Optimizing the treatment algorithm for sentinel lymph node mapping in endometrial cancer

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Abstract

The incidence of endometrial cancer, the most common gynecological malignancy, is increasing as life expectancy and obesity both rise. Lymph node status is the most important predictor for outcome, yet routine lymphadenectomy does not confer a survival benefit and is associated with substantial surgical morbidity. In the last decade, sentinel lymph node (SLN) mapping has emerged as a feasible and accurate alternative to full lymphadenectomy. Yet, SLN has introduced a distinction between micro- and macrometastasis, and the entity of non-SLN involvement with their attendant impact on outcome. Included among the raised issues is the question of whether positive sentinel nodes should be followed by pelvic and/or para-aortic lymphadenectomy dependent on the presence of macrometastasis at frozen section or other criteria. Moreover, the proper adjuvant treatment for individual cases with micrometastasis and/or isolated tumor cells is unclear. Recently published data on this topic are summarized in order to optimize the current treatment algorithm as it relates to the results of SLN assessment in endometrial cancer.

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Pijnenborg, J. M. A., Reijnen, C., Vergeldt, T. F. M., & Zusterzeel, P. L. M. (2020). Optimizing the treatment algorithm for sentinel lymph node mapping in endometrial cancer. Seminars in Oncology, 47(2–3), 138–143. https://doi.org/10.1053/j.seminoncol.2020.04.006

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