BACKGROUND: We undertook a meta-analysis to evaluate the accuracy of (18)FDG PET-CT for diagnosis of distant metastases in lung cancer patients. METHODS: Studies about (18)FDG PET-CT for diagnosis of distant metastases in patients with lung cancer were systematically searched in the MEDLINE and EMBASE databases. We calculated sensitivities, specificities, positive likelihood ratios and negative likelihood ratios, and constructed summary receiver operating characteristic curves using bivariate regression models for (18)FDG PET-CT. RESULTS: Across 9 studies (780 patients), the sensitivity, specificity, positive likelihood ratio and negative likelihood ratio of (18)FDG PET-CT were 0.93 (95% confidence interval [CI] = 0.88-0.96), 0.96 (95% CI = 0.95-0.96), 28.4 (95% CI = 14.0-57.5), and 0.08 (95% CI = 0.02-0.37), respectively. Overall weighted area under the curve was 0.98 (95% CI = 0.96-0.99). CONCLUSION: (18)FDG PET-CT has excellent diagnostic performance for diagnosis of distant metastases in patients with lung cancer.
BACKGROUND: We undertook a meta-analysis to evaluate the accuracy of (18)FDG PET-CT for diagnosis of distant metastases in lung cancerpatients. METHODS: Studies about (18)FDG PET-CT for diagnosis of distant metastases in patients with lung cancer were systematically searched in the MEDLINE and EMBASE databases. We calculated sensitivities, specificities, positive likelihood ratios and negative likelihood ratios, and constructed summary receiver operating characteristic curves using bivariate regression models for (18)FDG PET-CT. RESULTS: Across 9 studies (780 patients), the sensitivity, specificity, positive likelihood ratio and negative likelihood ratio of (18)FDG PET-CT were 0.93 (95% confidence interval [CI] = 0.88-0.96), 0.96 (95% CI = 0.95-0.96), 28.4 (95% CI = 14.0-57.5), and 0.08 (95% CI = 0.02-0.37), respectively. Overall weighted area under the curve was 0.98 (95% CI = 0.96-0.99). CONCLUSION: (18)FDG PET-CT has excellent diagnostic performance for diagnosis of distant metastases in patients with lung cancer.
Authors: G Fernández-Pérez; R Sánchez-Escribano; A M García-Vicente; A Luna-Alcalá; J Ceballos-Viro; R C Delgado-Bolton; J C Vilanova-Busquets; P Sánchez-Rovira; M P Fierro-Alanis; R García-Figueiras; J E Alés-Martínez Journal: Clin Transl Oncol Date: 2017-12-18 Impact factor: 3.405
Authors: Timothy J Jaykel; Michael S Clark; Daniel A Adamo; Brain T Welch; Scott M Thompson; Jason R Young; Eric C Ehman Journal: J Thorac Dis Date: 2020-11 Impact factor: 2.895
Authors: Derek P Bergsma; Joseph K Salama; Deepinder P Singh; Steven J Chmura; Michael T Milano Journal: Front Oncol Date: 2017-09-19 Impact factor: 6.244