A predictive personalised model for the left atrium
A predictive personalised model for the left atrium
复制标题
左心房的预测个性化模型
DOI：
10.22489/cinc.2017.201-136
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发表时间：
2017
期刊：
影响因子：
--
通讯作者：
S. Niederer
中科院分区：
文献类型：
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作者：
C. Corrado;Steven Williams;G. Plank;M. O'Neill;S. Niederer
我们提出了一个集成的建模和临床协议，用于表征左心房中的局部组织特性，并在四个患者病例中验证所得到的个性化模型。我们根据一组测量的局部激动时间（LAT）生成个性化模型，这些时间是通过使用程控起搏协议在冠状窦附近起搏左心房获得的。我们通过评估一组测得的LATS之间的相关性来验证该模型，该LATS是通过在高位右心房上起搏和一组数值计算的LATS获得的。然后，我们通过在计算模型上触发螺旋波，然后分析激活频率和直到异常激活终止所经过的时间，来估计组织是否能够维持心房颤动或心动过速。
We propose an integrated modelling and clinical protocol for characterising local tissue properties in the left atrium and validate the resulting personalised models in four patient cases. We generate a personalised model from a set of measured local activation times (LATs) obtained by pacing the left atrium in the proximity of the coronary sinus with a programmed pacing protocol. We validate the model by evaluating the correlation between a set of measured LATS, obtained by pacing on the high right atrium and a set numerically computed LATs. We then estimate if the tissue is capable of sustaining an atrial fibrillation or a tachycardia by triggering a spiral wave on the computational model and then analysing the activation frequencies and the time elapsed until the termination of the aberrant activation.