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Updated: Aug 7, 2025

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

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

Published on: September 16, 2017

An MRI Based Ischemic Stroke Classification - A Mechanism Oriented Approach.

James Jose¹, Joe James¹

¹Department of Neurology, Government Medical College Kozhikode, Kozhikode, Kerala, India.

Annals of Indian Academy of Neurology

|March 13, 2023

Summary

This summary is machine-generated.

This study introduces a new classification for ischemic stroke based on Diffusion-weighted magnetic resonance imaging (DW-MRI). This DW-MRI classification aids in understanding stroke mechanisms and improving patient prognostication and treatment strategies.

Keywords:

Cerebrovascular accident carotid stenosis intracranial arteriosclerosis lacunar stroke magnetic resonance imaging

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Last Updated: Aug 7, 2025

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Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping

Published on: September 25, 2019

Area of Science:

Neurology
Radiology
Medical Imaging

Background:

Current ischemic stroke classification systems inadequately utilize advanced imaging.
Diffusion-weighted magnetic resonance imaging (DW-MRI) offers precise detection of infarcts.

Purpose of the Study:

To propose a novel ischemic stroke classification system based on DW-MRI patterns.
To correlate DW-MRI infarct types with underlying stroke mechanisms.

Main Methods:

Classifying ischemic infarcts into ten types based on DW-MRI appearance.
Reviewing literature to link infarct types with etiological mechanisms.

Main Results:

Proposed DW-MRI infarct types include cortical territorial, striatocapsular, superficial perforator, watershed, lacunar, LIA, BAD, corpus callosal, and infratentorial.
Specific infarct types are associated with embolic sources, atherosclerosis, hemodynamic failure, or lipohyalinosis.

Conclusions:

A DW-MRI-based classification is fast, easy, and mechanism-oriented.
This classification system can improve acute stroke prognostication, investigation planning, and secondary prevention strategies.