Evidence map›Paper›PMID 40770598›Full record

ArticleMolecular imaging and biology2025

In vivo Multimodal Magnetic Particle Imaging for Early Detection of Ischemic Stroke in Tree Shrews.

Bo Zhang, Tao Zhu, Haoran Zhang, Xiaomei Yu, Jie He, Sijia Liu, Yanjun Liu, Zechen Wei, Chaoen Hu, Yali Zhang and 8 more

Abstract read
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Article in Molecular imaging and biology, 2025. 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

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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

18 authors.

Bo Zhang *Key Laboratory of Big Data-Based Precision Medicine (Beihang University), School of Engineering Medicine & School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China.
Tao Zhu *Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Haoran Zhang *Key Laboratory of Big Data-Based Precision Medicine (Beihang University), School of Engineering Medicine & School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China.
Xiaomei Yu *National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), National Resource Center for Non-Human Primates and Yunnan Engineering Center on Brain Disease Models, State Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650201, China.
Jie HeKey Laboratory of Big Data-Based Precision Medicine (Beihang University), School of Engineering Medicine & School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China.
Sijia LiuSchool of Computer Science and Engineering, Southeast University, Nanjing, Jiangsu, 210096, China.
Yanjun LiuKey Laboratory of Big Data-Based Precision Medicine (Beihang University), School of Engineering Medicine & School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China.
Zechen WeiKey Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Chaoen HuKey Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Yali ZhangNational Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), National Resource Center for Non-Human Primates and Yunnan Engineering Center on Brain Disease Models, State Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650201, China.
Hongdi HuangNational Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), National Resource Center for Non-Human Primates and Yunnan Engineering Center on Brain Disease Models, State Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650201, China.
Minghao QiuNational Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), National Resource Center for Non-Human Primates and Yunnan Engineering Center on Brain Disease Models, State Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650201, China.
Rui JinNational Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), National Resource Center for Non-Human Primates and Yunnan Engineering Center on Brain Disease Models, State Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650201, China.
Hongli LiNational Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), National Resource Center for Non-Human Primates and Yunnan Engineering Center on Brain Disease Models, State Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650201, China.
Huiheng XieNational Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), National Resource Center for Non-Human Primates and Yunnan Engineering Center on Brain Disease Models, State Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650201, China.
Jianhong WangNational Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), National Resource Center for Non-Human Primates and Yunnan Engineering Center on Brain Disease Models, State Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650201, China. wangjh@mail.kiz.ac.cn.
Hui HuiKey Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. hui.hui@ia.ac.cn.
Jie TianKey Laboratory of Big Data-Based Precision Medicine (Beihang University), School of Engineering Medicine & School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China. tian@ieee.org.ORCID 0000-0002-9523-2271

Funding

Beijing Natural Science Foundation JQ22023Beijing Natural Science Foundation L242064CAS Youth Innovation Promotion Association Y2022055Light of West China Program of the Chinese Academy of Sciences xbzg-zdsys-202302National Key Research and Development Program of China 2021YFF0702700National Natural Science Foundation of China 62027901National Natural Science Foundation of China 81227901National Natural Science Foundation of China 92359304National Natural Science Foundation of China U23A6011STI2030-MajorProjects 2021ZD0203900STI2030-MajorProjects 2022ZD0205100Yunnan Province 202305AH340006
6 · The paper itself

Abstract

purposeIschemic stroke is a significant threat to human life and health, and timely diagnosis is essential for improving patient outcomes. Magnetic Particle Imaging (MPI), as an emerging high-sensitivity imaging technology, holds significant potential for the diagnosis of ischemic stroke. It is necessary to conduct multimodal MPI research based on the characteristics of the animal model and the detection needs of ischemic stroke. PROCEDURES: We used tree shrews, which have a close phylogenetic relationship with primates, as experimental subjects and established a photothrombotic (PT) stroke model. Considering the body size of tree shrews and the high-sensitivity detection requirements for ischemic stroke, a dedicated MPI receiving system for tree shrews was developed based on the primate brain MPI equipment. After validating the MPI system's performance, multimodal MPI fusion imaging of the tree shrew brain was performed by combining magnetic resonance imaging (MRI) and computed tomography (CT).

resultsThe sensitivity of the receiving system for tree shrews is 0.017 mg Fe/mL, which is 8 times higher than that of the original system. Within one hour after the establishment of the PT stroke model, the MPI signal intensity in ischemic stroke tree shrews was approximately 25% lower than in the control group, while MRI showed no significant differences. On the 6th and 12th days after ischemic stroke onset, MRI images revealed clear lesion locations. Anatomical results of the tree shrew brain revealed significant lesions, confirming the successful establishment of the PT stroke model.

conclusionsThe dedicated MPI receiving system developed in this study significantly enhanced MPI sensitivity. The multimodal MPI imaging platform integrates the advantages of MRI and CT structural imaging based on high-sensitivity detection, enabling early detection of ischemic stroke in tree shrews.

Indexed as

Ischemic StrokeMagnetite NanoparticlesMultimodal ImagingTupaiidaeAnimalsBrainDisease Models, AnimalEarly DiagnosisMagnetic Resonance ImagingMaleTomography, X-Ray ComputedMagnetite NanoparticlesIn vivo imagingIschemic StrokeMagnetic particle imagingMultimodal fusionTree shrew

Identifiers

PMID40770598

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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.