Suppr超能文献

Prediction of the ablated area prior to radiofrequency ablation for liver tumor under CT guidance.

作者信息

Yoshimatsu Rika, Doi Akinori, Yamanishi Tomoaki, Nishimori Miki, Ogi Kenta, Kajiwara Kenji, Tamura Taiji, Minamiguchi Hiroki, Yamagami Takuji

机构信息

a Department of Radiology , Kochi University, Kochi Medical School , Nankoku , Japan.

b Clinical Radiology Department , Kochi Medical School Hospital , Nankoku , Japan.

出版信息

Minim Invasive Ther Allied Technol. 2018 Feb;27(1):22-26. doi: 10.1080/13645706.2017.1407799. Epub 2017 Nov 27.

Abstract

PURPOSE

To evaluate the usefulness of a method we developed to predict the ablation area at the time of CT guided radiofrequency (RF) ablation for liver tumors on a CT workstation.

MATERIAL AND METHODS

Ten tumors (mean diameter 15.5 mm, range, 9.0-21.5 mm) in seven patients with hepatocellular carcinoma for which CT guided RF ablation was performed were subjects of this study. After advancing the electrode, plain CT was obtained. Then a simulated ball to predict the ablated area was created on the workstation. After confirming that the tumor was sufficiently within the ball, ablation was performed. The distance of the edge of the actual ablated area from that of the predicted ablated area was measured at six points in three cross-sectional directions on CT images after ablation.

RESULTS

The procedures were successfully performed without complications. No local recurrence occurred. Mean absolute value of the distance of the gap between the actual and predicted ablated areas was 3.06 ± 2.18 mm (range: 0 to 9 mm). At 29 (55.8%) points, the actual ablated area was smaller than the predicted ablated area; it was larger in 17 (32.7%), and was the same in 6 (11.5%) points.

CONCLUSION

Our method produces an acceptable simulation during RF ablation under CT guidance.

摘要

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验