Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where E.J. van Dijk is active.

Publication


Featured researches published by E.J. van Dijk.


European Journal of Neurology | 2013

Etiology of first‐ever ischaemic stroke in European young adults: the 15 cities young stroke study

N. Yesilot Barlas; Jukka Putaala; Ulrike Waje-Andreassen; Sofia Vassilopoulou; Katiuscia Nardi; Céline Odier; Gergely Hofgárt; Stefan T. Engelter; Annika Burow; László Mihálka; Manja Kloss; Julia Ferrari; Robin Lemmens; Oguzhan Coban; Elena Haapaniemi; Noortje A.M. Maaijwee; Loes C.A. Rutten-Jacobs; Anna Bersano; Carlo Cereda; Pierluigi Baron; Linda Borellini; Caterina Valcarenghi; Lars Thomassen; Armin J. Grau; Frederick Palm; Christian Urbanek; Rezzan Tuncay; A. Durukan Tolvanen; E.J. van Dijk; F.E. de Leeuw

Risk factors for IS in young adults differ between genders and evolve with age, but data on the age‐ and gender‐specific differences by stroke etiology are scare. These features were compared based on individual patient data from 15 European stroke centers.


JAMA Neurology | 2016

Factors Associated With 8-Year Mortality in Older Patients With Cerebral Small Vessel Disease The Radboud University Nijmegen Diffusion Tensor and Magnetic Resonance Cohort (RUN DMC) Study

H.M. van der Holst; I.W.M. van Uden; Anil M. Tuladhar; K.F. de Laat; A.G.W. van Norden; David G. Norris; E.J. van Dijk; Loes C.A. Rutten-Jacobs; F.E. de Leeuw

IMPORTANCEnGait and cognition have been related to mortality in population-based studies. This association is possibly mediated by cerebral small vessel disease (SVD), which has been associated with mortality as well. It is unknown which factors can predict mortality in individuals with SVD. Identification of high-risk patients may provide insight into factors that reflect their vital health status.nnnOBJECTIVESnTo assess mortality in patients with cerebral SVD and identify potential clinical and/or imaging factors associated with mortality.nnnDESIGN, SETTING, AND PARTICIPANTSnA prospective, single-center cohort study was conducted. The present investigation is embedded in the Radboud University Nijmegen Diffusion Tensor and Magnetic Resonance Cohort (RUN DMC) study. Between January 17, 2006, and February 27, 2007, all participants underwent a cognitive and motor assessment and cerebral magnetic resonance imaging (MRI) including a diffusion tensor imaging sequence to assess microstructural integrity of the white matter. Participants were followed up until their death or November 24, 2014. Participants included 503 older adults with SVD noted on brain imaging. Data analysis was performed from November 26, 2014, to February 2, 2015.nnnMAIN OUTCOMES AND MEASURESnEight-year all-cause mortality.nnnRESULTSnOf 503 participants (mean [SD] age, 65.7 [8.8] years; range, 50-85 years; 284 [56.5%] were male), 80 individuals (15.9%) died during a mean (SD) follow-up of 7.8 (1.5) years. In the final analysis, 494 (98.2%) were included, of whom 78 (15.8%) died. Gait speed, cognitive index, conventional MRI markers of SVD (white matter hyperintensity volume, brain volume, and lacunes), and diffusion measures of the white matter were associated with an 8-year risk of mortality independent of age, sex, and vascular risk factors. The prediction of mortality was determined using Cox proportional hazards models with backward stepwise selection and including age, sex, vascular risk factors, gait speed, cognitive index, MRI, and diffusion measures. Results are reported as hazard ratios (HRs) (95% CI). Older age (1.05 per 1-year increase [1.01-1.08]), lower gait speed (1.15 per 0.1-m/s slower gait [1.06-1.24]), lower gray matter volume (0.72 per 1-SD increase [0.55-0.95]), and greater global mean diffusivity of the white matter (1.51 per 1-SD increase [1.19-1.92]) were identified as the main factors associated with mortality. Cognitive index and other conventional SVD markers were not retained in the prediction model.nnnCONCLUSIONS AND RELEVANCEnGait, cognition, and imaging markers of SVD are associated with 8-year risk of mortality. In the prediction of mortality, an older age, lower gait speed, lower gray matter volume, and greater global mean diffusivity of white matter at baseline best predicted mortality in our population. Further research is needed to investigate the reproducibility of this prediction model and to elucidate the association between the factors identified and mortality.


