Evidence map›Paper›PMID 42527803›Full record

ArticleAnnals of surgical oncology2026

ICG-only Sentinel Lymph Node Biopsy in Breast Cancer: A Prospective UK Cohort Demonstrating Consistent Detection Across Patient and Tumour Characteristics-A Follow-on to the INFLUENCE Trial.

Vassilis Pitsinis, Nadia Khitab, Lee Jordan, Alessio Vinci, Rahul Kanitkar, Emad Elseedawy, Jennifer Smith

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Article in Annals of surgical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Vassilis PitsinisUniversity of Dundee and NHS Tayside, Dundee, Scotland. vpitsinis@mac.com.
Nadia KhitabUniversity of Dundee and NHS Tayside, Dundee, Scotland.
Lee JordanUniversity of Dundee and NHS Tayside, Dundee, Scotland.
Alessio VinciUniversity of Dundee and NHS Tayside, Dundee, Scotland.
Rahul KanitkarUniversity of Dundee and NHS Tayside, Dundee, Scotland.
Emad ElseedawyUniversity of Dundee and NHS Tayside, Dundee, Scotland.
Jennifer SmithUniversity of Dundee and NHS Tayside, Dundee, Scotland.

Funding

NHS Tayside Charitable Foundation 533-A03073
6 · The paper itself

Abstract

backgroundSentinel lymph node biopsy (SLNB) using dual tracer techniques remains the gold standard for axillary staging in early breast cancer. However, reliance on radioisotope mapping introduces logistical complexity, cost, and radiation exposure. Indocyanine green (ICG) fluorescence imaging has emerged as a potential single-tracer alternative, but concerns remain regarding its reliability across heterogeneous patient populations.

methodsA prospective single-centre cohort study was conducted including 300 consecutive SLNB procedures across 292 unique patients using ICG as the sole tracer. The primary endpoints were nodal procedural detection rate and ICG nodal detection rate. Secondary outcomes included: nodal positivity, number of nodes retrieved, operative time, the influence of patient, tumour, and procedural variables. Statistical analysis included linear and logistic regression and correlation analysis.

resultsProcedural nodal detection was achieved in 99.7% (299/300) of procedures, while ICG fluorescent nodal detection was achieved in 97.7% (293/300). Median surgeon-pathologist nodal concordance was 100% (IQR 50-100%), with complete count agreement in 50.7% of procedures. Detection was not influenced by age, body mass index (BMI), tumour size, or procedure type. Operative time increased significantly with BMI (p = 0.0118) and breast-conserving surgery (p < 0.0001).

conclusionsThis large UK prospective series demonstrates that ICG-only fluorescence guidance is safe, efficient, and reproducible, with high procedural and nodal detection rates. Naked-eye visibility of ICG was observed in a subset of cases, further supporting its practicality. Performance was consistent across surgical procedures and patient BMI. These findings support broader adoption of ICG as a single tracer for SLNB.

Indexed as

Axillary stagingBreast cancerFluorescence-guided surgeryIndocyanine greenLymphatic mappingNear-infrared fluorescenceSentinel lymph node biopsySingle-tracer technique

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.