z-logo
open-access-imgOpen Access
Sentinel lymph node biopsy in oral cavity cancer using indocyanine green: A systematic review and meta-analysis
Author(s) -
Yongfeng Chen,
Qi Xiao,
Weina Zou,
Chengwan Xia,
Hongling Yin,
Yumei Pu,
Yuxin Wang,
Kai Zhang
Publication year - 2021
Publication title -
clinics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.618
H-Index - 61
eISSN - 1980-5322
pISSN - 1807-5932
DOI - 10.6061/clinics/2021/e2573
Subject(s) - medicine , sentinel lymph node , cochrane library , indocyanine green , meta analysis , confidence interval , odds ratio , diagnostic odds ratio , receiver operating characteristic , likelihood ratios in diagnostic testing , biopsy , lymph node , cancer , oncology , surgery , breast cancer
This meta-analysis was conducted to evaluate the value of indocyanine green (ICG) in guiding sentinel lymph node biopsy (SLNB) for patients with oral cavity cancer. An electronic database search (PubMed, MEDLINE, Cochrane Library, Embase, and Web of Science) was performed from their inception to June 2020 to retrieve clinical studies of ICG applied to SLNB for oral cavity cancer. Data were extracted from 14 relevant articles (226 patients), and 9 studies (134 patients) were finally included in the meta-analysis according to the inclusion and exclusion criteria. The pooled sentinel lymph node (SLN) sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were 88.0% (95% confidence interval [CI], 74.0-96.0), 64.0% (95% CI, 61.0-66.0), 2.45 (95% CI, 1.31-4.60), 0.40 (95% CI, 0.17-0.90), and 7.30 (95% CI, 1.74-30.68), respectively. The area under the summary receiver operating characteristic curve was 0.8805. In conclusion, ICG applied to SLNB can effectively predict the status of regional lymph nodes in oral cavity cancer.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom