Do brain image databanks support understanding of normal ageing brain structure?

A systematic review

David Alexander Dickie, Dominic E Job, Ian Poole, Trevor S Ahearn, Roger T Staff, Alison D Murray, Joanna M Wardlaw

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Objective
To document accessible magnetic resonance (MR) brain images, metadata and statistical results from normal older subjects that may be used to improve diagnoses of dementia.
Methods
We systematically reviewed published brain image databanks (print literature and Internet) concerned with normal ageing brain structure.
Results
From nine eligible databanks, there appeared to be 944 normal subjects aged =60 years. However, many subjects were in more than one databank and not all were fully representative of normal ageing clinical characteristics. Therefore, there were approximately 343 subjects aged =60 years with metadata representative of normal ageing, but only 98 subjects were openly accessible. No databank had the range of MR image sequences, e.g. T2*, fluid-attenuated inversion recovery (FLAIR), required to effectively characterise the features of brain ageing. No databank supported random subject retrieval; therefore, manual selection bias and errors may occur in studies that use these subjects as controls. Finally, no databank stored results from statistical analyses of its brain image and metadata that may be validated with analyses of further data.
Conclusion
Brain image databanks require open access, more subjects, metadata, MR image sequences, searchability and statistical results to improve understanding of normal ageing brain structure and diagnoses of dementia.
Key Points
• We reviewed databanks with structural MR brain images of normal older people.
• Among these nine databanks, 98 normal subjects =60 years were openly accessible.
• None had all the required sequences, random subject retrieval or statistical results.
• More access, subjects, sequences, metadata, searchability and results are needed.
• These may improve understanding of normal brain ageing and diagnoses of dementia.
Original languageEnglish
Pages (from-to)1385-1394
Number of pages10
JournalEuropean Radiology
Volume22
Issue number7
Early online date22 Feb 2012
DOIs
Publication statusPublished - Jul 2012

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Databases
Brain
Magnetic Resonance Spectroscopy
Dementia
Selection Bias
Internet
Metadata

Keywords

  • magnetic resonance imaging
  • normality
  • databanks
  • review
  • brain disease

Cite this

Do brain image databanks support understanding of normal ageing brain structure? A systematic review. / Dickie, David Alexander; Job, Dominic E; Poole, Ian; Ahearn, Trevor S; Staff, Roger T; Murray, Alison D; Wardlaw, Joanna M.

In: European Radiology, Vol. 22, No. 7, 07.2012, p. 1385-1394.

Research output: Contribution to journalArticle

Dickie, David Alexander ; Job, Dominic E ; Poole, Ian ; Ahearn, Trevor S ; Staff, Roger T ; Murray, Alison D ; Wardlaw, Joanna M. / Do brain image databanks support understanding of normal ageing brain structure? A systematic review. In: European Radiology. 2012 ; Vol. 22, No. 7. pp. 1385-1394.
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abstract = "Objective To document accessible magnetic resonance (MR) brain images, metadata and statistical results from normal older subjects that may be used to improve diagnoses of dementia. Methods We systematically reviewed published brain image databanks (print literature and Internet) concerned with normal ageing brain structure. Results From nine eligible databanks, there appeared to be 944 normal subjects aged =60 years. However, many subjects were in more than one databank and not all were fully representative of normal ageing clinical characteristics. Therefore, there were approximately 343 subjects aged =60 years with metadata representative of normal ageing, but only 98 subjects were openly accessible. No databank had the range of MR image sequences, e.g. T2*, fluid-attenuated inversion recovery (FLAIR), required to effectively characterise the features of brain ageing. No databank supported random subject retrieval; therefore, manual selection bias and errors may occur in studies that use these subjects as controls. Finally, no databank stored results from statistical analyses of its brain image and metadata that may be validated with analyses of further data. Conclusion Brain image databanks require open access, more subjects, metadata, MR image sequences, searchability and statistical results to improve understanding of normal ageing brain structure and diagnoses of dementia. Key Points • We reviewed databanks with structural MR brain images of normal older people. • Among these nine databanks, 98 normal subjects =60 years were openly accessible. • None had all the required sequences, random subject retrieval or statistical results. • More access, subjects, sequences, metadata, searchability and results are needed. • These may improve understanding of normal brain ageing and diagnoses of dementia.",
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N2 - Objective To document accessible magnetic resonance (MR) brain images, metadata and statistical results from normal older subjects that may be used to improve diagnoses of dementia. Methods We systematically reviewed published brain image databanks (print literature and Internet) concerned with normal ageing brain structure. Results From nine eligible databanks, there appeared to be 944 normal subjects aged =60 years. However, many subjects were in more than one databank and not all were fully representative of normal ageing clinical characteristics. Therefore, there were approximately 343 subjects aged =60 years with metadata representative of normal ageing, but only 98 subjects were openly accessible. No databank had the range of MR image sequences, e.g. T2*, fluid-attenuated inversion recovery (FLAIR), required to effectively characterise the features of brain ageing. No databank supported random subject retrieval; therefore, manual selection bias and errors may occur in studies that use these subjects as controls. Finally, no databank stored results from statistical analyses of its brain image and metadata that may be validated with analyses of further data. Conclusion Brain image databanks require open access, more subjects, metadata, MR image sequences, searchability and statistical results to improve understanding of normal ageing brain structure and diagnoses of dementia. Key Points • We reviewed databanks with structural MR brain images of normal older people. • Among these nine databanks, 98 normal subjects =60 years were openly accessible. • None had all the required sequences, random subject retrieval or statistical results. • More access, subjects, sequences, metadata, searchability and results are needed. • These may improve understanding of normal brain ageing and diagnoses of dementia.

AB - Objective To document accessible magnetic resonance (MR) brain images, metadata and statistical results from normal older subjects that may be used to improve diagnoses of dementia. Methods We systematically reviewed published brain image databanks (print literature and Internet) concerned with normal ageing brain structure. Results From nine eligible databanks, there appeared to be 944 normal subjects aged =60 years. However, many subjects were in more than one databank and not all were fully representative of normal ageing clinical characteristics. Therefore, there were approximately 343 subjects aged =60 years with metadata representative of normal ageing, but only 98 subjects were openly accessible. No databank had the range of MR image sequences, e.g. T2*, fluid-attenuated inversion recovery (FLAIR), required to effectively characterise the features of brain ageing. No databank supported random subject retrieval; therefore, manual selection bias and errors may occur in studies that use these subjects as controls. Finally, no databank stored results from statistical analyses of its brain image and metadata that may be validated with analyses of further data. Conclusion Brain image databanks require open access, more subjects, metadata, MR image sequences, searchability and statistical results to improve understanding of normal ageing brain structure and diagnoses of dementia. Key Points • We reviewed databanks with structural MR brain images of normal older people. • Among these nine databanks, 98 normal subjects =60 years were openly accessible. • None had all the required sequences, random subject retrieval or statistical results. • More access, subjects, sequences, metadata, searchability and results are needed. • These may improve understanding of normal brain ageing and diagnoses of dementia.

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