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76352 Investigating the Association Between Intracerebral Hemorrhage (ICH) and Long-Term Encephalomalacia and Cortical Atrophy

ABSTRACT IMPACT: Investigating the relationship between ICH volume at presentation and cortical atrophy over time may help to explain the phenomenon of cognitive impairment after ICH. OBJECTIVES/GOALS: Non-traumatic intracerebral hemorrhage (ICH) is the most common type of hemorrhagic stroke. ICH ca...

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Autores principales: Adapa, Arjun, Khalsa, Siri Sahib, Linzey, Joseph, Pandey, Aditya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8827883/
http://dx.doi.org/10.1017/cts.2021.637
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author Adapa, Arjun
Khalsa, Siri Sahib
Linzey, Joseph
Pandey, Aditya
author_facet Adapa, Arjun
Khalsa, Siri Sahib
Linzey, Joseph
Pandey, Aditya
author_sort Adapa, Arjun
collection PubMed
description ABSTRACT IMPACT: Investigating the relationship between ICH volume at presentation and cortical atrophy over time may help to explain the phenomenon of cognitive impairment after ICH. OBJECTIVES/GOALS: Non-traumatic intracerebral hemorrhage (ICH) is the most common type of hemorrhagic stroke. ICH causes both mechanical as well as oxidative injury leading to neurologic deterioration. However, the relationship between ICH volume and brain atrophy is not fully understood. To that end, we aimed to investigate this relationship. METHODS/STUDY POPULATION: A retrospective cohort of adult ICH patients over a 10-year study period were studied. Demographic data, ICH cause, location, laterality, and treatment, as well as other data, were collected. DICOM files of CT or MRI at presentation and all subsequent follow-up imaging up to 5-years post-ICH were obtained. Using a novel semi-automated image segmentation tool developed in MATLAB by our group, ICH volumes were segmented. Using T1w MRI data, ipsi- and contralateral brain volumes were segmented using NeuroQuant, a fully automated software for MRI volumetric processing, for both initial and follow-up MRIs. Ipsilateral and global cerebral volume changes over time were calculated using initial and follow-up MRI images. Spearman rank correlation between volume changes and ICH volumes were calculated for each patient. RESULTS/ANTICIPATED RESULTS: 75 spontaneous ICH patients with adequate imaging follow-up and both early and follow-up MRI comparisons were considered. Of these, 14 patients had MRIs adequate for segmentation by NeuroQuant. There was a positive correlation (R^2 = 0.72, p=0.03) between ABC/2, the traditional ICH volume measuring approach, and our semi-automatic segmentation tool, with ABC/2 tending to overestimate ICH volume. There was an average of -6.51% of total brain volume loss with respect to initial brain volume at follow-up. There was a negative correlation between ICH volume and both global (Spearman rank correlation coefficient (R)=-0.714, p=0.004)) and local atrophy (R=-0.785, p=0.0009), meaning that as ICH volume increases, there is greater brain volume loss. DISCUSSION/SIGNIFICANCE OF FINDINGS: Greater ICH volume is associated with greater brain volume loss both ipsilaterally, reflected as encephalomalacia, and globally. These findings are important as encephalomalacia can result in focal neurologic deficit and other neurological symptoms over time, while global brain atrophy is associated with dementia and cognitive decline.
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spelling pubmed-88278832022-03-04 76352 Investigating the Association Between Intracerebral Hemorrhage (ICH) and Long-Term Encephalomalacia and Cortical Atrophy Adapa, Arjun Khalsa, Siri Sahib Linzey, Joseph Pandey, Aditya J Clin Transl Sci Mechanistic Basic to Clinical ABSTRACT IMPACT: Investigating the relationship between ICH volume at presentation and cortical atrophy over time may help to explain the phenomenon of cognitive impairment after ICH. OBJECTIVES/GOALS: Non-traumatic intracerebral hemorrhage (ICH) is the most common type of hemorrhagic stroke. ICH causes both mechanical as well as oxidative injury leading to neurologic deterioration. However, the relationship between ICH volume and brain atrophy is not fully understood. To that end, we aimed to investigate this relationship. METHODS/STUDY POPULATION: A retrospective cohort of adult ICH patients over a 10-year study period were studied. Demographic data, ICH cause, location, laterality, and treatment, as well as other data, were collected. DICOM files of CT or MRI at presentation and all subsequent follow-up imaging up to 5-years post-ICH were obtained. Using a novel semi-automated image segmentation tool developed in MATLAB by our group, ICH volumes were segmented. Using T1w MRI data, ipsi- and contralateral brain volumes were segmented using NeuroQuant, a fully automated software for MRI volumetric processing, for both initial and follow-up MRIs. Ipsilateral and global cerebral volume changes over time were calculated using initial and follow-up MRI images. Spearman rank correlation between volume changes and ICH volumes were calculated for each patient. RESULTS/ANTICIPATED RESULTS: 75 spontaneous ICH patients with adequate imaging follow-up and both early and follow-up MRI comparisons were considered. Of these, 14 patients had MRIs adequate for segmentation by NeuroQuant. There was a positive correlation (R^2 = 0.72, p=0.03) between ABC/2, the traditional ICH volume measuring approach, and our semi-automatic segmentation tool, with ABC/2 tending to overestimate ICH volume. There was an average of -6.51% of total brain volume loss with respect to initial brain volume at follow-up. There was a negative correlation between ICH volume and both global (Spearman rank correlation coefficient (R)=-0.714, p=0.004)) and local atrophy (R=-0.785, p=0.0009), meaning that as ICH volume increases, there is greater brain volume loss. DISCUSSION/SIGNIFICANCE OF FINDINGS: Greater ICH volume is associated with greater brain volume loss both ipsilaterally, reflected as encephalomalacia, and globally. These findings are important as encephalomalacia can result in focal neurologic deficit and other neurological symptoms over time, while global brain atrophy is associated with dementia and cognitive decline. Cambridge University Press 2021-03-31 /pmc/articles/PMC8827883/ http://dx.doi.org/10.1017/cts.2021.637 Text en © The Association for Clinical and Translational Science 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Mechanistic Basic to Clinical
Adapa, Arjun
Khalsa, Siri Sahib
Linzey, Joseph
Pandey, Aditya
76352 Investigating the Association Between Intracerebral Hemorrhage (ICH) and Long-Term Encephalomalacia and Cortical Atrophy
title 76352 Investigating the Association Between Intracerebral Hemorrhage (ICH) and Long-Term Encephalomalacia and Cortical Atrophy
title_full 76352 Investigating the Association Between Intracerebral Hemorrhage (ICH) and Long-Term Encephalomalacia and Cortical Atrophy
title_fullStr 76352 Investigating the Association Between Intracerebral Hemorrhage (ICH) and Long-Term Encephalomalacia and Cortical Atrophy
title_full_unstemmed 76352 Investigating the Association Between Intracerebral Hemorrhage (ICH) and Long-Term Encephalomalacia and Cortical Atrophy
title_short 76352 Investigating the Association Between Intracerebral Hemorrhage (ICH) and Long-Term Encephalomalacia and Cortical Atrophy
title_sort 76352 investigating the association between intracerebral hemorrhage (ich) and long-term encephalomalacia and cortical atrophy
topic Mechanistic Basic to Clinical
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8827883/
http://dx.doi.org/10.1017/cts.2021.637
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