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Zonneveld HI, Ikram MA, Hofman A, Niessen WJ, van der Lugt A, Krestin GP, Franco OH, Vernooij MW. N-Terminal Pro-B-Type Natriuretic Peptide and Subclinical Brain Damage in the General Population. Radiology 2016; 283:205-214. [PMID: 27924720 DOI: 10.1148/radiol.2016160548] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Purpose To investigate the association between N-terminal pro-B-type natriuretic peptide (NT-proBNP), which is a marker of heart disease, and markers of subclinical brain damage on magnetic resonance (MR) images in community-dwelling middle-aged and elderly subjects without dementia and without a clinical diagnosis of heart disease. Materials and Methods This prospective population-based cohort study was approved by a medical ethics committee overseen by the national government, and all participants gave written informed consent. Serum levels of NT-proBNP were measured in 2397 participants without dementia or stroke (mean age, 56.6 years; age range, 45.7-87.3 years) and without clinical diagnosis of heart disease who were drawn from the population-based Rotterdam Study. All participants were examined with a 1.5-T MR imager. Multivariable linear and logistic regression analyses were used to investigate the association between NT-proBNP level and MR imaging markers of subclinical brain damage, including volumetric, focal, and microstructural markers. Results A higher NT-proBNP level was associated with smaller total brain volume (mean difference in z score per standard deviation increase in NT-proBNP level, -0.021; 95% confidence interval [CI]: -0.034, -0.007; P = .003) and was predominantly driven by gray matter volume (mean difference in z score per standard deviation increase in NT-proBNP level, -0.037; 95% CI: -0.057, -0.017; P < .001). Higher NT-proBNP level was associated with larger white matter lesion volume (mean difference in z score per standard deviation increase in NT-proBNP level, 0.090; 95% CI: 0.051, 0.129; P < .001), with lower fractional anisotropy (mean difference in z score per standard deviation increase in NT-proBNP level, -0.048; 95% CI: -0.088, -0.008; P = .019) and higher mean diffusivity (mean difference in z score per standard deviation increase in NT-proBNP level, 0.054; 95% CI: 0.018, 0.091; P = .004) of normal-appearing white matter. Conclusion In community-dwelling persons, higher serum NT-proBNP levels are associated with volumetric and microstructural MR imaging markers of subclinical brain damage. © RSNA, 2016 Online supplemental material is available for this article.
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Affiliation(s)
- Hazel I Zonneveld
- From the Departments of Epidemiology (H.I.Z., M.A.I., A.H., O.H.F., M.W.V.), Radiology and Nuclear Medicine (H.I.Z., M.A.I., W.J.N., A.v.d.L., G.P.K., M.W.V.), Neurology (M.A.I.), and Medical Informatics (W.J.N.), Erasmus MC, University Medical Center Rotterdam, Room Na28-18, PO Box 2040, 3000 CA Rotterdam, the Netherlands; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Mass (A.H.); and Department of Imaging Physics, Faculty of Applied Sciences, Delft University of Technology, Delft, the Netherlands (W.J.N.)
| | - M Arfan Ikram
- From the Departments of Epidemiology (H.I.Z., M.A.I., A.H., O.H.F., M.W.V.), Radiology and Nuclear Medicine (H.I.Z., M.A.I., W.J.N., A.v.d.L., G.P.K., M.W.V.), Neurology (M.A.I.), and Medical Informatics (W.J.N.), Erasmus MC, University Medical Center Rotterdam, Room Na28-18, PO Box 2040, 3000 CA Rotterdam, the Netherlands; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Mass (A.H.); and Department of Imaging Physics, Faculty of Applied Sciences, Delft University of Technology, Delft, the Netherlands (W.J.N.)
| | - Albert Hofman
- From the Departments of Epidemiology (H.I.Z., M.A.I., A.H., O.H.F., M.W.V.), Radiology and Nuclear Medicine (H.I.Z., M.A.I., W.J.N., A.v.d.L., G.P.K., M.W.V.), Neurology (M.A.I.), and Medical Informatics (W.J.N.), Erasmus MC, University Medical Center Rotterdam, Room Na28-18, PO Box 2040, 3000 CA Rotterdam, the Netherlands; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Mass (A.H.); and Department of Imaging Physics, Faculty of Applied Sciences, Delft University of Technology, Delft, the Netherlands (W.J.N.)
