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Textural features based enhanced contrast CT images predicts prognosis to concurrent chemoradiotherapy in stage III esophageal squamous cell cancer

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机构: [1]Department of Oncology, the First People’s Hospital of Jingmen, Jingmen, Hubei, China [2]Department of Radiation Oncology, Sichuan Cancer Hospital and Institution, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Radiation Oncology Key Laboratory of Sichuan, Chengdu, Sichuan, China
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INTRODUCTION: To study the relationship between the tumor heterogeneity based on CT and overall survival (OS) in oesophageal squamous cell carcinoma treated with chemotherapy and radiation therapy (CRT). METHODS: Fifty-seventh clinical patients who underwent definitive CRT were analyzed. The results were analyzed in terms of whole-tumor texture, with quantification of entropy, mean gray-level intensity for fine to coarse textures (filters 1.0-2.5, respectively). The association between texture parameters and survival time was assessed by Kaplan-Meier analysis and a Cox proportional hazards model. RESULTS: The median, 1 and 3 years OS, were 20.2 months, 75.4%, and 32.1%. In the univariate analysis performed using the log-rank test found global entropies (P = 0.0119), global mean (P = 0.088), global Std (P = 0.0209), and global uniformity (P = 0.0284) were found to be significant OS prognostic factors for filter value 1.0. Cox proportional hazards models that included a combination of pretreatment GlobalStd and post-treatment volume yields the best performance in predicting OS. Kaplan-Meier curves show that the patients in the high-risk group have significantly worse OS (log-rank test, P = 0.0009) and progression-free survival (PFS) (log-rank test, P = 0.0019) than those in the low-risk group. CONCLUSION: Pretreatment texture parameters are associated with survival time, and the combination of post volume performed better in survival models.

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基金编号: 2019YFS0378 2018JY02 77 320.6750.17237 CAYC18A33

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出版当年[2020]版:
大类 | 4 区 医学
小类 | 4 区 肿瘤学
最新[2023]版:
大类 | 4 区 医学
小类 | 4 区 肿瘤学
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出版当年[2020]版:
Q2 ONCOLOGY
最新[2023]版:
Q3 ONCOLOGY

影响因子: 最新[2023版] 最新五年平均 出版当年[2020版] 出版当年五年平均 出版前一年[2019版] 出版后一年[2021版]

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第一作者机构: [1]Department of Oncology, the First People’s Hospital of Jingmen, Jingmen, Hubei, China
通讯作者:
通讯机构: [2]Department of Radiation Oncology, Sichuan Cancer Hospital and Institution, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Radiation Oncology Key Laboratory of Sichuan, Chengdu, Sichuan, China [*1]Department of Radiation Oncology, Sichuan Cancer Hospital and Institution, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
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