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Frontiers in Nutrition|May 24, 2021
Prognostic Impact of Muscle Quantity and Quality and Fat Distribution in Diffuse Large B-Cell Lymphoma PatientsGiulia Besutti, Fulvio Massaro, Efrem Bonelli, et al.
Seminars in Arthritis and Rheumatism|December 24, 2023
Effectiveness and safety of a 26-week taper regimen of glucocorticoid in GCA patients: Results from a prospective cohort studyFrancesco Muratore, Chiara Marvisi, Paola Castrignanò, et al.
RMD Open|December 31, 2024
Does tocilizumab eliminate inflammation in GCA? A cohort study on repeated temporal artery biopsiesCaterina Ricordi, Chiara Marvisi, Pierluigi Macchioni, et al.
Clinical Nuclear Medicine|January 22, 2015
Multicenter comparison of 18F-FDG and 68Ga-DOTA-peptide PET/CT for pulmonary carcinoidFilippo Lococo, Germano Perotti, Giuseppe Cardillo, et al.
European Journal of Nuclear Medicine and Molecular Imaging|December 23, 2017
Interpretation criteria for FDG PET/CT in multiple myeloma (IMPeTUs): final results. IMPeTUs (Italian myeloma criteria for PET USe)Cristina Nanni, Annibale Versari, Stephane Chauvie, et al.
The Quarterly Journal of Nuclear Medicine and Molecular Imaging : Official Publication of the Italian Association of Nuclear Medicine (AIMN) [And] the International Association of Radiopharmacology (IAR), [And] Section of the Society Of|September 3, 2015
Diagnostic performances of [18F]fluorocholine positron emission tomography in brain tumorsMartina Sollini, Roberto Sghedoni, Paola A Erba, et al.
European Journal of Nuclear Medicine and Molecular Imaging|June 7, 2014
Pretherapy metabolic tumour volume is an independent predictor of outcome in patients with diffuse large B-cell lymphomaMyriam Sasanelli, Michel Meignan, Corinne Haioun, et al.
Clinical and Experimental Rheumatology|May 4, 2017
Interleukin-6 and soluble interleukin-6 receptor are elevated in large-vessel vasculitis: a cross-sectional and longitudinal studyLia Pulsatelli, Luigi Boiardi, Elisa Assirelli, et al.
Computer Methods and Programs in Biomedicine|November 4, 2019
Texture analysis and multiple-instance learning for the classification of malignant lymphomasMarco Lippi, Stefania Gianotti, Angelo Fama, et al.
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