医学
超声波
麻醉
星状神经节
止痛药
神经调节
神经组阅片室
神经外科
介入放射学
神经学
麻醉学
重症监护医学
外科
放射科
内科学
中枢神经系统
替代医学
病理
精神科
作者
Song Wen,Li Chen,Ting‐Hua Wang,Dong Liang,Zhaoqiong Zhu,Liu‐Lin Xiong
标识
DOI:10.1007/s10072-021-05300-4
摘要
Stellate ganglion block (SGB) has been applied in clinic for almost a century as a therapeutic procedure to alleviate pain-related syndromes and vascular deficits in the upper extremities. A great number of causative side effects and complications due to technological insufficiency and anatomical variations called for the popularity of ultrasound-guided SGB which has made tremendous contribution for clinical diagnosis and therapy, primarily in postoperative pain and cardiac and vascular disorders. This work was aimed at systematically summarizing the current clinical application of ultrasound-guided SGB and putting forward the potential prospective application in future. By searching ultrasound-guided SGB-related works on PubMed database, we mainly elucidated the analgesic effect of preoperative SGB in patients undergoing surgical procedures and substantial reduction in patients with ventricular arrhythmias. The volume of local anesthetics used in ultrasound-guided SGB has been diminished in the recent few years' investigations and successful operation of ultrasound-guided SGB could be achieved with minimal safe volume of local anesthetics. This invasive and safe procedure shows vast potential for future development in clinical treatment for autonomic nervous system and autoimmune disorders. We also put forward hypothesis that ultrasound-guided SGB could be applied combined with controlled hypotension to reduce the intraoperative complications in orthopedic surgery such as insufficiency of cerebral blood flow and reflexive tachycardia. Thus, it is of vital essence to improve the professional skills of physicians for the high rate of success and explore more effective measures which could enhance therapeutic effects when combined with ultrasound-guided SGB in alleviating misery of patients.
科研通智能强力驱动
Strongly Powered by AbleSci AI