Skip to main content
  • Research article
  • Open access
  • Published:

Long-term cognitive, psychosocial, and neurovascular complications of unilateral head and neck irradiation in young to middle-aged adults

Abstract

Background

With a growing, younger population of head and neck cancer survivors, attention to long-term side-effects of prior, often radiotherapeutic, treatment is warranted. Therefore, we studied the long-term cognitive effects in young adult patients irradiated for head and neck neoplasms (HNN).

Methods

Young to middle-aged adults with HNN (aged 18-40 years) and treated with unilateral neck irradiation ≥ 5 years before inclusion underwent cardiovascular risk and neuropsychological assessments and answered validated questionnaires regarding subjective cognitive complaints, fatigue, depression, quality of life, and cancer-specific distress. Additionally, magnetic resonance imaging (MRI) of the brain was performed to assess white matter hyperintensities (WMH), infarctions, and atrophy.

Results

Twenty-nine patients (aged 24–61, 13 men) median 9.2 [7.3–12.9] years post-treatment were included. HNN patients performed worse in episodic memory (Z-score = -1.16 [-1.58–0.34], p < 0.001) and reported more fatigue symptoms (Z-score = 1.75 [1.21–2.00], p < 0.001) compared to normative data. Furthermore, patients had a high level of fear of tumor recurrence (13 patients [44.8%]) and a heightened speech handicap index (13 patients [44.8%]). Only a small number of neurovascular lesions were found (3 infarctions in 2 patients and 0.11 [0.00–0.40] mL WMH), unrelated to the irradiated side. Cognitive impairment was not associated with WMH, brain atrophy, fatigue, or subjective speech problems.

Conclusions

HNN patients showed impairments in episodic memory and an increased level of fatigue ≥ 5 years after radiotherapy compared to normative data. Cognitive impairments could not be explained by WMH or brain atrophy on brain MRI or psychological factors.

Trial registration

Clinicaltrials.gov (https://clinicaltrials.gov/ct2/show/NCT04257968).

Peer Review reports

Background

Head and neck cancer (HNC) survival has increased over the past decades due to improved diagnostic and therapeutic modalities, such as modern diagnostic imaging, improved radiotherapy planning, and concurrent chemo-, immuno-, and radiotherapy [1,2,3]. A growing population of HNC survivors requires insight into long-term side-effects of prior radiotherapy [4, 5]. Although neurocognitive side-effects in other cancer types such as breast, colorectal, and prostate cancer are well established [6], little is known about these side-effects in HNC survivors.

HNC is a heterogeneous disease, including tumors of different histologies and at different sites such as carcinomas of the oral cavity, larynx, and (naso)pharynx but also salivary gland tumors. All these subtypes vary regarding treatment regimens and side-effects. However, cognitive decline within 2 years after treatment has been shown in various HNC populations in multiple small prospective studies, affecting memory, verbal fluency, motor function, and speed of information processing [7,8,9,10,11,12,13,14]. This cognitive decline seemed to persist > 5 years after treatment [15,16,17]. Concerning subjective complaints, memory problems, fatigue, anxiety, reduced quality of life, and depressive symptoms are frequently reported in HNC survivors [7, 9, 10, 14, 16,17,18,19].

Limited literature exists on the correlation of objective cognitive impairment in HNC survivors with subjective cognitive, physical, and psychological complaints and neurovascular abnormalities. We previously showed that lower cognitive performance correlated with subjective memory complaints and fatigue in HNC survivors > 5 years after radiotherapy [17]. This emphasizes the importance to consider both endpoints.

Besides, most studies have been performed in older patients (> 50 years) with typical, lifestyle-induced HNC. As HNC and cognitive decline may have a common etiology, such as alcohol and tobacco use [20, 21], the incidence and pathophysiology of cognitive impairment in a younger population with fewer comorbidities could differ. While research in non-HNC cancers showed that young cancer survivors may be more resilient to cognitive impairment [22], they are also in a life-stage in which they are highly active socially, professionally, and/or academically. This may explain why cognitive complaints and psychological distress are frequently reported by these patients [23]. With a rising incidence of HNC in a younger population related to the human papillomavirus (HPV) epidemic [ 24], increased research and clinical attention to cognitive impairment in young survivors are needed.

Here, we aim to estimate the association of radiotherapy of the neck with long-term cognitive functioning, fatigue, depressive symptoms, and quality of life in a unique cohort of young to middle-aged adults treated with unilateral radiotherapy of the neck. Assuming that vascular changes underlie cognitive decline, the extent and aspect of white matter hyperintensities (WMH) were related to the irradiated side of the neck.

Methods

This study is a cross-sectional study designed to determine the long-term vascular and cognitive complications of radiotherapy of the neck in young to middle-aged adults. Participants were recruited from the Radboud university medical center, the Netherlands, and identified by querying unilateral radiotherapy of the neck between 2010 and 2015 in the radiotherapy database. Patients were eligible for inclusion when they had been treated with unilateral radiotherapy for a malignant or benign head and neck neoplasm (HNN) ≥ 5 years before inclusion. The carotid artery had to be, at least partly, in the radiotherapy target volume. Age at diagnosis had to be between 18 and 40. Exclusion criteria were contraindications to magnetic resonance imaging (MRI) and insufficient command of the Dutch language. This study was performed in line with the principles of the 1964 Declaration of Helsinki. The study was approved by the Medical Ethics Review Committee Arnhem-Nijmegen (NL71550.091.19) on November 25, 2019, and registered at clinicaltrials.gov (NCT04257968). All participants provided written informed consent.

Radiation treatment

Before this study, all patients had been treated with external beam radiotherapy with a total dose of 26–100 Gy in 2-Gy fractions. Radiotherapy was applied with a linear accelerator (6-MV photon beams) using a three-dimensional conformal or intensity-modulated radiotherapy technique. Radiotherapy targets were defined by computed tomography and included the primary tumor site, usually the parotid gland or unilateral oropharynx, with or without the ipsilateral neck. Nobody received whole-brain radiotherapy.

