Potentially serious incidental findings in the UK Biobank Imaging Study
dc.contributor.advisor
Sudlow, Catherine
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dc.contributor.advisor
Wardlaw, Joanna
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dc.contributor.author
Gibson, Lorna Mary
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dc.contributor.sponsor
Wellcome Trust
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dc.date.accessioned
2019-09-17T10:10:00Z
dc.date.available
2019-09-17T10:10:00Z
dc.date.issued
2019-11-25
dc.description.abstract
The increased use of imaging across research, clinical and commercial contexts has
generated debate and calls for evidence on the benefits and harms of incidental findings
(defined as those which are unrelated to the purpose of imaging) to inform policy and
practice. Evidence on clearly non-serious incidental findings is of limited clinical usefulness;
this thesis therefore focuses on potentially serious incidental findings (PSIFs), defined as
those which may indicate the possibility of a condition which, if it was confirmed, would
carry a real prospect of seriously threatening life span, or of having a substantial impact on
major body functions or quality of life.
In 2014, the UK Biobank Imaging Study began performing brain, cardiac and body magnetic
resonance imaging (MRI), dual-energy X-ray absorptiometry and carotid Doppler
ultrasound, and aims to image 100,000 of its population-based participants. The imaging data
can be combined with extensive sociodemographic, lifestyle, physical measures,
biochemical, genetic and linked healthcare data, to generate a research resource which will
facilitate studies into a wide range of diseases. Due to the scale of the UK Biobank Imaging
Study, PSIFs are a particularly pertinent issue. UK Biobank therefore evaluates the impact of
its protocol for handling PSIFs, the data from which form the basis of this thesis.
This thesis aims to provide empirical data on seven themes relating to PSIFs: their
prevalence and nature; follow-up and final diagnoses; factors associated with PSIFs and with
serious final diagnoses; participants’ understanding of consent to feedback of PSIFs; nonmedical
impacts of feedback of PSIFs; opinions of receiving feedback of PSIFs; and the
economic impact of feedback of PSIFs on hospital services.
Chapter 1 outlines the scale of the challenge of incidental findings, and summarises current
literature and gaps in our knowledge relating to each of the seven themes on PSIFs. Chapter
2 reviews systematically and meta-analyses published studies of brain and body MRI of
apparently asymptomatic adults. Chapter 3 introduces the UK Biobank, the UK Biobank
Imaging Study, and the rationale behind and protocol used to handle PSIFs in 100,000
largely asymptomatic participants: radiographer flagging of concerning images for a
radiologist to review. Chapter 4 presents a study comparing two protocols to handle PSIFs in
the first 1,000 imaged UK Biobank participants: radiographer flagging versus systematic
radiologist review of all images. Chapter 5 investigates the factors associated with PSIFs and
with serious final diagnoses. Chapter 6 examines the economic impact of feedback of PSIFs
on hospital services, using linked routinely collected healthcare data. In the systematic review, pooled prevalences of PSIFs on brain, thorax, abdominal and brain
and body MRI were: 1.4–1.7%; 1.3–3.0%; 1.9–4.5%; and 3.9–12.8% respectively, the upper
estimates reflecting the inclusion of indeterminate findings. There was substantial
heterogeneity, but few informative data on potential sources of this. Around half of PSIFs
were suspected malignancies.
Based on the first 7,334 participants in the UK Biobank Imaging Study (283 of whom had
PSIFs), the PSIFs protocol had the largest influence on the prevalence of PSIFs and serious
final diagnoses of any of the investigated factors: systematic radiologist review resulted in
around 13 times more PSIFs and around four times more serious final diagnoses compared to
radiographer flagging. A lower proportion of PSIFs detected by radiologists were finally
diagnosed as serious compared to radiographer flagging (12% and 32% [Chapter 4 and 5]).
