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Assessment of brain midline shift using sonography in neurosurgical ICU patients
INTRODUCTION: Brain midline shift (MLS) is a life-threatening condition that requires urgent diagnosis and treatment. We aimed to validate bedside assessment of MLS with Transcranial Sonography (TCS) in neurosurgical ICU patients by comparing it to CT. METHODS: In this prospective single centre stud...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4305234/ https://www.ncbi.nlm.nih.gov/pubmed/25488604 http://dx.doi.org/10.1186/s13054-014-0676-9 |
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author | Motuel, Julie Biette, Isaure Srairi, Mohamed Mrozek, Ségolène Kurrek, Matt M Chaynes, Patrick Cognard, Christophe Fourcade, Olivier Geeraerts, Thomas |
author_facet | Motuel, Julie Biette, Isaure Srairi, Mohamed Mrozek, Ségolène Kurrek, Matt M Chaynes, Patrick Cognard, Christophe Fourcade, Olivier Geeraerts, Thomas |
author_sort | Motuel, Julie |
collection | PubMed |
description | INTRODUCTION: Brain midline shift (MLS) is a life-threatening condition that requires urgent diagnosis and treatment. We aimed to validate bedside assessment of MLS with Transcranial Sonography (TCS) in neurosurgical ICU patients by comparing it to CT. METHODS: In this prospective single centre study, patients who underwent a head CT were included and a concomitant TCS performed. TCS MLS was determined by measuring the difference between the distance from skull to the third ventricle on both sides, using a 2 to 4 MHz probe through the temporal window. CT MLS was measured as the difference between the ideal midline and the septum pellucidum. A significant MLS was defined on head CT as >0.5 cm. RESULTS: A total of 52 neurosurgical ICU patients were included. The MLS (mean ± SD) was 0.32 ± 0.36 cm using TCS and 0.47 ± 0.67 cm using CT. The Pearson’s correlation coefficient (r(2)) between TCS and CT scan was 0.65 (P <0.001). The bias was 0.09 cm and the limits of agreements were 1.10 and -0.92 cm. The area under the ROC curve for detecting a significant MLS with TCS was 0.86 (95% CI =0.74 to 0.94), and, using 0.35 cm as a cut-off, the sensitivity was 84.2%, the specificity 84.8% and the positive likelihood ratio was 5.56. CONCLUSIONS: This study suggests that TCS could detect MLS with reasonable accuracy in neurosurgical ICU patients and that it could serve as a bedside tool to facilitate early diagnosis and treatment for patients with a significant intracranial mass effect. |
format | Online Article Text |
id | pubmed-4305234 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43052342015-01-25 Assessment of brain midline shift using sonography in neurosurgical ICU patients Motuel, Julie Biette, Isaure Srairi, Mohamed Mrozek, Ségolène Kurrek, Matt M Chaynes, Patrick Cognard, Christophe Fourcade, Olivier Geeraerts, Thomas Crit Care Research INTRODUCTION: Brain midline shift (MLS) is a life-threatening condition that requires urgent diagnosis and treatment. We aimed to validate bedside assessment of MLS with Transcranial Sonography (TCS) in neurosurgical ICU patients by comparing it to CT. METHODS: In this prospective single centre study, patients who underwent a head CT were included and a concomitant TCS performed. TCS MLS was determined by measuring the difference between the distance from skull to the third ventricle on both sides, using a 2 to 4 MHz probe through the temporal window. CT MLS was measured as the difference between the ideal midline and the septum pellucidum. A significant MLS was defined on head CT as >0.5 cm. RESULTS: A total of 52 neurosurgical ICU patients were included. The MLS (mean ± SD) was 0.32 ± 0.36 cm using TCS and 0.47 ± 0.67 cm using CT. The Pearson’s correlation coefficient (r(2)) between TCS and CT scan was 0.65 (P <0.001). The bias was 0.09 cm and the limits of agreements were 1.10 and -0.92 cm. The area under the ROC curve for detecting a significant MLS with TCS was 0.86 (95% CI =0.74 to 0.94), and, using 0.35 cm as a cut-off, the sensitivity was 84.2%, the specificity 84.8% and the positive likelihood ratio was 5.56. CONCLUSIONS: This study suggests that TCS could detect MLS with reasonable accuracy in neurosurgical ICU patients and that it could serve as a bedside tool to facilitate early diagnosis and treatment for patients with a significant intracranial mass effect. BioMed Central 2014-12-09 2014 /pmc/articles/PMC4305234/ /pubmed/25488604 http://dx.doi.org/10.1186/s13054-014-0676-9 Text en © Motuel et al.; licensee BioMed Central. 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Motuel, Julie Biette, Isaure Srairi, Mohamed Mrozek, Ségolène Kurrek, Matt M Chaynes, Patrick Cognard, Christophe Fourcade, Olivier Geeraerts, Thomas Assessment of brain midline shift using sonography in neurosurgical ICU patients |
title | Assessment of brain midline shift using sonography in neurosurgical ICU patients |
title_full | Assessment of brain midline shift using sonography in neurosurgical ICU patients |
title_fullStr | Assessment of brain midline shift using sonography in neurosurgical ICU patients |
title_full_unstemmed | Assessment of brain midline shift using sonography in neurosurgical ICU patients |
title_short | Assessment of brain midline shift using sonography in neurosurgical ICU patients |
title_sort | assessment of brain midline shift using sonography in neurosurgical icu patients |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4305234/ https://www.ncbi.nlm.nih.gov/pubmed/25488604 http://dx.doi.org/10.1186/s13054-014-0676-9 |
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