From the Department of Anesthesiology and Critical Care Medicine, University of New Mexico, Albuquerque, New Mexico.
Department of Anesthesiology and Critical Care Medicine, Hadassah Hebrew University Medical Center, Jerusalem, Israel.
Anesth Analg. 2018 Jun;126(6):1995-1998. doi: 10.1213/ANE.0000000000002407.
This study investigated the accuracy of a wireless handheld ultrasound with pattern recognition software that recognizes lumbar spine bony landmarks and measures depth to epidural space (Accuro, Rivanna Medical, Charlottesville, VA) (AU). AU measurements to epidural space were compared to Tuohy needle depth to epidural space (depth to loss of resistance at epidural placement). Data from 47 women requesting labor epidural analgesia were analyzed. The mean difference between depth to epidural space measured by AU versus needle depth was -0.61 cm (95% confidence interval, -0.79 to -0.44), with a standard deviation of 0.58 (95% confidence interval, 0.48-0.73). Using the AU-identified insertion point resulted in successful epidural placement at first attempt in 87% of patients, 78% without redirects.
本研究旨在评估一款具有模式识别软件的无线手持超声设备(Accuro,Rivanna Medical,Charlottesville,VA)(AU)识别腰椎骨性标志和测量硬膜外腔深度的准确性。AU 测量的硬膜外腔深度与 Tuohy 针到达硬膜外腔的深度(硬膜外腔置管时失去阻力的深度)进行了比较。对 47 名要求分娩硬膜外镇痛的女性的数据进行了分析。AU 测量的硬膜外腔深度与针深度之间的平均差值为 -0.61cm(95%置信区间,-0.79 至 -0.44),标准差为 0.58cm(95%置信区间,0.48-0.73)。使用 AU 识别的插入点,87%的患者在第一次尝试时成功进行了硬膜外置管,无需重新定向的比例为 78%。