Tetsuo Nozaki1, Yasuyoshi Fujiuchi, Akira Komiya, Hideki Fuse. 1. Department of Urology, Graduate School of Medicine and Pharmaceutical Sciences for Research, University of Toyama, 2630 Sugitani, Toyama 930-0194, Japan. nozaki0921@yahoo.co.jp
Abstract
BACKGROUND: Precise understanding of surgical anatomy is required during complex laparoscopic surgery (CLS). The purpose of this study was to present our initial operative experience with CLS facilitated by surgical navigation through DynaCT technology. METHODS: Intraoperative computed tomography (CT) images of two CLS cases were obtained by a C-arm DynaCT system (Artis Zeego, Siemens Healthcare, Erlangen, Germany). Image reconstruction was performed on a workstation to define particular anatomical structures of the target tumor. The reconstructed CT images were repeatedly displayed on a submonitor. The surgeon then compared the CT images with a laparoscopic image of the surgical field, thus providing a virtual map to the surgeon. RESULTS: Using the near-real-time surgical navigation system, the surgeon could visualize the surgical anatomy and easily perform the CLS. All procedures were performed successfully with a satisfactory diagnostic yield. CONCLUSION: This novel technology has great potential for application in CLS because it enables generation of accurate depictions of small target tumors and increases the surgeon's confidence during the procedure.
BACKGROUND: Precise understanding of surgical anatomy is required during complex laparoscopic surgery (CLS). The purpose of this study was to present our initial operative experience with CLS facilitated by surgical navigation through DynaCT technology. METHODS: Intraoperative computed tomography (CT) images of two CLS cases were obtained by a C-arm DynaCT system (Artis Zeego, Siemens Healthcare, Erlangen, Germany). Image reconstruction was performed on a workstation to define particular anatomical structures of the target tumor. The reconstructed CT images were repeatedly displayed on a submonitor. The surgeon then compared the CT images with a laparoscopic image of the surgical field, thus providing a virtual map to the surgeon. RESULTS: Using the near-real-time surgical navigation system, the surgeon could visualize the surgical anatomy and easily perform the CLS. All procedures were performed successfully with a satisfactory diagnostic yield. CONCLUSION: This novel technology has great potential for application in CLS because it enables generation of accurate depictions of small target tumors and increases the surgeon's confidence during the procedure.
Authors: O V Solberg; T Langø; G A Tangen; R Mårvik; B Ystgaard; A Rethy; T A N Hernes Journal: Minim Invasive Ther Allied Technol Date: 2009 Impact factor: 2.442
Authors: Jean-Patrice Calestroupat; Rafael Sanchez-Salas; Xavier Cathelineau; Francois Rozet; Marc Galiano; Gordon Smyth; Ali Kasraeian; Eric Barret; Guy Vallancien Journal: J Endourol Date: 2009-04 Impact factor: 2.942
Authors: M-C Rassweiler; R Banckwitz; C Koehler; B Mueller-Allissat; M-S Michel; A Häcker; M Ritter Journal: World J Urol Date: 2013-10-30 Impact factor: 4.226
Authors: Hannes G Kenngott; Martin Wagner; Matthias Gondan; Felix Nickel; Marco Nolden; Andreas Fetzer; Jürgen Weitz; Lars Fischer; Stefanie Speidel; Hans-Peter Meinzer; Dittmar Böckler; Markus W Büchler; Beat P Müller-Stich Journal: Surg Endosc Date: 2013-11-01 Impact factor: 4.584
Authors: N Rotter; B Schmitz; F Sommer; S Röhrer; P J Schuler; F Bischof; M O Scheithauer; T K Hoffmann Journal: HNO Date: 2017-01 Impact factor: 1.284
Authors: H G Kenngott; M Wagner; F Nickel; A L Wekerle; A Preukschas; M Apitz; T Schulte; R Rempel; P Mietkowski; F Wagner; A Termer; Beat P Müller-Stich Journal: Langenbecks Arch Surg Date: 2015-02-21 Impact factor: 3.445
Authors: Wolfgang Hohenforst-Schmidt; Rosemarie Banckwitz; Paul Zarogoulidis; Thomas Vogl; Kaid Darwiche; Eugene Goldberg; Haidong Huang; Michael Simoff; Qiang Li; Robert Browning; Lutz Freitag; J Francis Turner; Patrick Le Pivert; Lonny Yarmus; Konstantinos Zarogoulidis; Johannes Brachmann Journal: J Cancer Date: 2014-02-06 Impact factor: 4.207