Cardiovascular risk profile

Patients were invited to the outpatient clinic of the Radboudumc Center of Expertise for Cancer Survivorship. There, a structured cardiovascular disease (CVD) risk profile was assessed based on the European guidelines on cardiovascular disease prevention [25], including the following risk factors: I) Smoking: current/former, expressed in pack-years; II) Family history of CVD: first-degree males ≤ 55 years or females ≤ 65 years with CVD; III) Hypertension: systolic blood pressure > 140 mmHg or antihypertensive medication use; IV) Diabetes mellitus: non-fasting serum glucose > 11.1 mmol/L or antidiabetic drug use; V) Hypercholesterolemia: serum low-density lipoprotein ≥ 2.6 mmol/L and/or non-high-density lipoprotein ≥ 3.4 mmol/L; VI) Overweight: body mass index ≥ 25 and/or abdominal circumference ≥ 88 cm for women or ≥ 102 cm for men; VII) Chronic daily stress: daily stress > 6 months (work, private, etcetera); and VIII) Chronic renal insufficiency: CKD-EGFR < 90 ml/min/1.73 m2 and/or albumin-to-creatinine ratio > 3.

Neuropsychological assessment (NPA)

Education level was classified using seven categories based on the Dutch educational system, ranging from one (less than primary school) to seven (academic degree) [26]. NPAs were carried out by a trained examiner and consisted of validated, widely used tests to determine each individual’s performance in five cognitive domains: I) Episodic Memory (anterograde verbal memory), assessed by the total number correct (trials 1 to 3) and the delayed recall score of the Hopkins Verbal Learning Test [27]; II) Working Memory, measured by the backward and forward Digit Span test [28]; III) Executive Functioning, indexed by the Trail Making Test B/A ratio score [29], the Brixton Spatial Anticipation Test [30], and the Interference score of the Stroop Color-Word Test [31]; IV) Verbal Fluency (letter/category fluency) [32]; and V) Speed of Information Processing, based on the Stroop test (parts I and II) [31], Trail Making Test A [29], and Symbol Digit Substitution Test [33]. A more elaborate overview of the cognitive domain tests is provided in Appendix  1.

Psychological questionnaires

Psychological symptoms were assessed using the Brief Symptom Inventory (BSI), measuring emotional distress on different dimensions including somatization, depression, and anxiety [34]. Fear of cancer recurrence and its impact on daily life were assessed using the Cancer Worry Scale (CWS) [35]. A severe level of fear of recurrence is identified by a score ≥ 14 [35]. Subjective memory complaints were assessed with the Cognitive Failure Questionnaire (CFQ) [36]. Fear and depressive symptoms were assessed using the Hospital Anxiety and Depression Scale (HADS) [37]. A score ≥ 11 on the depression or anxiety subscales is classified as abnormal [37]. Fatigue was assessed using the Checklist Individual Strength (CIS-20R) [38]. A score ≥ 35 on the CIS-20R Fatigue subscale indicates a heightened experience of fatigue [39]. Cancer-specific distress was assessed using the Impact of Event Scale-Revised [40]. Self-perceived speech function was assessed using the Speech Handicap Index (SHI) [41], differentiating speech function from psychosocial functioning. A score ≥ 6 identifies patients with speech problems in daily life [41]. Quality of life was assessed using the European Organization for Research and Treatment for Cancer Quality of Life Questionnaire (EORTC-QLQ-C30) [42] with functional, symptom, and global subscales.

Brain MRI

Brain MRIs were acquired using a 3.0 Tesla MR-system (Skyra, Siemens Erlangen). The scan protocol included three-dimensional T1 magnetization-prepared rapid acquisition gradient echo (3DT1-MPRAGE), T2 turbo spin-echo (T2-TSE), and 3D fluid-attenuated inversion recovery (3DT2-FLAIR) brain sequences. Scan parameters included: 3DT1-MPRAGE) repetition time (TR)/echo time (TE) 2300/2.32 ms, inversion time (TI) 900 ms, slice thickness 0.9 mm, flip angle 8°, voxel size 0.9 × 0.9 × 0.9 mm3; T2-TSE) TR/TE 3500/92 ms, slice thickness 5 mm, flip angle 120°, voxel size 0.5 × 0.5 × 5 mm3; 3DT2-FLAIR) TR/TE 5000/394 ms, TI 1800 ms, slice thickness 1 mm, voxel size 0.5 × 0.5 × 1 mm3. Two experienced neuroradiologists rated brain infarctions and vascular WMH using the Fazekas scale [43]. Complementary, WMH were manually segmented on the FLAIR sequence images using Pinnacle treatment planning software (Philips Radiation Oncology Systems, Fitchburg, WI, USA) to assess WMH volumes in the irradiated and non-irradiated side. T1- and T2-weighted image sequences were used to identify WMH based on the STandards for ReportIng Vascular changes on nEuroimaging [44]. A previously published Brain Extraction Tool [45] was applied to automatically segment the T1-weighted images into brain and non-brain structures. Brain structures were subsequently segmented into grey matter (GM), white matter (WM), and cerebrospinal fluid (CSF) using the FMRIB’s Automated Segmentation Tool [46]. Tissue volumes were calculated by summing all voxel volumes belonging to that tissue type. The brain parenchymal fraction (BPF), as a measure of brain atrophy, was calculated as (volume GM + WM)/(volume WM + GM + CSF) [47].

Statistical analysis

Cognitive performance and questionnaire scores for each individual were adjusted for age, sex, and education level using available Dutch normative data and converted into standardized Z-scores. Composite scores per cognitive domain were calculated as the average of the Z-scores of the associated subtests (in case of more than one outcome measure). A composite Z-score ≤ -1.65 (i.e. ≤ 5th percentile) was classified as clinically impaired [48]. The number of patients with a composite score ≤ -1.65 or, if existing, exceeding a pre-specified cut-off value (for the psychological questionnaires) per cognitive domain and questionnaire were quantified.

