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Prediction of midline shift after media ischemia using computed tomography perfusion
BACKGROUND: Decision-making about the indication for decompressive hemicraniectomy in cases with malignant infarction in the territory of the middle cerebral artery (MCA) is still a matter of debate. Some scores have been introduced and tested, most of them are midline-shift dependent. We introduce...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8918336/ https://www.ncbi.nlm.nih.gov/pubmed/35279071 http://dx.doi.org/10.1186/s12880-022-00762-0 |
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author | Müller, Sebastian Johannes Khadhraoui, Eya Ernst, Marielle Sophie Riedel, Christian Heiner |
author_facet | Müller, Sebastian Johannes Khadhraoui, Eya Ernst, Marielle Sophie Riedel, Christian Heiner |
author_sort | Müller, Sebastian Johannes |
collection | PubMed |
description | BACKGROUND: Decision-making about the indication for decompressive hemicraniectomy in cases with malignant infarction in the territory of the middle cerebral artery (MCA) is still a matter of debate. Some scores have been introduced and tested, most of them are midline-shift dependent. We introduce the Kinematics of malignant MCA infarction (KM) index, which can be calculated based on an initial computed tomography perfusion scan and the chosen therapy (lysis/thrombectomy/conservative) in order to estimate the maximum midline-shift in the subsequent 6 days. METHODS: We retrospectively analyzed patients with middle cerebral artery infarction who had a non-enhanced computed tomography (CT) scan, CT angiography and a CT perfusion scan in the acute setting and who presented in our emergency room between 2015 and 2019. 186 patients were included. Midline shift was measured on follow-up imaging between days 0 and 6 after stroke. We evaluated Pearson’s correlation between the KM index and the amount of midline shift. RESULTS: The mean KM index of all patients was 1.01 ± 0.09 (decompressive hemicraniectomy subgroup 1.13 ± 0.13; midline shift subgroup 1.18 ± 0.13). The correlation coefficient between the KM index and substantial midline-shift was 0.61, p < 0.01 and between KM index and decompressive hemicraniectomy or death 0.47; p < 0.05. KM index > 1.02 shows a sensitivity of 92% (22/24) and a specificity of 78% (126/162) for detecting midline shifts. The area under curve of the receiver operator characteristics was 91% for midline shifts and 86% for the occurrence of decompressive hemicraniectomy or death. CONCLUSION: In this retrospective study, KM index shows a strong correlation with significant midline-shift. The KM index can be used for risk classification regarding herniation and the need of decompressive hemicraniectomy. |
format | Online Article Text |
id | pubmed-8918336 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-89183362022-03-16 Prediction of midline shift after media ischemia using computed tomography perfusion Müller, Sebastian Johannes Khadhraoui, Eya Ernst, Marielle Sophie Riedel, Christian Heiner BMC Med Imaging Research BACKGROUND: Decision-making about the indication for decompressive hemicraniectomy in cases with malignant infarction in the territory of the middle cerebral artery (MCA) is still a matter of debate. Some scores have been introduced and tested, most of them are midline-shift dependent. We introduce the Kinematics of malignant MCA infarction (KM) index, which can be calculated based on an initial computed tomography perfusion scan and the chosen therapy (lysis/thrombectomy/conservative) in order to estimate the maximum midline-shift in the subsequent 6 days. METHODS: We retrospectively analyzed patients with middle cerebral artery infarction who had a non-enhanced computed tomography (CT) scan, CT angiography and a CT perfusion scan in the acute setting and who presented in our emergency room between 2015 and 2019. 186 patients were included. Midline shift was measured on follow-up imaging between days 0 and 6 after stroke. We evaluated Pearson’s correlation between the KM index and the amount of midline shift. RESULTS: The mean KM index of all patients was 1.01 ± 0.09 (decompressive hemicraniectomy subgroup 1.13 ± 0.13; midline shift subgroup 1.18 ± 0.13). The correlation coefficient between the KM index and substantial midline-shift was 0.61, p < 0.01 and between KM index and decompressive hemicraniectomy or death 0.47; p < 0.05. KM index > 1.02 shows a sensitivity of 92% (22/24) and a specificity of 78% (126/162) for detecting midline shifts. The area under curve of the receiver operator characteristics was 91% for midline shifts and 86% for the occurrence of decompressive hemicraniectomy or death. CONCLUSION: In this retrospective study, KM index shows a strong correlation with significant midline-shift. The KM index can be used for risk classification regarding herniation and the need of decompressive hemicraniectomy. BioMed Central 2022-03-12 /pmc/articles/PMC8918336/ /pubmed/35279071 http://dx.doi.org/10.1186/s12880-022-00762-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Müller, Sebastian Johannes Khadhraoui, Eya Ernst, Marielle Sophie Riedel, Christian Heiner Prediction of midline shift after media ischemia using computed tomography perfusion |
title | Prediction of midline shift after media ischemia using computed tomography perfusion |
title_full | Prediction of midline shift after media ischemia using computed tomography perfusion |
title_fullStr | Prediction of midline shift after media ischemia using computed tomography perfusion |
title_full_unstemmed | Prediction of midline shift after media ischemia using computed tomography perfusion |
title_short | Prediction of midline shift after media ischemia using computed tomography perfusion |
title_sort | prediction of midline shift after media ischemia using computed tomography perfusion |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8918336/ https://www.ncbi.nlm.nih.gov/pubmed/35279071 http://dx.doi.org/10.1186/s12880-022-00762-0 |
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