Diagnostic Accuracy of [18F]FDG PET/MRI in Head and Neck Squamous Cell Carcinoma: A Systematic Review and Metaanalysis
Articolo
Data di Pubblicazione:
2024
Citazione:
Diagnostic Accuracy of [18F]FDG PET/MRI in Head and Neck Squamous Cell Carcinoma: A Systematic Review and Metaanalysis / Al-Ibraheem, A.; Abdlkadir, A.; Herrmann, K.; Bomanji, J.; Jadvar, H.; Shi, H.; Mansour, A.; Paez, D.; Chiti, A.; Scott, A. M.. - In: THE JOURNAL OF NUCLEAR MEDICINE. - ISSN 0161-5505. - 65:10(2024), pp. 1533-1539. [10.2967/jnumed.124.268049]
Abstract:
This study evaluates the diagnostic utility of PET/MRI for primary, locoregional, and nodal head and neck squamous cell carcinoma (HNSCC) through systematic review and metaanalysis. Methods: A systematic search was conducted using PubMed and Scopus to identify studies on the diagnostic accuracy of PET/MRI for HNSCC. The search included specific terms and excluded nonhybrid PET/MRI studies, and those with a sample size of fewer than 10 patients were excluded. Results: In total, 15 studies encompassing 638 patients were found addressing the diagnostic test accuracy for PET/MRI within the chosen subject domain. Squamous cell carcinoma of the nasopharynx was the most observed HNSCC subtype (n 5 198). The metaanalysis included 12 studies, with pooled sensitivity and specificity values of 93% and 95% per patient for primary disease evaluation, 93% and 96% for locoregional evaluation, and 89% and 98% per lesion for nodal disease detection, respectively. An examination of a subset of studies comparing PET/MRI against PET/CT or MRI alone for evaluating nodal and locoregional HNSCC found that PET/MRI may offer slightly higher accuracy than other modalities. However, this difference was not statistically significant. Conclusion: PET/MRI has excellent potential for identifying primary, locoregional, and nodal HNSCC.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
head and neck squamous cell carcinoma; HNSCC; metaanalysis; PET/MRI; [; 18; F]FDG
Elenco autori:
Al-Ibraheem, A.; Abdlkadir, A.; Herrmann, K.; Bomanji, J.; Jadvar, H.; Shi, H.; Mansour, A.; Paez, D.; Chiti, A.; Scott, A. M.
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