Warburg's observation that cancer cells exhibit a high rate of glycolysis even in the presence
of oxygen (aerobic glycolysis) sparked debate over the role of glycolysis in normal and …

In this paper, we give a short introduction to machine learning and survey its applications in
radiology. We focused on six categories of applications in radiology: medical image …

BACKGROUND AND PURPOSE: Sensitivity, positive predictive value (PPV), and negative
predictive value (NPV) of conventional MR imaging in predicting glioma grade are not high …

What are lipid bodies? One of the problems in answering this apparently simple question is
that these macromolecular proteolipid assemblies can be relatively heterogeneous with …

In the post-genomic era, several profiling tools have been developed to provide a more
comprehensive picture of tumour development and progression. The global analysis of …

Abstract Totally Automatic Robust Quantitation in NMR (TARQUIN), a new method for the
fully automatic analysis of short echo time in vivo 1H Magnetic resonance spectroscopy is …

Localized proton magnetic resonance spectroscopy (MRS) of the human brain, first reported
more than 20 years ago, 1–3 is a mature methodology that is used clinically in many medical …

PURPOSE: To determine whether perfusion-weighted and proton spectroscopic MR
imaging can be used to differentiate high-grade primary gliomas and solitary metastases on …

Examination of tissue sections using desorption electrospray ionization (DESI)-MS revealed
phospholipid-derived signals that differ between gray matter, white matter, gliomas …

Proton spectroscopy can noninvasively provide useful information on brain tumor type and
grade. Short‐(30 ms) and long‐(136 ms) echo time (TE) 1H spectra were acquired from …