We conducted a comprehensive systematic review of the literature on volumetric parameters
and a meta-analysis of the prognostic value of metabolic tumor volume (MTV) and total …

Importance Head and neck squamous cell cancer (HNSCC) represents the seventh most
frequent cancer worldwide. More than half of the patients diagnosed with HNSCC are …

Purpose To evaluate the feasibility and repeatability of various metabolically active tumor
volume (MATV metabolically active tumor volume) quantification methods in fluorine 18 …

The role of metabolic tumor volume (MTV) and total lesion glycolysis (TLG) in head and neck
cancer (HNC) prognosis is not well established. We conducted a systematic review focusing …

Objective To assess the utility of deep learning analysis using 18 F-fluorodeoxyglucose
(FDG) uptake by positron emission tomography (PET/CT) to predict disease-free survival …

Background More than half of patients with tuberous sclerosis complex (TSC) suffer from
drug-resistant epilepsy (DRE), and resection surgery is the most effective way to control …

In this study, we investigate the use of imaging feature-based outcomes research
('radiomics') combined with machine learning techniques to develop robust predictive …

Squamous cell carcinoma is the most common malignant tumour of the head and neck. The
initial TNM staging, the evaluation of the tumour response during treatment, and the long …

Purpose Metabolic activity and hypoxia are both important factors characterizing tumor
aggressiveness. Here, we used F-18 fluoromisonidazole (FMISO) and F-18 …

Purpose Metabolic tumour volume (MTV) and total lesion glycolysis (TLG) from 18 F-FDG
PET/CT are emerging prognostic biomarkers in human solid cancers; yet few studies have …