Classifying Small Volumes of Tissue for Real-Time Monitoring Radiofrequency Ablation
Classifying Small Volumes of Tissue for Real-Time Monitoring Radiofrequency Ablation
复制标题
对小体积组织进行分类以实时监测射频消融
DOI：
10.1007/978-3-030-21642-9_26
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Sahakian, Alan Varteres
中科院分区：
文献类型：
--
作者：
Besler, Emre;Wang, Yearnchee Curtis;Chan, Terence;Sahakian, Alan Varteres
用于消融癌性和非癌性肿块的日益流行的治疗是通过射频焦耳加热的热消融。为了保持治疗技术的可靠性，对热组织消融过程的实时监测是必不可少的。用于监测消融程度的常用方法已被证明是准确的，尽管它们是耗时的并且通常需要强大的计算机来运行，由于临床程序的时间依赖性，这使得临床消融过程更加繁琐和昂贵。在这项研究中，机器学习（ML）的方法，以减少时间来计算消融的进展，同时保持传统方法的准确性。使用不同的设置进行消融，同时收集阻抗数据，并测试不同的ML算法，以根据收集的数据预测三维消融深度。最后，结果表明，一对最佳的硬件设置和ML算法能够通过估计损伤深度在微米级误差范围内的平均值来控制消融，同时在传统的x86-64计算硬件上保持估计时间在5.5 s内。
An increasingly-popular treatment for ablation of cancerous and non-cancerous masses is thermal ablation by radiofrequency joule heating. Real-time monitoring of the thermal tissue ablation process is essential in order to maintain the reliability of the treatment technique. Common methods for monitoring the extent of ablation have proven to be accurate, though they are time-consuming and often require powerful computers to run on, which makes the clinical ablation process more cumbersome and expensive due to the time-dependent nature of the clinical procedure. In this study, a Machine Learning (ML) approach is presented to reduce the time to calculate the progress of ablation while keeping the accuracy of the conventional methods. Different setups were used to perform the ablation and collect impedance data at the same time and different ML algorithms were tested to predict the ablation depth in three dimensions, based on the collected data. In the end, it is shown that an optimal pair of hardware setup and ML algorithm were able to control the ablation by estimating the lesion depth within an average of micrometer-magnitude error range while keeping the estimation time within 5.5 s on conventional x86-64 computing hardware.
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影响因子：
3.1
作者：
Wang, Yearnchee Curtis;Chan, Terence Chee-Hung;Sahakian, Alan Varteres
通讯作者：
Sahakian, Alan Varteres
DOI：
10.1007/3-540-45014-9
发表时间：
2000-06
期刊：
--
影响因子：
--
作者：
Thomas G. Dietterich
通讯作者：
Thomas G. Dietterich
射频组织消融：探头尺寸、规格、持续时间和温度对病变体积的影响。
影响因子：
4.8
作者：
S. Goldberg;G. Gazelle;S. Dawson;W. Rittman;P. Mueller;D. Rosenthal
通讯作者：
D. Rosenthal
影响因子：
3.1
作者：
E. Besler;Y. Curtis Wang;Terence C Chan;Alan V Sahakian
通讯作者：
E. Besler;Y. Curtis Wang;Terence C Chan;Alan V Sahakian
影响因子：
37.8
作者：
Lardo, AC;McVeigh, ER;Halperin, HR
通讯作者：
Halperin, HR