A Systematic Review of the Predictive Value of 18FDG-PET in Esophageal and Esophagogastric Junction Cancer After Neoadjuvant Chemoradiation on the Survival Outcome Stratification |
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Authors: | Pascaline Schollaert Ralph Crott Claude Bertrand Lionel D’Hondt Thierry Vander Borght Bruno Krug |
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Affiliation: | 1. Nuclear Medicine Division, CHU UCL Mont-Godinne – Dinant, Université Catholique de Louvain, 1 Dr Therasse, 5530, Yvoir, Belgium 2. Institute of Health and Society, Université Catholique de Louvain, Brussels, Belgium 3. Surgery, CHU UCL Mont-Godinne – Dinant, Université Catholique de Louvain, Yvoir, Belgium 4. Oncology, CHU UCL Mont-Godinne – Dinant, Université Catholique de Louvain, Yvoir, Belgium
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Abstract: | Purpose We studied the predictive value of [18?F]fluorodeoxyglucose-positron emission tomography (18FDG-PET) for assessing disease-free (DFS) and overall survival (OS) in esophageal and esophagogastric junction cancer. Materials and methods A literature search (PUBMED/MEDLINE, EMBASE, Cochrane) was performed to identify full papers with 18FDG-PET and survival data, using indexing terms and free text words. Studies with >10 patients with locally advanced esophageal cancer, presenting sequential or at least one post-adjuvant treatment 18FDG-PET data and Kaplan–Meier survival curves with >6 months median follow-up period were included. We performed a meta-analysis for DFS and OS using the hazard ratio (HRs) as outcome measure. Sources of heterogeneity study were also explored. Results We identified 26 eligible studies including a total of 1,544 patients (average age 62 years, 82 % males). The TNM distribution was as follows: stage I 7 %, II 24 %, III 53 % and IV 15 %. The pooled HRs for complete metabolic response versus no response were 0.51 for OS (95 % CI, 0.4–0.64; P?0.00001) and 0.47 for DFS (95 % CI, 0.38–0.57; P?0.00001), respectively. No statistical heterogeneity was present. To explore sources of clinical heterogeneity, we also realised subgroup and regression analyses. Taken into account the moderate correlation between OS and DFS (ρ?=?0.54), we used joint bivariate random regression model. These analyses did not show a statistically significant impact of study characteristics and PET modalities on the pooled outcome estimates. Conclusion Despite methodological and clinical heterogeneity, metabolic response on 18FDG-PET is a significant predictor of long-term survival data. |
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