Literature DB >> 18723321

Development of a computer assisted system aimed at RFA liver surgery.

Laurent Mundeleer1, David Wikler, Thierry Leloup, Nadine Warzée.   

Abstract

Radio frequency ablation (RFA) is a minimally invasive treatment for either hepatocellular carcinoma or metastasis liver carcinoma. In order to resect large lesions, the surgeon has to perform multiple time-consuming destruction cycles and reposition the RFA needle for each of them. The critical step in handling a successful ablation and preventing local recurrence is the correct positioning of the needle. For small tumors, the surgeon places the middle of the active needle tip in the center of the tumor under intra-operative ultrasound guidance. When one application is not enough to cover the entire tumor, the surgeon needs to repeat the treatment after repositioning of the needle, but US guidance is obstructed by the opacity stemming from the first RFA application. In this case the surgeon can only rely on anatomical knowledge and the repositioning of the RFA needle becomes a subjective task limiting the treatment accuracy. We have developed a computer assisted surgery guidance application for this repositioning procedure. Our software application handles the complete process from preoperative image analysis to tool tracking in the operating room. Our framework is mostly used for this RFA procedure, but is also suitable for any other medical or surgery application.

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Year:  2008        PMID: 18723321     DOI: 10.1016/j.compmedimag.2008.07.005

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  2 in total

1.  Development and Validation of a Near-Infrared Optical System for Tracking Surgical Instruments.

Authors:  Qinyong Lin; Ken Cai; Rongqian Yang; Huazhou Chen; Zhigang Wang; Jing Zhou
Journal:  J Med Syst       Date:  2016-02-22       Impact factor: 4.460

2.  Instrument-mounted displays for reducing cognitive load during surgical navigation.

Authors:  Marc Herrlich; Parnian Tavakol; David Black; Dirk Wenig; Christian Rieder; Rainer Malaka; Ron Kikinis
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-02-23       Impact factor: 2.924

  2 in total

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