as a relatively important approach for image analysis now
consists in extracting a great amount of quantitative data from original images
which can be used to identify the actual nature of a pancreatic lesion and provide other information related with tumor grade
tumor response to therapy
resectability and survival rate after surgery. We reviewed and summarized the recent developments and the latest research of radiomics using computed tomography (CT) and magnetic resonance imaging (MRI) in the field of pancreatic neuroendocrine neoplasm and discussed the future development of radiomics.
Multi-region radiomics features from enhanced CT combined with clinical risk factors for preoperative prediction of lymphovascular invasion in colon cancer
Application value of multimodal imaging technology based on CT and MRI in the diagnosis and PRETEXT staging of childhood hepatoblastoma
The predictive value of CT radiomics model for immunotherapy efficacy in non-small cell lung cancer
Value of a multiparameter MRI radiomics nomogram for preoperative prediction of endometrial carcinoma risk stratification
Prediction of sentinel lymph node metastasis in breast cancer using multiparametric MRI radiomics and machine learning models
Related Author
Wanping LI
Wenbin ZHENG
Liya LU
Xiao YU
Yanan LI
Qiancheng LI
Tao XIN
Chenglong LI
Related Institution
Shantou University Medical School
Department of Radiology, Puning People's Hospital, Puning
Department of Radiology, The Second Affiliated Hospital of Shantou University Medical College
Department of Imaging, Xuzhou Children's Hospital
Department of Radiology, Huadong Hospital, Fudan University