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

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

5.2K
Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
5.2K
Imaging Studies for Cardiovascular System II:Types of Echocardiography01:20

Imaging Studies for Cardiovascular System II:Types of Echocardiography

272
Echocardiography plays a role in assessing cardiac health and detecting heart conditions, with various types providing critical insights for diagnosis and treatment.
Types of Echocardiography
Transthoracic Echocardiography (TTE)
TTE is the most common type of echocardiogram which involves placing a transducer on the patient's chest, emitting sound waves to create heart images. TTE is invaluable for evaluating the heart's size, structure, and motion, making it particularly useful for...
272

You might also read

Related Articles

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

Sort by
Same author

Impact of Intracranial Atherosclerosis and Cerebral Small Vessel Disease on Overt Vascular Events During Antithrombotic Therapy.

European journal of neurology·2026
Same author

Impact of Basal Ganglia Perivascular Spaces on Ischemic and Hemorrhagic Risks in Patients Taking Antithrombotic Therapies.

Neurology·2026
Same author

Development and Validation of a Machine Learning Model to Predict Oral Anticoagulant Use in Stroke From Prothrombin Time-International Normalized Ratio and Activated Partial Thromboplastin Time.

Journal of the American Heart Association·2026
Same author

Long-term risk of bleeding events in patients taking antithrombotic agents for cerebrovascular or cardiovascular disease.

International journal of stroke : official journal of the International Stroke Society·2026
Same author

Analysis of Gut Microbiota and Their Metabolites in CADASIL Patients.

Journal of clinical neurology (Seoul, Korea)·2025
Same author

Administration of Cilostazol Prior to Intravenous Alteplase for Acute Branch Atheromatous Disease: A Report of Three Cases.

Case reports in neurological medicine·2025

Related Experiment Video

Updated: Jul 6, 2025

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

14.1K

How Topographic Diffusion-Weighted Imaging Patterns can Predict the Potential Embolic Source.

Y Yamamoto1, Y Nagakane2, E Tanaka3

  • 1Department of Neurology, Kyoto Katsura Hospital, 615-8256. 17 Yamada Hiraocho, Nishikyoku, Kyoto, Japan. yyamamot@fg7.so-net.ne.jp.

Clinical Neuroradiology
|January 3, 2024
PubMed
Summary
This summary is machine-generated.

Diffusion-weighted imaging (DWI) patterns correlate with specific potential embolic sources (PES) in patients with embolic stroke of undetermined source (ESUS). These findings aid in predicting stroke etiology using imaging and clinical data.

Keywords:
Atrial fibrillationDiffusion weighted imageEmbolic stroke of undetermined sourceParadoxical embolism

More Related Videos

Cardiac Magnetic Resonance for the Evaluation of Suspected Cardiac Thrombus: Conventional and Emerging Techniques
06:29

Cardiac Magnetic Resonance for the Evaluation of Suspected Cardiac Thrombus: Conventional and Emerging Techniques

Published on: June 11, 2019

10.4K
Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

26.3K

Related Experiment Videos

Last Updated: Jul 6, 2025

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

14.1K
Cardiac Magnetic Resonance for the Evaluation of Suspected Cardiac Thrombus: Conventional and Emerging Techniques
06:29

Cardiac Magnetic Resonance for the Evaluation of Suspected Cardiac Thrombus: Conventional and Emerging Techniques

Published on: June 11, 2019

10.4K
Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

26.3K

Area of Science:

  • Neurology
  • Radiology
  • Cardiology

Background:

  • Embolic stroke of undetermined source (ESUS) presents a diagnostic challenge.
  • Identifying potential embolic sources (PES) is crucial for stroke management and prevention.
  • Transesophageal echocardiography is a key tool for detecting PES.

Purpose of the Study:

  • To develop an imaging prediction model for ESUS patients.
  • To investigate the association between diffusion-weighted imaging (DWI) patterns and PES.
  • To identify specific DWI patterns indicative of different PES.

Main Methods:

  • Selected 366 ESUS patients from 992 embolic stroke cases.
  • Defined ESUS based on absence of atrial fibrillation and identified PES.
  • Analyzed clinical variables and DWI patterns based on arterial territories (e.g., MCA segments M1-M4).

Main Results:

  • Specific DWI patterns were significantly associated with different PES.
  • Internal carotid artery and M1 DWI patterns linked to paroxysmal atrial fibrillation (pAf).
  • Striatocapsular and cerebellar artery infarcts associated with paradoxical embolism; scattered infarcts with aortic embolism.

Conclusions:

  • Distinctive DWI patterns correlate with specific PES in ESUS.
  • DWI, combined with clinical variables, can help predict PES in ESUS patients.
  • This imaging-based approach enhances etiological diagnosis for ESUS.