Evidence map›Paper›PMID 41804904›Full record

ArticleJournal of the American Heart Association2026

Integration of Conventional and Radiomic Features From Fluorine-18 Fluorodeoxyglucose Positron Emission Tomography/Magnetic Resonance Imaging for Multimodal Prediction of Symptomatic Carotid Atherosclerotic Plaques.

Qian Li, Fan Fu, Jie Chen, Yu Zhang, Hairong Zheng, Dong Liang, Xin Liu, Zhanli Hu, Biao Li, Na Zhang

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 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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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Qian Li *Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China.ORCID 0000-0002-2428-7013
Fan Fu *Department of Nuclear Medicine, Ruijin Hospital Shanghai Jiaotong University School of Medicine Shanghai 200025 China.ORCID 0000-0001-5313-8925
Jie ChenPaul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China.
Yu ZhangDepartment of Nuclear Medicine, Ruijin Hospital Shanghai Jiaotong University School of Medicine Shanghai 200025 China.
Hairong ZhengPaul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China.
Dong LiangKey Laboratory of Biomedical Imaging Science and System, State Key Laboratory of Biomedical Imaging Science and System Chinese Academy of Sciences Shenzhen 518055 China.ORCID 0000-0003-1358-9777
Xin LiuPaul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China.
Zhanli HuKey Laboratory of Biomedical Imaging Science and System, State Key Laboratory of Biomedical Imaging Science and System Chinese Academy of Sciences Shenzhen 518055 China.
Biao LiDepartment of Nuclear Medicine, Ruijin Hospital Shanghai Jiaotong University School of Medicine Shanghai 200025 China.ORCID 0000-0002-0493-2062
Na ZhangPaul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China.ORCID 0000-0001-9510-4520

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to evaluate an integrated fluorine-18 fluorodeoxyglucose positron emission tomography/magnetic resonance imaging (PET/MRI) model combining conventional and radiomic features for the noninvasive identification of symptomatic extracranial carotid atherosclerotic plaques.

methodsA total of 200 patients with advanced carotid plaques (78 symptomatic, 122 asymptomatic) underwent hybrid fluorine-18 fluorodeoxyglucose PET/MRI. Six MRI morphological features (intraplaque hemorrhage, lipid-rich necrotic core, ruptured fibrous cap, calcification, surface ulceration, and plaque enhancement) and 3 PET metabolic parameters-metabolic uptake, maximum standardized uptake value, and target-to-background ratio-were evaluated. A total of 1991 radiomics were extracted from each of the MRI and PET images, respectively. For each modality, 3 types of models were developed: conventional, radiomics, and combined (incorporating conventional and radiomic features). Diagnostic performance was evaluated using multivariate logistic regression and a linear support vector classifier.

resultsIn MRI-based analysis, surface ulceration and plaque enhancement emerged as independent predictors of symptomatic plaques. In PET-based analysis, standardized uptake value and metabolic uptake were identified as significant independent predictors. The PET conventional model outperformed the MRI conventional model in discriminative ability (areas under the curve: training, 0.899 versus 0.755; internal test, 0.926 versus 0.822; temporal validation, 0.878 versus 0.702). The integrated PET/MRI combined model achieved the best performance, with areas under the curve of 0.962 (training), 0.967 (internal test), and 0.926 (temporal validation), significantly outperforming PET- and MRI-based combined models (all

conclusionsThe fluorine-18 fluorodeoxyglucose PET/MRI combined model integrating morphological, metabolic, and radiomic features outperformed other models, supporting its potential as a noninvasive, high-precision tool for cerebrovascular risk stratification.

Indexed as

Carotid ArteriesCarotid Artery DiseasesFluorodeoxyglucose F18Magnetic Resonance ImagingPlaque, AtheroscleroticPositron-Emission TomographyAgedFemaleHumansMaleMiddle AgedMultimodal ImagingPredictive Value of TestsRadiomicsRadiopharmaceuticalsRetrospective StudiesFluorodeoxyglucose F18Radiopharmaceuticals[18F]FDG PET/MRIatherosclerosiscarotid plaquemultimodalradiomics

Identifiers

PMID41804904
PMCPMC13055649

What Socratic 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 Socratic graph.