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DOI 10.62347/xggf5048

Медицинская библиотека · American journal of translational research · 2026

Application of ultrasound-based navigation in hypertensive intracerebral hemorrhage surgery: a meta-analysis.

Zhou Xianshen, Hua Chengdao, Fei Qinyong

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Аннотация

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.

Для цитирования: Zhou Xianshen, Hua Chengdao, Fei Qinyong. Application of ultrasound-based navigation in hypertensive intracerebral hemorrhage surgery: a meta-analysis.. American journal of translational research. 2026. DOI: 10.62347/xggf5048.
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