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Prognostic values of mid-radiotherapy 18F-FDG PET/CT in patients with esophageal cancer

Other Titles
 식도암 환자에서 방사선 치료 중 18F-FDG PET/CT의 임상적 의의 
Authors
 김나리 
Issue Date
2018
Description
의학과
Abstract
Purpose: To identify whether early metabolic responses as determined using 18F-fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) during radiotherapy (RT) predict outcomes in patients with esophageal cancer. Materials and Methods: Twenty-one patients with esophageal cancer who received pre-treatment 18F-FDG PET/CT (PET1) and mid-radiotherapy 18F-FDG PET/CT (PET2) after 11 fractions of RT (median 23.1 Gy, 2.1 Gy per fraction) were retrospectively reviewed. The region of interest for each calculation was delineated using “PET Edge”. We calculated PET parameters including maximum and mean standardized uptake values (SUVmax and SUVmean, respectively), metabolic tumor volume (MTV), and total lesion glycolysis (TLG). Results: After a median follow-up of 13 months, the 1-year overall and progression-free survival rates were 79.0% and 34.4%, respectively. Four patients developed locoregional recurrences (LRRs) and 8 had distant metastases (DMs). The 1-year overall LRR-free rate was 76.9% while the DM-free rate was 60.6%. The relative changes in MTV (ΔMTV) were significantly associated with LRR (p = 0.03). Conversely, the relative changes in SUVmean (ΔSUVmean) were associated with the risk of DM (p = 0.02). An ΔMTV threshold of 1.14 yielded a sensitivity of 60%, specificity of 94%, and an accuracy of 86% for predicting an LRR. Additionally, a ΔSUVmean threshold of a 35% decrease yielded a sensitivity of 67%, specificity of 83%, and accuracy of 76% for the prediction DM. Conclusion: Changes in tumor metabolism during RT could be to predict treatment responses, recurrences, and prognoses in patients with esophageal cancer.
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Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiation Oncology (방사선종양학교실) > 2. Thesis
Yonsei Authors
Kim, Nalee(김나리) ORCID logo https://orcid.org/0000-0003-4742-2772
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/166416
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