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Long term cerebral and vascular complications after irradiation of the neck in head and neck cancer patients: a prospective cohort study: study rationale and protocol

  • Joyce Wilbers1Email author,
  • Arnoud C Kappelle1,
  • Roy PC Kessels4,
  • Stefan CA Steens3,
  • Frederick JA Meijer3,
  • Johannes H Kaanders2,
  • Roy AM Haast10,
  • Laura E Versteeg4,
  • Anil M Tuladhar1,
  • Chris L de Korte10,
  • Hendrik HG Hansen10,
  • Frank J Hoebers8,
  • Willem Boogerd5,
  • Erik D van Werkhoven7,
  • Marlies E Nowee6,
  • Guus Hart7,
  • Harry Bartelink6,
  • Lucille D Dorresteijn9 and
  • Ewoud J van Dijk1
BMC Neurology201414:132

DOI: 10.1186/1471-2377-14-132

Received: 19 December 2013

Accepted: 28 May 2014

Published: 19 June 2014

Abstract

Background

Successful treatment options for cancer result in more young long-term survivors prone for long-term complications. Carotid artery vasculopathy is a potential long-term complication after radiotherapy of the neck, resulting in cerebrovascular events and probably deficits in cognitive and motor functioning. Better insight into the underlying pathofysiology of radiotherapy induced carotid artery vasculopathy is needed for prognostic purposes and to develop preventive strategies.

Methods/Design

The current study is a prospective cohort study on the long-term cerebral and vascular complications after radiotherapy of the neck, in 103 patients treated for head and neck cancer, included in our study database between 2002 and 2008. Baseline protocol (before radiotherapy) included screening for cerebrovascular risk factors and intima media thickness measurement of carotid arteries by ultrasonography. Follow-up assessment more than 5 years after radiotherapy included screening of cerebrovascular risk factors, cerebrovascular events, neurological examination with gait and balance tests, extensive neuropsychological examination, self-report questionnaires, ultrasonography of the carotid arteries with measurement of intima media thickness and elastography, magnetic resonance imaging of the brain and magnetic resonance angiography of the carotid arteries.

Discussion

The current study adds to the understanding of the causes and consequences of long-term cerebral and vascular changes after radiotherapy of the neck. These data will be helpful to develop a protocol for diagnostic and preventive strategies for long-term neurological complications in future head and neck cancer patients with anticipated radiotherapy treatment.

Keywords

Head and neck cancer Cerebrovascular disease Carotid artery Radiation vasculopathy

Background

Successful treatment options for cancer have resulted in more long-term survivors, prone to long-term complications of chemotherapy and radiotherapy (RT). A well-known long-term complication of RT of the neck is carotid artery vasculopathy, which ultimately can lead to stroke [1, 2].

Apart from acute neurological complications, like a cerebral infarction, evidence from daily clinical practice shows more subtle, slowly progressive deficits in cognitive and motor functioning. These long-term cerebral and vascular complications in young survivors of cancer are a serious potential problem that hamper reintegrating in social functioning and work. The longer survival stresses the need for a long-term follow-up study that assesses the long-term complications of RT induced carotid artery vasculopathy. To date, no such studies exist to the best of our knowledge.

We hypothesize that RT of the neck accelerates carotid atherosclerosis with secondary development of cerebral vascular lesions. These vascular cerebral changes are subsequently related to cognitive and motor functioning with a major impact on activities of daily social functioning. A better understanding of the underlying pathophysiology of this RT induced vasculopathy is needed for prognostic purposes and can be used to develop strategies that prevent further progression and thereby reducing the risk of future stroke and neurological impairments.

The current study aims to investigate four questions. The first question focuses on the relation between RT and long-term carotid artery-wall changes. We hypothesize that irradiation induces premature atherosclerosis which is different from more common atherosclerosis due to classic cerebrovascular risk factors. We therefore study the location and composition of post-irradiation vessel-wall changes with advanced imaging techniques; plaque and Intima Media Thickness (IMT) analysis on ultrasound with innovative vessel-wall elastography and magnetic resonance imaging/angiography (MRI)/(MRA) [35]. The second question examines the relation between RT and long-term cerebral vascular changes. In the general population the prevalence of silent brain infarcts (SBI) is up to fivefold higher than that of acute stroke [6]. SBI are related to impaired cognitive functioning, dementia, stroke and gait and balance disorders [7]. Carotid artery pathology increases the risk of SBI [8]. To assess this, all study patients underwent MRI of the brain to analyze silent brain infarcts and related pathology like white-matter lesions and cerebral atrophy.

The third question addresses the relation between RT and clinical outcome measures (motor and cognitive functioning, as well as quality of life; QoL). Silent brain infarcts are associated with gait disturbances, decline in cognitive function and increased risk of developing dementia [911]. We performed quantitative gait/balance analysis and an extensive neuropsychological assessment in all patients. Finally, we want to study the relation between patient and treatment baseline characteristics and the development of vasculopathy, in order to find high risk patients that can benefit from preventive strategies.

