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Improvement of the primary efficacy of microwave ablation of malignant liver tumors by using a robotic navigation system Cover

Improvement of the primary efficacy of microwave ablation of malignant liver tumors by using a robotic navigation system

Open Access
|May 2020

Abstract

Background

The aim of the study was to assess the primary efficacy of robot-assisted microwave ablation and compare it to manually guided microwave ablation for percutaneous ablation of liver malignancies.

Patients and methods

We performed a retrospective single center evaluation of microwave ablations of 368 liver tumors in 192 patients (36 female, 156 male, mean age 63 years). One hundred and nineteen ablations were performed between 08/2011 and 03/2014 with manual guidance, whereas 249 ablations were performed between 04/2014 and 11/2018 using robotic guidance. A 6-week follow-up (ultrasound, computed tomography and magnetic resonance imaging) was performed on all patients.

Results

The primary technique efficacy outcome of the group treated by robotic guidance was significantly higher than that of the manually guided group (88% vs. 76%; p = 0.013). Multiple logistic regression analysis indicated that a small tumor size (≤ 3 cm) and robotic guidance were significant favorable prognostic factors for complete ablation.

Conclusions

In addition to a small tumor size, robotic navigation was a major positive prognostic factor for primary technique efficacy.

DOI: https://doi.org/10.2478/raon-2020-0033 | Journal eISSN: 1581-3207 | Journal ISSN: 1318-2099
Language: English
Page range: 295 - 300
Submitted on: Feb 17, 2020
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Accepted on: May 3, 2020
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Published on: May 28, 2020
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2020 Jan Schaible, Benedikt Pregler, Niklas Verloh, Ingo Einspieler, Wolf Bäumler, Florian Zeman, Andreas Schreyer, Christian Stroszczynski, Lukas Beyer, published by Association of Radiology and Oncology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.