Evidence map›Paper›PMID 39925720›Full record

ArticleMaterials today. Bio2025

Dual-modal super-resolution ultrasound and NIR-II fluorescence imaging of ischemic stroke with ICG-doped porous PLGA microspheres.

Ziyue Li, Yu Qiang, Dongli Chen, Dehong Hu, Duyang Gao, Xiaohua Xu, Lei Sun, Yingjia Li, Weibao Qiu, Zonghai Sheng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Materials today. Bio, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

10 authors.

Ziyue LiDepartment of Medicine Ultrasonics, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Yu QiangResearch Center for Advanced Detection Materials and Medical Imaging Devices, Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
Dongli ChenResearch Center for Advanced Detection Materials and Medical Imaging Devices, Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
Dehong HuResearch Center for Advanced Detection Materials and Medical Imaging Devices, Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
Duyang GaoResearch Center for Advanced Detection Materials and Medical Imaging Devices, Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
Xiaohua XuDivision of Ultrasound, The University of Hong Kong-Shenzhen Hospital, No.1, Haiyuan Road, Futian District, Shenzhen, 518053, China.
Lei SunThe Hong Kong Polytechnic University, Department of Biomedical Engineering, Hong Kong, 999077, China.
Yingjia LiDepartment of Medicine Ultrasonics, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
Weibao QiuResearch Center for Advanced Detection Materials and Medical Imaging Devices, Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
Zonghai ShengResearch Center for Advanced Detection Materials and Medical Imaging Devices, Paul C. Lauterbur Research Center for Biomedical Imaging, Institute of Biomedical and Health Engineering, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ischemic stroke, resulting from the obstruction of blood flow to the brain, remains a leading cause of morbidity and mortality worldwide. Traditional imaging modalities, such as magnetic resonance imaging and computed tomography, while effective for identifying stroke locations, are often limited in their ability to detect early pathological changes due to constraints in spatial resolution and sensitivity. This study introduces a novel dual-modal imaging approach that employs indocyanine green-doped porous poly (lactic-co-glycolic acid) (PLGA) microspheres (ICG-pPLGA MPs) for super-resolution ultrasound and near-infrared II (NIR-II) fluorescence imaging of ischemic stroke. The porous structure of ICG-pPLGA MPs enhances their stability, prolongs their circulation time, and improves ultrasound contrast compared to commercial lipid microbubbles. Additionally, the NIR-II fluorescence allows for high-resolution and noninvasive visualization of superficial vasculature. In a rat model of ischemic stroke, we demonstrate the capability of ICG-pPLGA MPs to achieve high-resolution imaging of cerebrovascular structures and functions, surpassing the imaging performance of standard diffusion-weighted imaging. Our findings underscore the potential of this dual-modal imaging technique using ICG-pPLGA MPs to accurately characterize microvascular changes during ischemic events, thus offering valuable insights for early diagnosis and therapeutic monitoring.

Indexed as

Indocyanine greenIschemic strokeNIR-II fluorescencePorous microsphereSuper-resolution ultrasound

Identifiers

PMID39925720
PMCPMC11803314

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.