Stroke | 2015

Residual High-Grade Stenosis After Recanalization of Extracranial Carotid Occlusion in Acute Ischemic Stroke

Merel J A Luitse; Birgitta K. Velthuis; Meenakshi Dauwan; Jan Willem Dankbaar; Geert Jan Biessels; L. Jaap Kappelle; Charles B. L. M. Majoie; Y.B. Roos; L.E. Duijm; Koos Keizer; A. van der Lugt; Diederik W.J. Dippel; K.E. Droogh-de Greve; H.P. Bienfait; M.A. van Walderveen; Marieke J.H. Wermer; G.J. Lycklama à Nijeholt; Jelis Boiten; D. Duyndam; Vincent I H Kwa; F.J.A. Meijer; E.J. van Dijk; F.O. Kesselring; Jeannette Hofmeijer; J.A. Vos; Wouter J. Schonewille; W.J. van Rooij; P.L. de Kort; C.C. Pleiter; Stef L.M. Bakker

Background and Purpose— Residual stenosis after recanalization of an acute symptomatic extracranial occlusion of the internal carotid artery (ICA) might be an indication for carotid endarterectomy. We evaluated the proportion of residual high-grade stenosis (≥70%, near occlusions not included) on follow-up imaging in a consecutive series of patients with an acute symptomatic occlusion of the extracranial ICA. Methods— We included patients participating in the Dutch Acute Stroke Study (DUST), who had an acute symptomatic occlusion of the extracranial ICA that was diagnosed on computed tomographic angiography within 9 hours after onset of neurological symptoms. Follow-up imaging of the carotid artery had to be available within 7 days after admission. Results— Of the 1021 patients participating in DUST between May 2009 and May 2013, an acute symptomatic occlusion of the extracranial ICA was found in 126 (12.3%) patients. Follow-up imaging was available in 86 (68.3%) of these patients. At follow-up, a residual stenosis of <30% was found in 15 (17.4%; 95% confidence interval, 10.8–26.9) patients, a 30% to 49% stenosis in 3 (3.5%; 95% confidence interval, 0.8–10.2) patients, a 50% to 69% stenosis in 2 (2.3%; 95% confidence interval, 0.1–8.6) patients, and a ≥70% stenosis in 14 (16.3%; 95% confidence interval, 9.8–25.6) patients. A near or persistent occlusion was present in the remaining 52 (60.5%) patients. Conclusions— A residual high-grade stenosis of the extracranial ICA occurs in 1 of 6 patients with a symptomatic occlusion in the acute stage of cerebral ischemia. Because this may have implications for secondary prevention, we recommend follow-up imaging in these patients within a week after the event. Clinical Trial Registration— URL: http://www.clinicaltrials.gov. Unique identifier: NCT00880113.


NeuroImage: Clinical | 2018

White matter changes and gait decline in cerebral small vessel disease

H.M. van der Holst; Anil M. Tuladhar; V. Zerbi; I.W.M. van Uden; K.F. de Laat; E.M.C. van Leijsen; Mohsen Ghafoorian; Bram Platel; Mayra I. Bergkamp; A.G.W. van Norden; David G. Norris; E.J. van Dijk; Amanda J. Kiliaan; F.E. de Leeuw

