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de Jong KJ, Poon E, Foo M, Maingard J, Kok HK, Barras C, Yazdabadi A, Shaygi B, Fitt GJ, Egan G, Brooks M, Asadi H. Incidental findings in research brain MRI: Definition, prevalence and ethical implications. J Med Imaging Radiat Oncol 2024. [PMID: 39301891 DOI: 10.1111/1754-9485.13744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Accepted: 07/31/2024] [Indexed: 09/22/2024]
Abstract
Radiological incidental findings (IFs) are previously undetected abnormalities which are unrelated to the original indication for imaging and are unexpectedly discovered. In brain magnetic resonance imaging (MRI), the prevalence of IFs is increasing. By reviewing the literature on IFs in brain MRI performed for research purposes and discussing ethical considerations of IFs, this paper provides an overview of brain IF research results and factors contributing to inconsistencies and considers how the consent process can be improved from an ethical perspective. We found that despite extensive literature regarding IFs in research MRI of the brain, there are major inconsistencies in the reported prevalence, ranging from 1.3% to 99%. Many factors appear to contribute to this broad range: lack of standardised definition, participant demographics variance, heterogenous MRI scanner strength and sequences, reporter variation and results classification. We also found significant discrepancies in the review, consent and clinical communication processes pertaining to the ethical nature of these studies. These findings have implications for future studies, particularly those involving artificial intelligence. Further research, particularly in relation to MRI brain IFs would be useful to explore the generalisability of study results.
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Affiliation(s)
- Kenneth J de Jong
- Emergency Department, Epworth Healthcare, Melbourne, Victoria, Australia
| | - Emma Poon
- Department of Imaging, Monash Health, Melbourne, Victoria, Australia
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia
| | - Michelle Foo
- Department of Radiology, Austin Health, Melbourne, Victoria, Australia
| | - Julian Maingard
- School of Medicine, Deakin University, Geelong, Victoria, Australia
- Interventional Radiology, Austin Hospital, Melbourne, Victoria, Australia
- Interventional Radiology, St Vincent's Hospital, Melbourne, Victoria, Australia
- Interventional Radiology, Epworth Hospital, Melbourne, Victoria, Australia
- Endovascular Clot Retrieval (ECR) Service, Austin Hospital, Melbourne, Victoria, Australia
| | - Hong Kuan Kok
- Interventional Radiology Service, Northern Imaging Victoria, Melbourne, Victoria, Australia
- Medicine (Northern Health), Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia
| | - Christen Barras
- Department of Radiology, Royal Adelaide Hospital, Adelaide, South Australia, Australia
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
- The University of Adelaide, Adelaide, South Australia, Australia
| | - Anousha Yazdabadi
- Department of Medical Education, Melbourne Medical School, University of Melbourne, Melbourne, Victoria, Australia
- Monash University, Eastern Health, Melbourne, Victoria, Australia
| | - Benham Shaygi
- London North West University Healthcare NHS Trust, London, UK
| | - Gregory J Fitt
- Department of Radiology, Austin Health, Melbourne, Victoria, Australia
- Department of Medicine and Radiology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia
| | - Gary Egan
- Monash Biomedical Imaging, Monash University, Melbourne, Victoria, Australia
| | - Mark Brooks
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia
- Department of Radiology, Austin Health, Melbourne, Victoria, Australia
- School of Medicine, Deakin University, Geelong, Victoria, Australia
- NeuroInterventional Radiology Unit, Monash Health, Melbourne, Victoria, Australia
- The Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia
| | - Hamed Asadi
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia
- Department of Radiology, Austin Health, Melbourne, Victoria, Australia
- School of Medicine, Deakin University, Geelong, Victoria, Australia
- NeuroInterventional Radiology Unit, Monash Health, Melbourne, Victoria, Australia
- The Florey Institute of Neuroscience and Mental Health, Melbourne, Victoria, Australia
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Powell A, Lam BCP, Foxe D, Close JCT, Sachdev PS, Brodaty H. Frequency of cognitive "super-aging" in three Australian samples using different diagnostic criteria. Int Psychogeriatr 2023:1-17. [PMID: 37997622 DOI: 10.1017/s1041610223000935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2023]
Abstract
OBJECTIVES To investigate the frequency of exceptional cognition (cognitive super-aging) in Australian older adults using different published definitions, agreement between definitions, and the relationship of super-aging status with function, brain imaging markers, and incident dementia. DESIGN Three longitudinal cohort studies. SETTING Participants recruited from the electoral roll, Australian Twins Registry, and community advertisements. PARTICIPANTS Older adults (aged 65-106) without dementia from the Sydney Memory and Ageing Study (n = 1037; median age 78), Older Australian Twins Study (n = 361; median age 68), and Sydney Centenarian Study (n = 217; median age 97). MEASUREMENTS Frequency of super-aging was assessed using nine super-aging definitions based on performance on neuropsychological testing. Levels of agreement between definitions were calculated, and associations between super-aging status for each definition and functioning (Bayer ADL score), structural brain imaging measures, and incident dementia were explored. RESULTS Frequency of super-aging varied between 2.9 and 43.4 percent with more stringent definitions associated with lower frequency. Agreement between different criteria varied from poor (K = 0.04, AC1 = .24) to very good (K = 0.83, AC1 = .91) with better agreement between definitions using similar tests and cutoffs. Super-aging was associated with better functional performance (4.7-11%) and lower rates of incident dementia (hazard ratios 0.08-0.48) for most definitions. Super-aging status was associated with a lower burden of white matter hyperintensities (3.8-33.2%) for all definitions. CONCLUSIONS The frequency of super-aging is strongly affected by the demographic and neuropsychological testing parameters used. Greater consistency in defining super-aging would enable better characterization of this exceptional minority.
