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Real-time image guidance in laparoscopic liver surgery: first clinical experience with a guidance system based on intraoperative CT imaging

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Abstract

Background

Laparoscopic liver surgery is particularly challenging owing to restricted access, risk of bleeding, and lack of haptic feedback. Navigation systems have the potential to improve information on the exact position of intrahepatic tumors, and thus facilitate oncological resection. This study aims to evaluate the feasibility of a commercially available augmented reality (AR) guidance system employing intraoperative robotic C-arm cone-beam computed tomography (CBCT) for laparoscopic liver surgery.

Methods

A human liver-like phantom with 16 target fiducials was used to evaluate the Syngo iPilot® AR system. Subsequently, the system was used for the laparoscopic resection of a hepatocellular carcinoma in segment 7 of a 50-year-old male patient.

Results

In the phantom experiment, the AR system showed a mean target registration error of 0.96 ± 0.52 mm, with a maximum error of 2.49 mm. The patient successfully underwent the operation and showed no postoperative complications.

Conclusion

The use of intraoperative CBCT and AR for laparoscopic liver resection is feasible and could be considered an option for future liver surgery in complex cases.

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Acknowledgments

The authors thank Siemens AG, Healthcare Sector, for providing expert personnel during the evaluation to calibrate and operate the system during the intervention. In particular, we would like to thank Martin von Roden for his excellent contribution. Professor Böckler received a research grant and speaker honoraria from Siemens AG. Dr. Müller-Stich received reimbursements of travel expenses from Siemens AG, Erlangen, Germany. This research was supported by the Transregional Collaborative Research Centre (TCRC) ‘Cognition-Guided Surgery’ and the Research Training Group 1126 both funded by the DFG (German Research Foundation).

Disclosures

Drs. Kenngott, Wagner, Gondan, Nickel, Nolden, Fetzer, Weitz, Fischer, Meinzer and Büchler have no conflicts of interest or financial ties to disclose.

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Authors and Affiliations

  1. Department of Surgery, University of Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany

    Hannes G. Kenngott, Martin Wagner, Felix Nickel, Jürgen Weitz, Lars Fischer, Markus W. Büchler & Beat P. Müller-Stich

  2. Institute of Medical Biometry and Informatics, University of Heidelberg, Im Neuenheimer Feld 305, 69120, Heidelberg, Germany

    Matthias Gondan

  3. Division of Medical and Biological Informatics, German Cancer Research Centre, Im Neuenheimer Feld 280, 69120, Heidelberg, Germany

    Marco Nolden, Andreas Fetzer & Hans-Peter Meinzer

  4. Institute for Anthropomatics IFA, Karlsruhe Institute of Technology KIT, Adenauerring 2, 76131, Karlsruhe, Germany

    Stefanie Speidel

  5. Department of Vascular and Endovascular Surgery, University of Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany

    Dittmar Böckler

Authors
  1. Hannes G. Kenngott
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  2. Martin Wagner
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  3. Matthias Gondan
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  4. Felix Nickel
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  5. Marco Nolden
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  6. Andreas Fetzer
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  7. Jürgen Weitz
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  8. Lars Fischer
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  9. Stefanie Speidel
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  10. Hans-Peter Meinzer
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  11. Dittmar Böckler
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  12. Markus W. Büchler
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  13. Beat P. Müller-Stich
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Corresponding author

Correspondence to Hannes G. Kenngott.

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Kenngott, H.G., Wagner, M., Gondan, M. et al. Real-time image guidance in laparoscopic liver surgery: first clinical experience with a guidance system based on intraoperative CT imaging. Surg Endosc 28, 933–940 (2014). https://doi.org/10.1007/s00464-013-3249-0

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  • DOI: https://doi.org/10.1007/s00464-013-3249-0

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