Skip to main content

CT Image Analysis of Large Bone Flap Craniotomy for Severe Traumatic Brain Injury

Buy Article:

$107.14 + tax (Refund Policy)

Objective: To explore the therapeutic effect of large traumatic craniotomy for severe craniocerebral injury and examine recovery using CT image analysis. Methods: 86 patients with severe craniocerebral injury admitted to our hospital were selected and divided into control group (n = 43) and observation group (n = 43). The observation group was treated with modified large traumatic craniotomy, while the control group was treated with standard large traumatic craniotomy. After the experiment, we analyzed the CT images before and after the operation, as well as the therapeutic effect, including the total effective rate of drugs, the incidence of complications, intracranial pressure, neurological deficit, language function score and motor function score, and analyzed their medical value. Results: The medical total effective rate, language function score and motor function score of the observation group were higher than those of the control group, and the incidence of complications, intracranial pressure and neurological deficits were lower than those of the control group, with statistical significance (P < 0.05). CT images also showed that the patient condition was improved and recovery was good. Conclusion: Compared with standard craniotomy, the craniotomy with large bone flaps can achieve better therapeutic effect. The incidence of complications is reduced and the recovery is good. This type of procedure is beneficial to improve the prognosis and neurological function of patients.

Keywords: CRANIOCEREBRAL INJURY; CRANIOTOMY; CT IMAGE; NEUROLOGY; NIHSS SCORE

Document Type: Research Article

Publication date: 01 October 2019

More about this publication?
  • Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content