Salvatore Nigro1, Maurizio Morelli2, Gennarina Arabia2, Rita Nisticò1, Fabiana Novellino1, Maria Salsone1, Federico Rocca1, Aldo Quattrone3. 1. Institute of Molecular Bioimaging and Physiology, National Research Council, 88100, Catanzaro, Italy. 2. Institute of Neurology, Department of Medical and Surgical Sciences, University "Magna Graecia", 88100, Catanzaro, Italy. 3. Institute of Molecular Bioimaging and Physiology, National Research Council, 88100, Catanzaro, Italy; Institute of Neurology, Department of Medical and Surgical Sciences, University "Magna Graecia", 88100, Catanzaro, Italy. Electronic address: quattrone@unicz.it.
Abstract
INTRODUCTION: Several studies have compared the performances of midbrain to pons area ratio (M/P) and the Magnetic Resonance Parkinsonism Index (MRPI) in distinguishing patients with Progressive Supranuclear Palsy (PSP) from those with Parkinson's disease (PD) with conflicting results. The current study aimed to compare the performance of these indexes in a well-characterized sample of PSP patients using either a manual or a fully automated approach to measure the brainstem structures involved in M/P and MRPI calculation. METHODS: This study involved 179 patients affected by idiopathic PD, 35 patients affected by PSP (15 probable and 20 possible) and 87 healthy controls. Sensitivity, specificity, positive predictive value (PPV) and area under the curve (AUC) of MRPI and M/P in distinguishing possible and probable PSP from PD and controls were calculated. RESULTS: No significant difference was found between manual and automated values for both MRPI and M/P. MRPI and M/P differentiated probable PSP from PD with similar performance. By contrast, MRPI showed higher sensitivity and specificity than M/P when patients with possible PSP were compared with PD (MRPI, sensitivity 100%, specificity 98.88%; M/P, sensitivity 85%, specificity 93.85%). A significant difference was also observed in AUC between MRPI and M/P in distinguishing possible PSP from PD. CONCLUSION: Our study demonstrates that MRPI was more accurate than M/P, in differentiating patients with possible PSP from those with PD. In patients suspected of having PSP with a low level of clinic diagnostic accuracy, MRPI should be preferred to M/P for distinguishing these patients from PD.
INTRODUCTION: Several studies have compared the performances of midbrain to pons area ratio (M/P) and the Magnetic Resonance Parkinsonism Index (MRPI) in distinguishing patients with Progressive Supranuclear Palsy (PSP) from those with Parkinson's disease (PD) with conflicting results. The current study aimed to compare the performance of these indexes in a well-characterized sample of PSPpatients using either a manual or a fully automated approach to measure the brainstem structures involved in M/P and MRPI calculation. METHODS: This study involved 179 patients affected by idiopathic PD, 35 patients affected by PSP (15 probable and 20 possible) and 87 healthy controls. Sensitivity, specificity, positive predictive value (PPV) and area under the curve (AUC) of MRPI and M/P in distinguishing possible and probable PSP from PD and controls were calculated. RESULTS: No significant difference was found between manual and automated values for both MRPI and M/P. MRPI and M/P differentiated probable PSP from PD with similar performance. By contrast, MRPI showed higher sensitivity and specificity than M/P when patients with possible PSP were compared with PD (MRPI, sensitivity 100%, specificity 98.88%; M/P, sensitivity 85%, specificity 93.85%). A significant difference was also observed in AUC between MRPI and M/P in distinguishing possible PSP from PD. CONCLUSION: Our study demonstrates that MRPI was more accurate than M/P, in differentiating patients with possible PSP from those with PD. In patients suspected of having PSP with a low level of clinic diagnostic accuracy, MRPI should be preferred to M/P for distinguishing these patients from PD.
Authors: Salvatore Nigro; Angelo Antonini; David E Vaillancourt; Klaus Seppi; Roberto Ceravolo; Antonio P Strafella; Antonio Augimeri; Andrea Quattrone; Maurizio Morelli; Luca Weis; Eleonora Fiorenzato; Roberta Biundo; Roxana G Burciu; Florian Krismer; Nikolaus R McFarland; Christoph Mueller; Elke R Gizewski; Mirco Cosottini; Eleonora Del Prete; Sonia Mazzucchi; Aldo Quattrone Journal: Mov Disord Date: 2020-02-24 Impact factor: 10.338
Authors: Andrea Quattrone; Maria G Bianco; Angelo Antonini; David E Vaillancourt; Klaus Seppi; Roberto Ceravolo; Antonio P Strafella; Gioacchino Tedeschi; Alessandro Tessitore; Roberto Cilia; Maurizio Morelli; Salvatore Nigro; Basilio Vescio; Pier Paolo Arcuri; Rosa De Micco; Mario Cirillo; Luca Weis; Eleonora Fiorenzato; Roberta Biundo; Roxana G Burciu; Florian Krismer; Nikolaus R McFarland; Christoph Mueller; Elke R Gizewski; Mirco Cosottini; Eleonora Del Prete; Sonia Mazzucchi; Aldo Quattrone Journal: Mov Disord Date: 2022-04-11 Impact factor: 9.698
Authors: Andrea Quattrone; Maurizio Morelli; Maria G Bianco; Jolanda Buonocore; Alessia Sarica; Maria Eugenia Caligiuri; Federica Aracri; Camilla Calomino; Marida De Maria; Maria Grazia Vaccaro; Vera Gramigna; Antonio Augimeri; Basilio Vescio; Aldo Quattrone Journal: Brain Sci Date: 2022-07-20