Single modality indocyanine green is feasible for sentinel node detection in head and neck cutaneous melanoma: a prospective study

Background: Lymph node status is an important prognostic factor in cutaneous head and neck melanomas, with sentinel lymph node biopsies (SLNBs) used to determine occult disease. While studies have analysed dual modality SLNB techniques based on radiocolloid lymphoscintigraphy in combination with either blue dye or near-infrared imaging with indocyanine green (ICG) dye, no studies to date have examined the technique of using ICG alone. This study examined the feasibility of ICG as a single modality for detecting sentinel nodes in cutaneous head and neck melanomas.

Authors

Publication Details

Journal
EJC Skin Cancer
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ejcskn.2025.100601
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
Field-Weighted Citation Impact
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article

Single modality indocyanine green is feasible for sentinel node detection in head and neck cutaneous melanoma: a prospective study

Craig K. Jones, Annabelle Machin, R. Vyas, E. Osanlou
EJC Skin Cancer
Cutaneous Melanoma Detection and Management
article

Single modality indocyanine green is feasible for sentinel node detection in head and neck cutaneous melanoma: a prospective study

Craig K. Jones, Annabelle Machin, R. Vyas, E. Osanlou
article en

Abstract

Background: Lymph node status is an important prognostic factor in cutaneous head and neck melanomas, with sentinel lymph node biopsies (SLNBs) used to determine occult disease. While studies have analysed dual modality SLNB techniques based on radiocolloid lymphoscintigraphy in combination with either blue dye or near-infrared imaging with indocyanine green (ICG) dye, no studies to date have examined the technique of using ICG alone. This study examined the feasibility of ICG as a single modality for detecting sentinel nodes in cutaneous head and neck melanomas.

EJC Skin CancerVol. 3
Zero hunger
Openalex Percentile: Top 90%
Cutaneous Melanoma Detection and Management
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