Scientific article
Meta-analysis
OA Policy
English

FDG PET-CT for the Detection of Occult Nodal Metastases in Head and Neck Cancer: A Systematic Review and Meta-Analysis

Published inCancers, vol. 16, no. 17, p. 2954
Publication date2024-08-24
First online date2024-08-24
Abstract

Because of an estimated 20–30% prevalence of occult lymph node (LN) metastases in patients with head and neck squamous cell carcinoma (HNSCC), neck dissection is often proposed, despite its potential morbidity. In this systematic review and meta-analysis, the diagnostic performance of FDG PET-CT in detecting occult LN metastases was evaluated in patients with clinically negative necks (cN0) and in whom histopathology of a neck dissection specimen served as gold standard. Overall, 16 studies out of 2062 screened on PubMed and EMBASE fulfilled the inclusion criteria (n = 1148 patients). Seven of these sixteen studies were split into two or three studies because they contained data that could be processed distinctly in our meta-analysis. For this reason, a total of 25 studies were identified and included in the analysis (n total = 1918 patients). The overall prevalence of metastatic nodes per patient was 22.67%. The pooled sensitivity, specificity, diagnostic odds ratios, and negative predictive value (NPV) were 0.71 (95%CI: 0.66–0.75), 0.90 (95%CI: 0.84–0.93), 20.03 (95%CI: 13.51–29.70), and 0.92 (95%CI: 0.89–0.95), respectively. The main causes of inter-study heterogeneity included different reference standards (evaluation per patient, per neck side, or per neck level). The current meta-analysis showed that FDG PET-CT has a high specificity and NPV for ruling out nodal involvement in cN0 necks, but a limited sensitivity.

Keywords
  • FDG PET-CT
  • Occult metastasis
  • Head and neck squamous cell carcinoma
  • Clinically node-negative neck (cN0)
Citation (ISO format)
GUEDJ, Danae et al. FDG PET-CT for the Detection of Occult Nodal Metastases in Head and Neck Cancer: A Systematic Review and Meta-Analysis. In: Cancers, 2024, vol. 16, n° 17, p. 2954. doi: 10.3390/cancers16172954
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Article (Published version)
Identifiers
Additional URL for this publicationhttps://www.mdpi.com/2072-6694/16/17/2954
Journal ISSN2072-6694
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Creation29/08/2024 14:32:40
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