Sugiyama Taku, Gan Liu Shi, Zareinia Kourosh, Lama Sanju, Sutherland Garnette R
Department of Clinical Neurosciences and the Hotchkiss Brain Institute, University of Calgary, Calgary AB, Canada; Department of Neurosurgery, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
Department of Clinical Neurosciences and the Hotchkiss Brain Institute, University of Calgary, Calgary AB, Canada.
World Neurosurg. 2017 Jun;102:221-228. doi: 10.1016/j.wneu.2017.03.006. Epub 2017 Mar 21.
Surgical resection of a brain arteriovenous malformation (AVM) poses a technical challenge because of the fragility and number of small feeding and draining vessels around the nidus. Acquiring knowledge of the optimal force applied to such tissue is important in surgical performance and education.
A force-sensing bipolar forceps was developed through installation of strain gauge sensors, and force profiles were obtained from 2 AVM surgeries. The force data associated with vessel injury, unsuccessful trial, was compared with that from successful trials. Receiver operating curve analysis was used for determining optimal force threshold and evaluating the discriminative accuracy of measurement.
Force data from 519 trials was collected, of which 16 (3.1%) were unsuccessful. The mean and maximum forces in successful trials were 0.23 ± 0.06 N and 0.35 ± 0.11 N compared with unsuccessful trials of 0.33 ± 0.05 N and 0.53 ± 0.11 N, respectively (P < 0.001). There was a strong association of mean and maximum force peaks with unsuccessful trials as reflected by the area under the curve of 0.91 and 0.87, respectively. Threshold analysis showed that the rate of unsuccessful trials and error forces tended to increase with surgical time.
Excessive force at the tool tip may result in injury to fragile vessels during AVM surgery. A quantifiable metric through force sensing instruments can detect and predict the occurrence of such injury. Such an instrument may be ideal for resident training and evaluation.
由于脑动静脉畸形(AVM)病灶周围小供血和引流血管的脆弱性及数量众多,对其进行手术切除具有技术挑战性。了解施加于此类组织的最佳力量对于手术操作和培训很重要。
通过安装应变片传感器开发了一种力感应双极镊子,并从2例AVM手术中获取了力分布。将与血管损伤(手术失败)相关的力数据与成功手术的力数据进行比较。采用受试者工作特征曲线分析来确定最佳力阈值并评估测量的判别准确性。
收集了519次手术试验的力数据,其中16次(3.1%)手术失败。成功手术试验中的平均力和最大力分别为0.23±0.06N和0.35±0.11N,而失败手术试验中的平均力和最大力分别为0.33±0.05N和0.53±0.11N(P<0.001)。平均力峰值和最大力峰值与手术失败有很强的相关性,曲线下面积分别为0.91和0.87。阈值分析表明,手术失败率和错误力倾向于随手术时间增加。
在AVM手术中,工具尖端用力过大可能导致脆弱血管损伤。通过力感应仪器获得的可量化指标可以检测和预测此类损伤的发生。这种仪器可能是住院医师培训和评估的理想工具。