# Fluorescence-guided lymphadenectomy in robot-assisted radical prostatectomy: the role of interventional radiology

**Authors:** Michele Usai, Emma Solinas, Claudio Fabio, Massimo Madonia, Alessandro Tedde, Giacomo Sica, Stefania Tamburrini, Salvatore Masala, Mariano Scaglione

PMC · DOI: 10.3389/fradi.2025.1548211 · 2025-03-12

## TL;DR

This study explores using fluorescence imaging with ICG-Lipiodol to identify cancerous lymph nodes during prostate cancer surgery, showing promising accuracy.

## Contribution

The study introduces fluorescence-guided lymph node dissection using ICG-Lipiodol embolization for real-time identification of metastatic nodes in prostate cancer surgery.

## Key findings

- Fluorescent lymph nodes were confirmed as metastatic via histopathology, while non-fluorescent nodes were negative.
- The phi coefficient showed a strong correlation (0.76) between fluorescence detection and metastatic positivity.
- The method demonstrated 100% sensitivity in identifying metastatic lymph nodes.

## Abstract

Bilateral extended pelvic lymph node dissection (ePLNR) is used in high-risk prostate cancer for assessing metastatic involvement and lymph node staging. Nevertheless, in patients with localized or locally advanced prostate cancer, loco-regional lymph nodes are not always metastatic. Based on this assumption, the aim of this study is to evaluate the potential of ePLND performed under fluorescence guidance after administration of the Indocyanine green (ICG)—Lipiodol mixture via embolization of the prostate arteries in order to identify metastatic lymph nodes, that are then confirmed by histopathology analysis.

All participants underwent selective embolization of the prostatic arteries 24–48 h before the scheduled surgery. The embolization procedure involved the injection of 25 mg/ml ICG, distilled water, and Lipiodol adequately mixed. During ePLND, the “Firefly” mode integrated into the Da Vinci robotic system was used to assess fluorescence in loco-regional lymph nodes. The lymph nodes were harvested and sent for histopathological examination. Intraoperative fluorescence results, histopathological findings, and short-term postoperative complications were recorded and classified according to the Clavien-Dindo system. For statistical analysis, the Phi coefficient was used to assess the correlation between categorical variables.

Ten patients diagnosed with high-risk or unfavorable intermediate-risk PCa were included. All patients underwent radical robot assisted prostatectomy with ePLND within 48 h of prostate embolization using ICG-Lipiodol. Intraoperative fluorescence results, final histopathological findings and postoperative complications were recorded. The lymph nodes with positive fluorescence, after being analyzed separately, were confirmed to be as metastatic upon dedicated histopathological examination, while non-fluorescent lymph nodes were found to be negative for metastatic involvement. The phi coefficient was calculated to establish the degree of correlation between detection of green fluorescence by Firefly system and the positivity of lymph nodes for metastatic invasion at the histopathological analysis. The concordance assessed by phi correlation coefficient was 0.76, with a sensitivity of 100% (95% confidence interval).

Although preliminary, the results of this study demonstrate the potential of fluorescence-guided ePLND after ICG-Lipiodol administration for improving the identification of metastatic lymph nodes during Robotic-assisted radical prostatectomy RARP. Further studies are required to validate our findings with a larger group of patients.

## Linked entities

- **Chemicals:** Indocyanine green (PubChem CID 5282412)
- **Diseases:** prostate cancer (MONDO:0005159)

## Full-text entities

- **Diseases:** prostate cancer (MESH:D011471)
- **Chemicals:** ICG (MESH:D007208), Lipiodol (MESH:D004998)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11937084/full.md

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Source: https://tomesphere.com/paper/PMC11937084