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Prof. Dong-Joo Kim's paper accepted in Neurosurgery
Author Administrator (IP: *.152.74.116) Date 2017-06-20 11:09 Views 473
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Prof. Dong-Joo Kim's new research, Abilities of a Densitometric Analysis of Computed Tomography Images and Hemorrhagic Parameters to Predict Outcome Favorability in Patients with Intracerebral Hemorrhagewas accepted in Neurosurgery.

 

Title: Abilities of a Densitometric Analysis of Computed Tomography Images and Hemorrhagic Parameters to Predict Outcome Favorability in Patients with Intracerebral Hemorrhage

 

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: This study sought 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: Non-contrast 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. Non-parametric 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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Research
Prof. Dong-Joo Kim's paper accepted in Neurosurgery
Prof. Dong-Joo Kim's paper accepted in Neurosurgery
Prof. Dong-Joo Kim's new research, Abilities of a Densitometric Analysis of Computed Tomography Images and Hemorrhagic Parameters to Predict Outcome Favorability in Patients with Intracerebral Hemorrhagewas accepted in Neurosurgery. Title: Abilities of a Densitometric Analysis of Computed Tomography Images and Hemorrhagic Parameters to Predict Outcome Favorability in Patients with Intracerebral Hemorrhage Abstract: - Background: In…

2017-06-20

Prof. Byoung-Kyong Min's paper accepted in IEEE Transactions on Information Forensics and Security
Prof. Byoung-Kyong Min's paper accepted in IEEE Transactions on Information Fore…
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2017-05-04

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2017-03-15

Prof. Seong-Whan Lee's paper accepted in IEEE Trans. on Pattern Analysis and Machine Intelligence
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2017-02-14

Prof.Jae-Ho Han’s paper accepted in IEEE/ASME Transactions on Mechatronics
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2017-01-17

Prof.Heung-II Suk’s paper accepted in Medical Image Analysis
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Prof.Byoung-Kyong Min’s paper accepted in Scientific Reports
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Prof.Byoung-Kyong Min’s paper accepted in Hearing Research
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2016-10-07

Prof. Christian Wallraven’s paper accepted in Human Brain Mapping
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2016-09-26

Prof. Christian Wallraven`s paper accepted in Psychonomic Bulletin & Review
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2016-09-22

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