Evidence map›Paper›PMID 39837748›Full record

ArticleUltrasound in medicine & biology2025

Combined Nanodrops Imaging and Ultrasound Localization Microscopy for Detecting Intracerebral Hemorrhage.

Bing-Ze Lin, Alexander Changyu Fan, Yike Wang, Matthew R Lowerison, Zhijie Dong, Qi You, Nathiya Vaithiyalingam Chandra Sekaran, Daniel Llano, Mark Borden, Pengfei Song

Abstract read
In one paragraph

Article in Ultrasound in medicine & biology, 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. Article
  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.

Bing-Ze LinBeckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA; Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Alexander Changyu FanDepartment of Mechanical Engineering, University of Colorado, Boulder, CO, USA.
Yike WangBeckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA; Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Matthew R LowerisonBeckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA; Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Zhijie DongBeckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA; Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Qi YouBeckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA; Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Nathiya Vaithiyalingam Chandra SekaranBeckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA; Department of Molecular and Integrative Physiology, University of Illinois Urbana-Champaign, Urbana, IL, USA; Neuroscience Program, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Daniel LlanoBeckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA; Department of Molecular and Integrative Physiology, University of Illinois Urbana-Champaign, Urbana, IL, USA; Neuroscience Program, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Mark BordenDepartment of Mechanical Engineering, University of Colorado, Boulder, CO, USA.
Pengfei SongBeckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, USA; Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA; Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, IL, USA; Neuroscience Program, University of Illinois Urbana-Champaign, Urbana, IL, USA. Electronic address: songp@illinois.edu.

Funding

Next-Generation Ultrasound Localization MicroscopyR21EB030072 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI SONG, PENGFEI · 2020 to 2022
$927k
High-resolution cerebral microvascular imaging for characterizing vascular dysfunction in Alzheimer's disease mouse modelR56NS131516 · NINDS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI LLANO, DANIEL A · 2023 to 2023
$575k
Super-resolution imaging of brain microvascular changes in a model of Alzheimer DiseaseR21AG077173 · NIA · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI LLANO, DANIEL A · 2022 to 2022
$422k
NIA NIH HHS R21 AG077173NIBIB NIH HHS R21 EB030072NINDS NIH HHS R56 NS131516
6 · The paper itself

Abstract

objectiveAdvanced imaging methods are crucial for understanding stroke mechanisms and discovering effective treatments to reduce bleeding and enhance recovery. In pre-clinical in vivo stroke imaging, MRI, CT and optical imaging are commonly used to evaluate stroke outcomes in rodent models. However, MRI and CT have limited spatial resolution for rodent brains, and optical imaging is hindered by limited imaging depth of penetration. Here we introduce a novel contrast-enhanced ultrasound imaging method to overcome these challenges and characterize intracerebral hemorrhage with unique insights.

methodsWe combined microbubble-based ultrasound localization microscopy (ULM) and nanodrop (ND)-based vessel leakage imaging to achieve simultaneous microvascular imaging and hemorrhage detection. ULM maps brain-wide cerebral vasculature with high spatial resolution and identifies microvascular impairments around hemorrhagic areas. NDs are sub-micron liquid-core particles that can extravasate due to blood-brain barrier breakdown, serving as positive contrast agents to detect hemorrhage sites.

resultsOur findings demonstrate that NDs could effectively accumulate in the hemorrhagic site and reveal the location of the bleeding areas upon activation by focused ultrasound beams. ULM further reveals the microvascular damage manifested in the form of reduced vascularity and decreased blood flow velocity across areas affected by the hemorrhagic stroke.

conclusionThe results demonstrate that sequential ULM combined with ND imaging is a useful imaging tool for basic in vivo research in stroke with rodent models where brain-wide detection of active bleeding and microvascular impairment are essential.

Indexed as

Cerebral HemorrhageMicroscopy, AcousticNanoparticlesAnimalsBrainContrast MediaDisease Models, AnimalMaleMicrobubblesRatsRats, Sprague-DawleyUltrasonographyContrast MediaAcoustic droplet vaporizationIntracerebral hemorrhageNanodropletsStrokeUltrasound localization microscopy

Identifiers

PMID39837748
PMCPMC12615983

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.