Given the relatively small sample, data were expressed using the median and interquartile range (IQR) and statistical analysis was performed using non-parametric tests. One-sample Wilcoxon signed-rank tests were used to compare median Z-scores per cognitive domain and total Z-scores per questionnaire with the normative standardized median (Z = 0). In case the Wilcoxon signed-rank test was statistically significant for the total questionnaire score, individual questionnaire domains were tested accordingly. To assess the pathophysiological mechanism underlying cognitive impairments, MRI results and psychological questionnaires substantially differing from the normative mean were compared between patients with an impairment (Z-score ≤ -1.65) in ≥ 1 cognitive domain and those without such impairment using Mann–Whitney U tests. Analyses were corrected for multiple comparisons by the Benjamini–Hochberg method [49] with a false discovery rate of 0.05. Non-adjusted p-values are reported.

Results

Twenty-nine HNN patients were enrolled in this study. A flowchart of the patient inclusion is shown in Fig. 1. Ten additional eligible patients were excluded due to reasons stated in Fig. 1. All patients fulfilled the study protocol, except for one patient who refused a brain MRI. Patient characteristics are summarized in Table 1. Median age at inclusion was 41.0 [IQR: 33.5–47.0] years. Median follow-up after radiotherapy was 9.2 [7.3–12.9] years. One patient received a re-irradiation for a recurrence of the primary tumor resulting in a maximum physical dose of 100 Gy. Ten patients (34.5%) received concomitant chemotherapy. Five patients (17.2%) underwent extensive surgical interventions of the head and neck including a tongue (edge) resection, hemi-mandibulectomy, or cheek resection. Most patients (89.7%) had at least one CVD risk factor, including mostly hypercholesterolemia, chronic daily stress, and overweight. Cholesterol levels and renal function were unknown in 6 and 3 patients, respectively.

Fig. 1
figure 1

Flow-chart of patient inclusion. NPA = neuropsychological assessment, RT = radiotherapy, MRI = magnetic resonance imaging

Table 1 Patient characteristics
Table 2 Results cognitive domain data
Table 3 Results psychological questionnaires
Table 4 Association of cognitive impairment with fatigue, speech problems, vascular white matter hyper-intensities, and brain parenchymal fraction

Neuropsychological assessment

The neuropsychological assessment revealed a statistically significantly worse episodic-memory performance compared to normative data (Z-score = -1.16 [-1.58–0.34], p < 0.001) (Table 2).

Psychological questionnaires

Forty-five percent of patients reported a severe level of fear of tumor recurrence (CWS-score ≥ 14) (Table 3). Furthermore, fatigue was highly prevalent: 51.7% experienced severe fatigue (subjective fatigue score ≥ 35) and Z-scores were statistically significant higher in all fatigue dimensions compared to normative data (p < 0.001). Additionally, 44.8% of patients reported speech problems in daily life (SHI-score ≥ 6). All other questionnaires did not differ from normative means.

Brain MRI

The twenty-eight brain MRIs showed 3 brain infarctions in 2 patients (bilaterally in one patient and ipsilateral to the irradiated side in the other patient). WMH were classified as Fazekas 0 and 1 in 10 (35.7%) and 18 patients (64.2%), respectively. No patients had Fazekas 2–3 WMH. Total volume of WMH was 0.11 [0.00–0.40] mL, unrelated to radiation side (irradiated side: 0.05 [0.00–0.19] mL, control side: 0.03 [0.00–0.26] mL, p = 0.62). Median BPF, as a measure of brain atrophy, was 0.78 [0.77–0.79].

Association cognitive performance, fatigue, speech problems, WMH, and brain atrophy

Patients with an impairment in ≥ 1 cognitive domain did not show statistically significant differences in fatigue severity, speech handicap index, WMH volume, or brain atrophy compared to patients without cognitive impairment (Table 4).

Discussion

In this cross-sectional study, a unique cohort of twenty-nine young to middle-aged adult HNN survivors was included with median 9 years of follow-up after unilateral radiation of the neck. To assess long-term cognitive and psychological side-effects of HNN treatment, all patients underwent a neuropsychological assessment, completed psychological questionnaires, and had a brain MRI. HNN patients had an impaired episodic memory compared to normative data. This impairment was not associated with WMH, brain atrophy, fatigue, or self-perceived speech problems. Besides, patients reported more fatigue, fear of tumor recurrence, and speech problems compared to normative data.

With a growing, younger population of HNC survivors, partly due to the HPV epidemic, attention and prevention of long-term cognitive side-effects of treatment become increasingly important. Only limited data are available on the long-term side-effects. Most prior studies are limited to older, typical HNC patients. As a result, evidence-based personalized screening and prevention guidelines for long-term complications are lacking in clinical practice.

The memory impairment in our sample of HNN survivors many years after radiotherapy is in concordance with previous studies in HNC on short-term (< 2 years) [7, 9,10,11,12,13,14] and long-term (≥ 5 years) sequelae after treatment [14, 15]. Although previous studies also found a decreased speed of information processing, we only found a trend in this direction in HNN patients. This discrepancy may be due to the small number of patients or younger age of our study cohort with less cardiovascular risk factors (by themselves related to cognitive decline [50]) if compared to older, more typical HNC survivors. Multiple studies in hematologic, breast, and ovarian cancers showed that older age was associated with cognitive impairment after treatment [51]. Younger survivors may be more resilient to cognitive impairment due to a greater cognitive reserve [52], i.e. an individual’s ability to compensate for brain pathology [53]. This greater cognitive reserve in young patients may be related to higher neuroplasticity, i.e. the ability to form neural connections enabling compensatory pathways [22]. This high neuroplasticity leads to maintained neurocognitive performance and recovery from cognitive impairment [52].