The relation between progression of cerebral small vessel disease (SVD) and gait decline is uncertain, and diffusion tensor imaging (DTI) studies on gait decline are lacking. We therefore investigated the longitudinal associations between (micro) structural brain changes and gait decline in SVD using DTI. 275 participants were included from the Radboud University Nijmegen Diffusion tensor and Magnetic resonance imaging Cohort (RUN DMC), a prospective cohort of participants with cerebral small vessel disease aged 50–85 years. Gait (using GAITRite) and magnetic resonance imaging measures were assessed during baseline (2006–2007) and follow-up (2011 − 2012). Linear regression analysis was used to investigate the association between changes in conventional magnetic resonance and diffusion tensor imaging measures and gait decline. Tract-based spatial statistics analysis was used to investigate region-specific associations between changes in white matter integrity and gait decline. 56.2% were male, mean age was 62.9 years (SD8.2), mean follow-up duration was 5.4 years (SD0.2) and mean gait speed decline was 0.2 m/s (SD0.2). Stride length decline was associated with white matter atrophy (β = 0.16, p = 0.007), and increase in mean white matter radial diffusivity and mean diffusivity, and decrease in mean fractional anisotropy (respectively, β = − 0.14, p = 0.009; β = − 0.12, p = 0.018; β = 0.10, p = 0.049), independent of age, sex, height, follow-up duration and baseline stride length. Tract-based spatial statistics analysis showed significant associations between stride length decline and fractional anisotropy decrease and mean diffusivity increase (primarily explained by radial diffusivity increase) in multiple white matter tracts, with the strongest associations found in the corpus callosum and corona radiata, independent of traditional small vessel disease markers. White matter atrophy and loss of white matter integrity are associated with gait decline in older adults with small vessel disease after 5 years of follow-up. These findings suggest that progression of SVD might play an important role in gait decline.


Acta Oncologica | 2015

Magnetic resonance imaging of the carotid artery in long-term head and neck cancer survivors treated with radiotherapy

J. Wilbers; F.J.A. Meijer; Arnoud Kappelle; Johannes H.A.M. Kaanders; Willem Boogerd; Lucille D.A. Dorresteijn; E.J. van Dijk; Stefan C.A. Steens

Abstract Background. In head and neck cancer (HNC) patients, long-term treatment-related complications include radiotherapy (RT)-induced carotid vasculopathy and stroke. The current study investigated the magnetic resonance imaging (MRI) characteristics of the carotid wall in long-term HNC survivors treated with RT. Methods. MRI of the carotid arteries was performed within a prospective cohort of 42 HNC patients on average 7 years after RT. Two independent radiologists assessed maximal vessel wall thickness of common and internal carotid arteries. In case of wall thickening (≥ 2 mm) the MRI signals as well as length of the thickened segment were assessed. Results. Mean (SD) age of the 42 patients at baseline was 53 (13) years and mean (SD) follow-up time after RT was 6.8 (1.3) years. In total 62% were men and 60% had one or more cerebrovascular risk factors. Mean (SD) dose of RT on the common carotid arteries and internal carotid arteries was 57 Gy (11) and 61 Gy (10), respectively. Wall thickening was observed in 58% of irradiated versus 27% of non-irradiated common carotid arteries and 24% of irradiated versus 6% of non-irradiated internal carotid arteries (p < 0.05). Mean (SD) thickness of the irradiated and non-irradiated common carotid arteries was 2.5 (0.9) and 2 (0.7) mm (p = 0.02). Mean thickness of the irradiated and non-irradiated internal carotid arteries was 1.8 (0.8) and 1.5 mm (0.3) (n.s.). Mean length of the thickened vessel wall was 48 mm versus 36 mm in the irradiated versus non-irradiated common carotid arteries (p = 0.03) and 20 mm versus 15 mm in the irradiated versus non-irradiated internal carotid arteries (n.s.). No significant differences were observed for signal intensities of the vessel walls. Conclusions. Our study showed significantly more vessel wall thickening in irradiated versus non-irradiated carotid arteries years after RT for HNC, while no differences in signal intensities were observed.


Scientific Reports | 2017

Robust Segmentation of the Full Cerebral Vasculature in 4D CT of Suspected Stroke Patients

M. Meijs; Ajay Patel; S.C. van de Leemput; Mathias Prokop; E.J. van Dijk; F.E. de Leeuw; F.J.A. Meijer; B. van Ginneken; Rashindra Manniesing

A robust method is presented for the segmentation of the full cerebral vasculature in 4-dimensional (4D) computed tomography (CT). The method consists of candidate vessel selection, feature extraction, random forest classification and postprocessing. Image features include among others the weighted temporal variance image and parameters, including entropy, of an intensity histogram in a local region at different scales. These histogram parameters revealed to be a strong feature in the detection of vessels regardless of shape and size. The method was trained and tested on a large database of 264 patients with suspicion of acute ischemia who underwent 4D CT in our hospital in the period January 2014 to December 2015. Five subvolumes representing different regions of the cerebral vasculature were annotated in each image in the training set by medical assistants. The evaluation was done on 242 patients. A total of 16 (<8%) patients showed severe under or over segmentation and were reported as failures. One out of five subvolumes was randomly annotated in 159 patients and was used for quantitative evaluation. Quantitative evaluation showed a Dice coefficient of 0.91 ± 0.07 and a modified Hausdorff distance of 0.23 ± 0.22u2009mm. Therefore, robust vessel segmentation in 4D CT is feasible with good accuracy.