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Affiliation(s)
- Alice Powell
- Centre for Healthy Brain Ageing, Discipline of Psychiatry & Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Ben C P Lam
- Centre for Healthy Brain Ageing, Discipline of Psychiatry & Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, NSW, Australia
- School of Psychology and Public Health, La Trobe University, Melbourne, VIC, Australia
| | - David Foxe
- Brain and Mind Centre, The University of Sydney, Sydney, NSW, Australia
| | - Jacqueline C T Close
- Neuroscience Research Australia, University of New South Wales, Sydney, NSW, Australia
- School of Clinical Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, Discipline of Psychiatry & Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, NSW, Australia
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, Discipline of Psychiatry & Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, NSW, Australia
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Prevalence of incidental intracranial findings on magnetic resonance imaging: a systematic review and meta-analysis. Acta Neurochir (Wien) 2022; 164:2751-2765. [PMID: 35525892 PMCID: PMC9519720 DOI: 10.1007/s00701-022-05225-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 04/22/2022] [Indexed: 01/26/2023]
Abstract
BACKGROUND As the volume and fidelity of magnetic resonance imaging (MRI) of the brain increase, observation of incidental findings may also increase. We performed a systematic review and meta-analysis to determine the prevalence of various incidental findings. METHODS PubMed/MEDLINE, EMBASE and SCOPUS were searched from inception to May 24, 2021. We identified 6536 citations and included 35 reports of 34 studies, comprising 40,777 participants. A meta-analysis of proportions was performed, and age-stratified estimates for each finding were derived from age-adjusted non-linear models. RESULTS Vascular abnormalities were observed in 423/35,706 participants (9.1/1000 scans, 95%CI 5.2-14.2), ranging from 2/1000 scans (95%CI 0-7) in 1-year-olds to 16/1000 scans (95%CI 1-43) in 80-year-olds. Of these, 204/34,306 were aneurysms (3.1/1000 scans, 95%CI 1-6.3), which ranged from 0/1000 scans (95%CI 0-5) at 1 year of age to 6/1000 scans (95%CI 3-9) at 60 years. Neoplastic abnormalities were observed in 456/39,040 participants (11.9/1000 scans, 95%CI 7.5-17.2), ranging from 0.2/1000 scans (95%CI 0-10) in 1-year-olds to 34/1000 scans (95%CI 12-66) in 80-year-olds. Meningiomas were the most common, in 246/38,076 participants (5.3/1000 scans, 95%CI 2.3-9.5), ranging from 0/1000 scans (95%CI 0-2) in 1-year-olds to 17/1000 scans (95%CI 4-37) in 80-year-olds. Chiari malformations were observed in 109/27,408 participants (3.7/1000 scans, 95%CI 1.8-6.3), pineal cysts in 1176/32,170 (9/1000 scans, 95%CI 1.8-21.4) and arachnoid cysts in 414/36,367 (8.5/1000 scans, 95%CI 5.8-11.8). CONCLUSION Incidental findings are common on brain MRI and may result in substantial resource expenditure and patient anxiety but are often of little clinical significance.
