ArticleEJNMMI research2020
The flow-metabolism ratio might predict treatment response and survival in patients with locally advanced esophageal squamous cell carcinoma.
Article in EJNMMI research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- The prognostic value of pretreatment [European radiology · 2025Pooled it
- K-Means Clustering of HyperpolarisedCancers · 2025Article
- State-of-the-art imaging in oesophago-gastric cancer.The British journal of radiology · 2022Review
- Potential synergy between PSMA uptake and tumour blood flow for prediction of human prostate cancer aggressiveness.EJNMMI research · 2021Article
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundPerfusion CT can offer functional information about tumor angiogenesis, and
methodsTwenty-seven patients with pathologically proven ESCC were included. All patients had undergone perfusion CT and
resultsThe median overall survival (OS) and progression-free survival (PFS) were 18 and 11.6 months, respectively. FMR was significantly positively correlated with BF (r = 0.886, p < 0.001) and negatively correlated with SUVmax (r = - 0.547, p = 0.003) and TTP (r = - 0.462, p = 0.015) in the tumors. However, there was no significant correlation between perfusion and PET parameters. After dCRT, 14 patients (51.9%) were identified as responders, and another 13 were nonresponders. The BF and FMR of the responders were significantly higher than those of the nonresponders (42.05 ± 16.47 vs 27.48 ± 8.55, p = 0.007; 3.18 ± 1.15 vs 1.84 ± 0.65, p = 0.001). The ROC curves indicated that the FMR [area under the curve (AUC) = 0.846] was a better biomarker for predicting treatment response than BF (AUC = 0.802). Univariable Cox analysis revealed that of all imaging parameters, only the FMR was significantly correlated with overall survival (OS) (p = 0.015) and progression-free survival (PFS) (p = 0.017). Specifically, patients with a lower FMR had poorer survival. Multivariable analysis showed that after adjusting for age, clinical staging, and treatment response, the FMR remained an independent predictor of OS (p = 0.026) and PFS (p = 0.014).
conclusionsThe flow-metabolism mismatch demonstrated by a low FMR shows good potential in predicting chemoradiotherapy sensitivity and prognosis in ESCC.
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