Use of a sentinel lymph node biopsy algorithm in a South African population of patients with cervical cancer and high prevalence of human immunodeficiency virus infection Journal Article

   


Authors: Snyman, L. C.; Bryant, E. P.; Wethmar, E. I.; de Greve, T.; Reyneke, F.; Sathekge, M. M.; Lindeque, B. G.; Abu-Rustum, N. R.
Article Title: Use of a sentinel lymph node biopsy algorithm in a South African population of patients with cervical cancer and high prevalence of human immunodeficiency virus infection
Abstract: Cervical cancer is common in resource-poor settings with high prevalence of tuberculosis, pelvic inflammatory disease, and human immunodeficiency virus (HIV) infection. There are no data regarding the sentinel lymph node (SLN) algorithm in these highrisk cancer populations. Our objectives were to establish the sensitivity, specificity, positivepredictive value, and negative predictive value of the SLN algorithm in cervical cancer and to compare the detection rate of indocyanine green (ICG) versus blue dye versus technetium Tc 99m nanocolloid (99mTc). © 2018 by IGCS and ESGO.
Keywords: cervical cancer; sln; hiv infection; sentinel lymph node biopsy algorithm
Journal Title: International Journal of Gynecological Cancer
Volume: 28
Issue: 7
ISSN: 1048-891X
Publisher: Lippincott Williams & Wilkins  
Date Published: 2018-09-01
Start Page: 1432
End Page: 1437
Language: English
DOI: 10.1097/igc.0000000000001310
PROVIDER: scopus
PUBMED: 30036220
PMCID: PMC6639793
DOI/URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052700175&doi=10.1097%2fIGC.0000000000001310&partnerID=40&md5=55cacec1943e456b1d620f23c3177e82
Notes: Article -- Export Date: 1 October 2018 -- Source: Scopus
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MSK Authors
  1. Nadeem Abu-Rustum
    888 Abu-Rustum
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