Methods

The current study is a prospective cohort study that aims to investigate the frequency, pathophysiology and long-term outcome of radiotherapy induced vasculopathy. The Medical Ethics Review Committee region of Arnhem-Nijmegen approved the study (NL 41008.091.12).

Patients

A prospective cohort study of head and neck cancer patients in two centers of the Netherlands (the Netherlands Cancer Institute/Antoni van Leeuwenhoek Hospital (NCI/AvL), Amsterdam and the Radboud University Medical Center Nijmegen) was initiated.

At baseline, patients were eligible for inclusion if they received RT of the neck because of a T1/T2 (N0M0) laryngeal carcinoma, T1/T2 (N0M0) parotid carcinoma/pleomorphic adenoma, T1/2 (N1/2 M0) naso/oro/hypopharynxcarcinoma or non-Hodgkin/Hodgkin lymphoma. Originally, the study was designed as an open-label multicentre Prospective Randomized Open Blinded Endpoint (PROBE) study to assess the effect of an HMG-coA reductase inhibitor (atorvastatine) on carotid IMT in the first 2 years after irradiation of the neck. Because of dwindling accrual the study was redesigned to a prospective cohort study. The initial exclusion criteria were: a history of cerebrovascular disease, pregnancy or breast-feeding, ongoing treatment with an HMG-coA reductase or cytochroom P450 inhibitor, active liver disease or > 3 times the upper limit of serum transaminases, 5 times the normal level of creatine phosphokinase, serum cholesterol > 7 mmol/L and a life expectancy < 2 years. All patients gave written informed consent.

Controls

The IMT measurements will be compared to the baseline measurements and the elastography measurements will be compared to an age and sex matched control group of patients who had a stroke and at least one of the following cerebrovascular risk factors: hypertension, diabetes, smoking, hypercholesterolemia and atrial fibrillation. The cognitive performances of all patients will be compared to available normative reference values (adjusted for age and education level). Finally, the frequency of silent brain infarctions and white matter lesions will be compared to the frequency in patients without RT of the neck, as described in prior population based studies [12, 13].

Baseline

Patients were assessed at baseline (before RT) for height, weight and blood pressure, underwent a neurological and laboratory (C-reactive protein) examination and the following cerebrovascular risk factors were assessed:

1. Cigarette smoking. 2. Hypertension, defined as using antihypertensive medication or blood pressure > 130/80 mmHg. 3. Diabetes mellitus, defined as using anti-diabetic medication or a non-fasting serum glucose >11.1 mmol/L. Medication prescription was checked with the pharmacy database. 4. Hypercholesterolemia, defined as serum total cholesterol > 6.5 mmol/L. 5. Obesity, defined as Body Mass Index (BMI) > 30 kg/m2.

Carotid ultrasound

In patients with laryngeal or hypopharyngeal carcinoma IMT was measured on the Common Carotid Artery (CCA), according to the RT-field. In patients with other tumors IMT was measured in both the CCA and the Internal Carotid Artery (ICA), also according to the RT- field.

IMT was measured with a linear array transducer (iU22 Philips NZE172 probe: L17-5, Hewlett Packard, Sonos 2000, probe: 7.5/5.5, ALOKA 5000 and G.E Logiq E9). IMT pictures were digitally stored on the ultrasound machine or printed in case digital storage was not available. Printed images were then scanned at high resolution and interpolated (using Matlab 2010a) to obtain the same resolution as the digitally stored images. IMT was automatically measured by one blinded investigator (JW), using QLAB (Version 4.2.1, Philips). An edge-detection algorithm identified the lumen-intima and the media-adventia interface within a region of interest (selected by the operator) over a maximum of 10 mm long segment and calculated the average thickness.

Follow-up > 5 years after radiotherapy

At follow-up all patients underwent a structured program (Table 1), consisting of assessment of demographics and life style, medical history and medication use, fasting laboratory investigation, electrocardiogram (ECG), physical and neurological examination, extensive neuropsychological assessment battery (NPA), carotid artery ultrasound (Intima Media Thickness measurement and elastography), MRI/MRA of the brain and carotid arteries, gait and balance analysis and self-report questionnaires.
Table 1

Schedule of assessments

Assessment

Baseline

Follow-up

Demographics

  

Worksituation

 

X

Education

 

X

Marital status

 

X

Social/living status

 

X

Oncologic diagnose

X

X

Radiotherapy

  

Dosis Total (Gy)

X

X

Dosis per fraction (Gy)

X

X

Number of fractions

X

X

Bilateral/unilateral

X

X

Dose on common carotid artery

X

X

Dose on internal carotid artery

X

X

Medical history

  

