Glioblastoma multiforme (GBM) is the deadliest type of brain tumor, affecting approximately
three in 100,000 adults annually. Positron emission tomography (PET) imaging provides an …

This article, the first in a 2-part series, provides an introduction to machine learning (ML) in a
nuclear medicine context. This part addresses the history of ML and describes common …

Purpose The availability of automated, accurate, and robust gross tumor volume (GTV)
segmentation algorithms is critical for the management of head and neck cancer (HNC) …

Machine learning (ML) algorithms have found increasing utility in the medical imaging field
and numerous applications in the analysis of digital biomarkers within positron emission …

Amino-acid PET imaging is an efficient complementary tool to MRI for the assessment of
gliomas, principally for high-grade gliomas [1] and is now recommended by the Response …

Mutations in isocitrate dehydrogenase (IDH) represent an independent predictor of better
survival in patients with gliomas. We aimed to assess grade and IDH mutation status in …

Objective The role of amino acid positron emission tomography (PET) in glioma grading and
outcome prognostication has not yet been well established. This is particularly true in the …

Glioma are clinically challenging tumors due to their location and invasiveness nature,
which often hinder complete surgical resection. The evaluation of the isocitrate …

In recent years, artificial intelligence (AI) or the study of how computers and machines can
gain intelligence, has been increasingly applied to problems in medical imaging, and in …

2.1. Materials and methods All the solvents and reagents except precursor and anhydrous
ethanol were obtained from commercial suppliers and were used without further purification …