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Abstract Details

Incidental Findings on Brain Magnetic Resonance Imaging
General Neurology
S57 - General Neurology: Diagnostic Testing and Disease Biomarkers (3:42 PM-3:54 PM)
002
To summarise the incidental findings detected on brain magnetic resonance imaging (MRI) during the Insight 46 study.
Incidental findings are often discovered when conducting research. They can lead to anxiety and further unnecessary and invasive procedures. Knowledge of the expected prevalence of incidental findings is important, allowing researchers to be better prepared for managing them, and enabling study participants to be appropriately informed as part of the consent process. It is also helpful in clinical practice, where it can facilitate management decisions. For example, knowing the probability of detecting an abnormality unrelated to a patient's symptoms might influence a clinician's decision to recommend a brain scan in a patient presenting with a benign-sounding headache, or prompt discussion with the patient regarding the pros and cons of scanning.
502 individuals, recruited from the MRC National Survey for Health and Development (1946 British birth cohort), underwent brain imaging on a 3 Tesla PET/MRI scanner. Structural MRI sequences were reviewed by a consultant neuroradiologist who flagged any potentially serious findings using a prespecified list of reportable abnormalities. Data regarding the number and types of incidental findings were summarised as counts and percentages.
Mean age was 70.7 (SD 0.7); 49% were female. 4.5% of scanned participants had a pre-defined reportable abnormality (n=21). Suspected vascular malformations and suspected intracranial mass lesions were present in 1.9% (n=9) and 1.5% (n=7) respectively. Suspected cerebral aneurysms were the single most common vascular abnormality, affecting 1.1% of participants (n=5). Suspected meningiomas were the most common intracranial lesion, affecting 0.6% of participants (n=3).
Potentially serious brain MRI findings were detected in around 5% of participants aged around 70. Knowledge of the expected prevalence of incidental findings in the general population at this age is useful in both research and clinical settings.

Keuss SE, et al. BMJ Open 2019;9:e029502. doi: 10.1136/bmjopen-2019-029502
Authors/Disclosures
Sarah E. Keuss, MBChB (UCL Dementia Research Centre)
PRESENTER
No disclosure on file
Thomas Parker, PhD, BMBCh, MRCP Dr. Parker has nothing to disclose.
Christopher Lane Christopher Lane has received personal compensation for serving as an employee of Roche Products Limited. Christopher Lane has stock in F. Hoffman-La Roche Ltd.
No disclosure on file
No disclosure on file
No disclosure on file
No disclosure on file
Sarah Buchanan, MD (Dunedin Public Hopital) No disclosure on file
No disclosure on file
No disclosure on file
No disclosure on file
No disclosure on file
Jessica Collins, PhD (Massachusetts General Hospital) No disclosure on file
No disclosure on file
No disclosure on file
No disclosure on file
No disclosure on file
Marcus Richards, PhD (MRC Natl Survey of Health &Dev) No disclosure on file
No disclosure on file
Jonathan Schott, MD, FRCP, FEAN, FAAN, FAAN (Dementia Research Centre) Dr. Schott has received personal compensation in the range of $10,000-$49,999 for serving as a Consultant for Alzheimer's Research UK. Dr. Schott has received personal compensation in the range of $10,000-$49,999 for serving as a Consultant for UK Dementia Research Institute. Dr. Schott has received personal compensation in the range of $5,000-$9,999 for serving on a Speakers Bureau for Biogen. Dr. Schott has received personal compensation in the range of $500-$4,999 for serving on a Speakers Bureau for GE. Dr. Schott has received personal compensation in the range of $500-$4,999 for serving as an Editor, Associate Editor, or Editorial Advisory Board Member for Oxford University Press.