Detection of Midline Shift from CT Scans to Predict Outcome in Patients with Head Injuries

Author:

Abdelaziz Ikhlas,Aljondi Rowa,Alhailiy Ali,Mahmoud Mustafa

Abstract

Background: The present study aimed to detect the degree of midline shift from CT scans and the clinical status of the patient, to evaluate the relationship between the degree of midline shift found by the CT scan and GCS score as a predictor of clinical outcome in head injury patients. Furthermore, we aimed to assess the relationship between midline shift and age, sex, and causes. Methods and Results: The study included 50 subjects (36 males and 14 females). The age range of the patients in this study was 18–95 years old (mean age of 48.34±17.02 years). The inclusion criteria were patients with traumatic brain injury (TBI) or patients evaluated for level of consciousness by a neurosurgeon. Toshiba 16 Slice CT scanner (Toshiba Medical Systems, Nasu, Japan 2003) was used to scan all patients in the supine, head first position. Contiguous 2 mm slices were obtained using the Toshiba 16-slice machine spiral technique (pitch 1.25–1.5, 0.75 s rotation time, 120 KvP, 2 mm reconstruction interval). The results indicated that the degree of midline shift in patients with brain injuries was statistically significant as a determinant of clinical outcome. It appeared that the probability of poor clinical outcome was higher when there was a combination of midline shift and other types of intracranial hemorrhage, clinical factors, such as sex, age, and GCS score, and associated injuries. The worst outcome was seen in patients with midline shift and subdural hematoma, when compared with other lesions in patients with brain injuries. Conclusion: This study suggests that the degree of midline shift may be predictive of clinical outcome in patients with head injuries.

Publisher

International Medical Research and Development Corporation

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Neuroscience

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3