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Associations between GLUT expression and SUV values derived from FDG-PET in different tumors—A systematic review and meta analysis | PLOS ONE
Diagnostic Significance of 18F-FDG PET/CT Imaging Coupled with Magnetic Resonance Imaging of the Entire Body for Bone Metastases
Frontiers | Diagnostic Value of FDG PET-CT Quantitative Parameters and Deauville-Like 5 Point-Scale in Predicting Malignancy of Focal Thyroid Incidentaloma
Sequential delayed [18 F]FDG PET/CT examinations in the pharynx | Scientific Reports
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Molecular imaging to identify patients with metastatic breast cancer who benefit from endocrine treatment combined with cyclin-dependent kinase inhibition - ScienceDirect
A new role of SUVmax on FDG PET-CT as an identifier of the tumor in the era of AI | Journal of Nuclear Medicine
Outils de quantification pour l'imagerie TEP au FDG
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Lung Adenocarcinoma Manifesting as Ground-Glass Opacity Nodules 3 cm or Smaller: Evaluation With Combined High-Resolution CT and
Large Decreases in Standardized Uptake Values After Definitive Radiation Are Associated with Better Survival of Patients with Locally Advanced Non–Small Cell Lung Cancer | Journal of Nuclear Medicine
Pre-treatment maximum standardized uptake value predicts outcome after frontline therapy in patients with advanced stage follicular lymphoma | Haematologica
Outils de quantification pour l'imagerie TEP au FDG
A) 18 FDG-PET scan showing three hypermetabolic nodular lung lesions... | Download Scientific Diagram
Mean SUV max of liver according to the different BMI | Download Table
Standardized uptake value - Wikipedia
PET Scans in Cancer Cases
Mean SUV max of liver according to the different BMI | Download Table
Outils de quantification pour l'imagerie TEP au FDG
Frontiers | A Preliminary Study to Use SUVmax of FDG PET-CT as an Identifier of Lesion for Artificial Intelligence
Changes in SUV max with lesions with borderline values for malignancy | Download Table
SUVmax described in FDG PET-CT reports can provide information of lesion location: an investigation of real-world data | Journal of Nuclear Medicine