The pathophysiological mechanism underlying cognitive impairment in HNC patients is not completely understood. Radiation to the carotid artery is thought to accelerate carotid atherosclerosis due to radiation-induced endothelial cell damage, fibrosis of the intima-medial layer, development of atherosclerotic plaques, and occlusion of the vasa vasorum leading to arterial wall ischemia [54]. Radiation-induced carotid vasculopathy, i.e. increased intima-media thickness and carotid artery stenosis has been shown in previous studies [55, 56]. Cerebrovascular lesions such as WMH [57] secondary to carotid vasculopathy [57] are associated with progressive cognitive decline and a two-fold dementia risk [58, 59] and are thought to underly cognitive impairment after neck irradiation. This is, in contrast to (scattered) radiation to the brain, an indirect effect. In the context of another study [submitted for publication], all patients included in this study underwent a bilateral carotid ultrasound. Ten patients (34%) had (a) carotid plaque(s), i.e. an intima-media thickness ≥ 1.5 mm, but they were not hemodynamically significant (stenosis percentage < 50%) and showed no signs of instability. These results, together with the low number of neurovascular lesions, make it unlikely that carotid pathology underlies the cognitive impairment found in the current study. However, also direct effects of radiotherapy to the brain have been reported in for example nasopharyngeal tumor patients [10] and cannot be excluded in the current study. Patients treated with radiotherapy for parotid gland tumors or high metastatic lymph nodes in the neck may have had low radiation doses to the ipsilateral temporal lobe or cerebellum, respectively. Although these effects are likely to be limited as radiation doses were low and direct effects are dose-dependent [10], some effect of this cannot be excluded. However, radiation doses to the frontal and parietal regions of the brain are negligible in our patient population.

Unique in this study was the comparison in neurovascular abnormalities between the radiated and non-irradiated vascular brain territory, excluding the influence of confounding factors. To our knowledge, only we have previously studied the relation between WMH and cognitive impairment in long-term HNC survivors [17]. In concordance with our previous findings, WMH were currently not associated with cognitive impairment. Cognitive scores were also not related to tumor laterality or to tumor laterality relative to manual laterality. However, we previously found an association between brain infarctions and cognitive impairment that was absent in the current study. The two patients with brain infarctions in the current study reported severe fatigue (Z-score = 2.05–2.84) but did not have any other cognitive or psychological impairments. Cognitive decline in HNC patients has furthermore been associated with fatigue, fear, depressive symptoms, and self-perceived speech problems [14, 17, 60]. However, we currently did not find such association. These discrepancies may be explained by different aspects of brain infarctions, e.g. localization, size, and time-since brain infarction. Alternatively, there is a common etiology of HNC and cognitive decline in older age, such as alcohol and tobacco use, that are less common in our study cohort. A different pathophysiological mechanism underlying cognitive decline in younger patients would entail alternative prevention strategies in this population.

A growing and younger population of HNC survivors also asks for adjustments of screening and prevention methods to age-specific psychosocial complaints. Fatigue is reported in one-fourth of young adult cancer survivors 5–30 years after treatment [61]. An even higher prevalence (up to 79%) was also found ≥ 5 years after treatment in older, typical HNC patients [17]. Despite its high prevalence, this symptom is underrecognized and often left untreated [62]. Fatigue may negatively influence work, social relationships, mood, daily activities, and quality of life [63]. With work and a career at stake, fatigue may have an even higher impact on younger HNC survivors. Attention to the presence and possible treatment of fatigue is, therefore, necessary in this population.

Besides fatigue, fear of cancer recurrence is one of the most important late effects in HNC survivors [64]. While the likelihood of recurrence is highest within two years after diagnosis [65], the intensity of fear of recurrence does not significantly change over time [66, 67]. High fear of tumor recurrence is reported in 31–52% of patients 1–20 years after treatment amongst different cancer types [35, 68,69,70]. Although not all tumors in our cohort were malignant, we found a comparable high rate of fear of recurrence of 44.8%. Psychological interventions including (contemporary) behavioral therapy have shown to be effective in sustainably reducing this fear and, therefore, should be considered in this population.

Speech problems can be differentiated in speech function (e.g. articulation problems due to anatomical-physiological dysfunction resulting from surgery or radiotherapy) and psychosocial function (e.g. shame of speech function). Due to the different tumor nature and treatment in HNN patients compared to HNC patients with lower radiotherapy doses, less mutilating surgeries (mostly parotidectomies), and less tumor involvement of the larynx, our cohort cannot be compared to HNC patients. Besides the abovementioned speech problems, it is also important to account for communication problems due to speech formulation and perception (e.g. word-finding difficulties due to cognitive impairment resulting from neurovascular damage) that are currently not incorporated in screening tools.

Despite the memory impairment, patients did not report cognitive complaints. Multiple studies showed that patients' subjective cognitive symptoms do not correlate with objective cognitive function [71, 72]. Additionally, QoL was relatively unaffected in HNN patients despite the high prevalence of fatigue, fear of tumor recurrence, and self-reported speech problems. In other words, psychosocial complaints minimally affect daily life in these patients. This is consistent with other studies in long-term HNC survivors [17, 73, 74]. QoL is typically most affected shortly after diagnosis but returns to baseline values 48–72 months after treatment [75]. This is presumably due to a change in internal standards, values, and priorities of patients over time, known as ‘response shift’ [76].

