SciELO - Scientific Electronic Library Online

 
vol.22 issue3Characteristics and survival of patients with HER2-positive metastatic breast cancer in the post-trastuzumab eraNeuroendocrine rectal carcinoma: An infrequent tumor author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Revista Colombiana de Cancerología

Print version ISSN 0123-9015

Abstract

ACOSTA, Jesús et al. Laparoscopic extraperitoneal para-aortic lymphadenectomy as a classification method in locally advanced cervical cancer: Report of a series of cases. rev.colomb.cancerol. [online]. 2018, vol.22, n.3, pp.119-125. ISSN 0123-9015.  https://doi.org/10.1016/j.rccan.2017.07.002.

A description is presented on the surgical experience of 10 patients who underwent laparoscopic extraperitoneal para-aortic lymphadenectomy (LEPL) in order to classify locally advanced cervical carcinoma (LACC), as well as a literature review.

Methods:

A literature search was performed in MEDLINE and EMBASE using the following keywords:''Uterine Cervical Cancer; Cancer Staging; Lymph Nodes; Lymph Node Excision; Laparoscopy; extraperitoneal''. The surgical technique for LEPL is described, as well as the outcomes of the 10 patients who underwent surgery.

Results:

A total of 10 patients, with ages between 29 and 65 years and with LACC underwent LPEL. There were surgical blood losses between 5 to 30 cc, a lymph node count between 2 and 11, no surgical complications, and a hospital stay of between 1 and 3 days.

Conclusion:

This is the first experience reported for LPEL for LACC in Colombia. It is a safe, feasible, and useful procedure to identify para-aortic involvement.

Keywords : Uterine Cervical Cancer; Cancer Staging; Lymph Nodes; Lymph Node Excision; Laparoscopy; Extraperitoneal.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )