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POMD01 Blinded analysis of conventional MRI in a cohort of pathologically confirmed parkinsonian illnesses

Authors :
Hans Rolf Jäger
David J. Burn
Dominic C. Paviour
Sean S. O'Sullivan
Luke A. Massey
Janice L. Holton
Nick C. Fox
AJ Lees
Tamas Revesz
Caroline Micallef
Source :
Journal of Neurology, Neurosurgery & Psychiatry. 81:e57-e57
Publication Year :
2010
Publisher :
BMJ, 2010.

Abstract

Background Although conventional MRI (cMRI) has been reported to show specific abnormalities in parkinsonism, the diagnosis of the underlying pathology can be challenging. We report the radiological diagnostic accuracy, and the sensitivity, specificity, positive (PPV) and negative predictive values (NPV) of cMRI abnormalities in a pathologically confirmed cohort of Parkinson9s disease (PD), progressive supranuclear palsy (PSP), multiple system atrophy (MSA) and corticobasal degeneration (CBD). Method cMRI of donors to a neurological brain bank was reviewed by two experienced neuroradiologists blinded to clinical details. Images were systematically reviewed for the presence of specific reported abnormalities. Results 48 pathologically confirmed cases (23 PSP, 6 PD, 13 MSA and 6 CBD) and nine controls were studied. The final clinical diagnosis was supported in 68% and the radiological diagnosis in 60%. Using cMRI 55% of PSP, 67% of PD, and 77% of MSA were correctly identified. In this study the Hummingbird sign has 68% sensitivity, 100% specificity and PPV for PSP and the Hot Cross Bun has 62% sensitivity, 100% specificity and PPV for MSA. Conclusion The confirmation that using cMRI key diagnostic features with very high specificity and PPV have low sensitivity endorses the development of newer MR techniques (e.g., high field diffusion tensor imaging) as useful biomarkers early in disease.

Details

ISSN :
00223050
Volume :
81
Database :
OpenAIRE
Journal :
Journal of Neurology, Neurosurgery & Psychiatry
Accession number :
edsair.doi...........99c39ae96cfd96bd5e12233fed5dc9eb
Full Text :
https://doi.org/10.1136/jnnp.2010.226340.161