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Prevalence of incidental meningiomas and gliomas on MRI: a meta-analysis and meta-regression analysis. Acta Neurochir (Wien) 2021; 163:3401-3415. [PMID: 34227013 DOI: 10.1007/s00701-021-04919-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 06/14/2021] [Indexed: 01/24/2023]
Abstract
BACKGROUND The chance of incidentally detecting brain tumors is increasing as the utilization of magnetic resonance imaging (MRI) becomes more prevalent. In this background, knowledge is accumulating in relation to the prediction of their clinical sequence. However, their prevalence-especially the prevalence of glioma-has not been adequately investigated according to age, sex, and region. METHOD We systematically reviewed the articles according to the PRISMA statement and calculated the prevalence of meningiomas and diffuse gliomas in adults using a generalized linear mixed model. Specifically, the differences related to age, sex, and region were investigated. RESULTS The pooled prevalence of incidental meningiomas in MRI studies was 0.52% (95% confidence interval (CI) [0.34-0.78]) in 37,697 individuals from 36 studies. A meta-regression analysis showed that the prevalence was significantly higher in elderly individuals, women, and individuals outside Asia; this remained statistically significant in the multivariate meta-regression analysis. The prevalence reached to 3% at 90 years of age. In contrast, the prevalence of gliomas in 30,918 individuals from 18 studies was 0.064% (95%CI [0.040 - 0.104]). The meta-regression analysis did not show a significant relationship between the prevalence and age, male sex, or region. The prevalence of histologically confirmed glioma was 0.026% (95%CI [0.013-0.052]). CONCLUSIONS Most of meningiomas, especially those in elderlies, remained asymptomatic, and their prevalence increased with age. However, the prevalence of incidental gliomas was much lower and did not increase with age. The number of gliomas that developed and the number that reached a symptomatic stage appeared to be balanced.
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Kerr WT, Lee JK, Karimi AH, Tatekawa H, Hickman LB, Connerney M, Sreenivasan SS, Dubey I, Allas CH, Smith JM, Savic I, Silverman DHS, Hadjiiski LM, Beimer NJ, Stacey WC, Cohen MS, Engel J, Feusner JD, Salamon N, Stern JM. A minority of patients with functional seizures have abnormalities on neuroimaging. J Neurol Sci 2021; 427:117548. [PMID: 34216975 DOI: 10.1016/j.jns.2021.117548] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 06/12/2021] [Accepted: 06/16/2021] [Indexed: 11/17/2022]
Abstract
OBJECTIVE Functional seizures often are managed incorrectly as a diagnosis of exclusion. However, a significant minority of patients with functional seizures may have abnormalities on neuroimaging that typically are associated with epilepsy, leading to diagnostic confusion. We evaluated the rate of epilepsy-associated findings on MRI, FDG-PET, and CT in patients with functional seizures. METHODS We studied radiologists' reports from neuroimages at our comprehensive epilepsy center from a consecutive series of patients diagnosed with functional seizures without comorbid epilepsy from 2006 to 2019. We summarized the MRI, FDG-PET, and CT results as follows: within normal limits, incidental findings, unrelated findings, non-specific abnormalities, post-operative study, epilepsy risk factors (ERF), borderline epilepsy-associated findings (EAF), and definitive EAF. RESULTS Of the 256 MRIs, 23% demonstrated ERF (5%), borderline EAF (8%), or definitive EAF (10%). The most common EAF was hippocampal sclerosis, with the majority of borderline EAF comprising hippocampal atrophy without T2 hyperintensity or vice versa. Of the 87 FDG-PETs, 26% demonstrated borderline EAF (17%) or definitive EAF (8%). Epilepsy-associated findings primarily included focal hypometabolism, especially of the temporal lobes, with borderline findings including subtle or questionable hypometabolism. Of the 51 CTs, only 2% had definitive EAF. SIGNIFICANCE This large case series provides further evidence that, while uncommon, EAF are seen in patients with functional seizures. A significant portion of these abnormal findings are borderline. The moderately high rate of these abnormalities may represent framing bias from the indication of the study being "seizures," the relative subtlety of EAF, or effects of antiseizure medications.
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Affiliation(s)
- Wesley T Kerr
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA.
