Literature DB >> 20728219

Early ADC changes in motor structures predict outcome of acute stroke better than lesion volume.

C Rosso1, O Colliot2, C Pires3, C Delmaire4, R Valabrègue5, S Crozier3, D Dormont6, S Baillet7, Y Samson8, S Lehéricy9.   

Abstract

OBJECTIVES: The lesion volume assessed from diffusion-weighted imaging (DWI) within the first six hours to first week following stroke onset has been proposed as a predictor of functional outcome in clinical studies. However, the prediction accuracy decreases when the DWI lesion volume is measured during the earliest stages of patient evaluation. In this study, our hypothesis was that the combination of lesion location (motor-related regions) and diffusivity measures (such as Apparent Diffusion Coefficient [ADC]) at the acute stage of stroke predict clinical outcome. PATIENTS AND METHODS: Seventy-nine consecutive acute carotid territory stroke patients (median age: 62 years) were included in the study and outcome at three months was assessed using the modified Rankin scale (good outcome: mRS 0-2; poor outcome: mRS 3-5). DWI was acquired within the first six hours of stroke onset (H2) and the following day (D1). Apparent Diffusion Coefficient (ADC) values were measured in the corticospinal tract (CST), the primary motor cortex (M1), the supplementary motor area (SMA), the putamen in the affected hemisphere, and in the contralateral cerebellum to predict stroke outcome.
RESULTS: Prediction of poor vs. good outcome at the individual level at H2 (D1, respectively) was achieved with 74% accuracy, 95%CI: 53-89% (75%, 95% CI: 61-89%, respectively) when patients were classified from ADC values measured in the putamen and CST. Prediction accuracy from DWI volumes reached only 62% (95%CI: 42-79%) at H2 and 69% (95%CI: 50-85%) at D1.
CONCLUSION: We therefore show that measures of ADC at the acute stage in deeper motor structures (putamen and CST) are better predictors of stroke outcome than DWI lesion volume.
Copyright © 2010 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  ADC; DWI; Outcome; Stroke

Mesh:

Year:  2010        PMID: 20728219     DOI: 10.1016/j.neurad.2010.05.001

Source DB:  PubMed          Journal:  J Neuroradiol        ISSN: 0150-9861            Impact factor:   3.447


  7 in total

1.  Quantification of brain edema and hemorrhage by MRI after experimental traumatic brain injury in rabbits predicts subsequent functional outcome.

Authors:  Yue-Hua Li; Jian-Bo Wang; Ming-Hua Li; Wen-Bin Li; Dan Wang
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2.  Tissue at risk in the deep middle cerebral artery territory is critical to stroke outcome.

Authors:  Charlotte Rosso; Olivier Colliot; Romain Valabrègue; Sophie Crozier; Didier Dormont; Stéphane Lehéricy; Yves Samson
Journal:  Neuroradiology       Date:  2011-07-26       Impact factor: 2.804

3.  Apparent diffusion coefficient signature of ischemic tissue predicts neurological progression in isolated pontine infarcts.

Authors:  Dogan Dinc Oge; Mehmet A Topcuoglu; Ethem Murat Arsava
Journal:  Eur Stroke J       Date:  2022-01-31

4.  Longitudinal MRI dynamics of recent small subcortical infarcts and possible predictors.

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Journal:  J Cereb Blood Flow Metab       Date:  2018-05-08       Impact factor: 6.200

5.  Hyperglycaemia, insulin therapy and critical penumbral regions for prognosis in acute stroke: further insights from the INSULINFARCT trial.

Authors:  Charlotte Rosso; Christine Pires; Jean-Christophe Corvol; Flore Baronnet; Sophie Crozier; Anne Leger; Sandrine Deltour; Romain Valabregue; Mélika Amor-Sahli; Stéphane Lehéricy; Didier Dormont; Yves Samson
Journal:  PLoS One       Date:  2015-03-20       Impact factor: 3.240

6.  Feasibility of a Clinical-Radiomics Model to Predict the Outcomes of Acute Ischemic Stroke.

Authors:  Yiran Zhou; Di Wu; Su Yan; Yan Xie; Shun Zhang; Wenzhi Lv; Yuanyuan Qin; Yufei Liu; Chengxia Liu; Jun Lu; Jia Li; Hongquan Zhu; Weiyin Vivian Liu; Huan Liu; Guiling Zhang; Wenzhen Zhu
Journal:  Korean J Radiol       Date:  2022-05-27       Impact factor: 7.109

7.  Development and validation of a penumbra-based predictive model for thrombolysis outcome in acute ischemic stroke patients.

Authors:  Tian-Yu Tang; Yun Jiao; Ying Cui; Chu-Hui Zeng; Deng-Ling Zhao; Yi Zhang; Cheng-Yu Peng; Xin-Dao Yin; Pei-Yi Gao; Yun-Jun Yang; Sheng-Hong Ju; Gao-Jun Teng
Journal:  EBioMedicine       Date:  2018-08-23       Impact factor: 8.143

  7 in total

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