Cargando…

Clinicoradiological Correlation of Infarct Patterns on Diffusion-weighted Magnetic Resonance Imaging in Stroke

Diffusion-weighted magnetic resonance imaging (DW-MRI) represents a major advance in the early diagnosis of acute ischemic stroke. It can detect edema due to ischemia in the brain tissue. It not only establishes the presence and location of ischemic brain injury but also a relatively new concept is...

Descripción completa

Detalles Bibliográficos
Autores principales: Hussain, Zainab, Hilal, Kiran, Ahmad, Muhammad, Sajjad, Zafar, Sayani, Raza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5931407/
https://www.ncbi.nlm.nih.gov/pubmed/29725563
http://dx.doi.org/10.7759/cureus.2260
_version_ 1783319632620290048
author Hussain, Zainab
Hilal, Kiran
Ahmad, Muhammad
Sajjad, Zafar
Sayani, Raza
author_facet Hussain, Zainab
Hilal, Kiran
Ahmad, Muhammad
Sajjad, Zafar
Sayani, Raza
author_sort Hussain, Zainab
collection PubMed
description Diffusion-weighted magnetic resonance imaging (DW-MRI) represents a major advance in the early diagnosis of acute ischemic stroke. It can detect edema due to ischemia in the brain tissue. It not only establishes the presence and location of ischemic brain injury but also a relatively new concept is the determination of infarct patterns seen on diffusion imaging and its clinical correlation. Objective To determine the frequency of various infarct patterns and their relationship with functional outcome of the patient. Materials and methods A total of 108 patients with acute stroke were enrolled by purposive sampling. Magnetic resonance imaging (MRI) was obtained with departmental protocol and diffusion-weighted sequences. The clinical data was collected from medical records and functional outcome was assessed at the time of admission using Barthel Index (BI) which was dichotomized into poor and favorable outcomes. The radiological data was collected and three infarct patterns (cortical, subcortical, and territorial infarcts) were recorded from diffusion-weighted images. Association of other risk factors such as age, gender, diabetes, hypertension (HTN), hyperlipidemia, and smoking were also evaluated. Results Amongst the three infarct patterns, subcortical infarcts were noted with the highest proportion of 62% (67/108). The highest proportion of territorial infarcts (78.6%) was significantly associated with a poor outcome in comparison to cortical and subcortical infarcts. Cortical infarcts (61.5%) were significantly associated with good outcomes followed by subcortical and then territorial infarcts (p-value < 0.002). Amongst the risk factors, HTN was found to be highly prevalent followed by diabetes mellitus (DM). Conclusion Subcortical infarct pattern was the most common, followed by territorial and cortical infarct. The highest proportion of infarct pattern with good outcomes was seen with cortical infarcts followed by subcortical and then territorial infarct pattern. HTN and coronary artery disease (CAD) were the effect modifiers showing significant association with poor outcomes.
format Online
Article
Text
id pubmed-5931407
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Cureus
record_format MEDLINE/PubMed
spelling pubmed-59314072018-05-03 Clinicoradiological Correlation of Infarct Patterns on Diffusion-weighted Magnetic Resonance Imaging in Stroke Hussain, Zainab Hilal, Kiran Ahmad, Muhammad Sajjad, Zafar Sayani, Raza Cureus Internal Medicine Diffusion-weighted magnetic resonance imaging (DW-MRI) represents a major advance in the early diagnosis of acute ischemic stroke. It can detect edema due to ischemia in the brain tissue. It not only establishes the presence and location of ischemic brain injury but also a relatively new concept is the determination of infarct patterns seen on diffusion imaging and its clinical correlation. Objective To determine the frequency of various infarct patterns and their relationship with functional outcome of the patient. Materials and methods A total of 108 patients with acute stroke were enrolled by purposive sampling. Magnetic resonance imaging (MRI) was obtained with departmental protocol and diffusion-weighted sequences. The clinical data was collected from medical records and functional outcome was assessed at the time of admission using Barthel Index (BI) which was dichotomized into poor and favorable outcomes. The radiological data was collected and three infarct patterns (cortical, subcortical, and territorial infarcts) were recorded from diffusion-weighted images. Association of other risk factors such as age, gender, diabetes, hypertension (HTN), hyperlipidemia, and smoking were also evaluated. Results Amongst the three infarct patterns, subcortical infarcts were noted with the highest proportion of 62% (67/108). The highest proportion of territorial infarcts (78.6%) was significantly associated with a poor outcome in comparison to cortical and subcortical infarcts. Cortical infarcts (61.5%) were significantly associated with good outcomes followed by subcortical and then territorial infarcts (p-value < 0.002). Amongst the risk factors, HTN was found to be highly prevalent followed by diabetes mellitus (DM). Conclusion Subcortical infarct pattern was the most common, followed by territorial and cortical infarct. The highest proportion of infarct pattern with good outcomes was seen with cortical infarcts followed by subcortical and then territorial infarct pattern. HTN and coronary artery disease (CAD) were the effect modifiers showing significant association with poor outcomes. Cureus 2018-03-02 /pmc/articles/PMC5931407/ /pubmed/29725563 http://dx.doi.org/10.7759/cureus.2260 Text en Copyright © 2018, Hussain et al. http://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Internal Medicine
Hussain, Zainab
Hilal, Kiran
Ahmad, Muhammad
Sajjad, Zafar
Sayani, Raza
Clinicoradiological Correlation of Infarct Patterns on Diffusion-weighted Magnetic Resonance Imaging in Stroke
title Clinicoradiological Correlation of Infarct Patterns on Diffusion-weighted Magnetic Resonance Imaging in Stroke
title_full Clinicoradiological Correlation of Infarct Patterns on Diffusion-weighted Magnetic Resonance Imaging in Stroke
title_fullStr Clinicoradiological Correlation of Infarct Patterns on Diffusion-weighted Magnetic Resonance Imaging in Stroke
title_full_unstemmed Clinicoradiological Correlation of Infarct Patterns on Diffusion-weighted Magnetic Resonance Imaging in Stroke
title_short Clinicoradiological Correlation of Infarct Patterns on Diffusion-weighted Magnetic Resonance Imaging in Stroke
title_sort clinicoradiological correlation of infarct patterns on diffusion-weighted magnetic resonance imaging in stroke
topic Internal Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5931407/
https://www.ncbi.nlm.nih.gov/pubmed/29725563
http://dx.doi.org/10.7759/cureus.2260
work_keys_str_mv AT hussainzainab clinicoradiologicalcorrelationofinfarctpatternsondiffusionweightedmagneticresonanceimaginginstroke
AT hilalkiran clinicoradiologicalcorrelationofinfarctpatternsondiffusionweightedmagneticresonanceimaginginstroke
AT ahmadmuhammad clinicoradiologicalcorrelationofinfarctpatternsondiffusionweightedmagneticresonanceimaginginstroke
AT sajjadzafar clinicoradiologicalcorrelationofinfarctpatternsondiffusionweightedmagneticresonanceimaginginstroke
AT sayaniraza clinicoradiologicalcorrelationofinfarctpatternsondiffusionweightedmagneticresonanceimaginginstroke