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Non-contrast computed tomography features predict intraventricular hemorrhage growth
OBJECTIVES: Non-contrast computed tomography (NCCT) markers are robust predictors of parenchymal hematoma expansion in intracerebral hemorrhage (ICH). We investigated whether NCCT features can also identify ICH patients at risk of intraventricular hemorrhage (IVH) growth. METHODS: Patients with acut...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598100/ https://www.ncbi.nlm.nih.gov/pubmed/37212845 http://dx.doi.org/10.1007/s00330-023-09707-9 |
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author | Nawabi, Jawed Schlunk, Frieder Dell’Orco, Andrea Elsayed, Sarah Mazzacane, Federico Desser, Dmitriy Vu, Ly Vogt, Estelle Cao, Haoyin Böhmer, Maik F. H. Akkurt, Burak Han Sporns, Peter B. Pasi, Marco Jensen-Kondering, Ulf Broocks, Gabriel Penzkofer, Tobias Fiehler, Jens Padovani, Alessandro Hanning, Uta Morotti, Andrea |
author_facet | Nawabi, Jawed Schlunk, Frieder Dell’Orco, Andrea Elsayed, Sarah Mazzacane, Federico Desser, Dmitriy Vu, Ly Vogt, Estelle Cao, Haoyin Böhmer, Maik F. H. Akkurt, Burak Han Sporns, Peter B. Pasi, Marco Jensen-Kondering, Ulf Broocks, Gabriel Penzkofer, Tobias Fiehler, Jens Padovani, Alessandro Hanning, Uta Morotti, Andrea |
author_sort | Nawabi, Jawed |
collection | PubMed |
description | OBJECTIVES: Non-contrast computed tomography (NCCT) markers are robust predictors of parenchymal hematoma expansion in intracerebral hemorrhage (ICH). We investigated whether NCCT features can also identify ICH patients at risk of intraventricular hemorrhage (IVH) growth. METHODS: Patients with acute spontaneous ICH admitted at four tertiary centers in Germany and Italy were retrospectively included from January 2017 to June 2020. NCCT markers were rated by two investigators for heterogeneous density, hypodensity, black hole sign, swirl sign, blend sign, fluid level, island sign, satellite sign, and irregular shape. ICH and IVH volumes were semi-manually segmented. IVH growth was defined as IVH expansion > 1 mL (eIVH) or any delayed IVH (dIVH) on follow-up imaging. Predictors of eIVH and dIVH were explored with multivariable logistic regression. Hypothesized moderators and mediators were independently assessed in PROCESS macro models. RESULTS: A total of 731 patients were included, of whom 185 (25.31%) suffered from IVH growth, 130 (17.78%) had eIVH, and 55 (7.52%) had dIVH. Irregular shape was significantly associated with IVH growth (OR 1.68; 95%CI [1.16–2.44]; p = 0.006). In the subgroup analysis stratified by the IVH growth type, hypodensities were significantly associated with eIVH (OR 2.06; 95%CI [1.48–2.64]; p = 0.015), whereas irregular shape (OR 2.72; 95%CI [1.91–3.53]; p = 0.016) in dIVH. The association between NCCT markers and IVH growth was not mediated by parenchymal hematoma expansion. CONCLUSIONS: NCCT features identified ICH patients at a high risk of IVH growth. Our findings suggest the possibility to stratify the risk of IVH growth with baseline NCCT and might inform ongoing and future studies. CLINICAL RELEVANCE STATEMENT: Non-contrast CT features identified ICH patients at a high risk of intraventricular hemorrhage growth with subtype-specific differences. Our findings may assist in the risk stratification of intraventricular hemorrhage growth with baseline CT and might inform ongoing and future clinical studies. KEY POINTS: • NCCT features identified ICH patients at a high risk of IVH growth with subtype-specific differences. • The effect of NCCT features was not moderated by time and location or indirectly mediated by hematoma expansion. • Our findings may assist in the risk stratification of IVH growth with baseline NCCT and might inform ongoing and future studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-023-09707-9. |
format | Online Article Text |
