Gastrointestinal cancer (GIC) has high morbidity and mortality as one of the main causes of
cancer death. Preoperative risk stratification is critical to guide patient management, but …

Background: Due to tumoral heterogeneity and the lack of robust biomarkers, the prediction
of chemoradiotherapy response and prognosis in patients with esophageal cancer (EC) is …

Objectives The aim of this study was to develop a preoperative positron emission
tomography (PET)-based radiomics model for predicting peritoneal metastasis (PM) of …

Background: Preservation of organ function is important in cancer treatment. The 'watch-and-
wait'strategy is an important approach in management of esophageal cancer. However …

Background More than 40% of patients with resectable esophageal squamous cell cancer
(ESCC) achieve pathological complete response (pCR) after neoadjuvant …

Radiomics can interpret radiological images with more detail and in less time compared to
the human eye. Some challenges in managing esophageal cancer can be addressed by …

Objectives To investigate the MRI radiomics signatures in predicting pathologic response
among patients with locally advanced esophageal squamous cell carcinoma (ESCC), who …

Purpose To evaluate and validate CT-based models using pre-and posttreatment deep
learning radiomics features and hematological biomarkers for assessing esophageal …

The best treatment strategy for oesophageal cancer patients achieving a complete clinical
response after neoadjuvant chemoradiation is a burning topic. The available diagnostic …

Purpose We aimed to integrate MR radiomics and dynamic hematological factors to build a
model to predict pathological complete response (pCR) to neoadjuvant chemoradiotherapy …