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Sensitivity of Hyperdense Basilar Artery Sign on Non-Enhanced Computed Tomography
PURPOSE: The hyperdense basilar artery sign (HBAS) is an indicator of vessel occlusion on non contrast-enhanced computer tomography (NECT) in acute stroke patients. Since basilar artery occlusion (BAO) is associated with a high mortality and morbidity, its early detection is of great clinical value....
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610698/ https://www.ncbi.nlm.nih.gov/pubmed/26479718 http://dx.doi.org/10.1371/journal.pone.0141096 |
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author | Ernst, Marielle Romero, Javier M. Buhk, Jan-Hendrik Cheng, Bastian Herrmann, Jochen Fiehler, Jens Groth, Michael |
author_facet | Ernst, Marielle Romero, Javier M. Buhk, Jan-Hendrik Cheng, Bastian Herrmann, Jochen Fiehler, Jens Groth, Michael |
author_sort | Ernst, Marielle |
collection | PubMed |
description | PURPOSE: The hyperdense basilar artery sign (HBAS) is an indicator of vessel occlusion on non contrast-enhanced computer tomography (NECT) in acute stroke patients. Since basilar artery occlusion (BAO) is associated with a high mortality and morbidity, its early detection is of great clinical value. We sought to analyze the influence of density measurement as well as a normalized ratio of Hounsfield unit/hematocrit (HU/Hct) ratio on the detection of BAO on NECT in patients with suspected BAO. MATERIALS AND METHODS: 102 patients with clinically suspected BAO were examined with NECT followed immediately by Multidetector computed tomography Angiography. Two observers independently analyzed the images regarding the presence or absence of HBAS on NECT and performed HU measurements in the basilar artery. Receiver operating characteristic curve analysis was performed to determine the optimal density threshold for BAO using attenuation measurements or HU/Hct ratio. RESULTS: Sensitivity of visual detection of the HBAS on NECT was relatively low 81% (95%-CI, 54–95%) while specificity was high 91% (95%-CI, 82–96%). The highest sensitivity was achieved by the combination of visual assessment and additional quantitative attenuation measurements applying a cut-off value of 46.5 HU with 94% sensitivity and 81% specificity for BAO. A HU/Hct ratio >1.32 revealed sensitivity of 88% (95%-CI, 60–98%) and specificity of 84% (95%-CI, 74–90%). CONCLUSION: In patients with clinically suspected acute BAO the combination of visual assessment and additional attenuation measurement with a cut-off value of 46.5 HU is a reliable approach with high sensitivity in the detection of BAO on NECT. |
format | Online Article Text |
id | pubmed-4610698 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-46106982015-10-29 Sensitivity of Hyperdense Basilar Artery Sign on Non-Enhanced Computed Tomography Ernst, Marielle Romero, Javier M. Buhk, Jan-Hendrik Cheng, Bastian Herrmann, Jochen Fiehler, Jens Groth, Michael PLoS One Research Article PURPOSE: The hyperdense basilar artery sign (HBAS) is an indicator of vessel occlusion on non contrast-enhanced computer tomography (NECT) in acute stroke patients. Since basilar artery occlusion (BAO) is associated with a high mortality and morbidity, its early detection is of great clinical value. We sought to analyze the influence of density measurement as well as a normalized ratio of Hounsfield unit/hematocrit (HU/Hct) ratio on the detection of BAO on NECT in patients with suspected BAO. MATERIALS AND METHODS: 102 patients with clinically suspected BAO were examined with NECT followed immediately by Multidetector computed tomography Angiography. Two observers independently analyzed the images regarding the presence or absence of HBAS on NECT and performed HU measurements in the basilar artery. Receiver operating characteristic curve analysis was performed to determine the optimal density threshold for BAO using attenuation measurements or HU/Hct ratio. RESULTS: Sensitivity of visual detection of the HBAS on NECT was relatively low 81% (95%-CI, 54–95%) while specificity was high 91% (95%-CI, 82–96%). The highest sensitivity was achieved by the combination of visual assessment and additional quantitative attenuation measurements applying a cut-off value of 46.5 HU with 94% sensitivity and 81% specificity for BAO. A HU/Hct ratio >1.32 revealed sensitivity of 88% (95%-CI, 60–98%) and specificity of 84% (95%-CI, 74–90%). CONCLUSION: In patients with clinically suspected acute BAO the combination of visual assessment and additional attenuation measurement with a cut-off value of 46.5 HU is a reliable approach with high sensitivity in the detection of BAO on NECT. Public Library of Science 2015-10-19 /pmc/articles/PMC4610698/ /pubmed/26479718 http://dx.doi.org/10.1371/journal.pone.0141096 Text en © 2015 Ernst 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 Ernst, Marielle Romero, Javier M. Buhk, Jan-Hendrik Cheng, Bastian Herrmann, Jochen Fiehler, Jens Groth, Michael Sensitivity of Hyperdense Basilar Artery Sign on Non-Enhanced Computed Tomography |
title | Sensitivity of Hyperdense Basilar Artery Sign on Non-Enhanced Computed Tomography |
title_full | Sensitivity of Hyperdense Basilar Artery Sign on Non-Enhanced Computed Tomography |
title_fullStr | Sensitivity of Hyperdense Basilar Artery Sign on Non-Enhanced Computed Tomography |
title_full_unstemmed | Sensitivity of Hyperdense Basilar Artery Sign on Non-Enhanced Computed Tomography |
title_short | Sensitivity of Hyperdense Basilar Artery Sign on Non-Enhanced Computed Tomography |
title_sort | sensitivity of hyperdense basilar artery sign on non-enhanced computed tomography |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4610698/ https://www.ncbi.nlm.nih.gov/pubmed/26479718 http://dx.doi.org/10.1371/journal.pone.0141096 |
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