Combining magnetic resonance imaging within six-hours of symptom onset with clinical follow-up at 24h improves prediction of 'malignant' middle cerebral artery infarction

Background A large diffusion-weighted imaging lesion ≤six-hours of symptom onset was found to predict the development of 'malignant' middle cerebral artery infarction with high specificity, positive predictive value, and negative predictive value, but sensitivity was low. Hypothesis We tes...

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Veröffentlicht in:International journal of stroke 2014-02, Vol.9 (2), p.210
Hauptverfasser: Kruetzelmann, Anna, Hartmann, Frank, Beck, Christoph, Juettler, Eric, Singer, Oliver C, Kohrmann, Martin, Kersten, Jan F, Sobesky, Jan, Gerloff, Christian, Villringer, Arno, Fiehler, Jens, Neumann-Haefelin, Tobias, Schellinger, Peter D, Rother, Joachim, Thomalla, Götz
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container_issue 2
container_start_page 210
container_title International journal of stroke
container_volume 9
creator Kruetzelmann, Anna
Hartmann, Frank
Beck, Christoph
Juettler, Eric
Singer, Oliver C
Kohrmann, Martin
Kersten, Jan F
Sobesky, Jan
Gerloff, Christian
Villringer, Arno
Fiehler, Jens
Neumann-Haefelin, Tobias
Schellinger, Peter D
Rother, Joachim
Thomalla, Götz
description Background A large diffusion-weighted imaging lesion ≤six-hours of symptom onset was found to predict the development of 'malignant' middle cerebral artery infarction with high specificity, positive predictive value, and negative predictive value, but sensitivity was low. Hypothesis We tested the hypothesis that sensitivity can be improved by adding information from clinical follow-up examination after 24h. Methods We analyzed data from a prospective, multicenter, observational cohort study of patients with acute ischemic stroke and middle cerebral artery occlusion studied by stroke magnetic resonance imaging ≤six-hours of symptom onset. We used the National Institutes of Health Stroke Scale to assess severity of symptoms after 24h. We used the Classification and Regression Trees analysis to define the optimal thresholds of diffusion-weighted imaging lesion volume and the National Institutes of Health Stroke Scale after 24h in patients developing 'malignant' middle cerebral artery infarction. We calculated sensitivity, specificity, positive predictive value, and negative predictive value for two simple predictive models based on acute diffusion-weighted imaging lesion volume alone and acute diffusion-weighted imaging lesion volume together with the National Institutes of Health Stroke Scale after 24h. Results Of 135 patients, 27 (20%) developed a 'malignant' middle cerebral artery infarction. The Classification and Regression Trees analysis identified acute diffusion-weighted imaging lesion ≥78ml and the National Institutes of Health Stroke Scale score after 24h ≥22 as optimal cut-offs. Inclusion of the National Institutes of Health Stroke Scale score after 24h in a simple two-step decision tree increased sensitivity from 0·59 to 0·79, while specificity, positive predictive value, and negative predictive value remained largely unchanged. Conclusion Clinical follow-up examination after 24h helps identify patients at risk of 'malignant' middle cerebral artery infarction that are missed by predictive algorithms based on early diffusion-weighted imaging lesion volume alone. [PUBLICATION ABSTRACT]
doi_str_mv 10.1111/ijs.12060
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Hypothesis We tested the hypothesis that sensitivity can be improved by adding information from clinical follow-up examination after 24h. Methods We analyzed data from a prospective, multicenter, observational cohort study of patients with acute ischemic stroke and middle cerebral artery occlusion studied by stroke magnetic resonance imaging ≤six-hours of symptom onset. We used the National Institutes of Health Stroke Scale to assess severity of symptoms after 24h. We used the Classification and Regression Trees analysis to define the optimal thresholds of diffusion-weighted imaging lesion volume and the National Institutes of Health Stroke Scale after 24h in patients developing 'malignant' middle cerebral artery infarction. We calculated sensitivity, specificity, positive predictive value, and negative predictive value for two simple predictive models based on acute diffusion-weighted imaging lesion volume alone and acute diffusion-weighted imaging lesion volume together with the National Institutes of Health Stroke Scale after 24h. Results Of 135 patients, 27 (20%) developed a 'malignant' middle cerebral artery infarction. The Classification and Regression Trees analysis identified acute diffusion-weighted imaging lesion ≥78ml and the National Institutes of Health Stroke Scale score after 24h ≥22 as optimal cut-offs. Inclusion of the National Institutes of Health Stroke Scale score after 24h in a simple two-step decision tree increased sensitivity from 0·59 to 0·79, while specificity, positive predictive value, and negative predictive value remained largely unchanged. Conclusion Clinical follow-up examination after 24h helps identify patients at risk of 'malignant' middle cerebral artery infarction that are missed by predictive algorithms based on early diffusion-weighted imaging lesion volume alone. 