Laparoscopic anatomical liver resection guided by real-time indocyanine green fluorescence imaging: experience and lessons learned from the initial series in a single center

2020 
BACKGROUND Anatomical liver resection is an established procedure for primary hepatic tumors. Laparoscopic anatomical hepatectomy has been proven to be technically achievable from S1 to S8 in experienced hands. The indocyanine green (ICG) fluorescence imaging technique offers a novel tool of intraoperative visualization in hepatobiliary surgery. This study aims to investigate the feasibility of laparoscopic anatomical liver resection based on segmental staining using real-time ICG fluorescence. METHODS From December 2015 to October 2017, 36 patients in our institute underwent lap-ALR using real-time ICG fluorescence mapping of the tumor-bearing portal territory. The procedural and perioperative data were collected and analyzed. RESULTS In our case series, we successfully performed the fashion of positive staining mostly in segmentectomy or sub-segmentectomy by individually injecting 5-10 ml of ICG (0.025 mg/ml) into its feeding portal branch guided by intraoperative ultrasound, and the negative staining mainly for sectionectomy, hemihepatectomy and multi-segmentectomy by interrupting the Glissonean pedicle serving the tumor-bearing segments and systemically injecting 1 ml of ICG (2.5 mg/ml). Our total successful rate of staining is 53%. No conversion to laparotomy, Clavien III-IV complication or 90-day mortality occurred. Valuable technical feedback, experience and lessons are learned from this initial practice. CONCLUSIONS Real-time ICG fluorescence imaging adds much precision to laparoscopic anatomical hepatectomy. The success of segmental staining requires a high proficiency of IOUS and skillful interpretation of preoperative 3D simulation. Decision-making on the fashions of positive and negative staining have been initially recommended. Multi-centered practice and technical modification are necessary to standardize its application.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    33
    References
    8
    Citations
    NaN
    KQI
    []