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Gray-Matter Volume Estimate Score: A Novel Semi-Automatic Method Measuring Early Ischemic Change on CT

Authors
 Dongbeom Song  ;  Kijeong Lee  ;  Eun Hye Kim  ;  Young Dae Kim  ;  Hye Sun Lee  ;  Jinkwon Kim  ;  Tae-Jin Song  ;  Sung Soo Ahn  ;  Hyo Suk Nam  ;  Ji Hoe Heo 
Citation
 Journal of Stroke, Vol.18(1) : 80-86, 2016 
Journal Title
 Journal of Stroke 
ISSN
 2287-6391 
Issue Date
2016
Keywords
ASPECTS ; Acute ischemic stroke ; Acute stroke imaging ; Computed tomography ; Prediction of outcome
Abstract
BACKGROUND AND PURPOSE: We developed a novel method named Gray-matter Volume Estimate Score (GRAVES), measuring early ischemic changes on Computed Tomography (CT) semi-automatically by computer software. This study aimed to compare GRAVES and Alberta Stroke Program Early CT Score (ASPECTS) with regards to outcome prediction and inter-rater agreement. METHODS: This was a retrospective cohort study. Among consecutive patients with ischemic stroke in the anterior circulation who received intra-arterial therapy (IAT), those with a readable pretreatment CT were included. Two stroke neurologists independently measured both the GRAVES and ASPECTS. GRAVES was defined as the percentage of estimated hypodense lesion in the gray matter of the ipsilateral hemisphere. Spearman correlation analysis, receiver operating characteristic (ROC) comparison test, and intra-class correlation coefficient (ICC) comparison tests were performed between GRAVES and ASPECTS. RESULTS: Ninety-four subjects (age: 68.7±10.3; male: 54 [54.9%]) were enrolled. The mean GRAVES was 9.0±8.9 and the median ASPECTS was 8 (interquartile range, 6-9). Correlation between ASPECTS and GRAVES was good (Spearman's rank correlation coefficient, 0.642; P<0.001). ROC comparison analysis showed that the predictive value of GRAVES for favorable outcome was not significantly different from that of ASPECTS (area under curve, 0.765 vs. 0.717; P=0.308). ICC comparison analysis revealed that inter-rater agreement of GRAVES was significantly better than that of ASPECTS (0.978 vs. 0.895; P<0.001). CONCLUSIONS: GRAVES had a good correlation with ASPECTS. GRAVES was as good as ASPECTS in predicting a favorable clinical outcome, but was better than ASPECTS regarding inter-rater agreement. GRAVES may be used to predict the outcome of IAT.
Files in This Item:
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DOI
10.5853/jos.2015.01298
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Neurology (신경과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Yonsei Biomedical Research Center (연세의생명연구원) > 1. Journal Papers
Yonsei Authors
김영대(Kim, Young Dae) ORCID logo https://orcid.org/0000-0001-5750-2616
김은혜(Kim, Eun Hye)
남효석(Nam, Hyo Suk) ORCID logo https://orcid.org/0000-0002-4415-3995
송동범(Song, Dong Beom)
안성수(Ahn, Sung Soo) ORCID logo https://orcid.org/0000-0002-0503-5558
이기정(Lee, Ki Jeong)
이혜선(Lee, Hye Sun) ORCID logo https://orcid.org/0000-0001-6328-6948
허지회(Heo, Ji Hoe) ORCID logo https://orcid.org/0000-0001-9898-3321
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URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/146444
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