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DYNAMIC VALIDATION OF THE ESTIMATES OBTAINED BY LUMBAR INFUSION TEST IN HYDROCEPHALIC PATIENTS

机译:腰痛患者腰椎浸润试验获得的估计值的动态验证

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The infusion test is a routine clinical tool to study the efficacy of intracranial volume compensation in neurosurgical practice. Traditional approach requires measurement of two relatively long steady states, totaling up to an hour of invasive testing. Therefore, we investigate here the consistency of estimates arising from shorter monitoring times. We developed an off-line software, based on widely accepted model of cerebrospinal fluid circulation, and used it to validate the dynamically evolving test estimates in 25 recordings in patients referred for the infusion test, to confirm diagnosis of hydrocephalus. Our results show that, typically, 4 minutes is required to reach the inflection point in the response curve and, about twice that time to produce estimates within 10% error from the final results. This effect depends on number of free parameters allowed in model estimation and varies between the clinical cases depending on their status and amount of the measurement noise. The observation of the dynamical convergence in the model parameters provides an important information regarding the stability and accuracy of the latest estimates. Real-time application of our method to clinical practice could potentially save 30% of monitoring time or provide an alternative means to validate the accuracy of the test.
机译:输液测试是研究神经外科实践中颅内体积补偿功效的常规临床工具。传统方法需要测量两个相对较长的稳态,总共需要进行一个小时的侵入式测试。因此,我们在这里调查由较短的监视时间引起的估计的一致性。我们基于广泛接受的脑脊髓液循环模型开发了离线软件,并使用该软件来验证输液测试患者中25条记录中动态变化的测试估计值,以确认脑积水的诊断。我们的结果表明,通常需要4分钟才能到达响应曲线中的拐点,而大约需要两倍的时间才能得出与最终结果相差10%以内的估计值。这种效果取决于模型估计中允许的自由参数的数量,并且在临床案例之间会根据其状态和测量噪声的数量而变化。对模型参数的动态收敛的观察提供了有关最新估计的稳定性和准确性的重要信息。将我们的方法实时应用于临床实践可以潜在地节省30%的监视时间,或提供一种替代方法来验证测试的准确性。

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