| | - Wiro J Niessen
- From the Departments of Epidemiology (H.I.Z., M.A.I., A.H., O.H.F., M.W.V.), Radiology and Nuclear Medicine (H.I.Z., M.A.I., W.J.N., A.v.d.L., G.P.K., M.W.V.), Neurology (M.A.I.), and Medical Informatics (W.J.N.), Erasmus MC, University Medical Center Rotterdam, Room Na28-18, PO Box 2040, 3000 CA Rotterdam, the Netherlands; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Mass (A.H.); and Department of Imaging Physics, Faculty of Applied Sciences, Delft University of Technology, Delft, the Netherlands (W.J.N.)
| | - Aad van der Lugt
- From the Departments of Epidemiology (H.I.Z., M.A.I., A.H., O.H.F., M.W.V.), Radiology and Nuclear Medicine (H.I.Z., M.A.I., W.J.N., A.v.d.L., G.P.K., M.W.V.), Neurology (M.A.I.), and Medical Informatics (W.J.N.), Erasmus MC, University Medical Center Rotterdam, Room Na28-18, PO Box 2040, 3000 CA Rotterdam, the Netherlands; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Mass (A.H.); and Department of Imaging Physics, Faculty of Applied Sciences, Delft University of Technology, Delft, the Netherlands (W.J.N.)
| | - Gabriel P Krestin
- From the Departments of Epidemiology (H.I.Z., M.A.I., A.H., O.H.F., M.W.V.), Radiology and Nuclear Medicine (H.I.Z., M.A.I., W.J.N., A.v.d.L., G.P.K., M.W.V.), Neurology (M.A.I.), and Medical Informatics (W.J.N.), Erasmus MC, University Medical Center Rotterdam, Room Na28-18, PO Box 2040, 3000 CA Rotterdam, the Netherlands; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Mass (A.H.); and Department of Imaging Physics, Faculty of Applied Sciences, Delft University of Technology, Delft, the Netherlands (W.J.N.)
| | - Oscar H Franco
- From the Departments of Epidemiology (H.I.Z., M.A.I., A.H., O.H.F., M.W.V.), Radiology and Nuclear Medicine (H.I.Z., M.A.I., W.J.N., A.v.d.L., G.P.K., M.W.V.), Neurology (M.A.I.), and Medical Informatics (W.J.N.), Erasmus MC, University Medical Center Rotterdam, Room Na28-18, PO Box 2040, 3000 CA Rotterdam, the Netherlands; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Mass (A.H.); and Department of Imaging Physics, Faculty of Applied Sciences, Delft University of Technology, Delft, the Netherlands (W.J.N.)
| | - Meike W Vernooij
- From the Departments of Epidemiology (H.I.Z., M.A.I., A.H., O.H.F., M.W.V.), Radiology and Nuclear Medicine (H.I.Z., M.A.I., W.J.N., A.v.d.L., G.P.K., M.W.V.), Neurology (M.A.I.), and Medical Informatics (W.J.N.), Erasmus MC, University Medical Center Rotterdam, Room Na28-18, PO Box 2040, 3000 CA Rotterdam, the Netherlands; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Mass (A.H.); and Department of Imaging Physics, Faculty of Applied Sciences, Delft University of Technology, Delft, the Netherlands (W.J.N.)
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Evans TE, O’Sullivan MJ, de Groot M, Niessen WJ, Hofman A, Krestin GP, van der Lugt A, Portegies ML, Koudstaal PJ, Bos D, Vernooij MW, Ikram MA. White Matter Microstructure Improves Stroke Risk Prediction in the General Population. Stroke 2016; 47:2756-2762. [DOI: 10.1161/strokeaha.116.014651] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2016] [Accepted: 08/26/2016] [Indexed: 01/01/2023]
Abstract
Background and Purpose—
The presence of subclinical vascular brain disease, including white matter lesions and lacunar infarcts, substantially increases the risk of clinical stroke. White matter microstructural integrity is considered an earlier, potentially better, marker of the total burden of vascular brain disease. Its association with risk of stroke, a focal event, remains unknown.
