Journal of Cardiothoracic Surgery (Mar 2024)

Clinicopathological factors associated with sentinel lymph node detection in non-small-cell lung cancer

  • Christophe Wollbrett,
  • Joseph Seitlinger,
  • Florent Stasiak,
  • Juliette Piccoli,
  • Arthur Streit,
  • Joelle Siat,
  • Guillaume Gauchotte,
  • Stéphane Renaud

DOI
https://doi.org/10.1186/s13019-024-02632-y
Journal volume & issue
Vol. 19, no. 1
pp. 1 – 9

Abstract

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Abstract Background Mapping of the pulmonary lymphatic system by near-infrared (NIR) fluorescence imaging might not always identify the first lymph node relay. The aim of this study was to determine the clinicopathologic factors allowing the identification of sentinel lymph nodes (SLNs) by NIR fluorescence imaging in thoracic surgery for non-small-cell lung cancer (NSCLC). Methods We conducted a retrospective review of 92 patients treated for suspected or confirmed cN0 lung cancer with curative intent who underwent an intraoperative injection of indocyanine green (ICG) either by direct peritumoral injection or by endobronchial injection using electromagnetic navigational bronchoscopy (ENB). After exclusion of patients for technical failure, benign disease and metastasis, we analyzed the clinicopathologic findings of 65 patients treated for localized-stage NSCLC, comparing the group with identification of SLNs (SLN-positive group) with the group without identification of SLNs (SLN-negative group). Results Forty-eight patients (73.8%) were SLN-positive. Patients with SLN positivity were more frequently female (50%) than the SLN-negative patients were (11.8%) (p = 0.006). The mean value of diffusing capacity for carbon monoxide (DLCO) was lower among the patients in the SLN-negative group (64.7% ± 16.7%) than the SLN-positive group (77.6% ± 17.2%, p 75% (HR = 4.92, 95% CI: 1.27–24.7; p = 0.03) and female sex (HR = 5.55, 95% CI: 1.25–39.33; p = 0.04) were independently associated with SLN detection. Conclusions At a time of resurgence in the use of the sentinel lymph node mapping technique in the field of thoracic surgery, this study enabled us to identify, using multivariate analysis, two predictive factors for success: DLCO > 75% and female sex. Larger datasets are needed to confirm our results.

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