Cerebrovascular events

X

X

Cerebrovascular risk factors

X

X

Cardiovascular events

 

X

Hypertension

X

X

Hypercholostrolemia

 

X

Smoking

X

X

Diabetes

 

X

Family history of cerebrovascular disease

 

X

Obesity

 

X

Migraine

 

X

Medication use

  

Aspirin

 

X

Oral anticoagulance

 

X

Antihypertensive medication

 

X

Statin

 

X

Anti-diabetic medication

 

X

Physical examination

  

Length and weight

 

X

Waist circumference

 

X

Blood pressure

X

X

BMI

 

X

Neurological examination

  

Cranial nerves

 

X

Muscle strength

 

X

Coordination

 

X

Mobility

  

Time up and Go/Tinetti

 

X

ECG

  

Paroxysmal atrial fibrillation

 

X

Left ventricle hypertrophia

 

X

Ischemia

 

X

Fasting laboratory investigation

  

Glucose

 

X

Total cholesterol

 

X

Ultrasonography

  

IMT

X

X

Elastography

 

X

Neuropsychological Examination

  

Global cognitive functioning

  

Minimal Mental State Examination (MMSE)

 

X

Frontal Assessment Battery (FAB)

 

X

1. Episodic Memory

  

Rey Auditory Verbal Learning Test (RAVLT)

 

X

2. Working memory

  

Paper and Pencil Memory Scanning Tasks

 

X

Digit Span test

 

X

3. Executive functioning

  

Stroop Color-Word Task

 

X

Trail Making Test (TMT)

 

X

Brixton Spatial Anticipation Test

 

X

4. Attention

  

Verbal Series Attention Test(VSAT)

 

X

5. Fluency Language

  

Letter fluency

 

X

Animal fluency

 

X

6. Speed information processing

  

TMT A

 

X

Stroop test (mean score Parts I and II)

 

X

Letter Digity Substitution Task

 

X

Questionnaires

  

Depressive symptoms

  

Structured questionnaire depressive symptoms

 

X

Mini International Neuropsychiatric Interview (MINI)

 

X

Hospital Anxiety and Depression Scale (HADS)

 

X

Center of Epidemiological Studies Depression scale

 

X

Fatigue

  

CIS 20 R

 

X

Health related Quality of Life

  

Short form36

 

X

Others

  

Structured questionnaire about sleep disorders

 

X

Subjective memory complaints

 

X

MRI

  

Brain (T1, T2, FLAIR)

 

X

Carotid arteries (TOF, PCA, T1, T2, PD)

 

X

Demographics and life style

Standardized questions on demographics (age at radiotherapy, age at follow-up, sex) were administered. Education was classified using seven categories; one being less than primary school and seven reflecting an academic degree. Type of work, working situation, marital status and living conditions were asked using a structured interview.

Medical history and medication use

Standard questionnaires about medication use (carbaspirin calcium, oral anticoagulance, antihypertensive medication, statin, antidiabetic medication), cerebrovascular risk factors (hypertension, hypercholesterolemia, smoking, diabetes, family history, obesity, migraine), vascular diseases in the past (stroke, cerebral bleeding, acute myocard infarction, atrial fibrillation, angina pectoris, peripheral arterial disease) were asked by one of the investigators (JW). If patients had had an ischemic stroke (IS) or Transient Ischaemic Attack (TIA), detailed medical information was collected from their neurologist and reassessed by one neurologist (EvD).

Fasting laboratory investigation

Fasting blood samples were taken. Analysis included glucose and total cholesterol.

Electrocardiogram (ECG)

An ECG was performed and evaluated with a standardized assessment by an experienced cardiologist. Outcome measures were (paroxysmal) atrial fibrillation, left ventrical hypertrophia and signs of ischemia (pathologic Q’s, ST depression or elevation).

Physical and neurological examination

Height and weight were measured and body mass index (BMI) was calculated. The maximal weight circumference was measured in standing position, between the lowest rib and the iliac crest, at the end of normal expiration [14]. Blood pressure was measured on the right and left side. All patients underwent a standardized neurologic examination by an experienced neurologist (JW), consisting of assessment of functioning of cranial nerves, muscle strength and cerebellar functions.

Assessment of gait and balance

We used a widely used version of the Tinnetti with 17 items: 9 items for body balance (score 0-16) and 8 for gait (score 0-12), with a maximum score of 28 [15]. It grades balance while sitting, standing with eyes open and closed, nudging and turning, gait initiation, stride length and width and symmetry. Functional mobility was classified by using the widely-used Timed Up-and-Go (TUG) test which is a timed test during which the participant is asked to rise from a standard armchair, walk 3 m, turn, walk back and sit down again [16]. Each participant performed the test three times.

