Literature DB >> 16193801

Precision targeting of liver lesions using a novel electromagnetic navigation device in physiologic phantom and swine.

Filip Banovac1, Jonathan Tang, Sheng Xu, David Lindisch, Ho Young Chung, Elliot B Levy, Thomas Chang, Michael F McCullough, Ziv Yaniv, Bradford J Wood, Kevin Cleary.   

Abstract

Radiofrequency ablation of primary and metastatic liver tumors is becoming a potential alternative to surgical resection. We propose a novel system that uses real-time electromagnetic position sensing of the needle tip to help with precision guidance into a liver tumor. The purpose of this study was to evaluate this technology in phantom and animal models. Using an electromagnetic navigation device, instrumented 18 g needles were advanced into radioopaque tumor targets in a respiratory liver phantom. The phantom featured a moving liver target that simulated cranio-caudal liver motion due to respiration. Skin-to-target path planning and real-time needle guidance were provided by a custom-designed software interface based on pre-operative 1 mm CT data slices. Needle probes were advanced using only the electromagnetic navigation device and software display. No conventional real-time imaging was used to assist in advancing the needle to the target. Two experienced operators (interventional radiologists) and two inexperienced ones (residents) used the system. The same protocol was then also used in two anesthetized 45 kg Yorkshire swine where radioopaque agar nodules were injected into the liver to serve as targets. A total of 76 tumor targeting attempts were performed in the liver phantom, and 32 attempts were done in the swine. The average time for path planning was 30 s in the phantom, and 63 s in the swine. The median time for the actual needle puncture to reach the desired target was 33 s in the phantom, and 42 s in the swine. The average registration error between the CT coordinate system and electromagnetic coordinate system was 1.4 mm (SD 0.3 mm) in the phantom, and 1.9 mm (SD 0.4 mm) in the swine. The median distance from the final needle tip position to the center of the tumor was 6.4 mm (SD 3.3 mm, n=76) in the phantom, and 8.3 mm (SD 3.7 mm, n=32) in the swine. There was no statistical difference in the planning time, procedure time, or accuracy of needle placement between experienced and inexperienced operators. The novel electromagnetic navigation system allows probe delivery into hepatic tumors of a physiologic phantom and live anesthetized swine. The system allows less experienced operators to perform equally well as experienced radiologists in terms of procedure time and accuracy of needle probe delivery.

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Year:  2005        PMID: 16193801     DOI: 10.1118/1.1992267

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  21 in total

1.  Electromagnetic tracking for US-guided interventions: standardized assessment of a new compact field generator.

Authors:  A M Franz; K März; J Hummel; W Birkfellner; R Bendl; S Delorme; H-P Schlemmer; H-P Meinzer; L Maier-Hein
Journal:  Int J Comput Assist Radiol Surg       Date:  2012-05-24       Impact factor: 2.924

2.  Electromagnetic tracking for abdominal interventions in computer aided surgery.

Authors:  Hui Zhang; Filip Banovac; Ralph Lin; Neil Glossop; Bradford J Wood; David Lindisch; Elliot Levy; Kevin Cleary
Journal:  Comput Aided Surg       Date:  2006-05

3.  A new device for fiducial registration of image-guided navigation system for liver RFA.

Authors:  Nobutaka Doba; Hiroyuki Fukuda; Kazushi Numata; Yoshiteru Hao; Kouji Hara; Akito Nozaki; Masaaki Kondo; Makoto Chuma; Katsuaki Tanaka; Shigeo Takebayashi; Norihiro Koizumi; Akira Kobayashi; Junichi Tokuda; Shin Maeda
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-07-17       Impact factor: 2.924

4.  Electromagnetic tracking in the clinical environment.

Authors:  Ziv Yaniv; Emmanuel Wilson; David Lindisch; Kevin Cleary
Journal:  Med Phys       Date:  2009-03       Impact factor: 4.071

5.  MRI-compatible manipulator with remote-center-of-motion control.

Authors:  Nobuhiko Hata; Junichi Tokuda; Shelley Hurwitz; Shigehiro Morikawa
Journal:  J Magn Reson Imaging       Date:  2008-05       Impact factor: 4.813

6.  Three-dimensional ultrasound-guided robotic needle placement: an experimental evaluation.

Authors:  Emad M Boctor; Michael A Choti; Everette C Burdette; Robert J Webster Iii
Journal:  Int J Med Robot       Date:  2008-06       Impact factor: 2.547

7.  Toward online modeling for lesion visualization and monitoring in cardiac ablation therapy.

Authors:  Cristian A Linte; Jon J Camp; David R Holmes; Maryam E Rettmann; Richard A Robb
Journal:  Med Image Comput Comput Assist Interv       Date:  2013

8.  Estimated effective dose of CT-guided percutaneous cryoablation of liver tumors.

Authors:  Byung Kwan Park; Paul R Morrison; Servet Tatli; Usha Govindarajulu; Kemal Tuncali; Phil Judy; Paul B Shyn; Stuart G Silverman
Journal:  Eur J Radiol       Date:  2011-06-08       Impact factor: 3.528

9.  Radiofrequency ablation of lung tumors in swine assisted by a navigation device with preprocedural volumetric planning.

Authors:  Filip Banovac; Patrick Cheng; Enrique Campos-Nanez; Bhaskar Kallakury; Teo Popa; Emmanuel Wilson; Hernan Abeledo; Kevin Cleary
Journal:  J Vasc Interv Radiol       Date:  2009-11-25       Impact factor: 3.464

10.  Electromagnetic tracking for thermal ablation and biopsy guidance: clinical evaluation of spatial accuracy.

Authors:  Jochen Krücker; Sheng Xu; Neil Glossop; Anand Viswanathan; Jörn Borgert; Heinrich Schulz; Bradford J Wood
Journal:  J Vasc Interv Radiol       Date:  2007-09       Impact factor: 3.464

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