Contents
The study aimed to assess the effectiveness of a sentinel lymph node (SLN) algorithm in detecting pelvic nodal metastases in early-stage cervical cancer. Conducted on 181 women with FIGO 2009 stage 1A2-2A1 cervical cancer, the study utilized Indocyanine Green (ICG) as a tracer to identify SLNs through a meticulously defined surgical algorithm. The findings showed a 100% sensitivity and negative predictive value (NPV) for detecting nodal metastases, indicating that the SLN algorithm effectively identifies pelvic nodal metastatic disease. The study also highlighted the significance of evaluating the obturator compartment and the parauterine lymphovascular tissue (PULT) in SLN procedures.
Citation
Persson J, Lührs O, Geppert B, Ekdahl L, Lönnerfors C. A prospective study evaluating an optimized sentinel node algorithm in early stage cervical cancer: The PROSACC-study. Gynecol Oncol. 2024 Aug;187:178-183.
Link
https://www.sciencedirect.com/science/article/pii/S0090825824002373?via%3Dihub#f0020
No comments
You can write comments after you log in.