Neuropsychological assessment

A trained psychologist administered an extensive neuropsychological test battery that covered 6 cognitive domains; episodic memory, working memory, executive functioning, attention, fluency language and speed of information processing. The Mini Mental State Examination (MMSE) [17] and the Frontal Assessment Battery (FAB) [18] were used as a screening of overall cognitive function and orientation. Episodic memory was assessed using the five-trial Dutch version of the Rey Auditory Verbal Learning Test (RAVLT) in which the ability to acquire and retain new verbal information was measured, immediately and after a delay [19]. We administered the Paper and Pencil Memory Scanning Task [20] and the Digit Span test [21], both forwards and backwards, to assess working memory. Executive functioning was assessed using the Stroop Color-Word Task (Stroop interference score; i.e. Part III/mean(Part I and II)) [22], the Trail Making Test (TMT) [23] ratio score (part B/part A) and the Brixton Spatial Anticipation Test (Brixton) [24, 25]. Attention was assessed with the Verbal Series Attention Test(VSAT) [26]. To evaluate verbal fluency two tasks were used. First, a semantic fluency task [27] was administered in which participants had to name as many animals as possible within 60 seconds followed by as many professions within 60 seconds. Second, a letter fluency task [28] was used in which as many words beginning with a given initial letter (D-A-T) had to be generated within 60 seconds. Speed of information processing was evaluated by using three tasks; the Stroop test (mean score Parts I and II), the TMT Part A and the Symbol Digit Substitution Task [29], which is a modified version of the Symbol Digital Modalities Task.

Carotid artery ultrasound - Intima Media Thickness measurement

The measurement of IMT at follow-up 7 years after RT was exactly the same as described at baseline.

Non-invasive carotid ultrasound elastography – imaging protocol

Following IMT measurements, the distal CCA and proximal ICA at both sides were examined in a longitudinal and transverse imaging plane using a Medison Accuvix V10 ultrasound system (Samsung Medison Seoul, Republic of South Korea) equipped with an L5-13 linear array transducer (fc = 8.5 MHz). Firstly, longitudinal recordings were acquired. After optimum visualization of the cross section with the highest amount of luminal narrowing, an imaging mode called radial zone mode was turned on, which enabled us to perform angle compounding and to store raw ultrasound radiofrequency (RF) data (fs = 61.6 MHz). RF data were acquired at three insonification angles (0°, 20° and -20°) for 3 seconds at a frame rate of at least 129 Hz (43 Hz/angle). Insonification angles were relative to the unsteered ultrasound beam direction and changed sequentially before every new ultrasound image frame. Depending on the heart rate, this resulted in the recording of at least two complete cardiac cycles. After the described measurement, the systolic and diastolic blood pressures in the brachial artery were determined using a sphygmomanometer (Littmann® Classic II S.E.; 3 M, St Paul, MN, USA). The pressure values were used to normalize the distensibility and strain results as explained later, since the level of strain is not only related to tissue composition but also to the pressure differential between the subsequently acquired frames. Above described steps were repeated during imaging in the transverse plane. Location of transverse image acquisition was chosen at the vessel wall displaying the thickest IMT. The distance between this cross-section and the carotid bulb was used as an anatomical reference point. Subsequently, this protocol was repeated for the internal carotid artery. The entire measurement series was completed within 30 minutes. Raw RF data were subsequently analyzed to determine distensibility and strain using in-house written elastography software (MATLAB 2010b, the Mathworks, Natick, MA, USA). Detailed description of this can be found in Additional file 1.

MRI protocol

The MRI studies were performed on a 3 Tesla MR-scanner (Skyra, Siemens Erlangen). The scanning protocol included T1, T2 and T2 Fluid Attenuated Inversion Recovery (FLAIR) transversal sequences of the brain. The MRI scanning protocol of the carotids included a 3 dimensional time of flight (TOF), Phase Contrast Angiography (PCA), sagittal oblique T2 of the carotid bifurcation, transversal T1, T2 and proton density (PD) sequences. Finally, a maximum intensity projection (MIP) TOF and PCA was reconstructed. The complete scanning protocol took approximately 60 minutes. All MRI studies will be scored by two blinded experienced neuroradiologists (SS and FAM).

Additional self-report questionnaires

For the assessment of anxiety and depression we used the Hospital Anxiety and Depression Scale (HADS) and the Center for Epidemiologic Studies Depression Scale (CES-D) [30]. The Checklist on Individual Strength (CIS-20R) was used to assess fatigue [31]. The overall health status (quality of life) was assessed with the Short Form 36 Health Survey (SF-36) [32]. Patients were asked for sleeping problems and their employment status in the period before and the period after radiotherapy. Two questionnaires were filled in with a doctor (JW): the assessment of Subjective Memory Complaints (SMC) [10] and the Mini International Neuropsychiatric Interview (MINI) [33].

