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Federación Mexicana de Ginecología y Obstetricia, A.C.

2018, Number 07

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Ginecol Obstet Mex 2018; 86 (07)

Retroperitoneal nodal dissection in gynecological cancer: utility as a predictive biomarker

Valdespino-Castillo VE, Maytorena-Córdova G, Valdespino-Gómez VM, Olguín-Cruces V, Zeferino-Torquero M, Blas-Hernández P

Language: Spanish
References: 31
Page: 464-477
PDF size: 325.70 Kb.


ABSTRACT

Background: Retroperitoneal and pelvic lymphadenectomy is part of the surgical process staging of endometrial and ovarian cancer. The stage assignment and treatment of patients with cervical cancer is clinical; with radiotherapy and chemotherapy concomitant, without knowing prognostic factors of the local disease, neither status of pelvic and retroperitoneal lymph node disease. In gynecological cancer the systematic pathological evaluation of the retroperitoneal ganglia is decisive for stablished the stage (in ovarian and endometrial) but in cervical cancer has less approval in international treatment guidelines and there are fewer studies solids that are in favor of staging lymphadenectomy.
Objective: To review the topic and demonstrate the relevance and advantages of staging retroperitoneal ganglionar in the different gynecological malignancies.
Method: The bibliography was revised in the PubMed database with search of key words: lymphadenectomy in gynecological cancer and lymph node metastases retroperitoneal in gynecological cancer.
Results: 71 articles were finded with information on the study variables. At the time of its analysis only documents with study information were included randomized, and with information that included endometrial cancer, ovary or cervix, covered 31 articles for analysis.
Conclusions: In addition to the review of articles, a proposal is presented to evaluate retroperitoneal metastases and their future usefulness as a biomarker. With the exposed literature and our proposed retroperitoneal lymph node evaluation is it favors the staging of gynecological cancer (endometrium, ovary and cervix).


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