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• W2891818210 abstract "Shape and density of intracerebral hemorrhage (ICH) are associated with a higher risk of poor treatment outcome. However, methods of assessment for the features are still inconclusive. Therefore, we decided to measure ICH shape irregularity using shape factors to achieve objective results. We retrospectively analyzed 48 patients with spontaneous ICH confirmed by head computed tomography (CT) scan. We obtained detailed medical history and blood test results from medical records. On admission patients were assessed using Glasgow Coma Scale score, and on discharge patients were assessed using Glasgow Outcome Scale (GOS) score. GOS score of less than 3 was defined as poor outcome. For each slice of CT scan with visible ICH, we extracted its contour and calculated the fractal dimension (FD), compactness (C), and Fourier factor (FF). We also calculated the circle factor (CF), which was defined as the contour perimeter/perimeter of the biggest circle that can be inscribed into the contour, and density heterogeneity, defined as the variance of pixel density. A total of 28 patients (58.33%) had poor treatment outcome. Those patients had significantly higher C (0.71 ± 0.09 vs. 0.59 ± 0.09; P < 0.01), FD (1.42 ± 0.12 vs. 1.27 ± 0.09; P < 0.01), and CF (3.59 ± 0.92 vs. 2.63 ± 0.63; P < 0.01). In multivariate logistic regression analysis, FD (odds ratio, 4.176; 95% confidence interval, 1.551–15.577; P = 0.012) remained independently associated with higher risk of poor treatment outcome. Each of the shape descriptors, except FF, was associated with treatment outcome after ICH. FD can be used as an independent predictor of outcome." @default.
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• W2891818210 date "2018-12-01" @default.
• W2891818210 modified "2023-10-18" @default.
• W2891818210 title "Computer-Assisted Analysis of Intracerebral Hemorrhage Shape and Density" @default.
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• W2891818210 doi "https://doi.org/10.1016/j.wneu.2018.08.178" @default.
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