Outcome events

Imaging outcomes

Firstly, on ultrasonography, the IMT of the carotid artery 6 years after RT will be compared with the IMT at baseline. Furthermore, the strain in the vessel wall and plaque 6 years after RT will be measured and compared with a control group. Secondly, on MRI/A of the carotid arteries the degree of stenosis, location and when possible composition of vessel wall changes (lipids, fibrosis, hemorrhage) will be scored, according to an in house developed protocol.

All MRIs of the brain will be scored semi-quantitatively by two neuroradiologists separately for white-matter lesions (WML), brain atrophy and (silent) brain infarctions using validated scales [3436] and in case of disagreement a consensus meeting will be held.

Furthermore, total white matter lesion volume will be calculated by a prior published, in-house developed, validated technique [37]. In short, WML are defined as hyperintensive lesions on FLAIR MRI without corresponding cerebrospinal fluid like hypo-intense lesions on the T1 weighted image. Gliosis surrounding lacunar and territorial infarcts is not considered to be WML. Finally, brain volumetry will be done to measure total white and grey matter volumes. Grey and white matter tissue and cerebrospinal fluid probability maps will be computed by using a six class segmentation tool in Statistical Parametric Mapping Software (http://www.fil.ion.ucl.ac.uk/spm) (SPM 8) on the T1 MPRAGE images. Total grey and white matter volumes are calculated by summing all voxel volumes belonging to the tissue class. Total brain volume is taken as the sum of total grey and total white matter volume. Co-registration parameters of the FLAIR image to the T1 image are computed (SPM8 mutual information co-registration) and used to bring both the FLAIR and WML segmentation images into the subjects (anatomical) reference frame. Transformed images will visually be checked for co-registration errors. Subsequently, the WML segmentations are re-sampled to and combined with the white matter maps to yield to a WML map (the intersection of WML and white matter) and NAWM map (the complement of WML in white matter) in the T1 reference space.

Clinical outcomes

Clinical outcome measures will be: cerebrovascular events, domain scores (mean standardized z-scores compared to reference values) of objective cognitive functioning on NPA, subjective memory complaints, depressive symptoms, fatigue and gait or balance disturbances.

Statistical analysis

Analysis of continuous variables will be done with Student’s t test or analysis of (co)variance or in case of skewed distributions which cannot be normalized by log transformation corresponding nonparametric tests will be used. Chi-squared test will be used for analysis of categorical variables and logistic regression analyses will be used to adjust for potential confounding factors.

Results

103 patients who had sought medical attention at one of the two University Medical Centers between 2002 and 2008 fulfilled inclusion and exclusion criteria for our study. The number of patients lost to follow-up is reported in Figure 1. 51 patients have been seen for the follow-up protocol more than 5 years after RT between November 2012 and November 2013. Another 14 patients underwent a telephone follow-up. Characteristics of our population at baseline and follow-up are reported in Table 2.
https://static-content.springer.com/image/art%3A10.1186%2F1471-2377-14-132/MediaObjects/12883_2013_Article_1051_Fig1_HTML.jpg
Figure 1

Flow chart.

Table 2

Patient and treatment related characteristics at baseline and FU

Characteristic

n = 65

Demografics

 

Male (%)

60

Age at baseline, years (mean, SD)

54.3 (13.3)

Follow-up post RT, years (mean, SD)

6.7 (1.2)

Age at FU, years (mean, SD)

61.2 (13.4)

Cancer diagnosis (%)

 

Larynxcarcinoma

45

Parotidcarcinoma

14

Pleiomorphic parotid adenoma

15

Nasopharynxcarcinoma

2

Oropharynxcarcinoma

17

Hypopharynxcarcinoma

2

Lymphoma

6

Radiotherapy (%)

 

Bilateral

63

Unilateral

37

CV risk factors at baseline (%)

 

Smoking

 

 Current smoker or stopped < 3 years ago

51

 Former smoker or stopped > 3 years ago

23

 Never smoked

25

Hypertension

26

Diabetes mellitus

5

Hypercholesterolemia

9

Obesity

8

Number CV risk factors at baseline‡ (%)

 

0

32

1

43

≥2

25

CV risk factors at FU (%)

 

Smoking

 

 Current smoker or stopped < 3 years ago

22

 Former smoker or stopped > 3 years ago

59

 Never smoked

20

Hypertension

69

Diabetes mellitus

11

Hypercholesterolemia

39

Obesity

12

Migraine

11

Family history of CV diseases

20

Vascular diseases in the past (%)

 

Angina Pectoris

5

Atrial Fibrillation

11

Acute Myocardial Infarction

3

Peripheral arterial disease

2

Weight circumference, cm (mean, SD)

95.5 (16.6)

Number CV risk factors at FU* (%)

 

0

9

1

28

≥2

63

‡Cerebrovascular (CV) risk factors at baseline consists of hypertension diabetes, hypercholostrolemia, overweight and current smoking.

