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Value of ultrasound fusion imaging in detecting vascular cerebral white matter pathology
BACKGROUND: Transcranial sonography is beside magnetic resonance imaging (MRI) and computed tomography, a well-established imaging method for evaluation of brain parenchyma and already implicated in various neurological disorders as bed-side investigation possibility in clinical routine. The aim of...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206046/ https://www.ncbi.nlm.nih.gov/pubmed/35713746 http://dx.doi.org/10.1186/s13089-022-00275-5 |
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author | Brunner, Cornelia Schreiber, Stephan Joachim Bokemeyer, Martin Ransmayr, Gerhard Struhal, Walter Olbert, Elisabeth Daniela Alhani, Naela Vosko, Milan Rastislav |
author_facet | Brunner, Cornelia Schreiber, Stephan Joachim Bokemeyer, Martin Ransmayr, Gerhard Struhal, Walter Olbert, Elisabeth Daniela Alhani, Naela Vosko, Milan Rastislav |
author_sort | Brunner, Cornelia |
collection | PubMed |
description | BACKGROUND: Transcranial sonography is beside magnetic resonance imaging (MRI) and computed tomography, a well-established imaging method for evaluation of brain parenchyma and already implicated in various neurological disorders as bed-side investigation possibility in clinical routine. The aim of this study was the qualitative assessment detecting vascular white matter hyperintensities (WMHs), with ultrasound fusion-imaging technique (UFI) and to find the optimal location for their visualization in accordance to the grade of WMHs and to possibly providing a standardized protocol for clinical use. RESULTS: 29 patients with WMHs of variable degree quantified according to Fazekas grading scale (n = 13 I; n = 9 II; n = 7 III) and 11 subjects with normal findings on MRI were identified for further analysis. Ultrasound images were analyzed to a standardized protocol and predefined anatomical landmarks. UFI could visualize the MRI-verified WMHs in 147 of 161 localizations (91%). The overall ultrasound detection rate of WMHs increased with higher degree of WMHs burden (I:85%, II:94%, III:97%). The highest sensitivity was achieved at the contralateral central part (CPc) (97%) of the lateral ventricle. The inter-rater analysis between 2 independent raters, who were blinded to the patient’s diagnosis and assessed only the B-mode ultrasound images, indicated an 86% agreement with an overall moderate strength of agreement (κ: 0.489, p < 0.0005) for all localizations. The highest accordance within raters was shown at the CPc; 92% (κ: 0.645, p < 0.0005). CONCLUSIONS: This explorative study describes prospectively the ultrasound detection of periventricular vascular WMHs based on MRI lesions using UFI. Transcranial ultrasound (TCS) could serve as an additional screening opportunity for the detection of incidental WMLs during routine TCS investigations to initiate early vascular risk factor modification in primary prevention. |
format | Online Article Text |
id | pubmed-9206046 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-92060462022-06-19 Value of ultrasound fusion imaging in detecting vascular cerebral white matter pathology Brunner, Cornelia Schreiber, Stephan Joachim Bokemeyer, Martin Ransmayr, Gerhard Struhal, Walter Olbert, Elisabeth Daniela Alhani, Naela Vosko, Milan Rastislav Ultrasound J Original Article BACKGROUND: Transcranial sonography is beside magnetic resonance imaging (MRI) and computed tomography, a well-established imaging method for evaluation of brain parenchyma and already implicated in various neurological disorders as bed-side investigation possibility in clinical routine. The aim of this study was the qualitative assessment detecting vascular white matter hyperintensities (WMHs), with ultrasound fusion-imaging technique (UFI) and to find the optimal location for their visualization in accordance to the grade of WMHs and to possibly providing a standardized protocol for clinical use. RESULTS: 29 patients with WMHs of variable degree quantified according to Fazekas grading scale (n = 13 I; n = 9 II; n = 7 III) and 11 subjects with normal findings on MRI were identified for further analysis. Ultrasound images were analyzed to a standardized protocol and predefined anatomical landmarks. UFI could visualize the MRI-verified WMHs in 147 of 161 localizations (91%). The overall ultrasound detection rate of WMHs increased with higher degree of WMHs burden (I:85%, II:94%, III:97%). The highest sensitivity was achieved at the contralateral central part (CPc) (97%) of the lateral ventricle. The inter-rater analysis between 2 independent raters, who were blinded to the patient’s diagnosis and assessed only the B-mode ultrasound images, indicated an 86% agreement with an overall moderate strength of agreement (κ: 0.489, p < 0.0005) for all localizations. The highest accordance within raters was shown at the CPc; 92% (κ: 0.645, p < 0.0005). CONCLUSIONS: This explorative study describes prospectively the ultrasound detection of periventricular vascular WMHs based on MRI lesions using UFI. Transcranial ultrasound (TCS) could serve as an additional screening opportunity for the detection of incidental WMLs during routine TCS investigations to initiate early vascular risk factor modification in primary prevention. Springer International Publishing 2022-06-17 /pmc/articles/PMC9206046/ /pubmed/35713746 http://dx.doi.org/10.1186/s13089-022-00275-5 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/) . |
spellingShingle | Original Article Brunner, Cornelia Schreiber, Stephan Joachim Bokemeyer, Martin Ransmayr, Gerhard Struhal, Walter Olbert, Elisabeth Daniela Alhani, Naela Vosko, Milan Rastislav Value of ultrasound fusion imaging in detecting vascular cerebral white matter pathology |
title | Value of ultrasound fusion imaging in detecting vascular cerebral white matter pathology |
title_full | Value of ultrasound fusion imaging in detecting vascular cerebral white matter pathology |
title_fullStr | Value of ultrasound fusion imaging in detecting vascular cerebral white matter pathology |
title_full_unstemmed | Value of ultrasound fusion imaging in detecting vascular cerebral white matter pathology |
title_short | Value of ultrasound fusion imaging in detecting vascular cerebral white matter pathology |
title_sort | value of ultrasound fusion imaging in detecting vascular cerebral white matter pathology |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206046/ https://www.ncbi.nlm.nih.gov/pubmed/35713746 http://dx.doi.org/10.1186/s13089-022-00275-5 |
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