ESTRO meets Asia 2024 - Abstract Book

S274

Interdisciplinary – Upper GI

ESTRO meets Asia 2024

Patients with ESCC undergoing nCRT were prospectively and retrospectively enrolled from three institutions and divided into training and testing cohorts based on their institution of origin. Radiomics features were extracted from pre-treatment CT, T2, and DWI scans. Feature selection was conducted using the Mann-Whitney U test and LASSO with cross-validation. Multiple radiomics models were developed, both single modality and integrated, using machine learning algorithms. The models' performance was assessed using Receiver Operating Characteristic curve analysis, with the area under the curve (AUC) as a primary metric, alongside sensitivity and specificity from cut-off analysis.

Results:

The study involved 151 patients. The training cohort consisted of 89 patients from Institution 1 (median age 62, 73 males) and the testing cohort included 52 patients from Institution 2 (median age 62, 41 males) and 10 from Institution 3 (median age 69, 9 males). The integrated model, combining traditional and deep learning radiomics features from CT, T2, and DWI scans, demonstrated best performance with an AUC of 0.868 (95%CI 0.766-0.959), sensitivity of 88% (95%CI 73.9-100), and specificity of 78.4% (95%CI 63.6-90.2) in the testing cohort. This model outperformed single-modality models and the clinical model.

Conclusion:

A multimodal deep learning radiomics model, utilizing CT, T2, and DWI images, was developed and validated for accurately predicting pCR of ESCC following nCRT.

Keywords: radiomics, response, esophagus

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Digital Poster

Effects of local combined with systemic therapy on advanced esophageal cancer: a meta-analysis

Jianrui Ji 1 , Yunsong Liu 1 , Yongxing Bao 1 , Yu Men 2 , Jun Wang 3 , Zhouguang Hui 2

1 Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. 2 Department of VIP Medical Services, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. 3 Department of Radiation Oncology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China

Purpose/Objective:

Initial studies investigating the combination of local and systemic treatments in advanced esophageal cancer (EC) have conflicting conclusions regarding survival benefits. The object of this systematic review and meta-analysis is to assess the efficacy of addition of local therapy to systemic treatments in patients with advanced EC.

Material/Methods: