Contents
This study investigates how to optimize the sensitivity of pelvic sentinel lymph node (SLN) detection in women with endometrial cancer by combining indocyanine green (ICG)-based mapping with the removal of non-mapped lymph nodes at anatomically high-risk positions. The research focuses on whether non-mapped pelvic nodes in the proximal obturator fossa and interiliac area contain metastatic disease. The study found that non-mapped nodes in these regions held metastases in 4.3% of node-positive women, suggesting that relying solely on ICG mapping could miss important nodal metastases. By implementing this hybrid approach, which involves removing non-mapped nodes at these specific anatomical positions, the sensitivity of SLN detection improves, particularly in women at risk for nodal metastases. This hybrid algorithm is recommended to ensure more comprehensive nodal staging in endometrial cancer without the need for a full lymph node dissection.
Citation
Bollino M, Geppert B, Reynisson P, Lönnerfors C, Persson J. Optimizing the Sensitivity of a Pelvic Sentinel Node Algorithm Requires a Hybrid Algorithm Combining Indocyanine Green Based Mapping and the Removal of Non-Mapped Nodes at Defined Anatomic Positions. Cancers (Basel). 2024 Sep 23;16(18):3242.
Link
https://www.mdpi.com/2072-6694/16/18/3242
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