Abstract
Haemorrhagic Stroke is a common disease in Indonesia. The best imaging modality for this disease is Multi Slice Computed Tomography Scanning (MSCT), as it may help strengthening the diagnosis as well as determining the brain bleeding volume. This study aimed to show correlation between bleeding volume of the brain and patient’s age using cross-sectional approach. The 68 samples in this study were taken from secondary data from Head CT Scan of Haemorrhagic Stroke cases. Brain bleeding volume is the dependent variable, obtained through slice thickness of 5 mm and ABC/2 method with software measurement in MSCT Scan device. The independent variable of this study is the patient’s age. The result of the study was the average brain’s bleeding volume of 21.76 ml ± 2.48 ml (range of 1.04 ml to 94.73 ml). The slice thickness using ABC/2 method, has a significant correlation with brain’s bleeding volume in MSCT Scan examination, with correlation coefficient value r of 0.79. Brain bleeding volume in patients who have ages lower than 50 years and more or equal to 50 years were (18.93 ± 3.26) ml and (23.53 ± 3.47) ml respectively. There is no correlation between age and brain’s bleeding volume in haemorrhagic stroke cases, with p value of 0.18, r = 0.19.
Highlights
Stroke is the second leading cause of death worldwide, and one of the leading causes of disability (O’Donnell & Yusuf, 2009; Ikram et al, 2012; Lozano et al, 2012)
The calculation result of brain bleeding volume was obtained from slice thickness of selected patient which appear on the monitor screen
The study result suggested that the dominant factor determining the size of brain bleeding volume on haemorrhagic stroke cases is the number of slices, with determinant factors of 62 %
Summary
Stroke is the second leading cause of death worldwide, and one of the leading causes of disability (O’Donnell & Yusuf, 2009; Ikram et al, 2012; Lozano et al, 2012). The prevalence in developing countries varies (WHO, 2004). Stroke is a leading cause of death and disability affecting about 16 million first-ever strokes occur in the world, causing a total of 5.7 million deaths every year (Strong et al, 2007). The overall prevalence is 750 per 100,000 (Davis, 2001). Prediction without intervention, the number of deaths from stroke will rise to 6.3 million in 2015 and 7.8 million by 2030 with largely in poor countries (Strong et al, 2007; Pandian et al, 2007)
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