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DWI Intensity Values Predict FLAIR Lesions in Acute Ischemic Stroke
BACKGROUND AND PURPOSE: In acute stroke, the DWI-FLAIR mismatch allows for the allocation of patients to the thrombolysis window (<4.5 hours). FLAIR-lesions, however, may be challenging to assess. In comparison, DWI may be a useful bio-marker owing to high lesion contrast. We investigated the per...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3962388/ https://www.ncbi.nlm.nih.gov/pubmed/24658092 http://dx.doi.org/10.1371/journal.pone.0092295 |
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author | Madai, Vince I. Galinovic, Ivana Grittner, Ulrike Zaro-Weber, Olivier Schneider, Alice Martin, Steve Z. Samson-Himmelstjerna, Federico C. v. Stengl, Katharina L. Mutke, Matthias A. Moeller-Hartmann, Walter Ebinger, Martin Fiebach, Jochen B. Sobesky, Jan |
author_facet | Madai, Vince I. Galinovic, Ivana Grittner, Ulrike Zaro-Weber, Olivier Schneider, Alice Martin, Steve Z. Samson-Himmelstjerna, Federico C. v. Stengl, Katharina L. Mutke, Matthias A. Moeller-Hartmann, Walter Ebinger, Martin Fiebach, Jochen B. Sobesky, Jan |
author_sort | Madai, Vince I. |
collection | PubMed |
description | BACKGROUND AND PURPOSE: In acute stroke, the DWI-FLAIR mismatch allows for the allocation of patients to the thrombolysis window (<4.5 hours). FLAIR-lesions, however, may be challenging to assess. In comparison, DWI may be a useful bio-marker owing to high lesion contrast. We investigated the performance of a relative DWI signal intensity (rSI) threshold to predict the presence of FLAIR-lesions in acute stroke and analyzed its association with time-from-stroke-onset. METHODS: In a retrospective, dual-center MR-imaging study we included patients with acute stroke and time-from-stroke-onset ≤12 hours (group A: n = 49, 1.5T; group B: n = 48, 3T). DW- and FLAIR-images were coregistered. The largest lesion extent in DWI defined the slice for further analysis. FLAIR-lesions were identified by 3 raters, delineated as regions-of-interest (ROIs) and copied on the DW-images. Circular ROIs were placed within the DWI-lesion and labeled according to the FLAIR-pattern (FLAIR+ or FLAIR−). ROI-values were normalized to the unaffected hemisphere. Adjusted and nonadjusted receiver-operating-characteristics (ROC) curve analysis on patient level was performed to analyze the ability of a DWI- and ADC-rSI threshold to predict the presence of FLAIR-lesions. Spearman correlation and adjusted linear regression analysis was performed to assess the relationship between DWI-intensity and time-from-stroke-onset. RESULTS: DWI-rSI performed well in predicting lesions in FLAIR-imaging (mean area under the curve (AUC): group A: 0.84; group B: 0.85). An optimal mean DWI-rSI threshold was identified (A: 162%; B: 161%). ADC-maps performed worse (mean AUC: A: 0.58; B: 0.77). Adjusted regression models confirmed the superior performance of DWI-rSI. Correlation coefficents and linear regression showed a good association with time-from-stroke-onset for DWI-rSI, but not for ADC-rSI. CONCLUSION: An easily assessable DWI-rSI threshold identifies the presence of lesions in FLAIR-imaging with good accuracy and is associated with time-from-stroke-onset in acute stroke. This finding underlines the potential of a DWI-rSI threshold as a marker of lesion age. |
format | Online Article Text |
id | pubmed-3962388 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-39623882014-03-24 DWI Intensity Values Predict FLAIR Lesions in Acute Ischemic Stroke Madai, Vince I. Galinovic, Ivana Grittner, Ulrike Zaro-Weber, Olivier Schneider, Alice Martin, Steve Z. Samson-Himmelstjerna, Federico C. v. Stengl, Katharina L. Mutke, Matthias A. Moeller-Hartmann, Walter Ebinger, Martin Fiebach, Jochen B. Sobesky, Jan PLoS One Research Article BACKGROUND AND PURPOSE: In acute stroke, the DWI-FLAIR mismatch allows for the allocation of patients to the thrombolysis window (<4.5 hours). FLAIR-lesions, however, may be challenging to assess. In comparison, DWI may be a useful bio-marker owing to high lesion contrast. We investigated the performance of a relative DWI signal intensity (rSI) threshold to predict the presence of FLAIR-lesions in acute stroke and analyzed its association with time-from-stroke-onset. METHODS: In a retrospective, dual-center MR-imaging study we included patients with acute stroke and time-from-stroke-onset ≤12 hours (group A: n = 49, 1.5T; group B: n = 48, 3T). DW- and FLAIR-images were coregistered. The largest lesion extent in DWI defined the slice for further analysis. FLAIR-lesions were identified by 3 raters, delineated as regions-of-interest (ROIs) and copied on the DW-images. Circular ROIs were placed within the DWI-lesion and labeled according to the FLAIR-pattern (FLAIR+ or FLAIR−). ROI-values were normalized to the unaffected hemisphere. Adjusted and nonadjusted receiver-operating-characteristics (ROC) curve analysis on patient level was performed to analyze the ability of a DWI- and ADC-rSI threshold to predict the presence of FLAIR-lesions. Spearman correlation and adjusted linear regression analysis was performed to assess the relationship between DWI-intensity and time-from-stroke-onset. RESULTS: DWI-rSI performed well in predicting lesions in FLAIR-imaging (mean area under the curve (AUC): group A: 0.84; group B: 0.85). An optimal mean DWI-rSI threshold was identified (A: 162%; B: 161%). ADC-maps performed worse (mean AUC: A: 0.58; B: 0.77). Adjusted regression models confirmed the superior performance of DWI-rSI. Correlation coefficents and linear regression showed a good association with time-from-stroke-onset for DWI-rSI, but not for ADC-rSI. CONCLUSION: An easily assessable DWI-rSI threshold identifies the presence of lesions in FLAIR-imaging with good accuracy and is associated with time-from-stroke-onset in acute stroke. This finding underlines the potential of a DWI-rSI threshold as a marker of lesion age. Public Library of Science 2014-03-21 /pmc/articles/PMC3962388/ /pubmed/24658092 http://dx.doi.org/10.1371/journal.pone.0092295 Text en © 2014 Madai et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Madai, Vince I. Galinovic, Ivana Grittner, Ulrike Zaro-Weber, Olivier Schneider, Alice Martin, Steve Z. Samson-Himmelstjerna, Federico C. v. Stengl, Katharina L. Mutke, Matthias A. Moeller-Hartmann, Walter Ebinger, Martin Fiebach, Jochen B. Sobesky, Jan DWI Intensity Values Predict FLAIR Lesions in Acute Ischemic Stroke |
title | DWI Intensity Values Predict FLAIR Lesions in Acute Ischemic Stroke |
title_full | DWI Intensity Values Predict FLAIR Lesions in Acute Ischemic Stroke |
title_fullStr | DWI Intensity Values Predict FLAIR Lesions in Acute Ischemic Stroke |
title_full_unstemmed | DWI Intensity Values Predict FLAIR Lesions in Acute Ischemic Stroke |
title_short | DWI Intensity Values Predict FLAIR Lesions in Acute Ischemic Stroke |
title_sort | dwi intensity values predict flair lesions in acute ischemic stroke |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3962388/ https://www.ncbi.nlm.nih.gov/pubmed/24658092 http://dx.doi.org/10.1371/journal.pone.0092295 |
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