Methods—
From the population-based Rotterdam Study, 4259 stroke-free participants (mean age: 63.6 years, 55.6% women) underwent brain magnetic resonance imaging, including diffusion magnetic resonance imaging, between 2006 and 2011. All participants were followed up for incident stroke until 2013. Cox proportional hazards models were used to associate markers of the microstructure of normal-appearing white matter with risk of stroke, adjusting for age, sex, white matter lesion volume, lacunar infarcts, and additionally for cardiovascular risk factors. Finally, we assessed the predictive value of white matter microstructural integrity for stroke beyond the Framingham Stroke Risk Profile.
Results—
During 18 476 person-years of follow-up, 58 people experienced a stroke. Both lower fractional anisotropy and higher MD increased risk of stroke, independent of age, sex, cardiovascular risk factors, white matter lesion volume, and lacunar infarcts (hazard ratio per SD increase in: fractional anisotropy: 0.75 [95% confidence interval, 0.57–0.98] and MD: 1.50 [95% confidence interval, 1.08–2.09]). MD improved stroke prediction beyond the Framingham Stroke Risk Profile (continuous net reclassification improvement: 0.52 [95% confidence interval, 0.24–0.81]).
Conclusions—
Future stroke is predicted not only by prevalent vascular lesions but also by subtle alterations in the microstructure of normal-appearing white matter. Inclusion of this effect in risk prediction models produces a significant advantage in stroke prediction compared with the existing Framingham Stroke Risk Profile.
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Affiliation(s)
- Tavia E. Evans
- From the Department of Epidemiology (T.E.E., M.d.G., A.H., M.L.P.P., D.B., M.W.V., M.A.I.), Department of Radiology and Nuclear Medicine (T.E.E., M.d.G., W.J.N., G.P.K., A.v.d.L., D.B., M.W.V., M.A.I.), Department of Medical Informatics (M.d.G., W.J.N.), and Department of Neurology (M.L.P.P., P.J.K., M.A.I.), Erasmus MC, Rotterdam, The Netherlands; Department of Basic and Clinical Neurosciences, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, United Kingdom (T.E.E., M.J.O
| | - Michael J. O’Sullivan
- From the Department of Epidemiology (T.E.E., M.d.G., A.H., M.L.P.P., D.B., M.W.V., M.A.I.), Department of Radiology and Nuclear Medicine (T.E.E., M.d.G., W.J.N., G.P.K., A.v.d.L., D.B., M.W.V., M.A.I.), Department of Medical Informatics (M.d.G., W.J.N.), and Department of Neurology (M.L.P.P., P.J.K., M.A.I.), Erasmus MC, Rotterdam, The Netherlands; Department of Basic and Clinical Neurosciences, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, United Kingdom (T.E.E., M.J.O
| | - Marius de Groot
- From the Department of Epidemiology (T.E.E., M.d.G., A.H., M.L.P.P., D.B., M.W.V., M.A.I.), Department of Radiology and Nuclear Medicine (T.E.E., M.d.G., W.J.N., G.P.K., A.v.d.L., D.B., M.W.V., M.A.I.), Department of Medical Informatics (M.d.G., W.J.N.), and Department of Neurology (M.L.P.P., P.J.K., M.A.I.), Erasmus MC, Rotterdam, The Netherlands; Department of Basic and Clinical Neurosciences, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, United Kingdom (T.E.E., M.J.O
| | - Wiro J. Niessen
- From the Department of Epidemiology (T.E.E., M.d.G., A.H., M.L.P.P., D.B., M.W.V., M.A.I.), Department of Radiology and Nuclear Medicine (T.E.E., M.d.G., W.J.N., G.P.K., A.v.d.L., D.B., M.W.V., M.A.I.), Department of Medical Informatics (M.d.G., W.J.N.), and Department of Neurology (M.L.P.P., P.J.K., M.A.I.), Erasmus MC, Rotterdam, The Netherlands; Department of Basic and Clinical Neurosciences, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, United Kingdom (T.E.E., M.J.O
| | - Albert Hofman
- From the Department of Epidemiology (T.E.E., M.d.G., A.H., M.L.P.P., D.B., M.W.V., M.A.I.), Department of Radiology and Nuclear Medicine (T.E.E., M.d.G., W.J.N., G.P.K., A.v.d.L., D.B., M.W.V., M.A.I.), Department of Medical Informatics (M.d.G., W.J.N.), and Department of Neurology (M.L.P.P., P.J.K., M.A.I.), Erasmus MC, Rotterdam, The Netherlands; Department of Basic and Clinical Neurosciences, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, United Kingdom (T.E.E., M.J.O
| | - Gabriel P. Krestin
- From the Department of Epidemiology (T.E.E., M.d.G., A.H., M.L.P.P., D.B., M.W.V., M.A.I.), Department of Radiology and Nuclear Medicine (T.E.E., M.d.G., W.J.N., G.P.K., A.v.d.L., D.B., M.W.V., M.A.I.), Department of Medical Informatics (M.d.G., W.J.N.), and Department of Neurology (M.L.P.P., P.J.K., M.A.I.), Erasmus MC, Rotterdam, The Netherlands; Department of Basic and Clinical Neurosciences, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, United Kingdom (T.E.E., M.J.O
