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ABSTRACT: Background
Predicting preoperative understaging in patients with clinical stage T1-2N0 (cT1-2N0) esophageal squamous cell carcinoma (ESCC) is critical to customizing patient treatment. Radiomics analysis can provide additional information that reflects potential biological heterogeneity based on computed tomography (CT) images. However, to the best of our knowledge, no studies have focused on identifying CT radiomics features to predict preoperative understaging in patients with cT1-2N0 ESCC. Thus, we sought to develop a CT-based radiomics model to predict preoperative understaging in patients with cT1-2N0 esophageal cancer, and to explore the value of the model in disease-free survival (DFS) prediction.Methods
A total of 196 patients who underwent radical surgery for cT1-2
SUBMITTER: Zhao B
PROVIDER: S-EPMC10722054 | biostudies-literature | 2023 Dec
REPOSITORIES: biostudies-literature