This article is a comprehensive review of the basic background, technique, and clinical
applications of artificial intelligence (AI) and radiomics in the field of neuro-oncology. A …

The application of artificial intelligence (AI) is accelerating the paradigm shift towards patient-
tailored brain tumor management, achieving optimal onco-functional balance for each …

Objective Summarize evidence for use of advanced MRI techniques as monitoring
biomarkers in the clinic, and highlight the latest bench-to-bedside developments. Methods …

Fluorescence imaging (FI) in the second near-infrared region (NIR-II, 1000–1700 nm) has
attracted great attention for brain tumor imaging due to its deep penetration and high …

The aim of this review was to review the basic background, technique, and clinical
applications of arterial spin labeling in brain tumors. Arterial spin labeling is used for …

Over the past decade, there has been increasing interest in the use of diffusion-weighted
imaging of the salivary glands. Routine diffusion-weighted MR imaging module can …

Objectives To determine whether radiomics features derived from diffusion-weighted
imaging (DWI) and arterial spin labeling (ASL) can improve the differentiation between …

Simple Summary Glioma is the most common primary malignant tumor of the adult central
nervous system. Despite aggressive multimodal treatment, its prognosis remains poor …

Purpose To evaluate multi-parametric MR imaging using pseudo-continuous arterial-spin
labeling (pCASL) and diffusion-weighted imaging (DWI) in differentiating subtypes of parotid …

Objectives: To characterize salivary glands tumours with diffusion tensor imaging. Methods:
This study was conducted upon 53 patients (aged 18–81 years: mean 37 years) with …