| | - Aad van der Lugt
- From the Department of Epidemiology (T.E.E., M.d.G., A.H., M.L.P.P., D.B., M.W.V., M.A.I.), Department of Radiology and Nuclear Medicine (T.E.E., M.d.G., W.J.N., G.P.K., A.v.d.L., D.B., M.W.V., M.A.I.), Department of Medical Informatics (M.d.G., W.J.N.), and Department of Neurology (M.L.P.P., P.J.K., M.A.I.), Erasmus MC, Rotterdam, The Netherlands; Department of Basic and Clinical Neurosciences, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, United Kingdom (T.E.E., M.J.O
| | - Marileen L.P. Portegies
- From the Department of Epidemiology (T.E.E., M.d.G., A.H., M.L.P.P., D.B., M.W.V., M.A.I.), Department of Radiology and Nuclear Medicine (T.E.E., M.d.G., W.J.N., G.P.K., A.v.d.L., D.B., M.W.V., M.A.I.), Department of Medical Informatics (M.d.G., W.J.N.), and Department of Neurology (M.L.P.P., P.J.K., M.A.I.), Erasmus MC, Rotterdam, The Netherlands; Department of Basic and Clinical Neurosciences, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, United Kingdom (T.E.E., M.J.O
| | - Peter J. Koudstaal
- From the Department of Epidemiology (T.E.E., M.d.G., A.H., M.L.P.P., D.B., M.W.V., M.A.I.), Department of Radiology and Nuclear Medicine (T.E.E., M.d.G., W.J.N., G.P.K., A.v.d.L., D.B., M.W.V., M.A.I.), Department of Medical Informatics (M.d.G., W.J.N.), and Department of Neurology (M.L.P.P., P.J.K., M.A.I.), Erasmus MC, Rotterdam, The Netherlands; Department of Basic and Clinical Neurosciences, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, United Kingdom (T.E.E., M.J.O
| | - Daniel Bos
- From the Department of Epidemiology (T.E.E., M.d.G., A.H., M.L.P.P., D.B., M.W.V., M.A.I.), Department of Radiology and Nuclear Medicine (T.E.E., M.d.G., W.J.N., G.P.K., A.v.d.L., D.B., M.W.V., M.A.I.), Department of Medical Informatics (M.d.G., W.J.N.), and Department of Neurology (M.L.P.P., P.J.K., M.A.I.), Erasmus MC, Rotterdam, The Netherlands; Department of Basic and Clinical Neurosciences, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, United Kingdom (T.E.E., M.J.O
| | - Meike W. Vernooij
- From the Department of Epidemiology (T.E.E., M.d.G., A.H., M.L.P.P., D.B., M.W.V., M.A.I.), Department of Radiology and Nuclear Medicine (T.E.E., M.d.G., W.J.N., G.P.K., A.v.d.L., D.B., M.W.V., M.A.I.), Department of Medical Informatics (M.d.G., W.J.N.), and Department of Neurology (M.L.P.P., P.J.K., M.A.I.), Erasmus MC, Rotterdam, The Netherlands; Department of Basic and Clinical Neurosciences, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, United Kingdom (T.E.E., M.J.O
| | - M. Arfan Ikram
- From the Department of Epidemiology (T.E.E., M.d.G., A.H., M.L.P.P., D.B., M.W.V., M.A.I.), Department of Radiology and Nuclear Medicine (T.E.E., M.d.G., W.J.N., G.P.K., A.v.d.L., D.B., M.W.V., M.A.I.), Department of Medical Informatics (M.d.G., W.J.N.), and Department of Neurology (M.L.P.P., P.J.K., M.A.I.), Erasmus MC, Rotterdam, The Netherlands; Department of Basic and Clinical Neurosciences, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, United Kingdom (T.E.E., M.J.O
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Bos D, Poels MMF, Adams HHH, Akoudad S, Cremers LGM, Zonneveld HI, Hoogendam YY, Verhaaren BFJ, Verlinden VJA, Verbruggen JGJ, Peymani A, Hofman A, Krestin GP, Vincent AJ, Feelders RA, Koudstaal PJ, van der Lugt A, Ikram MA, Vernooij MW. Prevalence, Clinical Management, and Natural Course of Incidental Findings on Brain MR Images: The Population-based Rotterdam Scan Study. Radiology 2016; 281:507-515. [DOI: 10.1148/radiol.2016160218] [Citation(s) in RCA: 83] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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154
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Bonati M, Vanelli C, Sangalli D, Sina C, Giardino D, Sassone J, Girotti F, Silani V, Ciammola A. Cerebral microbleeds: A new presenting feature of chromosome 22q11.2 deletion syndrome. J Neurol Sci 2016; 368:300-3. [DOI: 10.1016/j.jns.2016.07.044] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2016] [Revised: 06/16/2016] [Accepted: 07/18/2016] [Indexed: 10/21/2022]
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155