Some limitations of our study must be taken into consideration when interpreting the results. The small sample limits statistical analysis and inferences as possible confounders, such as cardiovascular disease, alcohol use, concomitant treatment (among others surgical intervention and chemotherapeutic treatment), and time-since-treatment could not be corrected for. These concomitant treatments are, however, known to affect cognitive performance in HNC patients [7, 8, 11, 77]. Furthermore, pre-treatment cognitive and psychosocial functioning were not assessed, while a decreased cognitive performance has been reported before treatment in HNC patients [60, 78, 79]. The lack of a control group to assess cognitive impairment could have induced false positive results to assess cognitive impairment [77]. A large prospective, longitudinal study including a control group not exposed to radiotherapy but otherwise treated similarly with similar demographic and socioeconomic status assessing pre- and posttreatment cognitive performance, and considering the time-since-treatment, would be valuable for future studies. With the inclusion of unilateral irradiated HNN patients, we could compare neurovascular abnormalities, related to cognitive impairment, in the radiated and non-irradiated vascular brain territory unaffected by possible confounding factors. However, we did not find such asymmetry. Further studies with an even longer follow-up and higher radiation doses are warranted to verify this lack of asymmetry. Additionally, the current study only focused on structural neuroimaging (WMH and infarctions). More advanced neuroimaging techniques, including diffusion-weighted imaging, susceptibility-weighted imaging, and functional MRI would be valuable to detect microstructural damage. Diffusion-weighted imaging is sensitive to white matter damage in both WMH and normal-appearing white matter [80], and diffusion tensor imaging measures have been shown to correlate more strongly with cognitive impairment than WMH [81]. In contrast to previous studies in HNC patients, we also included patients with benign HNN with possibly fewer side-effects as only including HNC patients would have resulted in a very small sample. Furthermore, patients were partly included during the COVID-19 pandemic which may have influenced patients’ psychosocial functioning, but this influence remains to be assessed.

Conclusions

In conclusion, we evaluated long-term cognitive and psychological side-effects of head and neck radiotherapy in young to middle-aged adults. HNN patients had an episodic memory impairment that was not associated with WMH, brain atrophy, fatigue, or self-perceived speech problems. Moreover, HNN patients reported severe fatigue compared to normative data and had a high level of fear of tumor recurrence and subjective speech problems. Attention, prevention, and possible early treatment of long-term cognitive and psychosocial side-effects are warranted in HNC patients.

Availability of data and material

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

BPF:

Brain parenchymal fraction

BSI:

Brief Symptom Inventory

CFQ:

Cognitive Failure Questionnaire

CIS-20R:

Checklist Individual Strength

CSF:

Cerebrospinal fluid

CVD:

Cardiovascular disease

CWS:

Cancer Worry Scale

3DT1-MPRAGE:

Three-dimensional T1 magnetization-prepared rapid acquisition gradient-echo

3DT2-FLAIR:

Three-dimensional T2 fluid-attenuated inversion recovery

EORTC-QLQ-C30:

European Organization for Research and Treatment for Cancer Quality of Life Questionnaire

GM:

Gray matter

HADS:

Hospital Anxiety and Depression Scale

HNC:

Head and neck cancer

HNN:

Head and neck neoplasms

HPV:

Human papillomavirus

IQR:

Interquartile range

MRI:

Magnetic resonance imaging

NPA:

Neuropsychological assessment

SHI:

Speech Handicap Index

T2-TSE:

T2 turbo spin-echo

TE:

Echo time

TI:

Inversion time

TR:

Repetition Time

WM:

White matter

WMH:

White matter hyperintensities

References

  1. Kaanders J, van den Bosch S, Dijkema T, Al-Mamgani A, Raaijmakers CPJ, Vogel WV. Advances in cancer imaging require renewed radiotherapy dose and target volume concepts. Radiother Oncol. 2020;148:140–2.

    Article  CAS  PubMed  Google Scholar 

  2. van den Bosch S, Doornaert PAH, Dijkema T, Zwijnenburg EM, Verhoef LCG, Hoeben BAW, et al. (18)F-FDG-PET/CT-based treatment planning for definitive (chemo)radiotherapy in patients with head and neck squamous cell carcinoma improves regional control and survival. Radiother Oncol. 2020;142:107–14.

    Article  PubMed  CAS  Google Scholar 

  3. Lacas B, Carmel A, Landais C, Wong SJ, Licitra L, Tobias JS, et al. Meta-analysis of chemotherapy in head and neck cancer (MACH-NC): An update on 107 randomized trials and 19805 patients, on behalf of MACH-NC group. Radiother Oncol. 2021;156:281–93.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Oeffinger KC, Mertens AC, Sklar CA, Kawashima T, Hudson MM, Meadows AT, et al. Chronic health conditions in adult survivors of childhood cancer. N Engl J Med. 2006;355(15):1572–82.

    Article  CAS  PubMed  Google Scholar 

  5. Suh E, Stratton KL, Leisenring WM, Nathan PC, Ford JS, Freyer DR, et al. Late mortality and chronic health conditions in long-term survivors of early-adolescent and young adult cancers: a retrospective cohort analysis from the Childhood Cancer Survivor Study. Lancet Oncol. 2020;21(3):421–35.

    Article  PubMed  PubMed Central  Google Scholar 

  6. McDougall GJ Jr, Oliver JS, Scogin F. Memory and cancer: a review of the literature. Arch Psychiatr Nurs. 2014;28(3):180–6.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Zer A, Pond GR, Razak ARA, Tirona K, Gan HK, Chen EX, et al. Association of Neurocognitive Deficits With Radiotherapy or Chemoradiotherapy for Patients With Head and Neck Cancer. JAMA Otolaryngol Head Neck Surg. 2018;144(1):71–9.

    PubMed  Google Scholar 

  8. Bond SM, Dietrich MS, Gilbert J, Ely EW, Jackson JC, Murphy BA. Neurocognitive function in patients with head and neck cancer undergoing primary or adjuvant chemoradiation treatment. Support Care Cancer. 2016;24(10):4433–42.

    Article  PubMed  Google Scholar 

  9. Bolt S, Baylor C, Burns M, Eadie T. “I would have told you about being forgetful, but I forgot”: the experience of cognitive changes and communicative participation after head and neck cancer. Disabil Rehabil. 2020;42(7):931–9.

  10. Gan HK, Bernstein LJ, Brown J, Ringash J, Vakilha M, Wang L, et al. Cognitive Functioning After Radiotherapy or Chemoradiotherapy for Head-and-Neck Cancer. Int J Radiat Oncol Biol Phys. 2011;81(1):126–34.