id | pubmed-10598100 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-105981002023-10-26 Non-contrast computed tomography features predict intraventricular hemorrhage growth Nawabi, Jawed Schlunk, Frieder Dell’Orco, Andrea Elsayed, Sarah Mazzacane, Federico Desser, Dmitriy Vu, Ly Vogt, Estelle Cao, Haoyin Böhmer, Maik F. H. Akkurt, Burak Han Sporns, Peter B. Pasi, Marco Jensen-Kondering, Ulf Broocks, Gabriel Penzkofer, Tobias Fiehler, Jens Padovani, Alessandro Hanning, Uta Morotti, Andrea Eur Radiol Computed Tomography OBJECTIVES: Non-contrast computed tomography (NCCT) markers are robust predictors of parenchymal hematoma expansion in intracerebral hemorrhage (ICH). We investigated whether NCCT features can also identify ICH patients at risk of intraventricular hemorrhage (IVH) growth. METHODS: Patients with acute spontaneous ICH admitted at four tertiary centers in Germany and Italy were retrospectively included from January 2017 to June 2020. NCCT markers were rated by two investigators for heterogeneous density, hypodensity, black hole sign, swirl sign, blend sign, fluid level, island sign, satellite sign, and irregular shape. ICH and IVH volumes were semi-manually segmented. IVH growth was defined as IVH expansion > 1 mL (eIVH) or any delayed IVH (dIVH) on follow-up imaging. Predictors of eIVH and dIVH were explored with multivariable logistic regression. Hypothesized moderators and mediators were independently assessed in PROCESS macro models. RESULTS: A total of 731 patients were included, of whom 185 (25.31%) suffered from IVH growth, 130 (17.78%) had eIVH, and 55 (7.52%) had dIVH. Irregular shape was significantly associated with IVH growth (OR 1.68; 95%CI [1.16–2.44]; p = 0.006). In the subgroup analysis stratified by the IVH growth type, hypodensities were significantly associated with eIVH (OR 2.06; 95%CI [1.48–2.64]; p = 0.015), whereas irregular shape (OR 2.72; 95%CI [1.91–3.53]; p = 0.016) in dIVH. The association between NCCT markers and IVH growth was not mediated by parenchymal hematoma expansion. CONCLUSIONS: NCCT features identified ICH patients at a high risk of IVH growth. Our findings suggest the possibility to stratify the risk of IVH growth with baseline NCCT and might inform ongoing and future studies. CLINICAL RELEVANCE STATEMENT: Non-contrast CT features identified ICH patients at a high risk of intraventricular hemorrhage growth with subtype-specific differences. Our findings may assist in the risk stratification of intraventricular hemorrhage growth with baseline CT and might inform ongoing and future clinical studies. KEY POINTS: • NCCT features identified ICH patients at a high risk of IVH growth with subtype-specific differences. • The effect of NCCT features was not moderated by time and location or indirectly mediated by hematoma expansion. • Our findings may assist in the risk stratification of IVH growth with baseline NCCT and might inform ongoing and future studies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00330-023-09707-9. Springer Berlin Heidelberg 2023-05-22 2023 /pmc/articles/PMC10598100/ /pubmed/37212845 http://dx.doi.org/10.1007/s00330-023-09707-9 Text en © The Author(s) 2023, corrected publication 2023 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 | Computed Tomography Nawabi, Jawed Schlunk, Frieder Dell’Orco, Andrea Elsayed, Sarah Mazzacane, Federico Desser, Dmitriy Vu, Ly Vogt, Estelle Cao, Haoyin Böhmer, Maik F. H. Akkurt, Burak Han Sporns, Peter B. Pasi, Marco Jensen-Kondering, Ulf Broocks, Gabriel Penzkofer, Tobias Fiehler, Jens Padovani, Alessandro Hanning, Uta Morotti, Andrea Non-contrast computed tomography features predict intraventricular hemorrhage growth |
title | Non-contrast computed tomography features predict intraventricular hemorrhage growth |
title_full | Non-contrast computed tomography features predict intraventricular hemorrhage growth |
title_fullStr | Non-contrast computed tomography features predict intraventricular hemorrhage growth |
title_full_unstemmed | Non-contrast computed tomography features predict intraventricular hemorrhage growth |
title_short | Non-contrast computed tomography features predict intraventricular hemorrhage growth |
title_sort | non-contrast computed tomography features predict intraventricular hemorrhage growth |
topic | Computed Tomography |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598100/ https://www.ncbi.nlm.nih.gov/pubmed/37212845 http://dx.doi.org/10.1007/s00330-023-09707-9 |
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