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Hoogendijk EO, Deeg DJH, Poppelaars J, van der Horst M, Broese van Groenou MI, Comijs HC, Pasman HRW, van Schoor NM, Suanet B, Thomése F, van Tilburg TG, Visser M, Huisman M. The Longitudinal Aging Study Amsterdam: cohort update 2016 and major findings. Eur J Epidemiol 2016; 31:927-45. [PMID: 27544533 PMCID: PMC5010587 DOI: 10.1007/s10654-016-0192-0] [Citation(s) in RCA: 147] [Impact Index Per Article: 18.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2016] [Accepted: 08/13/2016] [Indexed: 12/14/2022]
Abstract
The Longitudinal Aging Study Amsterdam (LASA) is an ongoing longitudinal study of older adults in the Netherlands, which started in 1992. LASA is focused on the determinants, trajectories and consequences of physical, cognitive, emotional and social functioning. The study is based on a nationally representative sample of older adults aged 55 years and over. The findings of the LASA study have been reported in over 450 publications so far (see www.lasa-vu.nl ). In this article we describe the background and the design of the LASA study, and provide an update of the methods. In addition, we provide a summary of the major findings from the period 2011-2015.
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Affiliation(s)
- Emiel O Hoogendijk
- Department of Epidemiology and Biostatistics, EMGO + Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands.
| | - Dorly J H Deeg
- Department of Epidemiology and Biostatistics, EMGO + Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - Jan Poppelaars
- Department of Epidemiology and Biostatistics, EMGO + Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
- Department of Sociology, VU University, Amsterdam, The Netherlands
| | - Marleen van der Horst
- Department of Epidemiology and Biostatistics, EMGO + Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | | | - Hannie C Comijs
- Department of Psychiatry, EMGO + Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - H Roeline W Pasman
- Department of Public and Occupational Health, EMGO + Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - Natasja M van Schoor
- Department of Epidemiology and Biostatistics, EMGO + Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - Bianca Suanet
- Department of Sociology, VU University, Amsterdam, The Netherlands
| | - Fleur Thomése
- Department of Sociology, VU University, Amsterdam, The Netherlands
| | | | - Marjolein Visser
- Department of Health Sciences, Faculty of Earth and Life Sciences, EMGO + Institute for Health and Care Research, VU University, Amsterdam, The Netherlands
- Department of Internal Medicine, Nutrition and Dietetics, VU University Medical Center, Amsterdam, The Netherlands
| | - Martijn Huisman
- Department of Epidemiology and Biostatistics, EMGO + Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
- Department of Sociology, VU University, Amsterdam, The Netherlands
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156
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Frangi AF, Taylor ZA, Gooya A. Precision Imaging: more descriptive, predictive and integrative imaging. Med Image Anal 2016; 33:27-32. [PMID: 27373145 DOI: 10.1016/j.media.2016.06.024] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2016] [Revised: 06/15/2016] [Accepted: 06/15/2016] [Indexed: 12/22/2022]
Abstract
Medical image analysis has grown into a matured field challenged by progress made across all medical imaging technologies and more recent breakthroughs in biological imaging. The cross-fertilisation between medical image analysis, biomedical imaging physics and technology, and domain knowledge from medicine and biology has spurred a truly interdisciplinary effort that stretched outside the original boundaries of the disciplines that gave birth to this field and created stimulating and enriching synergies. Consideration on how the field has evolved and the experience of the work carried out over the last 15 years in our centre, has led us to envision a future emphasis of medical imaging in Precision Imaging. Precision Imaging is not a new discipline but rather a distinct emphasis in medical imaging borne at the cross-roads between, and unifying the efforts behind mechanistic and phenomenological model-based imaging. It captures three main directions in the effort to deal with the information deluge in imaging sciences, and thus achieve wisdom from data, information, and knowledge. Precision Imaging is finally characterised by being descriptive, predictive and integrative about the imaged object. This paper provides a brief and personal perspective on how the field has evolved, summarises and formalises our vision of Precision Imaging for Precision Medicine, and highlights some connections with past research and current trends in the field.
