Literature DB >> 22782577

Is radiological evaluation as good as computer-based volumetry to assess hippocampal atrophy in Alzheimer's disease?

Claire Boutet1, Marie Chupin, Olivier Colliot, Marie Sarazin, Gurkan Mutlu, Aurélie Drier, Audrey Pellot, Didier Dormont, Stéphane Lehéricy.   

Abstract

INTRODUCTION: Hippocampus volumetry is a useful surrogate marker for the diagnosis of Alzheimer's disease (AD). Our purpose was to compare visual assessment of medial temporal lobe atrophy made by radiologists with automatic hippocampal volume and to compare their performances for the classification of AD, mild cognitive impairment (MCI) and cognitively normal (CN).
METHODS: We studied 30 CN, 30 MCI and 30 AD subjects. Six radiologists with two levels of expertise performed two readings of medial temporal lobe atrophy. Medial temporal lobe atrophy was evaluated on coronal three-dimensional T1-weighted images using Scheltens scale and compared with hippocampal volume obtained using a fully automatic segmentation method (Spearman's rank coefficient).
RESULTS: Visual assessment of medial temporal lobe atrophy was correlated with hippocampal volume (p < 0.01). Classification performances between MCI converter and CN was better using volumetry than visual assessment of non-expert readers whereas classification of AD and CN did not differ between visual assessment and volumetry except for the first reading of one non-expert (p = 0.03).
CONCLUSIONS: Visual assessment of medial temporal lobe atrophy by radiologists was well correlated with hippocampal volume. Radiological assessment is as good as computer-based volumetry for the classification of AD, MCI non-converter and CN and less good for the classification of MCI converter versus CN. Use of Scheltens scale for assessing hippocampal atrophy in AD seems thus justified in clinical routine.

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Year:  2012        PMID: 22782577     DOI: 10.1007/s00234-012-1058-0

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  37 in total

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2.  A comprehensive study of gray matter loss in patients with Alzheimer's disease using optimized voxel-based morphometry.

Authors:  G B Karas; E J Burton; S A R B Rombouts; R A van Schijndel; J T O'Brien; P h Scheltens; I G McKeith; D Williams; C Ballard; F Barkhof
Journal:  Neuroimage       Date:  2003-04       Impact factor: 6.556

3.  Visual assessment of medial temporal atrophy on MR films in Alzheimer's disease: comparison with volumetry.

Authors:  Lorena Bresciani; Roberta Rossi; Cristina Testa; Cristina Geroldi; Samantha Galluzzi; Mikko P Laakso; Alberto Beltramello; Hilkka Soininen; Giovanni B Frisoni
Journal:  Aging Clin Exp Res       Date:  2005-02       Impact factor: 3.636

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5.  Multivariate deformation-based analysis of brain atrophy to predict Alzheimer's disease in mild cognitive impairment.

Authors:  Stefan J Teipel; Christine Born; Michael Ewers; Arun L W Bokde; Maximilian F Reiser; Hans-Jürgen Möller; Harald Hampel
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6.  Amygdalohippocampal MR volume measurements in the early stages of Alzheimer disease.

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7.  Application of automated medial temporal lobe atrophy scale to Alzheimer disease.

Authors:  Basil H Ridha; Josephine Barnes; Laura A van de Pol; Jonathan M Schott; Richard G Boyes; Musib M Siddique; Martin N Rossor; Philip Scheltens; Nick C Fox
Journal:  Arch Neurol       Date:  2007-06

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Journal:  PLoS One       Date:  2011-07-21       Impact factor: 3.240

9.  Automatic segmentation of the hippocampus and the amygdala driven by hybrid constraints: method and validation.

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Authors:  Stefan Klöppel; Cynthia M Stonnington; Josephine Barnes; Frederick Chen; Carlton Chu; Catriona D Good; Irina Mader; L Anne Mitchell; Ameet C Patel; Catherine C Roberts; Nick C Fox; Clifford R Jack; John Ashburner; Richard S J Frackowiak
Journal:  Brain       Date:  2008-10-03       Impact factor: 13.501

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  17 in total

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Journal:  Am J Trop Med Hyg       Date:  2016-11-14       Impact factor: 2.345

2.  The Association between Calcified Neurocysticercosis and Cognitive Performance: A Case-Control Study Nested to a Population-Based Cohort.

Authors:  Oscar H Del Brutto; Robertino M Mera; Mauricio Zambrano; Aldo F Costa; Gustavo C Román
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3.  Improved Detection of Subtle Mesial Temporal Sclerosis: Validation of a Commercially Available Software for Automated Segmentation of Hippocampal Volume.

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Journal:  AJNR Am J Neuroradiol       Date:  2019-02-07       Impact factor: 3.825

4.  Calcified neurocysticercosis associates with hippocampal atrophy: a population-based study.

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Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

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Journal:  J Neurol Sci       Date:  2017-04-27       Impact factor: 3.181

7.  Automated quantitative MRI volumetry reports support diagnostic interpretation in dementia: a multi-rater, clinical accuracy study.

Authors:  Hugh G Pemberton; Olivia Goodkin; Ferran Prados; Ravi K Das; Sjoerd B Vos; James Moggridge; William Coath; Elizabeth Gordon; Ryan Barrett; Anne Schmitt; Hefina Whiteley-Jones; Christian Burd; Mike P Wattjes; Sven Haller; Meike W Vernooij; Lorna Harper; Nick C Fox; Ross W Paterson; Jonathan M Schott; Sotirios Bisdas; Mark White; Sebastien Ourselin; John S Thornton; Tarek A Yousry; M Jorge Cardoso; Frederik Barkhof
Journal:  Eur Radiol       Date:  2021-01-15       Impact factor: 5.315

8.  Hippocampal Atrophy/Sclerosis Is Associated with Old, Calcified Parenchymal Brain Neurocysticercosis, But Not with More Recent, Viable Infections.

Authors:  Sofía S Sánchez; Javier A Bustos; Oscar H Del Brutto; Genaro Herrera; Antonio Carlos Dos Santos; E Javier Pretell; Isidro Gonzales; Herbert Saavedra; Héctor H Garcia
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9.  Does MRI Increase the Diagnostic Confidence of Physicians in an Outpatient Memory Clinic.

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Authors:  Jules J Claus; Salka S Staekenborg; Dana C Holl; Jelmen J Roorda; Jacqueline Schuur; Pieter Koster; Caroline E M Tielkes; Philip Scheltens
Journal:  Eur Radiol       Date:  2017-01-12       Impact factor: 5.315

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