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Titolo:
Automated three-dimensional signature model for assessing brain injury in emergent stroke
Autore:
Welch, KMA; Nagesh, V; DOlhaberriague, LD; Zhang, ZG; Boska, MD; Patel, S; Windham, JP;
Indirizzi:
Univ Kansas, Med Ctr, Dept Neurol, Kansas City, KS 66160 USA Univ Kansas Kansas City KS USA 66160 pt Neurol, Kansas City, KS 66160 USA Henry Ford Hlth Sci Ctr, Dept Neurol, Detroit, MI USA Henry Ford Hlth Sci Ctr Detroit MI USA Ctr, Dept Neurol, Detroit, MI USA
Titolo Testata:
CEREBROVASCULAR DISEASES
, volume: 11, anno: 2001, supplemento:, 1
pagine: 9 - 14
SICI:
1015-9770(2001)11:<9:ATSMFA>2.0.ZU;2-K
Fonte:
ISI
Lingua:
ENG
Soggetto:
AMERICAN-HEART-ASSOCIATION; APPARENT DIFFUSION-COEFFICIENT; HEALTH-CARE PROFESSIONALS; SPECIAL WRITING GROUP; CEREBRAL-ISCHEMIA; TIME-COURSE; RESONANCE; GUIDELINES; COUNCIL; RATS;
Keywords:
MRI techniques; stroke analysis; T-2-weighted images; apparent diffusion coefficient of water;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Life Sciences
Citazioni:
25
Recensione:
Indirizzi per estratti:
Indirizzo: Welch, KMA Univ Kansas, Med Ctr, Dept Neurol, 3901 Rainbow Blvd,Murphy 3022, Kansas City, KS 66160 USA Univ Kansas 3901 Rainbow Blvd,Murphy 3022 Kansas City KS USA 66160
Citazione:
K.M.A. Welch et al., "Automated three-dimensional signature model for assessing brain injury in emergent stroke", CEREB DIS, 11, 2001, pp. 9-14

Abstract

This presentation will focus on the value of established and newer MR methods that can be applied to the diagnosis and management of ischemic stroke with emphasis on future applications of MR to provide previously unmet needs of the treating clinician and clinical trials. Time alone is an inadequate indicator of the therapeutic window, especially when the time of stroke onset is uncertain. Thus, there is a need to predict the evolution of strokein a way that more precisely and with greater resolution identifies the progression of cellular damage at the moment of investigation. This also would be of value for thrombolysis when knowledge of the degree and extent of tissue necrosis and the consequent potential for brain hemorrhage is of the utmost importance. To provide this, we perform postprocessing of diffusion-, T-1- and T-2-weighted images to produce the apparent diffusion coefficient of water, and T-1 and T-2 maps that are then further processed to providemaps and quantitation of the tissue signatures of ischemic histopathology. By these means, we can accomplish objective volumetric analysis of infarctsize and of the proportions of potentially viable and salvageable tissue. We will show how this has the potential to predict long-term stroke outcomeand facilitate decision-making in terms of safety of reperfusion strategies and the appropriateness of cytoprotective treatment. The value of our approach is to replace time as the therapeutic window and extend the opportunity of treatment to those patients presenting beyond the stringent time limits employed in current investigative clinical trials. Further, used as a surrogate marker of clinical outcome, this form of stroke analysis may speed proof of principle clinical trials in small numbers of stroke patients. Copyright (C) 2001 S. Karger AG, Basel.

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Documento generato il 22/10/20 alle ore 00:30:38