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Sentinel lymph node biopsy in oral cavity cancer using indocyanine green: A systematic review and meta-analysis

Chen, Yongfeng ; Xiao, Qi ; Zou, Weina ; Xia, Chengwan ; Yin, Hongling ; Pu, Yumei ; Wang, Yuxin ; Zhang, Kai

Clinics (São Paulo, Brazil), 2021-01, Vol.76, p.e2573-e2573, Article e2573 [Periódico revisado por pares]

Elsevier España, S.L.U

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  • Título:
    Sentinel lymph node biopsy in oral cavity cancer using indocyanine green: A systematic review and meta-analysis
  • Autor: Chen, Yongfeng ; Xiao, Qi ; Zou, Weina ; Xia, Chengwan ; Yin, Hongling ; Pu, Yumei ; Wang, Yuxin ; Zhang, Kai
  • Assuntos: Indocyanine Green ; MEDICINE, GENERAL & INTERNAL ; Oral Cavity Cancer ; Review ; Sensitivity ; Sentinel Lymph Node Biopsy ; Specificity
  • É parte de: Clinics (São Paulo, Brazil), 2021-01, Vol.76, p.e2573-e2573, Article e2573
  • Notas: ObjectType-Article-2
    SourceType-Scholarly Journals-1
    ObjectType-Feature-1
    content type line 23
    ObjectType-Undefined-3
    Contributed equally to this work.
  • Descrição: 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.
  • Editor: Elsevier España, S.L.U
  • Idioma: Inglês;Português
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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