Literature DB >> 19874902

Atrophy patterns in Alzheimer's disease and semantic dementia: a comparison of FreeSurfer and manual volumetric measurements.

Manja Lehmann1, Abdel Douiri, Lois G Kim, Marc Modat, Dennis Chan, Sebastien Ourselin, Josephine Barnes, Nick C Fox.   

Abstract

Alzheimer's disease (AD) and semantic dementia (SD) are characterized by different patterns of global and temporal lobe atrophy which can be studied using magnetic resonance imaging (MRI). Manual delineation of regions of interest is time-consuming. FreeSurfer is a freely available automated technique which has a facility to label cortical and subcortical brain regions automatically. As with all automated techniques comparison with existing methods is important. Eight temporal lobe structures in each hemisphere were delineated using FreeSurfer and compared with manual segmentations in 10 control, 10 AD, and 10 SD subjects. The reproducibility errors for the manual segmentations ranged from 3% to 6%. Differences in protocols between the two methods led to differences in absolute volumes with the greatest differences between methods found bilaterally in the hippocampus, entorhinal cortex and fusiform gyrus (p<0.005). However, good correlations between the methods were found for most regions, with the highest correlations shown for the ventricles, whole brain and left medial-inferior temporal gyrus (r>0.9), followed by the bilateral amygdala and hippocampus, left superior temporal gyrus, right medial-inferior temporal gyrus and left temporal lobe (r>0.8). Overlap ratios differed between methods bilaterally in the amygdala, superior temporal gyrus, temporal lobe, left fusiform gyrus and right parahippocampal gyrus (p<0.01). Despite differences in protocol and volumes, both methods showed similar atrophy patterns in the patient groups compared with controls, and similar right-left differences, suggesting that both methods accurately distinguish between the three groups. Copyright (c) 2009 Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 19874902     DOI: 10.1016/j.neuroimage.2009.10.056

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  46 in total

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2.  Evaluation of automatic measurement of the intracranial volume based on quantitative MR imaging.

Authors:  K Ambarki; T Lindqvist; A Wåhlin; E Petterson; M J B Warntjes; R Birgander; J Malm; A Eklund
Journal:  AJNR Am J Neuroradiol       Date:  2012-05-03       Impact factor: 3.825

3.  Comparison of acute and chronic traumatic brain injury using semi-automatic multimodal segmentation of MR volumes.

Authors:  Andrei Irimia; Micah C Chambers; Jeffry R Alger; Maria Filippou; Marcel W Prastawa; Bo Wang; David A Hovda; Guido Gerig; Arthur W Toga; Ron Kikinis; Paul M Vespa; John D Van Horn
Journal:  J Neurotrauma       Date:  2011-09-21       Impact factor: 5.269

4.  How Does the Accuracy of Intracranial Volume Measurements Affect Normalized Brain Volumes? Sample Size Estimates Based on 966 Subjects from the HUNT MRI Cohort.

Authors:  T I Hansen; V Brezova; L Eikenes; A Håberg; T R Vangberg
Journal:  AJNR Am J Neuroradiol       Date:  2015-04-09       Impact factor: 3.825

5.  Biomarker Localization, Analysis, Visualization, Extraction, and Registration (BLAzER) Methodology for Research and Clinical Brain PET Applications.

Authors:  Fabio Raman; Sameera Grandhi; Charles F Murchison; Richard E Kennedy; Susan Landau; Erik D Roberson; Jonathan McConathy
Journal:  J Alzheimers Dis       Date:  2019       Impact factor: 4.472

6.  Regional specificity of sex effects on subcortical volumes across the lifespan in healthy aging.

Authors:  Wenjing Li; Marie-José van Tol; Meng Li; Wen Miao; Yonghong Jiao; Hans-Jochen Heinze; Bernhard Bogerts; Huiguang He; Martin Walter
Journal:  Hum Brain Mapp       Date:  2012-09-21       Impact factor: 5.038

7.  A comprehensive protocol for manual segmentation of the medial temporal lobe structures.

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Journal:  J Vis Exp       Date:  2014-07-02       Impact factor: 1.355

8.  Evaluation of Ultrafast Wave-CAIPI MPRAGE for Visual Grading and Automated Measurement of Brain Tissue Volume.

Authors:  M G F Longo; J Conklin; S F Cauley; K Setsompop; Q Tian; D Polak; M Polackal; D Splitthoff; W Liu; R G González; P W Schaefer; J E Kirsch; O Rapalino; S Y Huang
Journal:  AJNR Am J Neuroradiol       Date:  2020-07-30       Impact factor: 3.825

9.  Limbic and prefrontal neural volume modulate social anxiety in children at temperamental risk.

Authors:  Eran S Auday; Koraly E Pérez-Edgar
Journal:  Depress Anxiety       Date:  2019-08       Impact factor: 6.505

10.  Regionally specific increased volume of the amygdala in Williams syndrome: evidence from surface-based modeling.

Authors:  Brian W Haas; Kristen Sheau; Ryan G Kelley; Paul M Thompson; Allan L Reiss
Journal:  Hum Brain Mapp       Date:  2012-11-14       Impact factor: 5.038

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