*Cerebrovascular (CV) risk factors at FU consists of hypertension, diabetes, hypercholesterolemia, overweight, current smoking, migraine, family history of vascular disease and Atrial Fibrillation (AF). NA = Not Answered.

Discussion

The number of cancer survivors is still growing and long-term complications after cancer treatment are becoming a serious problem for the society. However, prospective cohort studies with a long follow-up period after RT of the neck are scarce. More understanding about the underlying pathophysiology of RT induced vasculopathy is needed to develop preventive strategies, such as the use of a statin or thrombocyt aggregation inhibitors. These long-term complications of RT induced carotid artery vasculopathy are not studied in prior studies, because of relatively small patient groups and short follow-up period.

We therefore performed the current prospective cohort study, to investigate the cerebral and vascular long-term complications after RT of the neck. Strong elements of our study are the unique population and study design. This cohort is not only the largest, but also has the longest follow-up period (more than 5 years after RT). Furthermore, we performed a complete assessment with radiological and clinical outcome measurements. We use newly developed innovative ultrasonography and MRI techniques, to investigate the underlying pathofysiology of RT induced vasculopathy. Also, we examined cognitive function with sensitive neuropsychological tests covering all cognitive domains, rather than just relying on cognitive screens aimed at the detection of dementia.

We feel that the current study helps us in the understanding of the causes and consequences of long-term cerebral and vascular changes after RT of the neck. These data will be the source to make a protocol for diagnostic and preventive strategies for long term neurological complications in future HNC patients.

Declarations

Acknowledgements

We thank M. van Zanten and S. Bossmann for data collection, W. Raymann for performing the ultrasonographies and M. Massa and H. van Dijk for the computer assisted analysis of the IMT measurements.

Authors’ Affiliations

(1)
Department of Neurology, Radboud University Nijmegen Medical Center, Donders Institute for Brain, Cognition and Behaviour Centre for Neuroscience
(2)
Department of Radiation Oncology Radboud University Nijmegen Medical Center
(3)
Department of Radiology, Radboud University Medical Center
(4)
Department of medical psychology, Radboud University Medical Center, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen
(5)
Department of Neurology, Netherlands Cancer Institute/ Antoni van Leeuwenhoek Hospital
(6)
Department of Radiotherapy, Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital
(7)
Department of Biometrics, Netherlands Cancer Institute/ Antoni van Leeuwenhoek Hospital
(8)
Maastricht University Medical Center, Department of Radiation Oncology (MAASTRO clinic), GROW School for Oncology and Developmental Biology
(9)
Department of Neurology, Medisch Spectrum Twente
(10)
Medical Ultrasound Imaging Center (MUSIC), Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Geert Grooteplein zuid 10

