Literature DB >> 2818257

Computed tomography, electroencephalography, and clinical features in the differential diagnosis of senile dementia. A prospective clinicopathologic study.

T M Ettlin1, H B Staehelin, U Kischka, J Ulrich, G Scollo-Lavizzari, U Wiggli, W O Seiler.   

Abstract

The accuracy of computed tomography, electroencephalography, and clinical features in the differential diagnosis of senile dementia was studied prospectively. Out of 50 demented patients, autopsy revealed 32 cases with either senile dementia of the Alzheimer's type (SDAT), multi-infarct dementia (MID), or a combination of both. Eighteen patients had dementia caused by other diseases. Based on a combination of computed tomography, electroencephalography, and clinical features, senile dementia of the Alzheimer's type was differentiated from all 50 patients, with a specificity of 83% and a sensitivity of 80%. Focusing on senile dementia of the Alzheimer's type, multi-infarct dementia, or a combination of both, specificity decreased to 65% and sensitivity to 47%. Comparing the different methods, multi-infarct processes were diagnosed with a higher sensitivity by the clinical features (73%) than by computed tomography (18%) or electroencephalography (18%). None of the methods validly differentiated multi-infarct dementia from a combination of multi-infarct dementia and senile dementia of the Alzheimer's type.

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Year:  1989        PMID: 2818257     DOI: 10.1001/archneur.1989.00520470081031

Source DB:  PubMed          Journal:  Arch Neurol        ISSN: 0003-9942


  7 in total

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Journal:  J Neurol Neurosurg Psychiatry       Date:  1995-05       Impact factor: 10.154

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4.  Effect of white matter disease on functional connections in the aging brain.

Authors:  A F Leuchter; J J Dunkin; R B Lufkin; Y Anzai; I A Cook; T F Newton
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Review 5.  The appropriate use of neuroimaging in the diagnostic work-up of dementia: an evidence-based analysis.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2014-02-01

6.  Neural-network-based classification of cognitively normal, demented, Alzheimer disease and vascular dementia from single photon emission with computed tomography image data from brain.

Authors:  R J deFigueiredo; W R Shankle; A Maccato; M B Dick; P Mundkur; I Mena; C W Cotman
Journal:  Proc Natl Acad Sci U S A       Date:  1995-06-06       Impact factor: 11.205

Review 7.  Is MRI better than CT for detecting a vascular component to dementia? A systematic review and meta-analysis.

Authors:  Rebecca Beynon; Jonathan A C Sterne; Gordon Wilcock; Marcus Likeman; Roger M Harbord; Margaret Astin; Margaret Burke; Alysson Bessell; Yoav Ben-Shlomo; James Hawkins; William Hollingworth; Penny Whiting
Journal:  BMC Neurol       Date:  2012-06-06       Impact factor: 2.474

  7 in total

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