    Article  PubMed  Google Scholar 

  11. Hsiao K-Y, Yeh S-A, Chang C-C, Tsai P-C, Wu J-M, Gau J-S. Cognitive Function Before and After Intensity-Modulated Radiation Therapy in Patients With Nasopharyngeal Carcinoma: A Prospective Study. Int J Radiat Oncol Biol Phys. 2010;77(3):722–6.

    Article  PubMed  Google Scholar 

  12. Hua MS, Chen ST, Tang LM, Leung WM. Neuropsychological function in patients with nasopharyngeal carcinoma after radiotherapy. J Clin Exp Neuropsychol. 1998;20(5):684–93.

    Article  CAS  PubMed  Google Scholar 

  13. Lam Linda C. W, Leung S. F, Chan Y. L. Progress of Memory Function After Radiation Therapy in Patients With Nasopharyngeal Carcinoma. The Journal of Neuropsychiatry and Clinical Neurosciences. 2003;15(1):90–7.

    Article  PubMed  Google Scholar 

  14. Tang Y, Luo D, Rong X, Shi X, Peng Y. Psychological disorders, cognitive dysfunction and quality of life in nasopharyngeal carcinoma patients with radiation-induced brain injury. PLoS One. 2012;7:6 e36529.

    PubMed  Google Scholar 

  15. Lee PW, Hung BK, Woo EK, Tai PT, Choi DT. Effects of radiation therapy on neuropsychological functioning in patients with nasopharyngeal carcinoma. J Neurol Neurosurg Psychiatry. 1989;52(4):488–92.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. McDowell LJ, Ringash J, Xu W, Chan B, Lu L, Waldron J, et al. A cross sectional study in cognitive and neurobehavioral impairment in long-term nasopharyngeal cancer survivors treated with intensity-modulated radiotherapy. Radiother Oncol. 2019;131:179–85.

    Article  PubMed  Google Scholar 

  17. Wilbers J, Kappelle AC, Versteeg L, Tuladhar AM, Steens SCA, Meijer FJA, et al. Cognitive function, depression, fatigue and quality of life among long-term survivors of head and neck cancer. Neurooncol Pract. 2015;2(3):144–50.

    PubMed  PubMed Central  Google Scholar 

  18. McDowell L, Corry J, Ringash J, Rischin D. Quality of Life, Toxicity and Unmet Needs in Nasopharyngeal Cancer Survivors. Front Oncol. 2020;10:930.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Mo Y-L, Li L, Qin L, Zhu X-D, Qu S, Liang X, et al. Cognitive function, mood, and sleep quality in patients treated with intensity-modulated radiation therapy for nasopharyngeal cancer: A prospective study. Psycho-oncology. 2014;23(10):1185–91.

    Article  PubMed  Google Scholar 

  20. Anstey KJ, Mack HA, Cherbuin N. Alcohol consumption as a risk factor for dementia and cognitive decline: meta-analysis of prospective studies. Am J Geriatr Psychiatry. 2009;17(7):542–55.

    Article  PubMed  Google Scholar 

  21. Anstey KJ, von Sanden C, Salim A, O’Kearney R. Smoking as a risk factor for dementia and cognitive decline: a meta-analysis of prospective studies. Am J Epidemiol. 2007;166(4):367–78.

  22. Ismail FY, Fatemi A, Johnston MV. Cerebral plasticity: Windows of opportunity in the developing brain. Eur J Paediatr Neurol. 2017;21(1):23–48.

    Article  PubMed  Google Scholar 

  23. Dewar EO, Ahn C, Eraj S, Mahal BA, Sanford NN. Psychological distress and cognition among long-term survivors of adolescent and young adult cancer in the USA. J Cancer Surviv. 2021;15(5):776–84.

    Article  PubMed  Google Scholar 

  24. Panwar A, Batra R, Lydiatt WM, Ganti AK. Human papilloma virus positive oropharyngeal squamous cell carcinoma: A growing epidemic. Cancer Treat Rev. 2014;40(2):215–9.

    Article  PubMed  Google Scholar 

  25. Piepoli MF, Hoes AW, Agewall S, Albus C, Brotons C, Catapano AL, et al. 2016 European Guidelines on cardiovascular disease prevention in clinical practice: The Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of 10 societies and by invited experts)Developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation (EACPR). Eur Heart J. 2016;37(29):2315–81.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Verhage F. Intelligentie en leeftijd bij volwassenen en bejaarden. Groningen: Koninklijke Van Gorcum; 1964. 98 p.

  27. 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.

  28. Wechsler D. Wechsler Adult Intelligence Scale-3rd Edition (WAIS-III). San Antonio: TX: Harcourt Assessment; 1997.

  29. Partington JE, Leiter RG. Partington’s Pathways Test. Psychological Service Center Journal. 1949;1:11–20.

  30. 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.

    Article  PubMed  Google Scholar 

  31. Houx PJ, Jolles J, Vreeling FW. Stroop interference: aging effects assessed with the Stroop Color-Word Test. Exp Aging Res. 1993;19(3):209–24.

    Article  CAS  PubMed  Google Scholar 

  32. Schmand B, Groenink SC, van den Dungen M. Letter fluency: psychometric properties and Dutch normative data. Tijdschr Gerontol Geriatr. 2008;39(2):64–76.

    Article  CAS  PubMed  Google Scholar 

  33. Schaapsmeerders P, Maaijwee NA, van Dijk EJ, Rutten-Jacobs LC, Arntz RM, Schoonderwaldt HC, et al. Long-term cognitive impairment after first-ever ischemic stroke in young adults. Stroke. 2013;44(6):1621–8.

