CT imaging selection in acute stroke

Bouchez, Laurie; Sztajzel, Roman; Vargas, Maria Isabel; Machi, Paolo; Kulcsár, Zsolt; Poletti, Pierre–Alexandre; Pereira, Vítor Mendes; Lövblad, Karl‐Olof

doi:10.1016/j.ejrad.2016.10.026

Cited by 19 publications

(15 citation statements)

References 46 publications

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“…Es útil para detectar áreas de oclusión o estenosis y para identificar enfermedad vascular extracraneana (31,34). La angio-TAC también es útil para caracterizar la morfología del trombo, ya que la longitud de este es uno de los factores predictores del desenlace funcional del paciente (35). Se ha demostrado que la angio-TAC es confiable para la evaluación de grandes vasos intracraneales, pues la AHA lo recomienda para pacientes candidatos a terapia endovascular (32).…”

Section: Ayudas Diagnósticasunclassified

Actualización en diagnóstico y tratamiento del ataque cerebrovascular isquémico agudo

et al. 2019

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Resumen: El ataque cerebrovascular (ACV) agudo es la segunda causa de muerte en el mundo y genera costos elevados en su tratamiento y recuperación, así como un gran impacto socioeconómico, pues es la principal causa de discapacidad a largo plazo. Si bien la tomografía axial computarizada (TAC) cerebral simple sigue siendo la imagen recomendada por las guías internacionales para la evaluación inicial y toma de decisiones sobre el manejo del paciente con sospecha de ACV, en los últimos años ha habido extraordinarios avances en el diagnóstico oportuno y temprano del ACV con nuevas herramientas que van desde la estandarización de la angiotomografía cerebral como uno de los estudios principales en el enfoque inicial hasta el uso de técnicas de perfusión por tomografía y resonancia magnética (RM) cerebral, que permiten establecer el núcleo del infarto y el área circundante potencialmente salvable, por lo que es posible ofrecer terapias que brindan al paciente funcionalidad y calidad de vida a mediano y largo plazo. Teniendo en cuenta lo anterior, es vital actualizar los métodos diagnósticos actuales disponibles en el país y las distintas terapias disponibles, según sea el caso de cada paciente, para el ACV isquémico agudo, con un enfoque clínico práctico y aplicable al escenario actual de salud en Colombia.

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Section: Ayudas Diagnósticasunclassified

Actualización en diagnóstico y tratamiento del ataque cerebrovascular isquémico agudo

et al. 2019

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“…The type of hemorrhage where it bleeds in the surrounding of the brain is said to be SAH. The proposed system employs CT scanned images [2]. The tissues inside the brainare scanned at varying levels of intensity.…”

Section: Sub Arachnoid Hemorrhage (Sah)mentioning

confidence: 99%

An Efficient Hemorrhage Detection System using Decision Tree Classifier

P*¹,

Sankar²,

Dhanalakshmi³

2019

IJRTE

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the visual representations of the inner constituents of body along with the functions of either organs or tissues comprising its physiology are developed in medical imaging. These images can be obtained by various techniques such as computed tomography (CT), magnetic resonant imaging (MRI), and x-ray. The objective of the system mentioned in this paper is to detect the presence of hemorrhage and to classify the type of it when detected. CT images are considered here to find the hemorrhage. Pre-processing techniques such as grayscale conversion, image resizing, edge detection and sharpening are done to make the input image suitable for further processing. After preprocessing the images go through morphological operations to help identify the shape related features in correspondence to the hemorrhage. Sobel and markers are used in the processed ct image to highlight the interested region. Then watershed algorithm is employed for the purpose of segmentation. The presence of hemorrhage can be detected as a result of segmentation. Once hemorrhage is detected feature extraction is done to classify its type. Active contours are drawn and features extracted are fed to the decision tree. The classifier helps in finding the type of hemorrhage with the detected features. The classifier result can be viewed, interpreted and evaluated by medical assistance. The aim of this research is to increase the chance of predicting hemorrhage in the image and then to classify its type. The proposed system classifies three types of hemorrhages. The average accuracy of the system in classifying the three types of hemorrhage is found as 98%

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“…Using modern CT techniques may be a way to further characterize these clots: Indeed, CT is, currently, the preferred technique of choice for the first evaluation of a patient with stroke, due to its sensitivity for hemorrhage. 4 The dense artery sign is a well-established sign of acute occlusion that corresponds to the presence of an occluding clot. The morphology and direction of the clot and the associated vessel morphology can be assessed by CTA; however, more exact information on clot composition might be extracted by further evaluation of the imaging characteristics of the clot.…”

mentioning

confidence: 99%

Targeting the Clot in Acute Stroke

Lövblad

2018

AJNR Am J Neuroradiol

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CT imaging selection in acute stroke

Cited by 19 publications

References 46 publications

Actualización en diagnóstico y tratamiento del ataque cerebrovascular isquémico agudo

Actualización en diagnóstico y tratamiento del ataque cerebrovascular isquémico agudo

An Efficient Hemorrhage Detection System using Decision Tree Classifier

Targeting the Clot in Acute Stroke

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