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Quantitative analysis of computed tomography images and early detection of cerebral edema for pediatric traumatic brain injury patients: retrospective study
- 作者：Hakseung Kim (1)
Gwang-dong Kim (2)
Byung C Yoon (3)
Keewon Kim (2)
Byung-Jo Kim (4)
Young Hun Choi (5)
Marek Czosnyka (6)
Byung-Mo Oh (2)
Dong-Joo Kim (1) (6)
1. Department of Brain and Cognitive Engineering ; Korea University ; Anam-dong ; Seongbuk-gu ; Seoul ; 136-713 ; South Korea
2. Department of Rehabilitation Medicine ; Seoul National University College of Medicine ; Seoul ; South Korea
3. Department of Neurosurgery ; Stanford University School of Medicine ; Stanford ; California ; USA
4. Department of Neurology ; Korea University College of Medicine ; Seoul ; South Korea
5. Department of Radiology ; Seoul National University Children鈥檚 Hospital ; Seoul ; South Korea
6. Academic Neurosurgical Unit ; University of Cambridge Clinical School ; Cambridge ; UK
- 关键词：Cerebral edema ; Computed tomography ; Densitometry ; Traumatic brain injury ; Pediatrics
- 刊名：BMC Medicine
- 出版年：2014
- 出版时间：December 2014
- 年：2014
- 卷：12
- 期：1
- 全文大小：1,247 KB
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- 刊物主题：Medicine/Public Health, general; Biomedicine general;
- 出版者：BioMed Central
- ISSN：1741-7015
文摘
Background The purpose of this study was to identify whether the distribution of Hounsfield Unit (HU) values across the intracranial area in computed tomography (CT) images can be used as an effective diagnostic tool for determining the severity of cerebral edema in pediatric traumatic brain injury (TBI) patients. Methods CT images, medical records and radiology reports on 70 pediatric patients were collected. Based on radiology reports and the Marshall classification, the patients were grouped as mild edema patients (n = 37) or severe edema patients (n = 33). Automated quantitative analysis using unenhanced CT images was applied to eliminate artifacts and identify the difference in HU value distribution across the intracranial area between these groups. Results The proportion of pixels with HU =17 to 24 was highly correlated with the existence of severe cerebral edema (P P Conclusions The proportion of pixels with an HU value of 17 to 24 in the entire cerebral area of a non-enhanced CT image can be an effective basis for evaluating the severity of cerebral edema. Based on this result, we propose a novel approach for the early detection of severe cerebral edema.
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