Radiomics is a rapidly evolving field of research concerned with the extraction of quantitative
metrics—the so-called radiomic features—within medical images. Radiomic features capture …

With the continuous development of medical image informatics technology, more and more
high-throughput quantitative data could be extracted from digital medical images, which has …

Purpose Risk classification of primary prostate cancer in clinical routine is mainly based on
prostate-specific antigen (PSA) levels, Gleason scores from biopsy samples, and tumor …

Radiomic analysis of PET images is a promising approach to extract subtler information and
continuously evolves with advances in artificial intelligence. Using deep-learning methods …

Radiomic analysis has exponentially increased the amount of quantitative data that can be
extracted from a single image. These imaging biomarkers can aid in the generation of …

The sensitivity of radiomic features to several confounding factors, such as reconstruction
settings, makes clinical use challenging. To investigate the impact of harmonized image …

Objective To assess the performance of pretreatment 18F-fluorodeoxyglucose positron
emission tomography/computed tomography (18F-FDG PET/CT) radiomics features for …

This article reviews the current evolution and future directions in PET/CT technology
focusing on three areas: time of flight, image reconstruction, and data-driven gating. Image …

Radiation therapy is a pivotal cancer treatment that has significantly progressed over the last
decade due to numerous technological breakthroughs. Imaging is now playing a critical role …

Differentiating recurrent brain tumor from radiation necrosis is often difficult. This study aims
to investigate the efficacy of 11C-methionine (MET)-PET radiomics for distinguishing …