Radiomics research is rapidly growing in recent years, but more concerns on radiomics
reliability are also raised. This review attempts to update and overview the current status of …

Radiology (imaging) and imaging-guided interventions, which provide multi-parametric
morphologic and functional information, are playing an increasingly significant role in …

Background Deep learning is promising to predict treatment response. We aimed to
evaluate and validate the predictive performance of the CT-based model using deep …

Objectives To determine the value of radiomics in predicting lymph node (LN) metastasis in
resectable esophageal squamous cell carcinoma (ESCC) patients. Methods Data of 230 …

Background Nearly one third of patients undergoing neoadjuvant chemoradiotherapy
(nCRT) for locally advanced esophageal cancer have a pathologic complete response …

Background Radiomics is expected to improve the management of metastatic colorectal
cancer (CRC). We aimed at evaluating the impact of liver lesion contouring as a source of …

Combined 18F-FDG PET/CT Radiomics and Sarcopenia Score in Pr... : Clinical Nuclear
Medicine Combined 18F-FDG PET/CT Radiomics and Sarcopenia Score in Predicting …

The survival of oesophageal cancer is poor as most patients present with advanced disease.
Radiological staging of oesophageal cancer is complex but is fundamental to clinical …

Purpose Preoperative evaluation of lymph node metastasis (LNM) is the basis of
personalized treatment of locally advanced gastric cancer (LAGC). We aim to develop and …

Introduction To develop a radiomic‐based model to predict pathological complete response
(pCR) and outcome following neoadjuvant chemoradiotherapy (NACRT) in oesophageal …