Related Experiment Video
Updated: Mar 24, 2026

Analysis of Cerebral Vasospasm in a Murine Model of Subarachnoid Hemorrhage with High Frequency Transcranial Duplex Ultrasound
Published on: June 3, 2021
Application of ultrasound-based navigation in hypertensive intracerebral hemorrhage surgery: a meta-analysis
Xianshen Zhou1, Chengdao Hua1, Qinyong Fei1
1Department of Neurosurgery, The Anhui Provincial Corps Hospital of Chinese People's Armed Police Forces Hefei 230031, Anhui, China.
Objective:
To explore the application of ultrasound-based navigation in surgery for hypertensive intracerebral hemorrhage (HICH).
Methods:
Databases such as CNKI, VIP, Wanfang, The Cochrane Library, Google Scholar, Embase, Medline, and PubMed were searched for meta-analyses. The effects of ultrasound-based navigation on surgery for hypertensive intracerebral haemorrhage were analyzed in terms of the amount of blood loss volume, hematoma evacuation rate, hospital stays, rebleeding, infection, deep vein thrombosis, surgical related complications and mortality.
Results:
Eighteen studies, containing 1491 HICH patients, were included in this meta-analysis (757 in experimental group and 734 in control group). The pooled results showed that compared to patients in the control group, patients in the experimental group undergoing ultrasound-assisted surgery had reduced blood loss (P = 0.002), hematoma evacuation rate (P < 0.0001), and hospital stays (P < 0.00001). In addition, ultrasound-based navigation in surgery had a positive effect on preventing postoperative rebleeding (P = 0.002), infection (P = 0.005), deep vein thrombosis (P = 0.03), and surgical related complications (P < 0.00001). However, in regarding mortality, no obvious difference was found (P = 0.05) between the two groups.
Conclusion:
Ultrasound-based navigation is effective in HICH surgery, which enables clinicians to optimize surgical treatment plans. However, due to the existence of some limitations, the conclusion needs to be validated by randomized controlled trials with high-quality and large sample size.

