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The PET-Derived Tumor-to-Liver Standard Uptake Ratio (SUV(TLR)) Is Superior to Tumor SUVmax in Predicting Tumor Response and Survival After Chemoradiotherapy in Patients With Locally Advanced Esophageal Cancer
Background: The maximum standardized uptake values (SUVmax) derived from (18)F-fluorodeoxy-glucose positron emission tomography/computed tomography ((18)F-FDG PET/CT) have some well-known shortcomings in predicting treatment response and prognosis in oncology. The standardized SUVmax with an appropr...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7494965/ https://www.ncbi.nlm.nih.gov/pubmed/33014819 http://dx.doi.org/10.3389/fonc.2020.01630 |
Sumario: | Background: The maximum standardized uptake values (SUVmax) derived from (18)F-fluorodeoxy-glucose positron emission tomography/computed tomography ((18)F-FDG PET/CT) have some well-known shortcomings in predicting treatment response and prognosis in oncology. The standardized SUVmax with an appropriate reference background may overcome this problem in some instances. This study explored the prognostic value of the tumor-to-liver SUVmax ratio (SUV(TLR)) and the tumor-to-blood pool SUVmax ratio (SUV(TBR)) in predicting the objective response (OR) and overall survival (OS) in patients with locally advanced esophageal cancer after concurrent chemoradiotherapy (CCRT). Methods: We retrospectively analyzed 128 newly diagnosed esophageal squamous cell carcinoma (ESCC) patients who were treated with CCRT. The SUVmax of primary tumor, SUV(TLR), SUV(TBR) and clinicopathologic features data were analyzed. Univariate and multivariate analyses were used to determine the predictors of tumor response. Survival analysis was performed using the Kaplan–Meier method and Cox proportional hazards model. Results: Receiver operating characteristic (ROC) curve analysis demonstrated that SUV(TLR) was superior to SUVmax and SUV(TBR) in predicting treatment response. Univariate and multivariate analyses revealed that advanced tumor stage (hazard ratio [HR] = 9.67; 95% CI: 1.15-81.28; P = 0.037) and high SUV(TLR) (HR = 21.92; 95% CI: 2.26-212.96; P = 0.008) were independent predictors of poor treatment response. Cox regression analysis showed that good clinical tumor response (p < 0.014, HR =0.501; 95% CI: 0.288–0.871) was a favorable independent predictive factor for OS, while an advanced tumor stage (p = 0.018, HR = 1.796; 95% CI: 1.107-2.915) and a high SUV(TLR) (p < 0.002, HR = 2.660; 95% CI: 1.425–4.967) were prognostic factors for poor OS. The median OS of patients in the low SUV(TLR) and high SUV(TLR) groups was 13.47 vs. 19.30 months, respectively. Conclusions: PET-derived SUV(TLR) is superior to tumor SUVmax and SUV(TBR) in predicting treatment response and overall survival in patients with ESCC undergoing CCRT. High SUV(TLR) was an independent predictor of poor treatment response and shorter overall survival. |
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