Incidental findings on cerebral MRI in twins: the Older Australian Twins Study.
Rebecca KonczAdith MohanLaughlin DawesAnbupalam ThalamuthuMargaret WrightDavid AmesTeresa LeeJulian TrollorWei WenPerminder SachdevPublished in: Brain imaging and behavior (2019)
Incidental findings on structural cerebral magnetic resonance imaging (MRI) are common in healthy subjects, and the prevalence increases with age. There is a paucity of data regarding incidental cerebral findings in twins. We examined brain MRI data acquired from community-dwelling older twins to determine the prevalence and concordance of incidental cerebral findings, as well as the associated clinical implications. Participants (n = 400) were drawn from the Older Australian Twins Study. T1-weighted and T2-weighted fluid-attenuated inversion recovery (FLAIR) cerebral MRI scans were systematically reviewed by a trained, blinded clinician. Incidental findings were recorded according to pre-determined categories, and the diagnosis confirmed by an experienced neuroradiologist. Periventricular and deep white matter hyperintensities (WMH) were scored visually. WMH heritability was calculated for those with the twin pair included in the study (n = 320 individuals; monozygotic (MZ) = 92 twin pairs, dizygotic (DZ) = 68 twin pairs). Excluding infarcts and WMH, a total of 47 (11.75%) incidental abnormalities were detected. The most common findings were hyperostosis frontalis interna (8 participants; 2%), meningiomas, (6 participants; 1.5%), and intracranial lipomas (5 participants; 1.25%). Only 3% of participants were referred for follow-up. Four twin pairs, all monozygotic, had lesions concordant with their twin. Periventricular WMH was moderately heritable (0.61, CI 0.43-0.75, p = 7.21E-08) and deep WMH highly heritable (0.80, CI 0.66-0.88, p = 1.76E-13). As in the general population, incidental findings on cerebral MRI in older twins are common, although concordance rates are low. Such findings can alter the clinical outcome of participants, and should be anticipated by researchers when designing trials involving cerebral imaging.
Keyphrases
- contrast enhanced
- magnetic resonance imaging
- community dwelling
- subarachnoid hemorrhage
- white matter
- computed tomography
- diffusion weighted imaging
- cerebral ischemia
- physical activity
- magnetic resonance
- middle aged
- high resolution
- risk factors
- multiple sclerosis
- clinical trial
- photodynamic therapy
- cerebral blood flow
- deep learning
- body composition
- big data
- network analysis
- mass spectrometry
- resting state
- data analysis