1. Correlation analysis of CT parameters of brain tissue displacement degree and increased intracranial pressure in patients with closed traumatic brain injury
- Author
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ZHANG Cheng-wen and ZHANG Zhi-guo
- Subjects
brain injuries, traumatic ,tomography, spiral computed ,intracranial pressure ,roc curve ,Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Objective To investigate the relationship between the CT parameters of degree of brain tissue displacement and intracranial pressure (ICP) in patients with closed traumatic brain injury (TBI). Methods A total of 84 patients with closed TBI were chosen from January 2018 to March 2021 in The People's Hospital of Kaizhou District. Head CT examination was performed and CT values on both sides of the midline, the ratio of CT values on both sides of the midline and the midline shift distance were measured. Pearson and partial correlation analyses were used to investigate the correlation between head CT parameters and ICP in patients with closed TBI. Receiver operating characteristic (ROC) curve was used to evaluate the predictive efficacy of CT parameters in increased ICP. Results Correlation analysis showed that the ratio of CT values on both sides of the midline (r = 0.478, P = 0.000) and midline shift distance (r = 0.378, P = 0.000) were positively correlated with ICP. ROC curve showed that the ratio of CT values on both sides of the midline, the midline shift distance and the combined index prediction of ICP were 0.79 (95%CI: 0.687-0.889, P = 0.000), 0.89 (95%CI: 0.794-0.943, P = 0.000) and 0.91 (95%CI: 0.845-0.970, P = 0.000), the sensitivity and specificity were 80.95% and 73.81%, 69.05% and 90.48%, 80.95% and 85.71%, and the prediction efficiency of the combined index was better than the ratio of CT values on both sides of the midline (t = - 2.964, P = 0.003). Conclusions The CT parameters of brain tissue displacement degree in patients with unilateral closed TBI are closely related to the ICP, and the combination of the ratio of CT values on both sides of the midline and midline shift distance can predict ICP increase more effectively.
- Published
- 2024
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