Multicenter validation of [F]-FDG PET and support-vector machine discriminant analysis in automatically classifying patients with amyotrophic lateral sclerosis versus controls.

Objective: F-Fluorodeoxyglucose (F-FDG) positron emission tomography (PET) single-center studies using support vector machine (SVM) approach to differentiate amyotrophic lateral sclerosis (ALS) from controls have shown high overall accuracy on an individual patient basis using local a priori defined classifiers. The aim of the study was to validate the SVM accuracy on a multicentric level.

Methods: A previously defined Belgian (BE) group of 175 ALS patients (61.

18F-FDG PET/CT and MRI of a Mediastinal Malignant Granular Cell Tumor With Associated Recurrent Pericarditis.

We report a rare case of a mediastinal malignant granular cell tumor in a 41-year-old man presenting with dyspnea, retrosternal chest pain, and recurrent pericardial effusion under treatment with corticosteroids. Because of recurrent episodes, further investigations with chest MRI and F-FDG PET/CT revealed a large infiltrating and strongly hypermetabolic mass in the mediastinum with pericarditis. Histopathology and immunohistochemical analysis showed large cells with greater pleomorphism and eosinophilic granular cytoplasm with positive staining for S100 protein and CD68 as well as high Ki67 proliferative index (15%) confirming the diagnosis of a malignant granular cell tumor.

Metabolic and morphological measurements of subcutaneous and visceral fat and their relationship with disease stage and overall survival in newly diagnosed pancreatic adenocarcinoma : Metabolic and morphological fat measurements in pancreatic adenocarcinoma.

Purpose: The relationship between tumor metabolism and stage, subcutaneous and visceral fat thickness, and their glucose metabolism and overall survival in patients recently diagnosed with pancreatic carcinoma was assessed.

Methods: Thirty-eight consecutive patients were studied. Subcutaneous fat thickness (SFT), visceral fat thickness (VFT), and their corresponding FDG SUVmean, as well as SUVmean and SUVmax values of the primary tumor (PT) were derived from FDG-PET CT imaging.

False-Positive Axillary Lymph Nodes Due to Silicone Adenitis on (18)F-FDG PET/CT in an Oncological Setting.

The case of a 49-year-old transgender individual with a history of bilateral silicone breast implants and a right lung mass proven by biopsy to be a non-small cell lung cancer is presented. In addition to the primary malignancy, a positron emission tomography/computed tomography scan showed contralateral hypermetabolic adenopathy in the left axilla that was suggestive of nodal metastatic disease. Additional imaging and histological examination of the lymph nodes indicated silicone breast implant leakage and silicone adenitis as the underlying cause of the hypermetabolic axillary lymph node.