    Article  CAS  PubMed  Google Scholar 

  34. Recklitis CJ, Blackmon JE, Chang G. Validity of the Brief Symptom Inventory-18 (BSI-18) for identifying depression and anxiety in young adult cancer survivors: Comparison with a Structured Clinical Diagnostic Interview. Psychol Assess. 2017;29(10):1189–200.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Custers JAE, van den Berg SW, van Laarhoven HWM, Bleiker EMA, Gielissen MFM, Prins JB. The Cancer Worry Scale: Detecting Fear of Recurrence in Breast Cancer Survivors. Cancer Nurs. 2014;37(1):E44–50.

    Article  PubMed  Google Scholar 

  36. Ponds R, Boxtel M, Jolles J. De “Cognitive Failure Questionnaire” als maat voor subjectief cognitief functioneren. Tijdschrift voor Neuropsychologie. 2006;1:37–45.

  37. Zigmond AS, Snaith RP. The hospital anxiety and depression scale. Acta Psychiatr Scand. 1983;67(6):361–70.

    Article  CAS  PubMed  Google Scholar 

  38. Vercoulen JHMM, Swanink CMA, Fennis JFM, Galama JMD, Vandermeer JWM, Bleijenberg G. Dimensional Assessment of Chronic Fatigue Syndrome. J Psychosom Res. 1994;38(5):383–92.

    Article  CAS  PubMed  Google Scholar 

  39. Worm-Smeitink M, Gielissen M, Bloot L, van Laarhoven HWM, van Engelen BGM, van Riel P, et al. The assessment of fatigue: Psychometric qualities and norms for the Checklist individual strength. J Psychosom Res. 2017;98:40–6.

    Article  CAS  PubMed  Google Scholar 

  40. van der Ploeg E, Mooren TT, Kleber RJ, van der Velden PG, Brom D. Construct validation of the Dutch version of the impact of event scale. Psychol Assess. 2004;16(1):16–26.

    Article  PubMed  Google Scholar 

  41. Rinkel RN, Leeuw IMVD, van Reij EJ, Aaronson NK, Leemans CR. Speech handicap index in patients with oral and pharyngeal cancer: Better understanding of patients’ complaints. Head and Neck-Journal for the Sciences and Specialties of the Head and Neck. 2008;30(7):868–74.

  42. van de Poll-Franse LV, Mols F, Gundy CM, Creutzberg CL, Nout RA, Verdonck-de Leeuw IM, et al. Normative data for the EORTC QLQ-C30 and EORTC-sexuality items in the general Dutch population. Eur J Cancer. 2011;47(5):667–75.

    Article  PubMed  Google Scholar 

  43. 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):351–6.

  44. Wardlaw JM, Smith EE, Biessels GJ, Cordonnier C, Fazekas F, Frayne R, et al. Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration. The Lancet Neurology. 2013;12(8):822–38.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Smith SM. Fast robust automated brain extraction. Hum Brain Mapp. 2002;17(3):143–55.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Zhang YY, Brady M, Smith S. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE Trans Med Imaging. 2001;20(1):45–57.

    Article  CAS  PubMed  Google Scholar 

  47. van der Holst HM, Tuladhar AM, van Norden AGW, de Laat KF, van Uden IWM, van Oudheusden LJB, et al. Microstructural integrity of the cingulum is related to verbal memory performance in elderly with cerebral small vessel disease: The RUN DMC study. Neuroimage. 2013;65:416–23.

    Article  PubMed  Google Scholar 

  48. Lezak MD, Howieson DB, Bigler ED, Tranel D. Neuropsychological assessment, 5th ed. New York, NY, US: Oxford University Press; 2012. xxv, 1161-xxv, p.

  49. Benjamini Y, Hochberg Y. Controlling the False Discovery Rate - a Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statistical Society Series B-Statistical Methodology. 1995;57(1):289–300.

    Google Scholar 

  50. Dregan A, Stewart R, Gulliford MC. Cardiovascular risk factors and cognitive decline in adults aged 50 and over: a population-based cohort study. Age Ageing. 2013;42(3):338–45.

    Article  PubMed  Google Scholar 

  51. Ahles TA, Root JC, Ryan EL. Cancer- and cancer treatment-associated cognitive change: an update on the state of the science. J Clin Oncol. 2012;30(30):3675–86.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Jim HSL, Jennewein SL, Quinn GP, Reed DR, Small BJ. Cognition in Adolescent and Young Adults Diagnosed With Cancer: An Understudied Problem. J Clin Oncol. 2018;36(27):2752–4.

    Article  PubMed  PubMed Central  Google Scholar 

  53. Stern Y. Cognitive reserve. Neuropsychologia. 2009;47(10):2015–28.

    Article  PubMed  PubMed Central  Google Scholar 

  54. Dorresteijn LD, Kappelle AC, Boogerd W, Klokman WJ, Balm AJ, Keus RB, et al. Increased risk of ischemic stroke after radiotherapy on the neck in patients younger than 60 years. J Clin Oncol. 2002;20(1):282–8.

    Article  PubMed  Google Scholar 

  55. Gujral DM, Chahal N, Senior R, Harrington KJ, Nutting CM. Radiation-induced carotid artery atherosclerosis. Radiother Oncol. 2014;110(1):31–8.

    Article  PubMed  Google Scholar 

  56. Wilbers J, Dorresteijn LD, Haast R, Hoebers FJ, Kaanders JH, Boogerd W, et al. Progression of carotid intima media thickness after radiotherapy: a long-term prospective cohort study. Radiother Oncol. 2014;113(3):359–63.

    Article  PubMed  Google Scholar 

  57. Plummer C, Henderson RD, O’Sullivan JD, Read SJ. Ischemic Stroke and Transient Ischemic Attack After Head and Neck Radiotherapy A Review. Stroke. 2011;42(9):2410–8.

  58. Debette S, Markus HS. The clinical importance of white matter hyperintensities on brain magnetic resonance imaging: systematic review and meta-analysis. BMJ. 2010;341:c3666.

    Article  PubMed  PubMed Central  Google Scholar 

  59. Williams AM, Lindholm J, Siddiqui F, Ghanem TA, Chang SS. Clinical Assessment of Cognitive Function in Patients with Head and Neck Cancer: Prevalence and Correlates. Otolaryngology-Head and Neck Surgery. 2017;157(5):808–15.

