Evidence map›Paper›PMID 41457091›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2026

Individual 18F-FDG PET and arterial spin labeling coupling based on simultaneous PET/MRI predicting anti-seizure medication response in temporal lobe epilepsy patients.

Sihao Jia, Yirong Wang, Zhiyong Quan, Xiaoli Meng, Min Wang, Tingting Han, Jingyi Wang, Guiyu Li, Kun Guo, Fei Kang and 1 more

Abstract read
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In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. AlEuropean journal of nuclear medicine and molecular imaging · 2026
    Article
  2. Article
  3. Prognostic value of baseline [68Ga]Ga‑DOTA‑NOC PET/CT in paediatric neuroblastoma.European journal of nuclear medicine and molecular imaging · 2026
    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

11 authors.

Sihao JiaDepartment of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
Yirong WangDepartment of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
Zhiyong QuanDepartment of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
Xiaoli MengDepartment of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
Min WangDepartment of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
Tingting HanDepartment of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
Jingyi WangDepartment of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
Guiyu LiDepartment of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
Kun GuoDepartment of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China. 1512649468@qq.com.
Fei KangDepartment of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China. fmmukangf@fmmu.edu.cn.ORCID 0000-0003-0267-7819
Jing WangDepartment of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China. 13909245902@163.com.

Funding

Basic Research Program for Natural Science of Shaanxi Province Basic Research Program for Natural Science of Shaanxi ProvinceKey Industrial Innovation Chain (Cluster) of Shaanxi Province 2024SF-ZDCYL-02-06Medical Personnel Boosting Program of Xijing Hospital XJZT24JC15Medical Personnel Skill Enhancement Program of Xijing Hospital 2024XJSM04Medical Personnel Skill Enhancement Program of Xijing Hospital 2024XJSY35National Natural Science Foundation of China 92259304Science and Technology Innovation 2030 - Major Project on Brain Science and Brain-like Research 2022ZD0208000
6 · The paper itself

Abstract

aimsDespite advances in epilepsy management, reliable prediction of anti-seizure medication (ASM) response remains an unmet need in temporal lobe epilepsy (TLE). Emerging evidence indicates that neurovascular decoupling (NVD), defined as the mismatch between neuronal activity and cerebral hemodynamics, may function as an imaging biomarker that reflects dysfunction within the epileptogenic network. This prospective study uses simultaneous 18 F-FDG PET/MRI to characterize patterns of metabolic-perfusion dissociation and to evaluate their value in predicting ASM outcomes in TLE.

methodsThis prospective cohort enrolled 52 unilateral TLE patients before initiation of standardized ASM regimens. Simultaneous 18 F-FDG PET/MRI was conducted before treatment to measure cerebral glucose metabolism through standardized uptake value (SUV) and hemodynamics through arterial spin labeling-derived cerebral blood flow (CBF). Participants were classified into ASM-responsive (N = 27) and ASM-resistant (N = 25) groups according to seizure recurrence at 12-month follow-up. Multimodal normalization was performed using age-matched healthy controls (N = 23) to generate z-score maps for metabolic (SUV_z) and perfusion (CBF_z) parameters. Neurovascular coupling was quantified using the SUV-CBF ratio at the whole-brain voxel level. Regions of interest (ROIs) were defined based on regions showing significant differences, and predictive performance was assessed with receiver operating characteristic (ROC) curve analysis.

resultsThe analysis identified distinct neurovascular decoupling gradients in TLE. The SUV-CBF ratio decreased in the temporal lobe and cerebellum, whereas it increased in the frontal and occipital lobes compared with healthy controls. In the ASM-resistant group, the SUV-CBF ratio z-score was lower in the posterior cingulate gyrus and higher in the frontotemporal parietal occipital cortex compared with responders. The posterior cingulate cortex was chosen as the primary ROI. Prediction of ASM response based on SUV, CBF, and the SUV-CBF ratio in the posterior cingulate cortex yielded AUCs of 0.553, 0.676, and 0.836, respectively.

conclusionsNeurovascular decoupling characteristics derived from 18 F-FDG PET/MR may serve as a promising biomarker for identifying patients at risk of ASM-resistant outcomes.

Indexed as

AnticonvulsantsArteriesEpilepsy, Temporal LobeFluorodeoxyglucose F18Magnetic Resonance ImagingMultimodal ImagingPositron-Emission TomographyAdultCerebrovascular CirculationFemaleHumansMaleMiddle AgedPerfusion Magnetic Resonance ImagingProspective StudiesRadiopharmaceuticalsAnticonvulsantsFluorodeoxyglucose F18RadiopharmaceuticalsSpin Labels18F-FDG PETArterial spin labelingDrug-resistantEpilepsyPrediction

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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 Socratic graph.