| | - John K Lee
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Amir H Karimi
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Hiroyuki Tatekawa
- Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - L Brian Hickman
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA; Department of Internal Medicine, University of California at Irvine, Irvine, CA, USA
| | - Michael Connerney
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | | | - Ishita Dubey
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Corinne H Allas
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Jena M Smith
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Ivanka Savic
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA; Department of Women's and Children's Health, Karolinska Institute and Neurology Clinic, Karolinksa University Hospital, Karolinska Universitetssjukhuset, Stockholm, Sweden
| | - Daniel H S Silverman
- Department of Molecular and Medical Pharmacology, University of California Los Angeles, Los Angeles, CA, USA
| | - Lubomir M Hadjiiski
- Department of Radiology, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Nicholas J Beimer
- Department of Neurology, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA; Department of Psychiatry, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
| | - William C Stacey
- Department of Neurology, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
| | - Mark S Cohen
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA; Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA; Departments of Bioengineering, Psychology and Biomedical Physics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Jerome Engel
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA; Department of Neurobiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA; Brain Research Institute, University of California Los Angeles, Los Angeles, CA, USA
| | - Jamie D Feusner
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA; Department of Women's and Children's Health, Karolinska Institute and Neurology Clinic, Karolinksa University Hospital, Karolinska Universitetssjukhuset, Stockholm, Sweden; Centre for Addiction and Mental Health, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada; Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Noriko Salamon
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA; Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - John M Stern
- Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
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Alqarni A, Jiang J, Crawford JD, Koch F, Brodaty H, Sachdev P, Wen W. Sex differences in risk factors for white matter hyperintensities in non-demented older individuals. Neurobiol Aging 2020; 98:197-204. [PMID: 33307330 DOI: 10.1016/j.neurobiolaging.2020.11.001] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 10/28/2020] [Accepted: 11/01/2020] [Indexed: 02/07/2023]
Abstract
White matter hyperintensities (WMH) are generally considered to be associated with cerebral small vessel disease, especially, in older age. Although significant sex differences have been reported in the severity of WMH, it is not yet known if the risk factors for WMH differ in men and women. In this study, magnetic resonance imaging brain scans from 2 Australian cohorts were analyzed to extract WMH volumes. The objective of this study is to examine the moderation effect by sex in the association between known risk factors and WMH. The burden of WMH was significantly higher in women compared to men, especially in the deep WMH (DWMH). In the generalized linear model that included the interaction between sex and body mass index (BMI), there was a differential association of BMI with DWMH in men and women in the exploratory sample, that is, the Sydney Memory and Aging Study, n = 432, aged between 70 and 90. The finding of a higher BMI associated with a higher DWMH in men compared to women was replicated in the Older Australian Twins Study sample, n = 179, aged between 65 and 90. The risk factors of WMH pathology are suggested to have a different impact on the aging brains of men and women.
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Affiliation(s)
- Abdullah Alqarni
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia; Radiology and Medical Imaging Department, College of Applied Medical Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia.
| | - Jiyang Jiang
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - John D Crawford
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Forrest Koch
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Henry Brodaty
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia; Dementia Centre for Research Collaboration, School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Perminder Sachdev
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia; Neuropsychiatric Institute, Prince of Wales Hospital, Randwick, New South Wales, Australia
| | - Wei Wen
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
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Glasmacher SA, Thomas HS, Stirland L, Wilkinson T, Lumsden J, Langlands G, Waddell B, Holloway G, Thompson G, Pal S. Incidental Findings Identified on Head MRI for Investigation of Cognitive Impairment: A Retrospective Review. Dement Geriatr Cogn Disord 2019; 48:123-130. [PMID: 31805574 DOI: 10.1159/000503956] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2019] [Accepted: 10/03/2019] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Incidental findings are common in presumed healthy volunteers but are infrequently studied in patients in a clinical context. OBJECTIVE To determine the prevalence, nature, and management implications of incidental findings on head MRI in patients presenting with cognitive symptoms, and to quantify and describe unexpected MRI abnormalities that are of uncertain relevance to the patient's cognitive symptoms. METHODS A single-centre retrospective review of patients attending a regional early-onset cognitive disorders clinic between March 2012 and October 2018. Medical records of consecutive patients who underwent head MRI were reviewed. Unexpected MRI findings were classified according to their severity and likelihood of being incidental. Markers of small vessel disease and cerebral atrophy were excluded. RESULTS Records of 694 patients were reviewed (median age 60 years, 49.9% female), of whom 514 (74.1%) underwent head MRI. 54% of the patients received a diagnosis of a neurodegenerative disorder. Overall 111 incidental findings were identified in 100 patients of whom 18 patients (3.5%, 95% CI 2.2-5.6%) had 18 incidental findings classified as requiring additional medical evaluation. 82 patients (16%, 95% CI 13.0-19.5%) had 93 incidental findings without clearly defined diagnostic consequences. 17 patients (3.3%) underwent further investigations, 14 patients (2.7%) were referred to another specialist clinic and 3 patients (0.6%) were treated surgically. Two patients had MRI findings of uncertain relevance to their cognitive symptoms, necessitating prolonged clinic follow-up. CONCLUSION Incidental findings are common in patients with cognitive impairment from this large clinic-based series; however, few required additional medical evaluation. These data could help inform discussions between clinicians and people with cognitive symptoms regarding the likelihood and potential implications of incidental imaging findings.
