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Comparision between Brain Atrophy and Subdural Volume to Predict Chronic Subdural Hematoma: Volumetric CT Imaging Analysis

OBJECTIVE: Brain atrophy and subdural hygroma were well known factors that enlarge the subdural space, which induced formation of chronic subdural hematoma (CSDH). Thus, we identified the subdural volume that could be used to predict the rate of future CSDH after head trauma using a computed tomogra...

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Autores principales: Ju, Min-Wook, Kim, Seon-Hwan, Kwon, Hyon-Jo, Choi, Seung-Won, Koh, Hyeon-Song, Youm, Jin-Young, Song, Shi-Hun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Neurotraumatology Society 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4847510/
https://www.ncbi.nlm.nih.gov/pubmed/27169071
http://dx.doi.org/10.13004/kjnt.2015.11.2.87
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author Ju, Min-Wook
Kim, Seon-Hwan
Kwon, Hyon-Jo
Choi, Seung-Won
Koh, Hyeon-Song
Youm, Jin-Young
Song, Shi-Hun
author_facet Ju, Min-Wook
Kim, Seon-Hwan
Kwon, Hyon-Jo
Choi, Seung-Won
Koh, Hyeon-Song
Youm, Jin-Young
Song, Shi-Hun
author_sort Ju, Min-Wook
collection PubMed
description OBJECTIVE: Brain atrophy and subdural hygroma were well known factors that enlarge the subdural space, which induced formation of chronic subdural hematoma (CSDH). Thus, we identified the subdural volume that could be used to predict the rate of future CSDH after head trauma using a computed tomography (CT) volumetric analysis. METHODS: A single institution case-control study was conducted involving 1,186 patients who visited our hospital after head trauma from January 1, 2010 to December 31, 2014. Fifty-one patients with delayed CSDH were identified, and 50 patients with age and sex matched for control. Intracranial volume (ICV), the brain parenchyme, and the subdural space were segmented using CT image-based software. To adjust for variations in head size, volume ratios were assessed as a percentage of ICV [brain volume index (BVI), subdural volume index (SVI)]. The maximum depth of the subdural space on both sides was used to estimate the SVI. RESULTS: Before adjusting for cranium size, brain volume tended to be smaller, and subdural space volume was significantly larger in the CSDH group (p=0.138, p=0.021, respectively). The BVI and SVI were significantly different (p=0.003, p=0.001, respectively). SVI [area under the curve (AUC), 77.3%; p=0.008] was a more reliable technique for predicting CSDH than BVI (AUC, 68.1%; p=0.001). Bilateral subdural depth (sum of subdural depth on both sides) increased linearly with SVI (p<0.0001). CONCLUSION: Subdural space volume was significantly larger in CSDH groups. SVI was a more reliable technique for predicting CSDH. Bilateral subdural depth was useful to measure SVI.
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spelling pubmed-48475102016-05-10 Comparision between Brain Atrophy and Subdural Volume to Predict Chronic Subdural Hematoma: Volumetric CT Imaging Analysis Ju, Min-Wook Kim, Seon-Hwan Kwon, Hyon-Jo Choi, Seung-Won Koh, Hyeon-Song Youm, Jin-Young Song, Shi-Hun Korean J Neurotrauma Clinical Article OBJECTIVE: Brain atrophy and subdural hygroma were well known factors that enlarge the subdural space, which induced formation of chronic subdural hematoma (CSDH). Thus, we identified the subdural volume that could be used to predict the rate of future CSDH after head trauma using a computed tomography (CT) volumetric analysis. METHODS: A single institution case-control study was conducted involving 1,186 patients who visited our hospital after head trauma from January 1, 2010 to December 31, 2014. Fifty-one patients with delayed CSDH were identified, and 50 patients with age and sex matched for control. Intracranial volume (ICV), the brain parenchyme, and the subdural space were segmented using CT image-based software. To adjust for variations in head size, volume ratios were assessed as a percentage of ICV [brain volume index (BVI), subdural volume index (SVI)]. The maximum depth of the subdural space on both sides was used to estimate the SVI. RESULTS: Before adjusting for cranium size, brain volume tended to be smaller, and subdural space volume was significantly larger in the CSDH group (p=0.138, p=0.021, respectively). The BVI and SVI were significantly different (p=0.003, p=0.001, respectively). SVI [area under the curve (AUC), 77.3%; p=0.008] was a more reliable technique for predicting CSDH than BVI (AUC, 68.1%; p=0.001). Bilateral subdural depth (sum of subdural depth on both sides) increased linearly with SVI (p<0.0001). CONCLUSION: Subdural space volume was significantly larger in CSDH groups. SVI was a more reliable technique for predicting CSDH. Bilateral subdural depth was useful to measure SVI. Korean Neurotraumatology Society 2015-10 2015-10-31 /pmc/articles/PMC4847510/ /pubmed/27169071 http://dx.doi.org/10.13004/kjnt.2015.11.2.87 Text en Copyright © 2015 Korean Neurotraumatology Society http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Article
Ju, Min-Wook
Kim, Seon-Hwan
Kwon, Hyon-Jo
Choi, Seung-Won
Koh, Hyeon-Song
Youm, Jin-Young
Song, Shi-Hun
Comparision between Brain Atrophy and Subdural Volume to Predict Chronic Subdural Hematoma: Volumetric CT Imaging Analysis
title Comparision between Brain Atrophy and Subdural Volume to Predict Chronic Subdural Hematoma: Volumetric CT Imaging Analysis
title_full Comparision between Brain Atrophy and Subdural Volume to Predict Chronic Subdural Hematoma: Volumetric CT Imaging Analysis
title_fullStr Comparision between Brain Atrophy and Subdural Volume to Predict Chronic Subdural Hematoma: Volumetric CT Imaging Analysis
title_full_unstemmed Comparision between Brain Atrophy and Subdural Volume to Predict Chronic Subdural Hematoma: Volumetric CT Imaging Analysis
title_short Comparision between Brain Atrophy and Subdural Volume to Predict Chronic Subdural Hematoma: Volumetric CT Imaging Analysis
title_sort comparision between brain atrophy and subdural volume to predict chronic subdural hematoma: volumetric ct imaging analysis
topic Clinical Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4847510/
https://www.ncbi.nlm.nih.gov/pubmed/27169071
http://dx.doi.org/10.13004/kjnt.2015.11.2.87
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