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Affiliation(s)
- Alejandro F Frangi
- CISTIB Centre for Computational Imaging & Simulation Technologies in Biomedicine, Electronic and Electrical Engineering Department, University of Sheffield, Sheffield, UK.
| | - Zeike A Taylor
- CISTIB Centre for Computational Imaging & Simulation Technologies in Biomedicine, Mechanical Engineering Department, University of Sheffield, Sheffield, UK.
| | - Ali Gooya
- CISTIB Centre for Computational Imaging & Simulation Technologies in Biomedicine, Electronic and Electrical Engineering Department, University of Sheffield, Sheffield, UK.
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157
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Akoudad S, Ikram MA, Portegies MLP, Adams HH, Bos D, Hofman A, Koudstaal PJ, Uitterlinden AG, van der Lugt A, van Duijn CM, Vernooij MW. Genetic loci for serum lipid fractions and intracerebral hemorrhage. Atherosclerosis 2016; 246:287-92. [PMID: 26820804 DOI: 10.1016/j.atherosclerosis.2016.01.024] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2015] [Revised: 01/11/2016] [Accepted: 01/15/2016] [Indexed: 11/26/2022]
Abstract
BACKGROUND Serum total cholesterol and its fractions are inversely associated with intracerebral hemorrhages (ICH) and their potential subclinical precursor, cerebral microbleeds. To ascertain whether there is a genetic basis for this inverse association, we studied established genetic loci for serum total, LDL, and HDL cholesterol, and triglycerides in their association with ICH and microbleeds. METHODS Data on 161 genetic variants for serum lipids was collected in 9011 stroke-free participants (mean age 65.8, SD 10.2; 57.9% women) of the population-based Rotterdam Study. Participants were followed from baseline (1997-2005) up to 2013 for the occurrence of ICH. A subset of 4179 participants underwent brain MRI for microbleed assessment between 2005 and 2011. We computed genetic risk scores (GRS) for the joint effect of lipid variants. Cox proportional hazards and logistic regression models were used to investigate the association of GRS of lipid fractions with ICH and microbleeds. RESULTS After a mean follow-up of 8.7 (SD 4.1) years, 67 (0.7%) participants suffered an ICH. Microbleed prevalence was 19.6%. Higher genetic load for high serum total and LDL cholesterol was associated with an increased risk of ICH. Higher genetic load for high serum LDL cholesterol was borderline associated with a higher prevalence of multiple lobar microbleeds. CONCLUSIONS Genetic susceptibility for high serum total and LDL cholesterol is positively associated with incident ICH and borderline associated with multiple lobar microbleeds. We did not find a genetic basis for the previously reported inverse association between serum lipid levels and ICH.
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Affiliation(s)
- Saloua Akoudad
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands; Department of Radiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands; Department of Neurology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands; Department of Radiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands; Department of Neurology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Marileen L P Portegies
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands; Department of Neurology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Hieab H Adams
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands; Department of Radiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Daniel Bos
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands; Department of Radiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Albert Hofman
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Peter J Koudstaal
- Department of Neurology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Andre G Uitterlinden
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands; Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Aad van der Lugt
- Department of Radiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands; Department of Radiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands.
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