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Affiliation(s)
| | - Hannah Sam Thomas
- College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Lucy Stirland
- Division of Psychiatry, University of Edinburgh, Kennedy Tower, Royal Edinburgh Hospital, Edinburgh, United Kingdom
| | - Tim Wilkinson
- Centre for Clinical Brain Sciences, Chancellor's Building, Edinburgh, United Kingdom
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom
| | - Jane Lumsden
- Centre for Clinical Brain Sciences, Chancellor's Building, Edinburgh, United Kingdom
| | - Gavin Langlands
- Centre for Clinical Brain Sciences, Chancellor's Building, Edinburgh, United Kingdom
| | - Briony Waddell
- Department of Neurology, Ninewells Hospital, Dundee, United Kingdom
| | - Guy Holloway
- Department of Old Age Psychiatry, NHS Lothian, Morningside, Royal Edinburgh Hospital, Edinburgh, United Kingdom
- Anne Rowling Regenerative Neurology Clinic, Royal Infirmary of Edinburgh, Edinburgh, United Kingdom
| | - Gerard Thompson
- Centre for Clinical Brain Sciences, Chancellor's Building, Edinburgh, United Kingdom
| | - Suvankar Pal
- Centre for Clinical Brain Sciences, Chancellor's Building, Edinburgh, United Kingdom,
- Anne Rowling Regenerative Neurology Clinic, Royal Infirmary of Edinburgh, Edinburgh, United Kingdom,
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van de Kreeke JA, Nguyen HT, Konijnenberg E, Tomassen J, den Braber A, Ten Kate M, Sudre CH, Barkhof F, Boomsma DI, Tan HS, Verbraak FD, Visser PJ. Retinal and Cerebral Microvasculopathy: Relationships and Their Genetic Contributions. Invest Ophthalmol Vis Sci 2019; 59:5025-5031. [PMID: 30326071 DOI: 10.1167/iovs.18-25341] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Purpose Retinal microvasculopathy may reflect small vessel disease in the brain. Here we test the relationships between retinal vascular parameters and small vessel disease, the influence of cardiovascular risk factors on these relationships, and their common genetic background in a monozygotic twin cohort. Methods We selected 134 cognitively healthy individuals (67 monozygotic twin pairs) aged ≥60 years from the Netherlands Twin Register for the EMIF-AD PreclinAD study. We measured seven retinal vascular parameters averaged over both eyes using fundus images analyzed with Singapore I Vessel Assessment. Small vessel disease was assessed on MRI by a volumetric measurement of periventricular and deep white matter hyperintensities. We calculated associations between RVPs and WMH, estimated intratwin pair correlations, and performed twin-specific analyses on relationships of interest. Results Deep white matter hyperintensities volume was positively associated with retinal tortuosity in veins (P = 0.004) and fractal dimension in arteries (P = 0.001) and veins (P = 0.032), periventricular white matter hyperintensities volume was positively associated with retinal venous width (P = 0.028). Intratwin pair correlations were moderate to high for all small vessel disease/retinal vascular parameter variables (r = 0.49-0.87, P < 0.001). Cross-twin cross-trait analyses showed that retinal venous tortuosity of twin 1 could predict deep white matter hyperintensities volume of the co-twin (r = 0.23, P = 0.030). Within twin-pair differences for retinal venous tortuosity were associated with within twin-pair differences in deep white matter hyperintensities volume (r = 0.39, P = 0.001). Conclusions Retinal arterial fractal dimension and venous tortuosity have associations with deep white matter hyperintensities volume. Twin-specific analyses suggest that retinal venous tortuosity and deep white matter hyperintensities volume have a common etiology driven by both shared genetic factors and unique environmental factors, supporting the robustness of this relationship.
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Affiliation(s)
- Jacoba A van de Kreeke
- Ophthalmology Department, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - H Ton Nguyen
- Ophthalmology Department, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Elles Konijnenberg
- Alzheimer Center, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Jori Tomassen
- Alzheimer Center, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Anouk den Braber
- Alzheimer Center, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Mara Ten Kate
- Alzheimer Center, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Carole H Sudre
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.,Dementia Research Centre, Institute of Neurology, University College London, London, United Kingdom
| | - Frederik Barkhof
- Radiology Department, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Netherlands Twin Register, Amsterdam, Netherlands
| | - H Stevie Tan
- Ophthalmology Department, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Frank D Verbraak
- Ophthalmology Department, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Pieter Jelle Visser
- Alzheimer Center, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
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