Factors Affecting the Efficiency of Near-Infrared Indocyanine Green (NIR/ICG) in Lymphatic Mapping for Colorectal

Irina Shevchenko1,2, Dragos Serban1,2, Ana Maria Dascalu3

  • 1Surgery, Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, ROU.

Cureus
|April 1, 2024
PubMed

Insights

Indocyanine green (ICG) shows promise for lymphatic mapping in colorectal cancer surgery, aiding lymph node detection. Standardized protocols are needed to optimize its use and improve cancer staging accuracy.

Area of Science:

  • Oncologic Surgery
  • Surgical Innovation
  • Medical Imaging

Background:

  • Laparoscopic surgery's rise in oncology necessitates improved lymph node detection.
  • Indocyanine green (ICG) has emerged as a promising dye for surgical applications.
  • Its full potential and limitations in colorectal cancer lymphatic mapping require further investigation.

Purpose of the Study:

  • To assess the potential and limitations of indocyanine green (ICG) for lymphatic mapping in colorectal cancer.
  • To review clinical studies and insights from pioneering researchers in the field.

Main Methods:

  • Systematic literature review of English-language articles.
  • Searched Scopus, PubMed, and Springer Link databases.
  • Keywords: "colorectal cancer," "indocyanine green," "fluorescence," "lymphatic mapping," "lymph nodes."
  • Included 10 articles after applying selection criteria.

Main Results:

  • Detection rates for ICG lymphatic mapping in colorectal cancer varied significantly due to the lack of a standardized protocol.
  • All reviewed studies found the technique beneficial and promising for lymph node detection.
  • ICG is considered a valuable adjunctive tool for enhancing cancer staging accuracy.

Conclusions:

  • Near-infrared (NIR)-enhanced surgery with ICG offers transformative potential in oncologic surgery.
  • Limitations include the absence of standardized techniques and subjective result assessment.
  • Establishing a universal protocol for ICG administration and visualization is crucial for improved outcomes.
  • Careful patient selection is vital to minimize false-negative results.

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