Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Brain Imaging01:14

Brain Imaging

958
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
958

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Excellent agreement between automated deep learning-based and manual diffusion-weighted imaging infarct volume measurements in hyperacute stroke.

Journal of the neurological sciences·2026
Same author

Cognitive Impairment in Patients with Acute Ischemic Stroke after Mechanical Thrombectomy.

Dementia and geriatric cognitive disorders·2026
Same author

Asymptomatic Intracranial Hemorrhage Is Associated With Poor Outcomes After Mechanical Thrombectomy for Large Vessel Occlusion.

Stroke (Hoboken, N.J.)·2026
Same author

Associations between fluid-attenuated inversion recovery vessel hyperintensities and Alberta stroke program early CT score and clinical outcomes in stroke patients with unknown time of onset: A sub-analysis from a randomized controlled trial.

International journal of stroke : official journal of the International Stroke Society·2025
Same author

Associations between systolic blood pressure and infarct growth after thrombectomy for acute stroke: A retrospective observational study.

International journal of stroke : official journal of the International Stroke Society·2025
Same author

Constipation in Patients with Acute Ischemic Stroke: A Single-Center Retrospective Analysis.

Journal of Nippon Medical School = Nippon Ika Daigaku zasshi·2025

Related Experiment Video

Updated: Apr 7, 2026

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke
09:21

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke

Published on: January 18, 2018

12.8K

Beyond Conventional Imaging: From Time-Based to Data-Driven Decision-Making in Acute Ischemic Stroke.

Ichiro Deguchi1, Junya Aoki1

  • 1Department of Neurology and Cerebrovascular Medicine, Saitama Medical University International Medical Center.

Journal of Atherosclerosis and Thrombosis
|April 5, 2026
PubMed
Summary

Neuroimaging guides acute ischemic stroke (AIS) reperfusion therapy, shifting from time-based to tissue-based assessment. Advanced imaging and AI enhance treatment decisions for better patient outcomes.

Keywords:
Acute ischemic strokeArtificial intelligenceNeuroimagingReperfusion therapyTissue-based selection

More Related Videos

Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke
06:45

Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke

Published on: June 2, 2023

2.4K
A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia
09:59

A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia

Published on: September 16, 2017

14.7K

Related Experiment Videos

Last Updated: Apr 7, 2026

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke
09:21

Optimized Management of Endovascular Treatment for Acute Ischemic Stroke

Published on: January 18, 2018

12.8K
Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke
06:45

Author Spotlight: Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT) for NonInvasive Whole-Brain Imaging of Ischemic Stroke

Published on: June 2, 2023

2.4K
A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia
09:59

A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia

Published on: September 16, 2017

14.7K

Area of Science:

  • Neurology
  • Radiology
  • Artificial Intelligence in Medicine

Background:

  • Acute ischemic stroke (AIS) treatment evolved from time-based to tissue-based reperfusion therapy.
  • Neuroimaging is central to assessing salvageable brain tissue and guiding treatment decisions.
  • Traditional time windows for reperfusion therapy have limitations, especially for unknown onset times.

Purpose of the Study:

  • To review the evolution of neuroimaging in AIS reperfusion therapy.
  • To highlight the impact of imaging scores and mismatch concepts on clinical decision-making.
  • To examine the role of artificial intelligence (AI) in modern stroke assessment.

Main Methods:

  • Narrative review of imaging techniques and concepts in AIS reperfusion.
  • Discussion of Alberta Stroke Program Early Computed Tomography Score (ASPECTS) and DWI-ASPECTS.
  • Analysis of clinical-diffusion, MRA-diffusion, DWI-FLAIR, and perfusion-based mismatch concepts.
  • Exploration of AI-driven automated imaging platforms for stroke assessment.

Main Results:

  • ASPECTS and DWI-ASPECTS provide practical tools for assessing ischemic core.
  • Mismatch concepts expand treatment eligibility beyond strict time constraints.
  • AI platforms offer rapid, standardized, and quantitative assessment of stroke pathology.
  • AI reduces inter-reader variability and supports time-sensitive clinical decisions.

Conclusions:

  • Tissue-based assessment using neuroimaging has revolutionized AIS reperfusion therapy.
  • Mismatch concepts and AI integration are crucial for optimizing treatment and outcomes.
  • Future advancements lie in integrating established imaging with AI for precision stroke care.