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Annals of Surgical Oncology

, Volume 25, Issue 13, pp 3982–3982 | Cite as

A Novel Navigation for Laparoscopic Anatomic Liver Resection Using Indocyanine Green Fluorescence

  • Takeo Nomi
  • Daisuke Hokuto
  • Takahiro Yoshikawa
  • Yasuko Matsuo
  • Masayuki Sho
Hepatobiliary Tumors

Abstract

Background

Among all laparoscopic liver resection techniques, anatomic liver resection is one of the most challenging procedures, with disorientation readily occurring during the laparoscopic approach compared with the open approach.1 Thus, navigation is warranted for laparoscopic anatomic liver resection. Recent research has remarkably established intraoperative fluorescence imaging techniques using indocyanine green fluorescence (ICG) in the field of liver surgery.24 This report describes real-time navigation for anatomic liver resection using the novel ICG system, PINPOINT (Stryker, Kalamazoo, MI).

Methods

The target Glissonian pedicle was identified and temporally clamped after confirmation of blood supply to the preserved adjacent segment using ultrasonography. Next, 1.5 mg of ICG was intravenously administered using the negative counterstaining method. After 3 min of administration, the ICG-stained area could be readily recognized. Parenchymal transection was subsequently initiated along the interface between the ICG-positive and ICG-negative areas using the Pringle maneuver.

Results

Using PINPOINT, laparoscopic anatomic liver resection was performed for 16 patients. The extent of liver resection comprised two left hepatectomies, three right-anterior sectionectomies, three right-anterior sectionectomies, and eight segmentectomies. The identification rate of clear demarcations in the ICG images was 100%. The intraoperative blood loss was 226 mL, and the operative time was 305 min. Only one patient encountered the major postoperative complication of ascites, and all the patients attained R0 resection.

Conclusions

Because the images provided by the ICG system are clearer than conventional ICG images, it could facilitate real-time navigation for laparoscopic anatomic liver resection.

Notes

Conflict of interest

There are no conflicts o interest.

Supplementary material

10434_2018_6768_MOESM1_ESM.mpg (224.4 mb)
Supplementary material 1 (MPG 229780 kb)

References

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    Aoki T, Yasuda D, Odaira M, et al. Image-guided liver mapping using fluorescence navigation system with indocyanine green for anatomical hepatic resection. World J Surg. 2008;32:1763–7.CrossRefGoogle Scholar
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    Inoue Y, Arita J, Sakamoto T, et al. Anatomical liver resections guided by 3-dimensional parenchymal staining using fusion indocyanine green fluorescence imaging. Ann Surg. 2015;262:105–11.CrossRefGoogle Scholar
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    Nomi T, Fuks D, Govindasamy M, et al. Risk factors for complications after laparoscopic major hepatectomy. Br J Surg. 2015;263:353–61.Google Scholar
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    Terasawa M, Ishizawa T, Mise Y, et al. Applications of fusion-fluorescence imaging using indocyanine green in laparoscopic hepatectomy. Surg Endosc. 2017;31(12): 5111–8.CrossRefGoogle Scholar

Copyright information

© Society of Surgical Oncology 2018

Authors and Affiliations

  • Takeo Nomi
    • 1
  • Daisuke Hokuto
    • 1
  • Takahiro Yoshikawa
    • 1
  • Yasuko Matsuo
    • 1
  • Masayuki Sho
    • 1
  1. 1.Department of SurgeryNara Medical UniversityKashihara-shiJapan

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