Literature DB >> 29196955

Simple linear brainstem MRI measurements in the differential diagnosis of progressive supranuclear palsy from the parkinsonian variant of multiple system atrophy.

Vasilios C Constantinides1, George P Paraskevas2, Eleftherios Stamboulis2, Elisabeth Kapaki2.   

Abstract

Differential diagnosis of progressive supranuclear palsy (PSP) and the parkinsonian variant of multiple system atrophy (MSA-P) from Parkinson's disease (PD) can be difficult, particularly in atypical cases or early in the disease course. The Magnetic Resonance Parkinsonism Index (MRPI) utilizes linear and surface (planimetry) measurements and has been proposed as a dual MRI biomarker, with high values indicative of PSP and low values of MSA. The aim of this study was to examine the utility of simple linear MRI brainstem measurements, without the use of MRI planimetry, in the diagnosis of patients with Parkinsonism and compare them to the MRPI. A total of 51 patients (PSP: 24, MSA-P: 9, PD: 18) and 15 healthy controls were included. Simple linear MRI distances of brainstem structures were measured. These included midbrain and pons diameters as well as superior cerebellar peduncle (SCP) and middle cerebellar peduncle (MCP) widths. All relevant indices, including ratios and products, were also calculated. The SCP by midbrain product (SCP × midbrain) provided improved sensitivity (100 vs. 91%) and identical specificity (98%) for the diagnosis of PSP, compared to the MRPI. Neither the MRPI nor any of the linear measurements were able to discriminate MSA-P from PD. The SCP by midbrain product is a novel, potent MRI biomarker for PSP.

Entities:  

Keywords:  Linear brainstem measurements; MRI; MSA-P; PSP

Mesh:

Year:  2017        PMID: 29196955     DOI: 10.1007/s10072-017-3212-2

Source DB:  PubMed          Journal:  Neurol Sci        ISSN: 1590-1874            Impact factor:   3.307


  20 in total

1.  MRI measurements predict PSP in unclassifiable parkinsonisms: a cohort study.

Authors:  M Morelli; G Arabia; F Novellino; M Salsone; L Giofrè; F Condino; D Messina; A Quattrone
Journal:  Neurology       Date:  2011-08-10       Impact factor: 9.910

2.  Diagnostic accuracy of the magnetic resonance Parkinsonism index and the midbrain-to-pontine area ratio to differentiate progressive supranuclear palsy from Parkinson's disease and the Parkinson variant of multiple system atrophy.

Authors:  Anna Hussl; Philipp Mahlknecht; Christoph Scherfler; Regina Esterhammer; Michael Schocke; Werner Poewe; Klaus Seppi
Journal:  Mov Disord       Date:  2010-10-30       Impact factor: 10.338

3.  Proposed neuropathological criteria for the post mortem diagnosis of multiple system atrophy.

Authors:  J Q Trojanowski; T Revesz
Journal:  Neuropathol Appl Neurobiol       Date:  2007-12       Impact factor: 8.090

4.  Accuracy of the National Institute for Neurological Disorders and Stroke/Society for Progressive Supranuclear Palsy and neuroprotection and natural history in Parkinson plus syndromes criteria for the diagnosis of progressive supranuclear palsy.

Authors:  Gesine Respondek; Sigrun Roeber; Hans Kretzschmar; Claire Troakes; Safa Al-Sarraj; Ellen Gelpi; Carles Gaig; Wang Zheng Chiu; John C van Swieten; Wolfgang H Oertel; Günter U Höglinger
Journal:  Mov Disord       Date:  2013-02-21       Impact factor: 10.338

5.  Accuracy of clinical diagnosis of idiopathic Parkinson's disease: a clinico-pathological study of 100 cases.

Authors:  A J Hughes; S E Daniel; L Kilford; A J Lees
Journal:  J Neurol Neurosurg Psychiatry       Date:  1992-03       Impact factor: 10.154

6.  Relationship between brainstem MRI and pathological findings in progressive supranuclear palsy--study in autopsy cases.

Authors:  I Aiba; Y Hashizume; M Yoshida; S Okuda; N Murakami; N Ujihira
Journal:  J Neurol Sci       Date:  1997-11-25       Impact factor: 3.181

7.  Midbrain-to-pons ratio in autopsy-confirmed progressive supranuclear palsy: replication in an independent cohort.

Authors:  Valtteri Kaasinen; Noora Kangassalo; Maria Gardberg; Juuso Isotalo; Jari Karhu; Riitta Parkkola; Pirkko Sonninen
Journal:  Neurol Sci       Date:  2015-03-25       Impact factor: 3.307

8.  The midbrain to pons ratio: a simple and specific MRI sign of progressive supranuclear palsy.

Authors:  Luke A Massey; Hans R Jäger; Dominic C Paviour; Sean S O'Sullivan; Helen Ling; David R Williams; Constantinos Kallis; Janice Holton; Tamas Revesz; David J Burn; Tarek Yousry; Andrew J Lees; Nick C Fox; Caroline Micallef
Journal:  Neurology       Date:  2013-04-24       Impact factor: 9.910

9.  Second consensus statement on the diagnosis of multiple system atrophy.

Authors:  S Gilman; G K Wenning; P A Low; D J Brooks; C J Mathias; J Q Trojanowski; N W Wood; C Colosimo; A Dürr; C J Fowler; H Kaufmann; T Klockgether; A Lees; W Poewe; N Quinn; T Revesz; D Robertson; P Sandroni; K Seppi; M Vidailhet
Journal:  Neurology       Date:  2008-08-26       Impact factor: 9.910

10.  Magnetic resonance parkinsonism index in progressive supranuclear palsy and vascular parkinsonism.

Authors:  Giovanni Mostile; Alessandra Nicoletti; Calogero Edoardo Cicero; Tiziana Cavallaro; Elisa Bruno; Valeria Dibilio; Antonina Luca; Giorgia Sciacca; Loredana Raciti; Donatella Contrafatto; Ignazio Chiaramonte; Mario Zappia
Journal:  Neurol Sci       Date:  2016-01-28       Impact factor: 3.307

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  3 in total

1.  Conventional Magnetic Resonance Imaging in the Diagnosis of Parkinsonian Disorders: A Meta-Analysis.

Authors:  Will Lee
Journal:  Mov Disord Clin Pract       Date:  2020-09-14

2.  A distinct neuromelanin magnetic resonance imaging pattern in parkinsonian multiple system atrophy.

Authors:  Rita Moiron Simões; Ana Castro Caldas; Joana Grilo; Daisy Correia; Carla Guerreiro; Patrícia Pita Lobo; Anabela Valadas; Marguerita Fabbri; Leonor Correia Guedes; Miguel Coelho; Mario Miguel Rosa; Joaquim J Ferreira; Sofia Reimão
Journal:  BMC Neurol       Date:  2020-11-27       Impact factor: 2.474

Review 3.  Differentiating PSP from MSA using MR planimetric measurements: a systematic review and meta-analysis.

Authors:  Beatrice Heim; Florian Krismer; Klaus Seppi
Journal:  J Neural Transm (Vienna)       Date:  2021-06-08       Impact factor: 3.575

  3 in total

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