Abstract Machine learning models have been increasingly considered to model head and
neck cancer outcomes for improved screening, diagnosis, treatment, and prognostication of …

Cancers, known collectively as head and neck cancers, usually begin in the squamous cells
that line the head and neck's mucosal surfaces, forming a tumour mass. It usually develops …

Objectives Recent studies have shown that deep learning based on pre-treatment positron
emission tomography (PET) or computed tomography (CT) is promising for distant …

Aim Despite a vast number of articles on radiomics and machine learning in positron
emission tomography (PET) imaging, clinical applicability remains limited, partly owing to …

Purpose PET-derived metabolic tumor volume (MTV) and total lesion glycolysis of the
primary tumor are known to be prognostic of clinical outcome in head and neck cancer …

Materials and Methods: In our nuclear medical facility, 122 BC patients (training and testing)
had 18 F-fluoro-D-glucose (18 F-FDG) PET/CT to identify the various subtypes of the …

Dès la conception, des facteurs environnementaux tels que la qualité de l'air ou les
habitudes alimentaires peuvent significativement influencer le risque de développer …

4 diagnostische Wertigkeit der Fluordesoxyglucose Positronenemissionstomographie (FDG
PET/CT) an einem Patientenkollektiv mit kindlichen Sarkomen untersucht. In einem weiteren …