Evidence map›Paper›PMID 36451375›Full record

ArticleNeuroImage. Clinical2022

Adapting UK Biobank imaging for use in a routine memory clinic setting: The Oxford Brain Health Clinic.

Ludovica Griffanti, Grace Gillis, M Clare O'Donoghue, Jasmine Blane, Pieter M Pretorius, Robert Mitchell, Nicola Aikin, Karen Lindsay, Jon Campbell, Juliet Semple and 6 more

Abstract read
In one paragraph

Article in NeuroImage. Clinical, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Ludovica GriffantiDepartment of Psychiatry, University of Oxford, United Kingdom; Oxford Health NHS Foundation Trust, Oxford, United Kingdom; Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom; Wellcome Centre for Integrative Neuroimaging, University of Oxford, United Kingdom. Electronic address: ludovica.griffanti@psych.ox.ac.uk.
Grace GillisDepartment of Psychiatry, University of Oxford, United Kingdom; Oxford Health NHS Foundation Trust, Oxford, United Kingdom; Wellcome Centre for Integrative Neuroimaging, University of Oxford, United Kingdom.
M Clare O'DonoghueDepartment of Psychiatry, University of Oxford, United Kingdom; Oxford Health NHS Foundation Trust, Oxford, United Kingdom; Wellcome Centre for Integrative Neuroimaging, University of Oxford, United Kingdom.
Jasmine BlaneDepartment of Psychiatry, University of Oxford, United Kingdom; Oxford Health NHS Foundation Trust, Oxford, United Kingdom.
Pieter M PretoriusNuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom; Oxford University Hospitals NHS Trust, Oxford, United Kingdom.
Robert MitchellOxford Health NHS Foundation Trust, Oxford, United Kingdom.
Nicola AikinDepartment of Psychiatry, University of Oxford, United Kingdom; Oxford Health NHS Foundation Trust, Oxford, United Kingdom; Wellcome Centre for Integrative Neuroimaging, University of Oxford, United Kingdom.
Karen LindsayDepartment of Psychiatry, University of Oxford, United Kingdom; Oxford Health NHS Foundation Trust, Oxford, United Kingdom.
Jon CampbellDepartment of Psychiatry, University of Oxford, United Kingdom; Oxford Health NHS Foundation Trust, Oxford, United Kingdom; Wellcome Centre for Integrative Neuroimaging, University of Oxford, United Kingdom.
Juliet SempleDepartment of Psychiatry, University of Oxford, United Kingdom; Oxford Health NHS Foundation Trust, Oxford, United Kingdom; Wellcome Centre for Integrative Neuroimaging, University of Oxford, United Kingdom.
Fidel Alfaro-AlmagroNuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom; Wellcome Centre for Integrative Neuroimaging, University of Oxford, United Kingdom.
Stephen M SmithNuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom; Wellcome Centre for Integrative Neuroimaging, University of Oxford, United Kingdom.
Karla L MillerNuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom; Wellcome Centre for Integrative Neuroimaging, University of Oxford, United Kingdom.
Lola MartosDepartment of Psychiatry, University of Oxford, United Kingdom; Oxford Health NHS Foundation Trust, Oxford, United Kingdom.
Vanessa RaymontDepartment of Psychiatry, University of Oxford, United Kingdom; Oxford Health NHS Foundation Trust, Oxford, United Kingdom.
Clare E MackayDepartment of Psychiatry, University of Oxford, United Kingdom; Wellcome Centre for Integrative Neuroimaging, University of Oxford, United Kingdom.

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/M024962/1Medical Research Council MR/T033371/1Wellcome Trust
6 · The paper itself

Abstract

The Oxford Brain Health Clinic (BHC) is a joint clinical-research service that provides memory clinic patients and clinicians access to high-quality assessments not routinely available, including brain MRI aligned with the UK Biobank imaging study (UKB). In this work we present how we 1) adapted the UKB MRI acquisition protocol to be suitable for memory clinic patients, 2) modified the imaging analysis pipeline to extract measures that are in line with radiology reports and 3) explored the alignment of measures from BHC patients to the largest brain MRI study in the world (ultimately 100,000 participants). Adaptations of the UKB acquisition protocol for BHC patients include dividing the scan into core and optional sequences (i.e., additional imaging modalities) to improve patients' tolerance for the MRI assessment. We adapted the UKB structural MRI analysis pipeline to take into account the characteristics of a memory clinic population (e.g., high amount of white matter hyperintensities and hippocampal atrophy). We then compared the imaging derived phenotypes (IDPs) extracted from the structural scans to visual ratings from radiology reports, non-imaging factors (age, cognition) and to reference distributions derived from UKB data. Of the first 108 BHC attendees (August 2020-November 2021), 92.5 % completed the clinical scans, 88.0 % consented to use of data for research, and 43.5 % completed the additional research sequences, demonstrating that the protocol is well tolerated. The high rates of consent to research makes this a valuable real-world quality research dataset routinely captured in a clinical service. Modified tissue-type segmentation with lesion masking greatly improved grey matter volume estimation. CSF-masking marginally improved hippocampal segmentation. The IDPs were in line with radiology reports and showed significant associations with age and cognitive performance, in line with the literature. Due to the age difference between memory clinic patients of the BHC (age range 65-101 years, average 78.3 years) and UKB participants (44-82 years, average 64 years), additional scans on elderly healthy controls are needed to improve reference distributions. Current and future work aims to integrate automated quantitative measures in the radiology reports and evaluate their clinical utility.

Indexed as

Biological Specimen BanksBrainAtrophyHumansMagnetic Resonance ImagingUnited KingdomDementiaMagnetic resonance imagingMemory clinicstructural MRIUK Biobank

Identifiers

PMID36451375
PMCPMC9723313

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.