Recent advancements in computational power, machine learning, and artificial intelligence
technology have enabled automated evaluation of medical images to generate quantitative …

Multiparametric magnetic resonance imaging (mpMRI) is an indispensable tool in the
clinical workflow for the diagnosis and treatment planning of various diseases. Machine …

Objectives To establish and validate a radiomics nomogram for prediction of induction
chemotherapy (IC) response and survival in nasopharyngeal carcinoma (NPC) patients …

Background Recurrence is the major cause of mortality in patients with resected HCC.
However, without a standard approach to evaluate prognosis, it is difficult to select …

Background We aimed to identify a magnetic resonance imaging (MRI)-based model for
assessment of the risk of individual distant metastasis (DM) before initial treatment of …

Nasopharyngeal carcinoma (NPC) is one of the most common malignant tumours of the
head and neck, and improving the efficiency of its diagnosis and treatment strategies is an …

Radiomics is a promising technique for discovering image based biomarkers of therapy
response in cancer. Reproducibility of radiomics features is a known issue that is addressed …

Background Radiomics has been widely investigated for non-invasive acquisition of
quantitative textural information from anatomic structures. While the vast majority of radiomic …

Objectives Head and neck squamous cell carcinoma (HNSCC) shows a remarkable
heterogeneity between tumors, which may be captured by a variety of quantitative features …

Purpose This study aimed to investigate the predictive ability of magnetic resonance
imaging (MRI) based radiomics signature for the preoperative staging in HNSCC. Methods …