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Predicting the progression of chronic subdural hematoma based on skull density
OBJECTIVE: The objective of this study was to investigate potential correlations between skull density and the progression of chronic subdural hematoma (CSDH). METHODS: Patients with unilateral CSDH were retrospectively enrolled between January 2018 and December 2022. Demographic and clinical charac...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10623350/ https://www.ncbi.nlm.nih.gov/pubmed/37928152 http://dx.doi.org/10.3389/fneur.2023.1279292 |
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author | Yang, Weijian Chen, Qifang Yao, Haijun Zhang, Jun Zhang, Quan Fang, Jiang Wu, Gang Hu, Jin |
author_facet | Yang, Weijian Chen, Qifang Yao, Haijun Zhang, Jun Zhang, Quan Fang, Jiang Wu, Gang Hu, Jin |
author_sort | Yang, Weijian |
collection | PubMed |
description | OBJECTIVE: The objective of this study was to investigate potential correlations between skull density and the progression of chronic subdural hematoma (CSDH). METHODS: Patients with unilateral CSDH were retrospectively enrolled between January 2018 and December 2022. Demographic and clinical characteristics, as well as hematoma and skull density (Hounsfield unit, Hu), were collected and analyzed. RESULTS: The study enrolled 830 patients with unilateral CSDH until the resolution of the CDSH or progressed with surgical treatment. Of the total, 488 patients (58.80%) necessitated surgical treatment. The study identified a significant correlation between the progression of CSDH and three variables: minimum skull density (MiSD), maximum skull density (MaSD), and skull density difference (SDD) (p < 0.001). Additionally, in the multivariable regression analysis, MiSD, MaSD, and SDD were independent predictors of CSDH progression. The MiSD + SDD model exhibited an accuracy of 0.88, as determined by the area under the receiver operating characteristic curve, with a sensitivity of 0.77 and specificity of 0.88. The model’s accuracy was validated through additional analysis. CONCLUSION: The findings suggest a significant correlation between skull density and the CSDH progression. |
format | Online Article Text |
id | pubmed-10623350 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106233502023-11-04 Predicting the progression of chronic subdural hematoma based on skull density Yang, Weijian Chen, Qifang Yao, Haijun Zhang, Jun Zhang, Quan Fang, Jiang Wu, Gang Hu, Jin Front Neurol Neurology OBJECTIVE: The objective of this study was to investigate potential correlations between skull density and the progression of chronic subdural hematoma (CSDH). METHODS: Patients with unilateral CSDH were retrospectively enrolled between January 2018 and December 2022. Demographic and clinical characteristics, as well as hematoma and skull density (Hounsfield unit, Hu), were collected and analyzed. RESULTS: The study enrolled 830 patients with unilateral CSDH until the resolution of the CDSH or progressed with surgical treatment. Of the total, 488 patients (58.80%) necessitated surgical treatment. The study identified a significant correlation between the progression of CSDH and three variables: minimum skull density (MiSD), maximum skull density (MaSD), and skull density difference (SDD) (p < 0.001). Additionally, in the multivariable regression analysis, MiSD, MaSD, and SDD were independent predictors of CSDH progression. The MiSD + SDD model exhibited an accuracy of 0.88, as determined by the area under the receiver operating characteristic curve, with a sensitivity of 0.77 and specificity of 0.88. The model’s accuracy was validated through additional analysis. CONCLUSION: The findings suggest a significant correlation between skull density and the CSDH progression. Frontiers Media S.A. 2023-10-20 /pmc/articles/PMC10623350/ /pubmed/37928152 http://dx.doi.org/10.3389/fneur.2023.1279292 Text en Copyright © 2023 Yang, Chen, Yao, Zhang, Zhang, Fang, Wu and Hu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Yang, Weijian Chen, Qifang Yao, Haijun Zhang, Jun Zhang, Quan Fang, Jiang Wu, Gang Hu, Jin Predicting the progression of chronic subdural hematoma based on skull density |
title | Predicting the progression of chronic subdural hematoma based on skull density |
title_full | Predicting the progression of chronic subdural hematoma based on skull density |
title_fullStr | Predicting the progression of chronic subdural hematoma based on skull density |
title_full_unstemmed | Predicting the progression of chronic subdural hematoma based on skull density |
title_short | Predicting the progression of chronic subdural hematoma based on skull density |
title_sort | predicting the progression of chronic subdural hematoma based on skull density |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10623350/ https://www.ncbi.nlm.nih.gov/pubmed/37928152 http://dx.doi.org/10.3389/fneur.2023.1279292 |
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