Abstract
In patients with parkinsonian syndromes, and particularly during the early stages of the clinical disease, differentiating between idiopathic Parkinson’s disease and progressive supranuclear palsy is challenging. Imaging plays an important role in early diagnosis, and the magnetic resonance parkinsonism index was shown to reliably differentiate between the two entities. Calculation of the index is a time-consuming process. We developed an algorithm allowing its automatic calculation based on 3D T1-weighted images, producing additional color-coded images for verification.
References
Chefd’hotel C, Hermosillo G, Faugeras O (2002) Flows of diffeomorphisms for multi-modal image registration. In: Proceedings IEEE International Symposium on Biomedical Imaging, pp 753–756
Quattrone A, Nicoletti G, Messina D, Fera F, Condino F, Pugliese P, Lanza P, Barone P, Morgante L, Zappia M, Aguglia U, Gallo O (2008) MR imaging index for differentiation of PSP from Parkinson disease and the Parkinson variant of multiple system atrophy. Radiology 246:214–221
Morelli M, Arabia G, Salsone M, Novellino F, Giofrè L, Paletta R, Messina D, Nicoletti G, Condino F, Gallo O, Lanza P, Quattrone A (2011) Accuracy of magnetic resonance parkinsonism index for differentiation of PSP from probable or possible Parkinson disease. Mov Disord 26:527–533
Morelli M, Arabia G, Novellino F, Salsone M, Giofrè L, Condino F, Messina D, Quattrone A (2011) MRI measurements predict PSP in unclassifiable parkinsonisms: a cohort study. Neurology 77:1042–1047
Quattrone A, Morelli M, Williams DR et al (2016) MR parkinsonism index predicts vertical supranuclear gaze palsy in patients with PSP-parkinsonism. Neurology 87:1266–1273
Nigro S, Morelli M, Arabia G, Nisticò R, Novellino F, Salsone M, Rocca F, Quattrone A (2017) Magnetic resonance parkinsonism index and midbrain to pons ratio: which index better distinguishes PSP patients with a low degree of diagnostic certainty from patients with a low degree of diagnostic certainty from patients with Parkinson disease? Parkinsonism Relat Disord 41:31–36
Nigro S, Arabia G, Antonini A et al (2017) Magnetic resonance parkinsonism index: 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. Eur Radiol 27:2665–2675
Funding
No funding was received for this study.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Ethical approval
Institutional review board approval (number 2016-01-821) was obtained for this study. All procedures performed involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.
Informed consent
Individual written consent was waived.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Scheffler, M., Maréchal, B., Boto, J. et al. A method for fast automated assessment of the magnetic resonance parkinsonism index. Neuroradiology 62, 747–751 (2020). https://doi.org/10.1007/s00234-020-02380-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00234-020-02380-5