References

  1. Dorresteijn LD, Kappelle AC, Scholz NM, Munneke M, Scholma JT, Balm AJ, Bartelink H, Boogerd W: Increased carotid wall thickening after radiotherapy on the neck. Eur J Cancer. 2005, 41 (7): 1026-1030.View ArticlePubMedGoogle Scholar
  2. Dorresteijn LD, Kappelle AC, Boogerd W, Klokman WJ, Balm AJ, Keus RB, van Leeuwen FE, Bartelink H: Increased risk of ischemic stroke after radiotherapy on the neck in patients younger than 60 years. J Clin Oncol. 2002, 20 (1): 282-288.View ArticlePubMedGoogle Scholar
  3. Wasserman BA: Advanced contrast-enhanced MRI for looking beyond the lumen to predict stroke: building a risk profile for carotid plaque. Stroke. 2010, 41 (10 Suppl): S12-S16.View ArticlePubMedGoogle Scholar
  4. Watanabe Y, Nagayama M: MR plaque imaging of the carotid artery. Neuroradiology. 2010, 52 (4): 253-274.View ArticlePubMedGoogle Scholar
  5. Hansen HH, Lopata RG, Idzenga T, de Korte CL: Full 2D displacement vector and strain tensor estimation for superficial tissue using beam-steered ultrasound imaging. Phys Med Biol. 2010, 55 (11): 3201-3218.View ArticlePubMedGoogle Scholar
  6. Vermeer SE, Longstreth WT, Koudstaal PJ: Silent brain infarcts: a systematic review. Lancet Neurol. 2007, 6 (7): 611-619.View ArticlePubMedGoogle Scholar
  7. de Laat KF, van Norden AG, Gons RA, van Oudheusden LJ, van Uden IW, Bloem BR, Zwiers MP, de Leeuw FE: Gait in elderly with cerebral small vessel disease. Stroke. 2010, 41 (8): 1652-1658.View ArticlePubMedGoogle Scholar
  8. Manolio TA, Burke GL, O'Leary DH, Evans G, Beauchamp N, Knepper L, Ward B: Relationships of cerebral MRI findings to ultrasonographic carotid atherosclerosis in older adults: the Cardiovascular Health Study. CHS Collaborative Research Group. Arterioscler Thromb Vasc Biol. 1999, 19 (2): 356-365.View ArticlePubMedGoogle Scholar
  9. Prins ND, van Dijk EJ, den Heijer T, Vermeer SE, Koudstaal PJ, Oudkerk M, Hofman A, Breteler MM: Cerebral white matter lesions and the risk of dementia. Arch Neurol. 2004, 61 (10): 1531-1534.View ArticlePubMedGoogle Scholar
  10. van Norden AG, Fick WF, de Laat KF, van Uden IW, van Oudheusden LJ, Tendolkar I, Zwiers MP, de Leeuw FE: Subjective cognitive failures and hippocampal volume in elderly with white matter lesions. Neurology. 2008, 71 (15): 1152-1159.View ArticlePubMedGoogle Scholar
  11. Vermeer SE, Prins ND, den Heijer T, Hofman A, Koudstaal PJ, Breteler MM: Silent brain infarcts and the risk of dementia and cognitive decline. N Engl J Med. 2003, 348 (13): 1215-1222.View ArticlePubMedGoogle Scholar
  12. van Dijk EJ, Prins ND, Vermeer SE, Koudstaal PJ, Breteler MM: Frequency of white matter lesions and silent lacunar infarcts. J Neural Transm Suppl. 2002, 62: 25-39.View ArticlePubMedGoogle Scholar
  13. Vermeer SE, Hollander M, van Dijk EJ, Hofman A, Koudstaal PJ, Breteler MM: Silent brain infarcts and white matter lesions increase stroke risk in the general population: the Rotterdam Scan Study. Stroke. 2003, 34 (5): 1126-1129.View ArticlePubMedGoogle Scholar
  14. Thompson CJ, Ryu JE, Craven TE, Kahl FR, Crouse JR: Central adipose distribution is related to coronary atherosclerosis. Arterioscler Thromb. 1991, 11 (2): 327-333.View ArticlePubMedGoogle Scholar
  15. Tinetti ME: Performance-oriented assessment of mobility problems in elderly patients. J Am Geriatr Soc. 1986, 34 (2): 119-126.View ArticlePubMedGoogle Scholar
  16. Podsiadlo D, Richardson S: The timed “Up & Go”: a test of basic functional mobility for frail elderly persons. J Am Geriatr Soc. 1991, 39 (2): 142-148.View ArticlePubMedGoogle Scholar
  17. Folstein MF, Folstein SE, McHugh PR: “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975, 12 (3): 189-198.View ArticlePubMedGoogle Scholar
  18. Dubois B, Slachevsky A, Litvan I, Pillon B: The FAB: a Frontal Assessment Battery at bedside. Neurology. 2000, 55 (11): 1621-1626.View ArticlePubMedGoogle Scholar
  19. Van der Elst W, van Boxtel MP, van Breukelen GJ, Jolles J: Rey’s verbal learning test: normative data for 1855 healthy participants aged 24-81 years and the influence of age, sex, education, and mode of presentation. J Int Neuropsychol Soc. 2005, 11 (3): 290-302.View ArticlePubMedGoogle Scholar
  20. Rutten-Jacobs LC, Maaijwee NA, Arntz RM, Van Alebeek ME, Schaapsmeerders P, Schoonderwaldt HC, Dorresteijn LD, Overeem S, Drost G, Janssen MC, van Heerde WL, Kessels RP, Zwiers MP, Norris DG, van der Vlugt MJ, van Dijk EJ, de Leeuw FE: Risk factors and prognosis of young stroke. The FUTURE study: a prospective cohort study. Study rationale and protocol. BMC Neurol. 2011, 11: 109-View ArticlePubMedPubMed CentralGoogle Scholar
  21. Wechsler D: Wechsler Adult Intelligence Scale—3rd Edition (WAIS-III). 1997, San Antonio, TX: Harcourt AssessmentGoogle Scholar
