TY - JOUR
T1 - Magnetic Resonance Parkinsonism Index
T2 - diagnostic accuracy of a fully automated algorithm in comparison with the manual measurement in a large Italian multicentre study in patients with progressive supranuclear palsy
AU - Nigro, Salvatore
AU - Arabia, Gennarina
AU - Antonini, Angelo
AU - Weis, Luca
AU - Marcante, Andrea
AU - Tessitore, Alessandro
AU - Cirillo, Mario
AU - Tedeschi, Gioacchino
AU - Zanigni, Stefano
AU - Calandra-Buonaura, Giovanna
AU - Tonon, Caterina
AU - Pezzoli, Gianni
AU - Cilia, Roberto
AU - Zappia, Mario
AU - Nicoletti, Alessandra
AU - Cicero, Calogero Edoardo
AU - Tinazzi, Michele
AU - Tocco, Pierluigi
AU - Cardobi, Nicolò
AU - Quattrone, Aldo
PY - 2016/10/19
Y1 - 2016/10/19
N2 - Objectives: To investigate the reliability of a new in-house automatic algorithm for calculating the Magnetic Resonance Parkinsonism Index (MRPI), in a large multicentre study population of patients affected by progressive supranuclear palsy (PSP) or Parkinson’s disease (PD), and healthy controls (HC), and to compare the diagnostic accuracy of the automatic and manual MRPI values. Methods: The study included 88 PSP patients, 234 PD patients and 117 controls. MRI was performed using both 3T and 1.5T scanners. Automatic and manual MRPI values were evaluated, and accuracy of both methods in distinguishing PSP from PD and controls was calculated. Results: No statistical differences were found between automated and manual MRPI values in all groups. The automatic MRPI values differentiated PSP from PD with an accuracy of 95 % (manual MRPI accuracy 96 %) and 97 % (manual MRPI accuracy 100 %) for 1.5T and 3T scanners, respectively. Conclusion: Our study showed that the new in-house automated method for MRPI calculation was highly accurate in distinguishing PSP from PD. Our automatic approach allows a widespread use of MRPI in clinical practice and in longitudinal research studies. Key Points: • A new automatic method for calculating the MRPI is presented.• Automatic MRPI values are in good agreement with manual values.• Automatic MRPI can distinguish patients with PSP from patients with PD.• The automatic method overcomes MRPI application limitations in routine practice.• The automatic method may allow a more widespread use of MRPI.
AB - Objectives: To investigate the reliability of a new in-house automatic algorithm for calculating the Magnetic Resonance Parkinsonism Index (MRPI), in a large multicentre study population of patients affected by progressive supranuclear palsy (PSP) or Parkinson’s disease (PD), and healthy controls (HC), and to compare the diagnostic accuracy of the automatic and manual MRPI values. Methods: The study included 88 PSP patients, 234 PD patients and 117 controls. MRI was performed using both 3T and 1.5T scanners. Automatic and manual MRPI values were evaluated, and accuracy of both methods in distinguishing PSP from PD and controls was calculated. Results: No statistical differences were found between automated and manual MRPI values in all groups. The automatic MRPI values differentiated PSP from PD with an accuracy of 95 % (manual MRPI accuracy 96 %) and 97 % (manual MRPI accuracy 100 %) for 1.5T and 3T scanners, respectively. Conclusion: Our study showed that the new in-house automated method for MRPI calculation was highly accurate in distinguishing PSP from PD. Our automatic approach allows a widespread use of MRPI in clinical practice and in longitudinal research studies. Key Points: • A new automatic method for calculating the MRPI is presented.• Automatic MRPI values are in good agreement with manual values.• Automatic MRPI can distinguish patients with PSP from patients with PD.• The automatic method overcomes MRPI application limitations in routine practice.• The automatic method may allow a more widespread use of MRPI.
KW - Automatic segmentation
KW - Magnetic Resonance Parkinsonism Index
KW - Neurodegenerative disease
KW - Parkinson’s disease
KW - Progressive supranuclear palsy
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U2 - 10.1007/s00330-016-4622-x
DO - 10.1007/s00330-016-4622-x
M3 - Article
AN - SCOPUS:84991758326
SP - 1
EP - 11
JO - European Radiology
JF - European Radiology
SN - 0938-7994
ER -