Abilities of a Densitometric Analysis of Computed Tomography Images and Hemorrhagic Parameters to Predict Outcome Favorability in Patients With Intracerebral Hemorrhage
- Authors
- Kim, Hakseung; Yang, Xiaoke; Choi, Young Hun; Yoon, Byung C.; Kim, Keewon; Kim, Dong-Joo
- Issue Date
- Aug-2018
- Publisher
- OXFORD UNIV PRESS INC
- Keywords
- Computed tomography; Critical care; Intracerebral hemorrhage
- Citation
- NEUROSURGERY, v.83, no.2, pp 226 - 236
- Pages
- 11
- Indexed
- SCI
SCIE
SCOPUS
- Journal Title
- NEUROSURGERY
- Volume
- 83
- Number
- 2
- Start Page
- 226
- End Page
- 236
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/74253
- DOI
- 10.1093/neuros/nyx379
- ISSN
- 0148-396X
1524-4040
- Abstract
- BACKGROUND: Intracerebral hemorrhage (ICH) is one of the most devastating subtypes of stroke. A rapid assessment of ICH severity involves the use of computed tomography (CT) and derivation of the hemorrhage volume, which is often estimated using the ABC/2 method. However, these estimates are highly inaccurate and may not be feasible for anticipating outcome favorability. OBJECTIVE: To predict patient outcomes via a quantitative, densitometric analysis of CT images, and to compare the predictive power of these densitometric parameters with the conventional ABC/2 volumetric parameter and segmented hemorrhage volumes. METHODS: Noncontrast CT images of 87 adult patients with ICH (favorable outcomes = 69, unfavorable outcomes = 12, and deceased = 6) were analyzed. In-house software was used to calculate the segmented hemorrhage volumes, ABC/2 and densitometric parameters, including the skewness and kurtosis of the density distribution, interquartile ranges, and proportions of specific pixels in sets of CT images. Nonparametric statistical analyses were conducted. RESULTS: The densitometric parameter interquartile range exhibited greatest accuracy (82.7%) in predicting favorable outcomes. The combination of skewness and the interquartile range effectively predicted mortality (accuracy = 83.3%). The actual volume of the ICH exhibited good coherence with ABC/2 (R = 0.79). Both parameters predicted mortality with moderate accuracy (<78%) but were less effective in predicting unfavorable outcomes. CONCLUSION: Hemorrhage volume was rapidly estimated and effectively predicted mortality in patients with ICH; however, this value may not be useful for predicting favorable outcomes. The densitometric analysis exhibited significantly higher power in predicting mortality and favorable outcomes in patients with ICH.
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- Appears in
Collections - Graduate School > Department of Brain and Cognitive Engineering > 1. Journal Articles
- College of Informatics > ETC > 1. Journal Articles

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