Neuroradiology | 2017

Craniospinal fluid hypotension mimicking arteriovenous fistula on spinal MRI

M.J. van Amerongen; E.J. van Dijk; J. de Vries; F.J.A. Meijer

Venous congestion near the spinal cord can lead to severe clinical symptoms, such as paraparesis or tetraplegia. Most commonly, venous congestion is caused by a spinal dural arteriovenous fistula (SDAVF), which is the most frequent venous malformation involving the spinal cord [1]. However, SDAVF is not the sole cause of venous congestion and other causes should be considered in the differential diagnosis, as illustrated by a patient we recently encountered in our practice. A 69-year-old male presented with progressive gait disturbances since the past 3 months and mild cognitive impairment since a few years. History of the patient reveals a previous resection of a cerebellar cyst in 1987 (38 years before presentation), complicated by a hydrocephalus for which the patient received a venticuloperioneal shunt. Neurological examination of the patient showed a spastic gait with hypertonia of the left arm and both legs with bilateral Babinski reflex. Spinal MR imaging demonstrated intradural vein enlargement surrounding the spinal cord and cauda equina (Fig. 1a and b), initially raising the suspicion of an underlying spinal dural arteriovenous fistula (SDAVF). However, because of the clinical presentation of cognitive impairment, subsequent brain MR imaging was performed, which showed contrast-enhancing intracranial dural thickening as well as pituitary gland enlargement. These findings were considered suggestive of intracranial hypotension syndrome, as was later confirmed by telemetric craniospinal pressure measurement. Because it was deemed that the intracranial hypotension was caused by CSF overdrainage, surgical disconnection of the implanted shunt was performed. Due to clinical deterioration with headache, nausea, and vomiting in the days after surgery, the patient underwent reconnection of the shunt with a new valve implantation. Follow-up spinal MR imaging 4 weeks after surgery demonstrated clear resolution of the intraspinal vein congestion (Fig. 1c and d).


Nederlands Tijdschrift voor Geneeskunde | 2012

Poorer cognitive performance in elderly suffering from cerebral microbleeds

A.G.W. van Norden; H.A.C. van den Berg; K.F. de Laat; Rob A.R. Gons; R.P.C. Kessels; E.J. van Dijk; F.E. de Leeuw


Open Journal of Bioresources | 2018

Dutch Parelsnoer Institute-Cerebrovascular Accident (CVA) Study: A Large Multicenter Clinical Biobank with Standardized Collection and Storage

H. J. A. van Os; Ynte M. Ruigrok; J. Manniën; E.J. van Dijk; Peter J. Koudstaal; Gert Jan Luijckx; P. J. Nederkoorn; R. J. van Oostenbrugge; M.C. Visser; L.J. Kappelle; Ale Algra; Marieke J.H. Wermer


Cheating, corruption and, concealment | 2016

An instrumental model to deception

Wolfgang Steinel; Lukas Koning; E.J. van Dijk; I. van Beest

Collaboration


Dive into the E.J. van Dijk's collaboration.

Top Co-Authors

Avatar

F.E. de Leeuw

Erasmus University Rotterdam

View shared research outputs
Top Co-Authors

Avatar

F.J.A. Meijer

Radboud University Nijmegen

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

A.G.W. van Norden

Radboud University Nijmegen Medical Centre

View shared research outputs
Top Co-Authors

Avatar

K.F. de Laat

Radboud University Nijmegen Medical Centre

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Arnoud Kappelle

Radboud University Nijmegen

View shared research outputs
Top Co-Authors

Avatar

J. Wilbers

Radboud University Nijmegen

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Willem Boogerd

Netherlands Cancer Institute

View shared research outputs
Researchain Logo
Decentralizing Knowledge