Fluorescence-guided lymph node identification for biopsy for suspected lymphoproliferative disease or excision of

Salvador Morales-Conde1,2, Maria Vannucci3,4, Beatriz Gómez-García1

  • 1Department of General and Digestive Surgery, University Hospital Virgen Macarena, University of Sevilla, Sevilla, Spain.

Insights

Indocyanine green (ICG) fluorescence is a feasible tool for identifying abdominal lymph nodes during surgery when biopsies are difficult. Administering ICG at anesthesia induction simplifies the process with similar visualization success rates.

Area of Science:

  • Surgical Oncology
  • Medical Imaging
  • Diagnostic Technology

Background:

  • Fine needle aspiration cytology (FNAC) is not always feasible for abdominal lymph node biopsy.
  • Intraoperative localization of lymph nodes in challenging anatomical regions requires advanced techniques.

Purpose of the Study:

  • To assess the feasibility of indocyanine green (ICG) fluorescence for intraoperative abdominal lymph node localization.
  • To compare ICG administration at 24 hours versus anesthesia induction for visualization effectiveness.

Main Methods:

  • Retrospective feasibility study including patients with lesions unsuitable for ultrasound-guided biopsy.
  • Patients received intravenous ICG 24 hours before surgery (Group A) or at anesthesia induction (Group B).
  • Fluorescence findings were compared with preoperative PET-CT and histology.

Main Results:

  • ICG fluorescence visualized 76.5% of lesions across both groups (13/17).
  • Visualization rates were similar between Group A (75%) and Group B (77.8%).
  • Successful visualization included retroperitoneal, mesenteric, and supraclavicular lymph nodes.

Conclusions:

  • ICG fluorescence is a feasible and safe intraoperative adjunct for lymph node identification in difficult surgical areas.
  • Administering ICG at anesthesia induction streamlines workflow without compromising visualization.
  • Findings are exploratory, warranting further investigation due to sample size and selection bias.
Abstract

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