The malignant tumors in nature share some common morphological characteristics.
Radiomics is not only images but also data; we think that a probability exists in a set of …

Objectives To develop and validate a preoperative CT-based nomogram combined with
radiomic and clinical–radiological signatures to distinguish preinvasive lesions from …

Introduction This work describes the development of a novel radiomics phantom designed
for magnetic resonance imaging (MRI) that can be used in a multicenter setting. The …

Simple Summary The five-year survival rate of non-small-cell lung cancer (NSCLC), which
accounts for 85% of all lung cancer cases, is only 10–20%. A reliable prediction model of …

Advances in computerized image analysis and the use of artificial intelligence–based
approaches for image-based analysis and construction of prediction algorithms represent a …

Objective To assess the validity of pre-and posttreatment computed tomography (CT)-based
radiomics signatures and delta radiomics signatures for predicting progression-free survival …

Background In recent years, immune checkpoint inhibitor (ICI) therapy has greatly changed
the treatment prospects of patients with non-small cell lung cancer (NSCLC). Among the …

Purpose This study aims to develop a CT-based radiomics model to predict clinical
outcomes of advanced non-small-cell lung cancer (NSCLC) patients treated with nivolumab …

Simple Summary Despite recent advancements in lung cancer treatment, individuals with
lung cancer have a dismal 5-year survival rate of only 15%. In patients with non-small cell …

Objectives To compare computed tomography (CT)–based radiomics for preoperatively
differentiating type I and II epithelial ovarian cancers (EOCs) using different machine …