Accuracy of magnetic resonance parkinsonism index for differentiation of progressive supranuclear palsy from probable or possible Parkinson disease

Morelli, Maurizio; Arabia, Gennarina; Salsone, Maria; Novellino, Fabiana; Giofrè, Laura; Paletta, Rosina; Messina, Demetrio; Nicoletti, Giuseppe; Condino, Francesca; Gallo, Olivier; Lanza, P.; Quattrone, Aldo

doi:10.1002/mds.23529

Cited by 91 publications

(132 citation statements)

References 30 publications

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“…A study published in early 2014 by Morelli et al found that whereas the ratio of mid-sagittal diameter of midbrain:pons could be influenced by aging and/or extent of disease, the MRPI was not [60]. They, therefore, concluded the MRPI to be a more reliable index than the midbrain:pons ratio for differentiating PSP from PD and controls in the elderly population [61].…”

Section: Neuroimagingmentioning

confidence: 89%

Pathophysiology, genetics, clinical features, diagnosis and therapeutic trials in progressive supranuclear palsy

Bluett

Litvan

2015

Expert Opinion on Orphan Drugs

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Section: Neuroimagingmentioning

confidence: 89%

Pathophysiology, genetics, clinical features, diagnosis and therapeutic trials in progressive supranuclear palsy

Bluett

Litvan

2015

Expert Opinion on Orphan Drugs

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“…Seventeen of the 23 patients had a humming bird sign. Sixteen patients had the midbrain-to-pons area ratio lower than the proposed cut off value for diagnosis of PSP (≤0.195) [7]. However, no patient had a hot cross bun sign, pontine atrophy, cerebellar atrophy, and atrophy or high signal intensities in the middle cerebellar peduncle (online suppl.…”

Section: Resultsmentioning

confidence: 99%

“…Brain MRI scans were assessed for the midbrain-to-pons area ratio, humming bird sign, hot cross bun sign, pontine atrophy, cerebellar atrophy, and atrophy or high signal intensities in the middle cerebellar peduncle [7]. Using FLAIR MRI images, Schelten’s scores were measured to quantify arteriosclerotic periventricular and deep white matter changes [8].…”

Section: Methodsmentioning

confidence: 99%

Parkinsonian Patients with Striatal Cribriform State Present Rapidly Progressive Axial Parkinsonism

et al. 2017

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Objective: To define the significance of striatal cribriform state (SCS) observed in patients with primary progressive parkinsonism. Methods: We reviewed medical records and brain magnetic resonance imaging studies of 1,260 patients with primary progressive parkinsonism. We identified 23 patients with SCS and analyzed their clinical features. Results: All 23 patients had rapidly progressive parkinsonism predominated by postural instability and gait disturbance. Clinical features of 18 of the 23 patients were compatible with progressive supranuclear palsy (PSP); 2 patients were compatible with parkinsonian type multiple system atrophy; 2 patients were compatible with mixed clinical features of both; and 1 patient had PSP-like clinical features. Conclusions: Most parkinsonian patients with SCS present rapidly progressive parkinsonism predominated by postural instability and gait disturbance. SCS observed in patients with parkinsonism does not seem to be a coincidental finding associated with the generalized cerebrovascular process.

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“…This is a numeric score calculated by multiplying two structural ratios: one for the area of the pons relative to that of the mid-395 brain and the other for the width of the Middle Cerebellar Peduncle relative to the width of the Superior Cerebellar Peduncle. The score is used to diagnose PD based on neuroimaging data [Morelli et al, 2011].…”

Section: Parkinson's Diseasementioning

confidence: 99%

SKIMMR: Facilitating knowledge discovery in life sciences by machine-aided skim reading

Nováček

Burns

2014

Preprint

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Background: Unlike full reading, 'skim-reading' involves the process of looking quickly over information in an attempt to cover more material whilst still being able to retain a superficial view of the underlying content. Within this work, we specifically emulate this natural human activity by providing a dynamic graph-based view of entities automatically 10 extracted from text. For the extraction, we use shallow parsing, co-occurrence analysis and semantic similarity computation techniques. Our main motivation is to assist biomedical researchers and clinicians in coping with increasingly large amounts of potentially relevant articles that are being published ongoingly in life sciences. Methods: To construct the high-level network overview of articles, we extract weighted 15 binary statements from the text. We consider two types of these statements, co-occurrence and similarity, both organised in the same distributional representation (i.e., in a vectorspace model). For the co-occurrence weights, we use point-wise mutual information that indicates the degree of non-random association between two co-occurring entities. For computing the similarity statement weights, we use cosine distance based on the relevant 20 co-occurrence vectors. These statements are used to build fuzzy indices of terms, statements and provenance article identifiers, which support fuzzy querying and subsequent result ranking. These indexing and querying processes are then used top construct a graphbased interface for searching and browsing entity networks extracted from articles, as well as articles relevant to the networks being browsed. 25Results: We provide a web-based prototype (called 'SKIMMR') that generates a network of inter-related entities from a set of documents which a user may explore through our interface. When a particular area of the entity network looks interesting to a user, the tool displays the documents that are most relevant to those entities of interest currently shown in the network. We present this as a methodology for browsing a collection of 30 research articles. To illustrate the practical applicability of SKIMMR, we present examples of its use in the domains of Spinal Muscular Atrophy and Parkinson's Disease. Last but not least, we describe a methodology for automated experimental evaluation of SKIMMR instances. The method uses formal comparison of the graphs generated by our tool to relevant gold standards based on manually curated PubMed, TREC challenge and MeSH interesting and non-trivial facts with the tool. A comprehensive experimental evaluation of the SKIMMR prototype using simulations of various types of browsing behaviour shows a high potential of the proposed notion of skim reading for facilitating knowledge discovery in life sciences.

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Accuracy of magnetic resonance parkinsonism index for differentiation of progressive supranuclear palsy from probable or possible Parkinson disease

Abstract: Our study confirms that MRPI is a more accurate measure than midbrain/pons ratio for differentiation of patients with PSP from those with probable and possible PD.

Cited by 91 publications

References 30 publications

Pathophysiology, genetics, clinical features, diagnosis and therapeutic trials in progressive supranuclear palsy

Pathophysiology, genetics, clinical features, diagnosis and therapeutic trials in progressive supranuclear palsy

Parkinsonian Patients with Striatal Cribriform State Present Rapidly Progressive Axial Parkinsonism

SKIMMR: Facilitating knowledge discovery in life sciences by machine-aided skim reading

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