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用于治疗规划的可搜索冷冻消融模拟数据库的开发。

Development of a Searchable Database of Cryoablation Simulations for Use in Treatment Planning.

作者信息

Boas F Edward, Srimathveeravalli Govindarajan, Durack Jeremy C, Kaye Elena A, Erinjeri Joseph P, Ziv Etay, Maybody Majid, Yarmohammadi Hooman, Solomon Stephen B

机构信息

Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave., New York, NY, 10065, USA.

Department of Medical Physics, Memorial Sloan Kettering Cancer Center, 1275 York Ave., New York, NY, 10065, USA.

出版信息

Cardiovasc Intervent Radiol. 2017 May;40(5):761-768. doi: 10.1007/s00270-016-1562-4. Epub 2017 Jan 3.

Abstract

PURPOSE

To create and validate a planning tool for multiple-probe cryoablation, using simulations of ice ball size and shape for various ablation probe configurations, ablation times, and types of tissue ablated.

MATERIALS AND METHODS

Ice ball size and shape was simulated using the Pennes bioheat equation. Five thousand six hundred and seventy different cryoablation procedures were simulated, using 1-6 cryoablation probes and 1-2 cm spacing between probes. The resulting ice ball was measured along three perpendicular axes and recorded in a database. Simulated ice ball sizes were compared to gel experiments (26 measurements) and clinical cryoablation cases (42 measurements). The clinical cryoablation measurements were obtained from a HIPAA-compliant retrospective review of kidney and liver cryoablation procedures between January 2015 and February 2016. Finally, we created a web-based cryoablation planning tool, which uses the cryoablation simulation database to look up the probe spacing and ablation time that produces the desired ice ball shape and dimensions.

RESULTS

Average absolute error between the simulated and experimentally measured ice balls was 1 mm in gel experiments and 4 mm in clinical cryoablation cases. The simulations accurately predicted the degree of synergy in multiple-probe ablations. The cryoablation simulation database covers a wide range of ice ball sizes and shapes up to 9.8 cm.

CONCLUSION

Cryoablation simulations accurately predict the ice ball size in multiple-probe ablations. The cryoablation database can be used to plan ablation procedures: given the desired ice ball size and shape, it will find the number and type of probes, probe configuration and spacing, and ablation time required.

摘要

目的

通过对各种消融探头配置、消融时间和消融组织类型的冰球大小和形状进行模拟,创建并验证一种用于多探头冷冻消融的规划工具。

材料与方法

使用彭尼斯生物热方程模拟冰球大小和形状。模拟了5670种不同的冷冻消融程序,使用1 - 6个冷冻消融探头,探头间距为1 - 2厘米。沿三个相互垂直的轴测量生成的冰球,并记录在数据库中。将模拟的冰球大小与凝胶实验(26次测量)和临床冷冻消融病例(42次测量)进行比较。临床冷冻消融测量数据来自于对2015年1月至2016年2月期间符合健康保险流通与责任法案(HIPAA)的肾脏和肝脏冷冻消融程序的回顾性研究。最后,我们创建了一个基于网络的冷冻消融规划工具,该工具利用冷冻消融模拟数据库查找能产生所需冰球形状和尺寸的探头间距和消融时间。

结果

在凝胶实验中,模拟冰球与实验测量冰球之间的平均绝对误差为1毫米,在临床冷冻消融病例中为4毫米。模拟准确预测了多探头消融中的协同程度。冷冻消融模拟数据库涵盖了高达9.8厘米的各种冰球大小和形状。

结论

冷冻消融模拟能准确预测多探头消融中的冰球大小。冷冻消融数据库可用于规划消融程序:给定所需的冰球大小和形状,它将找到所需的探头数量和类型、探头配置和间距以及消融时间。

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