  22. Van der Elst W, Van Boxtel MP, Van Breukelen GJ, Jolles J: The Stroop color-word test: influence of age, sex, and education; and normative data for a large sample across the adult age range. Assessment. 2006, 13 (1): 62-79.View ArticlePubMedGoogle Scholar
  23. Bowie CR, Harvey PD: Administration and interpretation of the Trail Making Test. Nat Protoc. 2006, 1 (5): 2277-2281.View ArticlePubMedGoogle Scholar
  24. van den Berg E, Nys GM, Brands AM, Ruis C, van Zandvoort MJ, Kessels RP: The Brixton Spatial Anticipation Test as a test for executive function: validity in patient groups and norms for older adults. J Int Neuropsychol Soc. 2009, 15 (5): 695-703.View ArticlePubMedGoogle Scholar
  25. Houx PJ, Jolles J, Vreeling FW: Stroop interference: aging effects assessed with the Stroop Color-Word Test. Exp Aging Res. 1993, 19 (3): 209-224.View ArticlePubMedGoogle Scholar
  26. Mahurin RK, Cooke N: Verbal Series Attention Test: Clinical utility in the assessment of dementia. Clin Neuropsychol. 1996, 10 (1): 43-53.View ArticleGoogle Scholar
  27. Van der Elst W, Van Boxtel MP, Van Breukelen GJ, Jolles J: Normative data for the Animal, Profession and Letter M Naming verbal fluency tests for Dutch speaking participants and the effects of age, education, and sex. J Int Neuropsychol Soc. 2006, 12 (1): 80-89.View ArticlePubMedGoogle Scholar
  28. Schmand B, Groenink SC, van den Dungen M: Letter fluency: psychometric properties and Dutch normative data. Tijdschr Gerontol Geriatr. 2008, 39 (2): 64-76.View ArticlePubMedGoogle Scholar
  29. Schaapsmeerders P, Maaijwee NA, van Dijk EJ, Rutten-Jacobs LC, Arntz RM, Schoonderwaldt HC, Dorresteijn LD, Kessels RP, de Leeuw FE: Long-term cognitive impairment after first-ever ischemic stroke in young adults. Stroke. 2013, 44 (6): 1621-1628.View ArticlePubMedGoogle Scholar
  30. Zigmond AS, Snaith RP: The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983, 67 (6): 361-370.View ArticlePubMedGoogle Scholar
  31. Vercoulen JH, Swanink CM, Fennis JF, Galama JM, van der Meer JW, Bleijenberg G: Dimensional assessment of chronic fatigue syndrome. J Psychosom Res. 1994, 38 (5): 383-392.View ArticlePubMedGoogle Scholar
  32. Ware JE, Sherbourne CD: The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care. 1992, 30 (6): 473-483.View ArticlePubMedGoogle Scholar
  33. Sheehan DV, Lecrubier Y, Sheehan KH, Amorim P, Janavs J, Weiller E, Hergueta T, Baker R, Dunbar GC: The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J Clin Psychiatry. 1998, 59 (Suppl 20): 22-33. quiz 34-57PubMedGoogle Scholar
  34. Fazekas F, Chawluk JB, Alavi A, Hurtig HI, Zimmerman RA: MR signal abnormalities at 1.5 T in Alzheimer’s dementia and normal aging. Am J Roentgenol. 1987, 149 (2): 351-356.View ArticleGoogle Scholar
  35. Wahlund LO, Barkhof F, Fazekas F, Bronge L, Augustin M, Sjogren M, Wallin A, Ader H, Leys D, Pantoni L, Pasquier F, Erkinjuntti T, Scheltens P, European Task Force on Age-Related White Matter Changes: A new rating scale for age-related white matter changes applicable to MRI and CT. Stroke. 2001, 32 (6): 1318-1322.View ArticlePubMedGoogle Scholar
  36. Pasquier F, Leys D, Weerts JG, Mounier-Vehier F, Barkhof F, Scheltens P: Inter- and intraobserver reproducibility of cerebral atrophy assessment on MRI scans with hemispheric infarcts. Eur Neurol. 1996, 36 (5): 268-272.View ArticlePubMedGoogle Scholar
  37. van Norden AG, de Laat KF, Gons RA, van Uden IW, van Dijk EJ, van Oudheusden LJ, Esselink RA, Bloem BR, van Engelen BG, Zwarts MJ, Tendolkar I, Olde-Rikkert MG, van der Vlugt MJ, Zwiers MP, Norris DG, de Leeuw FE: Causes and consequences of cerebral small vessel disease. The RUN DMC study: a prospective cohort study. Study rationale and protocol. BMC Neurol. 2011, 11: 29-View ArticlePubMedPubMed CentralGoogle Scholar
  38. Hansen HH, Lopata RG, de Korte CL: Noninvasive carotid strain imaging using angular compounding at large beam steered angles: validation in vessel phantoms. IEEE Trans Med Imaging. 2009, 28 (6): 872-880.View ArticlePubMedGoogle Scholar
  39. Lopata RG, Nillesen MM, Hansen HH, Gerrits IH, Thijssen JM, de Korte CL: Performance evaluation of methods for two-dimensional displacement and strain estimation using ultrasound radio frequency data. Ultrasound Med Biol. 2009, 35 (5): 796-812.View ArticlePubMedGoogle Scholar
  40. Lopata RG, Hansen HH, Nillesen MM, Thijssen JM, De Korte CL: Comparison of one-dimensional and two-dimensional least-squares strain estimators for phased array displacement data. Ultrason Imaging. 2009, 31 (1): 1-16.View ArticlePubMedGoogle Scholar
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