Literature DB >> 19635835

Diagnostic imaging of patients in a memory clinic: comparison of MR imaging and 64-detector row CT.

Mike P Wattjes1, Wouter J P Henneman, Wiesje M van der Flier, Oscar de Vries, Frank Träber, Jeroen J G Geurts, Philip Scheltens, Hugo Vrenken, Frederik Barkhof.   

Abstract

PURPOSE: To investigate the assessment of global cortical atrophy (GCA), medial temporal lobe atrophy (MTA), and white matter changes (WMCs) in patients screened at a memory clinic with a 64-detector row computed tomography (CT) brain protocol, in comparison with the reference standard, magnetic resonance (MR) imaging.
MATERIALS AND METHODS: The study protocol was approved by the local institutional review board. Written informed consent was obtained from all participants. Thirty patients (21 men, nine women; median age, 62 years) who presented to a memory clinic underwent 64-detector row CT and multisequence MR imaging of the brain on the same day. Three readers blinded to the clinical diagnosis assessed the resultant images. Images were presented in random order and scored for GCA, MTA, and WMC with published visual rating scales. Intermodality agreement between CT and MR imaging (intrareader agreement across both modalities), expressed by weighted kappa analysis, and interobserver agreement within each modality between readers (Kendall W test) were assessed.
RESULTS: Overall, excellent intraobserver agreement between CT and MR imaging was observed for GCA (mean kappa, 0.83) and MTA (mean kappa, 0.88 and 0.86 on the left and right sides of the brain, respectively). There was substantial overall agreement concerning WMC (mean kappa, 0.79). For all three tested scales, interobserver variability was low and comparable for CT and MR imaging.
CONCLUSION: Use of 64-detector row brain CT yields reliable information that is comparable with that obtained with MR imaging. Thus, multidetector row CT is a suitable diagnostic imaging tool in a memory clinic setting.

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Year:  2009        PMID: 19635835     DOI: 10.1148/radiol.2531082262

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  42 in total

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Journal:  Transl Stroke Res       Date:  2018-04-23       Impact factor: 6.829

3.  Interpreting Biomarker Results in Individual Patients With Mild Cognitive Impairment in the Alzheimer's Biomarkers in Daily Practice (ABIDE) Project.

Authors:  Ingrid S van Maurik; Marissa D Zwan; Betty M Tijms; Femke H Bouwman; Charlotte E Teunissen; Philip Scheltens; Mike P Wattjes; Frederik Barkhof; Johannes Berkhof; Wiesje M van der Flier
Journal:  JAMA Neurol       Date:  2017-12-01       Impact factor: 18.302

4.  Automatically computed rating scales from MRI for patients with cognitive disorders.

Authors:  Juha R Koikkalainen; Hanneke F M Rhodius-Meester; Kristian S Frederiksen; Marie Bruun; Steen G Hasselbalch; Marta Baroni; Patrizia Mecocci; Ritva Vanninen; Anne Remes; Hilkka Soininen; Mark van Gils; Wiesje M van der Flier; Philip Scheltens; Frederik Barkhof; Timo Erkinjuntti; Jyrki M P Lötjönen
Journal:  Eur Radiol       Date:  2019-02-22       Impact factor: 5.315

5.  A population-based study on the influence of brain atrophy on 20-year survival after age 85.

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Journal:  Eur Stroke J       Date:  2017-09-19

8.  Posterior cerebral atrophy in the absence of medial temporal lobe atrophy in pathologically-confirmed Alzheimer's disease.

Authors:  Manja Lehmann; Esther L G E Koedam; Josephine Barnes; Jonathan W Bartlett; Natalie S Ryan; Yolande A L Pijnenburg; Frederik Barkhof; Mike P Wattjes; Philip Scheltens; Nick C Fox
Journal:  Neurobiol Aging       Date:  2011-05-18       Impact factor: 4.673

9.  Neurocognitive Function and Neuroimaging Markers in Virologically Suppressed HIV-positive Patients Randomized to Ritonavir-boosted Protease Inhibitor Monotherapy or Standard Combination ART: A Cross-sectional Substudy From the PIVOT Trial.

Authors:  Alejandro Arenas-Pinto; Wolfgang Stöhr; Hans Rolf Jäger; Lewis Haddow; Amanda Clarke; Margaret Johnson; Fabian Chen; Alan Winston; Claudia Godi; Steffi Thust; Rita Trombin; Janet Cairns; Bhavana S Solanky; Xavier Golay; Nicholas I Paton
Journal:  Clin Infect Dis       Date:  2016-05-03       Impact factor: 9.079

10.  Lifetime hypertension as a predictor of brain structure in older adults: cohort study with a 28-year follow-up.

Authors:  Charlotte L Allan; Enikõ Zsoldos; Nicola Filippini; Claire E Sexton; Anya Topiwala; Vyara Valkanova; Archana Singh-Manoux; Adam G Tabák; Martin J Shipley; Clare Mackay; Klaus P Ebmeier; Mika Kivimäki
Journal:  Br J Psychiatry       Date:  2014-12-11       Impact factor: 9.319

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