Neuroradiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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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.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xiaohong LiangBeijing Xuanwu Hospital affiliated Capital Medical University, Beijing, China.
Leiming WangBeijing Xuanwu Hospital affiliated Capital Medical University, Beijing, China.
Kai XiaoBeijing Xuanwu Hospital affiliated Capital Medical University, Beijing, China.
Huantong DiaoBeijing Xuanwu Hospital affiliated Capital Medical University, Beijing, China.
Meng ZhangBeijing Xuanwu Hospital affiliated Capital Medical University, Beijing, China.
Fengqi LiBeijing Xuanwu Hospital affiliated Capital Medical University, Beijing, China.
Jie LuBeijing Xuanwu Hospital affiliated Capital Medical University, Beijing, China. imaginglu@hotmail.com.

Funding

Ascent Project of Xuanwu Hospital HZ2021ZCLJ005
6 · The paper itself

Abstract

purposesTo determine whether multiparametric hybrid

methodsWe retrospectively included 220 patients with newly diagnosed glioblastoma at our institution between June 2021 and December 2025. Parametric maps, including ¹⁸F-FET PET, cerebral blood flow (CBF), and apparent diffusion coefficient (ADC), were co-registered with fluid-attenuated inversion recovery (FLAIR) images. Tumor volumes of interest (VOIs) were delineated on FLAIR and transferred to aligned maps for quantitative analysis. Contralateral normal white matter served as the reference region to calculate normalized ADC and CBF values (nADC and nCBF), defined as tumor-to-normal ratios, while PET uptake was expressed as a tumor-to-brain ratio (TBR). Independent predictors were identified using multivariable logistic regression. Diagnostic performance was evaluated using receiver operating characteristic (ROC) analysis with calculation of the area under the curve (AUC).

resultsIn multivariable logistic regression analysis, age (OR 1.088, 95% CI 1.030-1.148; P = 0.002), TBR

conclusionCombining age with multiparametric

Indexed as

GlioblastomaHybrid PET/MRILogistic regressionTERT

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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.