Alacam Burak, Yazici Birsen, Intes Xavier, Chance Britton
Dept. of Electr., Comput., Syst. Eng., Rensselaer Polytech. Inst., Troy, NY.
Conf Proc IEEE Eng Med Biol Soc. 2005;2006:62-5. doi: 10.1109/IEMBS.2005.1616342.
In this paper, we present three different compartmental models to model the pharmacokinetics of Indocyanine green (ICG) in cancerous tumors. We introduce a systematic and robust method to analyze ICG pharmacokinetics based on extended Kalman filtering (EKF) framework. We introduced information theoretic criteria for best compartmental model selection in terms of statistical fit. We tested our approach using the ICG concentration data acquired from four Fischer rats carrying adenocarcinoma tumor cells collected using near infrared (NIR) techniques. Our study indicates that, in addition to the pharmacokinetic rates and ICG concentrations in different compartments, EKF model may provide parameters that may be useful for cancerous tumor differentiation.
在本文中，我们提出了三种不同的房室模型来模拟吲哚菁绿（ICG）在癌性肿瘤中的药代动力学。我们引入了一种基于扩展卡尔曼滤波（EKF）框架的系统且稳健的方法来分析ICG药代动力学。我们引入了信息论标准，以便根据统计拟合来选择最佳房室模型。我们使用从四只携带腺癌肿瘤细胞的Fischer大鼠收集的ICG浓度数据对我们的方法进行了测试，这些数据是使用近红外（NIR）技术采集的。我们的研究表明，除了不同房室中的药代动力学速率和ICG浓度外，EKF模型可能会提供对癌性肿瘤分化有用的参数。
