Radiomics predicts clinical outcome in primary gastroesophageal junction adenocarcinoma treated by chemo/radiotherapy and surgery

Radiomic texture analysis can be used to stratify patients with GEJAC receiving trimodality therapy based on prognosis. The risk scoring system based on shape compactness and PDG shows a great potential for pre-treatment risk classification to guide surgical resection in locally advanced disease. Though in need of greater validation, these hypothesis-generating data could provide a unique platform of personalized oncologic care.