Department of Electrical Engineering & Computer Science, Vanderbilt University, Nashville, TN, USA.
Neuromodulation. 2014 Jan;17(1):11-5; discussion 15. doi: 10.1111/ner.12061. Epub 2013 May 3.
Postoperative programming in deep brain stimulation (DBS) therapy for movement disorders can be challenging and time consuming. Providing the neurologist with tools to visualize the electrode location relative to the patient's anatomy along with models of tissue activation and statistical data can therefore be very helpful. In this study, we evaluate the consistency between neurologists in interpreting and using such information provided by our DBS programming assistance software.
Five neurologists experienced in DBS programming were each given a dataset of 29 leads implanted in 17 patients. For each patient, probabilistic maps of stimulation response, anatomical images, models of tissue activation volumes, and electrode positions were presented inside a software framework called CRAnialVault Explorer (CRAVE) developed in house. Consistency between neurologists in optimal contact selection using the software was measured.
With only the efficacy map, the average consistency among the five neurologists with respect to the mode and mean of their selections was 97% and 95%, respectively, while these numbers were 93% and 89%, respectively, when both efficacy and an adverse effect map were used simultaneously. Fleiss' kappa statistic also showed very strong agreement among the neurologists (0.87 when using one map and 0.72 when using two maps).
Our five neurologists demonstrated high consistency in interpreting information provided by the CRAVE interactive visualization software for DBS postoperative programming assistance. Three of our five neurologists had no prior experience with the software, which suggests that the software has a short learning curve and contact selection is not dependent on familiarity with the program tools.
深部脑刺激(DBS)治疗运动障碍的术后编程可能具有挑战性且耗时。因此,为神经科医生提供可视化电极相对于患者解剖结构的位置以及组织激活模型和统计数据的工具可能非常有帮助。在这项研究中,我们评估了神经科医生在解释和使用我们的 DBS 编程辅助软件提供的此类信息方面的一致性。
5 位经验丰富的 DBS 编程神经科医生每人获得了 17 名患者的 29 个导联数据集。对于每个患者,刺激反应概率图、解剖图像、组织激活体积模型和电极位置都在内部呈现一个名为 CranialVault Explorer(CRAVE)的软件框架中,该框架是内部开发的。使用该软件测量了神经科医生在最佳触点选择方面的一致性。
仅使用疗效图时,五位神经科医生在选择模式和平均值方面的平均一致性分别为 97%和 95%,而同时使用疗效图和不良反应图时,这两个数字分别为 93%和 89%。Fleiss' kappa 统计量也显示出神经科医生之间非常强的一致性(使用一张图时为 0.87,使用两张图时为 0.72)。
我们的五位神经科医生在解释 CRAVE 交互式可视化软件提供的 DBS 术后编程辅助信息方面表现出高度一致性。我们的五位神经科医生中有三位之前没有使用过该软件,这表明该软件具有较短的学习曲线,并且触点选择并不依赖于对程序工具的熟悉程度。