Feedback of PSIFs resulted in substantial impacts in terms of: clinical assessments (all
participants visited their general practitioner, and 90% underwent some form of other clinical
assessment, mostly imaging or referral to a specialist [Chapter 4]); non-medical impacts on
participants (including on emotional wellbeing, insurance and finances and work and
activities in 17%, 9% and 6% respectively [Chapter 4]); and hospital service use and cost
(81% of cases with PSIFs generated some hospital use and costs, which had increased
compared to controls, and to cases’ hospital use and costs during the year before feedback of
a PSIF [Chapter 6]). Importantly, as around 80% of PSIFs turned out not to be serious
(Chapters 2, 4 and 5), many of these impacts may be unnecessary.
Despite these negative impacts, the vast majority of participants were glad to have received
feedback of a PSIF and to have taken part in the imaging study (98% and 99% respectively),
although almost a quarter changed their minds over time about whether or not feedback
should always be given. Around a quarter of participants incorrectly thought they could
choose to receive feedback and UK Biobank has improved its consent materials accordingly
(Chapter 4).
Feedback of PSIFs impacts on participants and publicly-funded health services (and in turn
patients in need); most PSIFs turn out not to be serious and many of these impacts may be
unnecessary. Researchers can substantially influence these impacts via IFs policies, which
must be designed to minimise unnecessary harms, and be clearly explained to participants to
facilitate informed consent. These, and other implications of this thesis are further described
in Chapter 7, which also discusses the results in the context of the broader literature, outlines
the strengths and limitations of this thesis, and suggests directions for future work.
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dc.identifier.uri
http://hdl.handle.net/1842/36151
dc.language.iso
en
dc.publisher
The University of Edinburgh
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dc.relation.hasversion
Gibson LM, Littlejohns TJ, Adamska L, Garratt S, Doherty N, UK Biobank Imaging Working Group, Wardlaw JM, Maskell G, Parker M, Brownsword R, Matthews PM, Collins R, Allen NE, Sellors J, Sudlow CLMS. Impact of detecting potentially serious incidental findings during multi-modal imaging. Wellcome Open Research 2018, 2:114.
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dc.relation.hasversion
Gibson LM, Sudlow CLM, Wardlaw JM. Incidental findings: current ethical debates and future challenges in advanced neuroimaging. In: Neuroethics: anticipating the future. Illes J (Editor), Hossain S (Associate editor). Second edition. Oxford University Press, Oxford, UK: 2017; 54-69.
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dc.relation.hasversion
Gibson LM, Sellors J, Sudlow CLM. Management of incidental findings on multi-modal imaging in UK Biobank. In: Incidental radiological findings. Weckbach S (Editor). First edition. Springer, Cham, Switzerland: 2016; 71-78.
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dc.relation.hasversion
Gibson L, Paul L, Wardlaw J, Sudlow C. Potentially serious incidental findings on brain and body magnetic resonance imaging conducted among apparently healthy adults: a systematic review. PROSPERO 2016:CRD42016029472. Available from http://www.crd.york.ac.uk/PROSPERO/display_record.asp?ID=CRD42016029472
en
dc.relation.hasversion
Gibson L, Paul L, Sudlow CLM. Potentially serious incidental findings on brain and body magnetic resonance imaging conducted among apparently healthy adults: a systematic review and meta-analysis, [dataset]. 2017. Available from: https://datashare.is.ed.ac.uk/handle/10283/2773
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dc.relation.hasversion
Gibson LM, Nolan J. Factors associated with potentially serious incidental findings and with serious final diagnoses on multimodal imaging in the UK Biobank Imaging Study: a prospective cohort study, [software]. 2018. Available from: https://datashare.is.ed.ac.uk/handle/10283/3112
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dc.relation.hasversion
Gibson L. Scans from ‘healthy’ volunteers reveal serendipitous findings: a blessing or a curse? eu:sci 2017;20:31-32.
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dc.subject
Magnetic Resonance Imaging
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dc.subject
Incidental findings
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dc.subject
research ethics
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dc.subject
epidemiology
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dc.title
Potentially serious incidental findings in the UK Biobank Imaging Study
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dc.type
Thesis or Dissertation
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dc.type.qualificationlevel
Doctoral
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dc.type.qualificationname
PhD Doctor of Philosophy
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