Literature DB >> 23540941

Measurements of medial temporal lobe atrophy for prediction of Alzheimer's disease in subjects with mild cognitive impairment.

Lies Clerx1, Ineke A van Rossum, Leah Burns, Dirk L Knol, Philip Scheltens, Frans Verhey, Pauline Aalten, Pablo Lapuerta, Laura van de Pol, Ronald van Schijndel, Remko de Jong, Frederik Barkhof, Robin Wolz, Daniel Rueckert, Martina Bocchetta, Magdalini Tsolaki, Flavio Nobili, Lars-Olaf Wahlund, Lennart Minthon, Lutz Frölich, Harald Hampel, Hilkka Soininen, Pieter Jelle Visser.   

Abstract

Our aim was to compare the predictive accuracy of 4 different medial temporal lobe measurements for Alzheimer's disease (AD) in subjects with mild cognitive impairment (MCI). Manual hippocampal measurement, automated atlas-based hippocampal measurement, a visual rating scale (MTA-score), and lateral ventricle measurement were compared. Predictive accuracy for AD 2 years after baseline was assessed by receiver operating characteristics analyses with area under the curve as outcome. Annual cognitive decline was assessed by slope analyses up to 5 years after baseline. Correlations with biomarkers in cerebrospinal fluid (CSF) were investigated. Subjects with MCI were selected from the Development of Screening Guidelines and Clinical Criteria for Predementia AD (DESCRIPA) multicenter study (n = 156) and the single-center VU medical center (n = 172). At follow-up, area under the curve was highest for automated atlas-based hippocampal measurement (0.71) and manual hippocampal measurement (0.71), and lower for MTA-score (0.65) and lateral ventricle (0.60). Slope analysis yielded similar results. Hippocampal measurements correlated with CSF total tau and phosphorylated tau, not with beta-amyloid 1-42. MTA-score and lateral ventricle volume correlated with CSF beta-amyloid 1-42. We can conclude that volumetric hippocampal measurements are the best predictors of AD conversion in subjects with MCI.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23540941     DOI: 10.1016/j.neurobiolaging.2013.02.002

Source DB:  PubMed          Journal:  Neurobiol Aging        ISSN: 0197-4580            Impact factor:   4.673


  24 in total

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Journal:  Neuroinformatics       Date:  2017-04

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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

5.  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
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Review 6.  Multi-atlas segmentation of biomedical images: A survey.

Authors:  Juan Eugenio Iglesias; Mert R Sabuncu
Journal:  Med Image Anal       Date:  2015-07-06       Impact factor: 8.545

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Journal:  J Clin Med       Date:  2022-06-15       Impact factor: 4.964

8.  Functional Connectivity and Complexity in the Phenomenological Model of Mild Cognitive-Impaired Alzheimer's Disease.

Authors:  Surya Das; Subha D Puthankattil
Journal:  Front Comput Neurosci       Date:  2022-06-06       Impact factor: 3.387

9.  Quantitative Measurements in the Human Hippocampus and Related Areas: Correspondence between Ex-Vivo MRI and Histological Preparations.

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Journal:  PLoS One       Date:  2015-06-22       Impact factor: 3.240

10.  T1rho MRI and CSF biomarkers in diagnosis of Alzheimer's disease.

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Journal:  Neuroimage Clin       Date:  2015-02-26       Impact factor: 4.881

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