Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2011-3-11
pubmed:abstractText
The purpose of this study was to develop an observer-independent algorithm for the correct classification of dopamine transporter SPECT images as Parkinson's disease (PD), multiple system atrophy parkinson variant (MSA-P), progressive supranuclear palsy (PSP) or normal.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
1619-7089
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
38
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
702-10
pubmed:meshHeading
pubmed-meshheading:21174092-Aged, pubmed-meshheading:21174092-Algorithms, pubmed-meshheading:21174092-Analysis of Variance, pubmed-meshheading:21174092-Brain, pubmed-meshheading:21174092-Case-Control Studies, pubmed-meshheading:21174092-Cocaine, pubmed-meshheading:21174092-Dopamine Plasma Membrane Transport Proteins, pubmed-meshheading:21174092-Female, pubmed-meshheading:21174092-Humans, pubmed-meshheading:21174092-Image Processing, Computer-Assisted, pubmed-meshheading:21174092-Male, pubmed-meshheading:21174092-Middle Aged, pubmed-meshheading:21174092-Multiple System Atrophy, pubmed-meshheading:21174092-Parkinson Disease, pubmed-meshheading:21174092-Parkinsonian Disorders, pubmed-meshheading:21174092-Regression Analysis, pubmed-meshheading:21174092-Reproducibility of Results, pubmed-meshheading:21174092-Sensitivity and Specificity, pubmed-meshheading:21174092-Supranuclear Palsy, Progressive, pubmed-meshheading:21174092-Tomography, Emission-Computed, Single-Photon
pubmed:year
2011
pubmed:articleTitle
A novel computer-assisted image analysis of [123I]?-CIT SPECT images improves the diagnostic accuracy of parkinsonian disorders.
pubmed:affiliation
Department of Medical Statistics, Informatics and Health Economics, Innsbruck Medical University, Schöpfstrasse 41/2, A-6020, Innsbruck, Austria. georg.goebel@i-med.ac.at
pubmed:publicationType
Journal Article, Clinical Trial, Research Support, Non-U.S. Gov't