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Titolo:
MRI based diffusion and perfusion predictive model to estimate stroke evolution
Autore:
Rose, SE; Chalk, JB; Griffin, MP; Janke, AL; Chen, F; McLachan, GJ; Peel, D; Zelaya, FO; Markus, HS; Jones, DK; Simmons, A; OSullivan, M; Jarosz, JM; Strugnell, W; Doddrell, DM; Semple, J;
Indirizzi:
Univ Queensland, Ctr Magnet Resonance, Brisbane, Qld 4072, Australia Univ Queensland Brisbane Qld Australia 4072 Brisbane, Qld 4072, Australia Univ Queensland, Dept Med, Brisbane, Qld 4072, Australia Univ Queensland Brisbane Qld Australia 4072 Brisbane, Qld 4072, Australia Univ Queensland, Dept Math, Brisbane, Qld 4072, Australia Univ QueenslandBrisbane Qld Australia 4072 Brisbane, Qld 4072, Australia Princess Alexandra Hosp, Dept Radiol, Brisbane, Qld 4102, Australia Princess Alexandra Hosp Brisbane Qld Australia 4102 , Qld 4102, Australia Inst Brain Res, Melbourne, Vic, Australia Inst Brain Res Melbourne Vic Australia in Res, Melbourne, Vic, Australia Univ London St Georges Hosp, Sch Med, London SW17 0RE, England Univ LondonSt Georges Hosp London England SW17 0RE on SW17 0RE, England Leicester Royal Infirm, Div Med Phys, Leicester, Leics, England Leicester Royal Infirm Leicester Leics England Leicester, Leics, England GlaxoSmithKline Pharmaceut, Addenbrookes Ctr Clin Invest, Cambridge, England GlaxoSmithKline Pharmaceut Cambridge England Invest, Cambridge, England
Titolo Testata:
MAGNETIC RESONANCE IMAGING
fascicolo: 8, volume: 19, anno: 2001,
pagine: 1043 - 1053
SICI:
0730-725X(200110)19:8<1043:MBDAPP>2.0.ZU;2-M
Fonte:
ISI
Lingua:
ENG
Soggetto:
CEREBRAL BLOOD-FLOW; POSITRON-EMISSION-TOMOGRAPHY; HIGH-RESOLUTION MEASUREMENT; IMAGING BOLUS TRACKING; ISCHEMIC STROKE; WEIGHTED MRI; HYPERACUTE STROKE; TIME-COURSE; VOLUME; BRAIN;
Keywords:
acute stroke; magnetic resonance imaging; diffusion and perfusion;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Citazioni:
39
Recensione:
Indirizzi per estratti:
Indirizzo: Rose, SE Univ Queensland, Ctr Magnet Resonance, Brisbane, Qld 4072, Australia Univ Queensland Brisbane Qld Australia 4072 Qld 4072, Australia
Citazione:
S.E. Rose et al., "MRI based diffusion and perfusion predictive model to estimate stroke evolution", MAGN RES IM, 19(8), 2001, pp. 1043-1053

Abstract

In this study we present a novel automated strategy for predicting infarctevolution, based on MR diffusion and perfusion images acquired in the acute stage of stroke. The validity of this methodology was tested on novel patient data including data acquired from an independent stroke clinic. Regions-of-interest (ROIs) defining the initial diffusion lesion and tissue with abnormal hemodynamic function as defined by the mean transit time (MTT) abnormality were automatically extracted from DWI/PI maps. Quantitative measures of cerebral blood flow (CBF) and volume (CBV) along with ratio measures defined relative to the contralateral hemisphere (r(a)CBF and r(a)CBV) werecalculated for the MTT ROIs. A parametric normal classifier algorithm incorporating these measures was used to predict infarct growth. The mean r(a)CBF and r(a)CBV values for eventually infarcted MTT tissue were 0.70 +/-0.19and 1.20 +/-0.36. For recovered tissue the mean values were 0.99 +/-0.25 and 1.87 +/-0.71, respectively. There was a significant difference between these two regions for both measures (P<0.003 and p<0.001, respectively). Mean absolute measures of CBF (ml/100g/min) and CBV (ml/100g) for the total infarcted territory were 33.9 +/-9.7 and 4.2 +/-1.9. For recovered MTT tissue, the mean values were 41.5 +/-7.2 and 5.3 +/-1.2, respectively. A significant difference was also found for these regions (p<0.009 and p<0.036, respectively). The mean measures of sensitivity, specificity, positive and negative predictive values for modeling infarct evolution for the validation patient data were 0.72 +/-0.05, 0.97 +/-0.02, 0.68 +/-0.07 and 0.97 +/-0.02. We propose that this automated strategy may allow possible guided therapeutic intervention to stroke patients and evaluation of efficacy of novel stroke compounds in clinical drug trials. (C) 2001 Elsevier Science Inc. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 22/01/20 alle ore 09:22:54