Abstract Purpose of Review This review will explore the latest in advanced imaging
techniques, with a focus on the complementary nature of multiparametric, multimodality …

Gliomas, a prevalent category of primary malignant brain tumors, pose formidable clinical
challenges due to their invasive nature and limited treatment options. The current …

Biomarker discovery and development are popular for detecting the subtle diseases.
However, biomarkers are needed to be validated and approved, and even fewer are ever …

Dynamic-susceptibility-contrast perfusion-weighted-imaging (DSC-PWI) is an MRI technique
that provides non-invasive in vivo assessment of microvascular environments. It consists of a …

Deep learning is a promising method for medical image analysis because it can
automatically acquire meaningful representations from raw data. However, a technical …

Purpose To evaluate the value of convolutional neural network (CNN) in the diagnosis of
human brain tumor or Alzheimer's disease by MR spectroscopic imaging (MRSI) and to …

Over the past decade, updated definitions for the different stages of prostate cancer and risk
for distant disease, along with the advent of new therapies, have remarkably changed the …

Our understanding of tumour biology has evolved over the past decades and cancer is now
viewed as a complex ecosystem with interactions between various cellular and non-cellular …

Objective To investigate the diagnostic performance of a multiparametric magnetic
resonance imaging (MRI) protocol comprising quantitative MRI (diffusion-weighted imaging …

This review addresses the challenges of primary central nervous system (CNS) lymphoma
diagnosis, assessment of treatment response, and detection of recurrence. Primary CNS …