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Hypothesis We tested the hypothesis that sensitivity can be improved by adding information from clinical follow-up examination after 24h. Methods We analyzed data from a prospective, multicenter, observational cohort study of patients with acute ischemic stroke and middle cerebral artery occlusion studied by stroke magnetic resonance imaging ≤six-hours of symptom onset. We used the National Institutes of Health Stroke Scale to assess severity of symptoms after 24h. We used the Classification and Regression Trees analysis to define the optimal thresholds of diffusion-weighted imaging lesion volume and the National Institutes of Health Stroke Scale after 24h in patients developing 'malignant' middle cerebral artery infarction. We calculated sensitivity, specificity, positive predictive value, and negative predictive value for two simple predictive models based on acute diffusion-weighted imaging lesion volume alone and acute diffusion-weighted imaging lesion volume together with the National Institutes of Health Stroke Scale after 24h. Results Of 135 patients, 27 (20%) developed a 'malignant' middle cerebral artery infarction. The Classification and Regression Trees analysis identified acute diffusion-weighted imaging lesion ≥78ml and the National Institutes of Health Stroke Scale score after 24h ≥22 as optimal cut-offs. Inclusion of the National Institutes of Health Stroke Scale score after 24h in a simple two-step decision tree increased sensitivity from 0·59 to 0·79, while specificity, positive predictive value, and negative predictive value remained largely unchanged. Conclusion Clinical follow-up examination after 24h helps identify patients at risk of 'malignant' middle cerebral artery infarction that are missed by predictive algorithms based on early diffusion-weighted imaging lesion volume alone. 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Hypothesis We tested the hypothesis that sensitivity can be improved by adding information from clinical follow-up examination after 24h. Methods We analyzed data from a prospective, multicenter, observational cohort study of patients with acute ischemic stroke and middle cerebral artery occlusion studied by stroke magnetic resonance imaging ≤six-hours of symptom onset. We used the National Institutes of Health Stroke Scale to assess severity of symptoms after 24h. We used the Classification and Regression Trees analysis to define the optimal thresholds of diffusion-weighted imaging lesion volume and the National Institutes of Health Stroke Scale after 24h in patients developing 'malignant' middle cerebral artery infarction. We calculated sensitivity, specificity, positive predictive value, and negative predictive value for two simple predictive models based on acute diffusion-weighted imaging lesion volume alone and acute diffusion-weighted imaging lesion volume together with the National Institutes of Health Stroke Scale after 24h. Results Of 135 patients, 27 (20%) developed a 'malignant' middle cerebral artery infarction. The Classification and Regression Trees analysis identified acute diffusion-weighted imaging lesion ≥78ml and the National Institutes of Health Stroke Scale score after 24h ≥22 as optimal cut-offs. Inclusion of the National Institutes of Health Stroke Scale score after 24h in a simple two-step decision tree increased sensitivity from 0·59 to 0·79, while specificity, positive predictive value, and negative predictive value remained largely unchanged. Conclusion Clinical follow-up examination after 24h helps identify patients at risk of 'malignant' middle cerebral artery infarction that are missed by predictive algorithms based on early diffusion-weighted imaging lesion volume alone. [PUBLICATION ABSTRACT]</abstract><cop>Richmond</cop><pub>Sage Publications Ltd</pub><doi>10.1111/ijs.12060</doi></addata></record>
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subjects Hypotheses
Medical research
NMR
Nuclear magnetic resonance
Stroke
title Combining magnetic resonance imaging within six-hours of symptom onset with clinical follow-up at 24h improves prediction of 'malignant' middle cerebral artery infarction
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