Lung cancer is the second most common cancer and the leading cause of cancer-related
death worldwide. Molecular imaging using [18 F] fluorodeoxyglucose Positron Emission …

Background: Although many works have supported the utility of PET radiomics, several
authors have raised concerns over the robustness and replicability of the results. This study …

Background and purpose Recurrence is the main risk for high-grade serous ovarian cancer
(HGSOC) and few prognostic biomarkers were reported. In this study, we proposed a novel …

Radiomics is an upcoming field in nuclear oncology, both promising and technically
challenging. To summarize the already undertaken work on supradiaphragmatic neoplasia …

Purpose To explore prognostic and predictive values of a novel quantitative feature set
describing intra-tumor heterogeneity in patients with lung cancer treated with concurrent and …

Introduction: Radiomics extracts a large amount of quantitative information from medical
images using specific data characterization algorithms. This information, called radiomic …

We identified computational imaging features on 18F-fluorodeoxyglucose positron emission
tomography (PET) that predict recurrence/progression in non–small cell lung cancer …

Objective The aim of this study was to perform a systematic review of the prognostic value of
texture parameters derived by 18 F-fluorodeoxyglucose positron emission tomography (18 F …

Purpose High-grade serous ovarian cancer (HGSOC) is aggressive and has a high mortality
rate. A Vit-based deep learning model was developed to predicting overall survival in …

Positron emission tomography (PET), a functional and dynamic molecular imaging
technique, is generally used to reveal tumors' biological behavior. Radiomics allows a high …