Haga Per Thomas, Pizzichelli Giulia, Mortensen Mikael, Kuchta Miroslav, Pahlavian Soroush Heidari, Sinibaldi Edoardo, Martin Bryn A, Mardal Kent-Andre
Center for Biomedical Computing, Simula Research Laboratory, Fornebu, Norway.
Istituto Italiano di Tecnologia, Center for Micro-BioRobotics, Pontedera, Italy.
PLoS One. 2017 Mar 15;12(3):e0173680. doi: 10.1371/journal.pone.0173680. eCollection 2017.
Intrathecal drug and gene vector delivery is a procedure to release a solute within the cerebrospinal fluid. This procedure is currently used in clinical practice and shows promise for treatment of several central nervous system pathologies. However, intrathecal delivery protocols and systems are not yet optimized. The aim of this study was to investigate the effects of injection parameters on solute distribution within the cervical subarachnoid space using a numerical platform. We developed a numerical model based on a patient-specific three dimensional geometry of the cervical subarachnoid space with idealized dorsal and ventral nerve roots and denticulate ligament anatomy. We considered the drug as massless particles within the flow field and with similar properties as the CSF, and we analyzed the effects of anatomy, catheter position, angle and injection flow rate on solute distribution within the cerebrospinal fluid by performing a series of numerical simulations. Results were compared quantitatively in terms of drug peak concentration, spread, accumulation rate and appearance instant over 15 seconds following the injection. Results indicated that solute distribution within the cervical spine was altered by all parameters investigated within the time range analyzed following the injection. The presence of spinal cord nerve roots and denticulate ligaments increased drug spread by 60% compared to simulations without these anatomical features. Catheter position and angle were both found to alter spread rate up to 86%, and catheter flow rate altered drug peak concentration up to 78%. The presented numerical platform fills a first gap towards the realization of a tool to parametrically assess and optimize intrathecal drug and gene vector delivery protocols and systems. Further investigation is needed to analyze drug spread over a longer clinically relevant time frame.
鞘内药物和基因载体递送是一种在脑脊液中释放溶质的操作。该操作目前已应用于临床实践,并且在治疗几种中枢神经系统疾病方面显示出前景。然而,鞘内递送方案和系统尚未得到优化。本研究的目的是使用一个数值平台来研究注射参数对颈段蛛网膜下腔内溶质分布的影响。我们基于颈段蛛网膜下腔的患者特异性三维几何结构,构建了一个理想化的背侧和腹侧神经根以及齿状韧带解剖结构的数值模型。我们将药物视为流场内的无质量颗粒,且具有与脑脊液相似的性质,并通过进行一系列数值模拟,分析了解剖结构、导管位置、角度和注射流速对脑脊液中溶质分布的影响。在注射后15秒内,从药物峰值浓度、扩散范围、积累速率和出现时刻等方面对结果进行了定量比较。结果表明,在注射后的分析时间范围内,所研究的所有参数均会改变颈椎内的溶质分布。与没有这些解剖特征的模拟相比,脊髓神经根和齿状韧带的存在使药物扩散增加了60%。发现导管位置和角度均可使扩散速率改变高达86%,而导管流速可使药物峰值浓度改变高达78%。所呈现的数值平台填补了朝着实现一种可对鞘内药物和基因载体递送方案及系统进行参数评估和优化的工具迈出的第一步。需要进一步研究以分析在更长的临床相关时间范围内的药物扩散情况。