    Article  PubMed  Google Scholar 

  60. Piai V, Prins JB, Verdonck-de Leeuw IM, Leemans CR, Terhaard CHJ, Langendijk JA, et al. Assessment of Neurocognitive Impairment and Speech Functioning Before Head and Neck Cancer Treatment. JAMA Otolaryngol Head Neck Surg. 2019;145(3):251–7.

    Article  PubMed  PubMed Central  Google Scholar 

  61. Bøhn S-KH, Thorsen L, Kiserud CE, Fosså SD, Lie HC, Loge JH, et al. Chronic fatigue and associated factors among long-term survivors of cancers in young adulthood. Acta Oncologica. 2019;58(5):753–62.

    Article  PubMed  Google Scholar 

  62. Stone P, Richardson A, Ream E, Smith AG, Kerr DJ, Kearney N. Cancer-related fatigue: Inevitable, unimportant and untreatable? Results of a multi-centre patient survey. Ann Oncol. 2000;11(8):971–6.

    Article  CAS  PubMed  Google Scholar 

  63. Curt GA, Breitbart W, Cella D, Groopman JE, Horning SJ, Itri LM, et al. Impact of cancer-related fatigue on the lives of patients: new findings from the Fatigue Coalition. Oncologist. 2000;5(5):353–60.

    Article  CAS  PubMed  Google Scholar 

  64. Nguyen N-TA, Ringash J. Head and Neck Cancer Survivorship Care: A Review of the Current Guidelines and Remaining Unmet Needs. Current Treatment Options in Oncology. 2018;19(8):44.

    Article  PubMed  Google Scholar 

  65. Pignon JP, le Maitre A, Maillard E, Bourhis J. Group M-NC. Meta-analysis of chemotherapy in head and neck cancer (MACH-NC): an update on 93 randomised trials and 17,346 patients. Radiother Oncol. 2009;92(1):4–14.

    Article  PubMed  Google Scholar 

  66. Koch L, Jansen L, Brenner H, Arndt V. Fear of recurrence and disease progression in long-term (≥5 years) cancer survivors—a systematic review of quantitative studies. Psychooncology. 2013;22(1):1–11.

    Article  CAS  PubMed  Google Scholar 

  67. Simard S, Thewes B, Humphris G, Dixon M, Hayden C, Mireskandari S, et al. Fear of cancer recurrence in adult cancer survivors: a systematic review of quantitative studies. J Cancer Surviv. 2013;7(3):300–22.

    Article  PubMed  Google Scholar 

  68. Custers JA, Tielen R, Prins JB, de Wilt JH, Gielissen MF, van der Graaf WT. Fear of progression in patients with gastrointestinal stromal tumors (GIST): Is extended lifetime related to the Sword of Damocles? Acta Oncol. 2015;54(8):1202–8.

    Article  PubMed  Google Scholar 

  69. Custers JAE, Gielissen MFM, Janssen SHV, de Wilt JHW, Prins JB. Fear of cancer recurrence in colorectal cancer survivors. Support Care Cancer. 2016;24(2):555–62.

    Article  PubMed  Google Scholar 

  70. van de Wal M, van Oort I, Schouten J, Thewes B, Gielissen M, Prins J. Fear of cancer recurrence in prostate cancer survivors. Acta Oncol. 2016;55(7):821–7.

    Article  PubMed  Google Scholar 

  71. Dang J, King KM, Inzlicht M. Why Are Self-Report and Behavioral Measures Weakly Correlated? Trends Cogn Sci. 2020;24(4):267–9.

    Article  PubMed  PubMed Central  Google Scholar 

  72. Konen T, Karbach J. Self-Reported Cognitive Failures in Everyday Life: A Closer Look at Their Relation to Personality and Cognitive Performance. Assessment. 2020;27(5):982–95.

    Article  PubMed  Google Scholar 

  73. Abel E, Silander E, Nyman J, Björk-Eriksson T, Hammerlid E. Long-Term Aspects of Quality of Life in Head and Neck Cancer Patients Treated With Intensity Modulated Radiation Therapy: A 5-Year Longitudinal Follow-up and Comparison with a Normal Population Cohort. Adv Radiat Oncol. 2020;5(1):101–10.

    Article  PubMed  Google Scholar 

  74. Chen AM, Daly ME, Farwell DG, Vazquez E, Courquin J, Lau DH, et al. Quality of life among long-term survivors of head and neck cancer treated by intensity-modulated radiotherapy. JAMA Otolaryngol Head Neck Surg. 2014;140(2):129–33.

    Article  PubMed  Google Scholar 

  75. Heijnen BJ, Speyer R, Kertscher B, Cordier R, Koetsenruijter KWJ, Swan K, et al. Dysphagia, Speech, Voice, and Trismus following Radiotherapy and/or Chemotherapy in Patients with Head and Neck Carcinoma: Review of the Literature. BioMed Res Int. 2016;2016:6086894.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  76. Schwartz CE, Sprangers MA. Methodological approaches for assessing response shift in longitudinal health-related quality-of-life research. Soc Sci Med. 1999;48(11):1531–48.

    Article  CAS  PubMed  Google Scholar 

  77. Bernstein LJ, McCreath GA, Komeylian Z, Rich JB. Cognitive impairment in breast cancer survivors treated with chemotherapy depends on control group type and cognitive domains assessed: A multilevel meta-analysis. Neurosci Biobehav Rev. 2017;83:417–28.

    Article  PubMed  Google Scholar 

  78. Piai V, Jansen F, Dahlslätt K, Verdonck-de Leeuw IM, Prins J, Leemans R, et al. Prevalence of neurocognitive and perceived speech deficits in patients with head and neck cancer before treatment: Associations with demographic, behavioral, and disease-related factors. Head & Neck. 2021;n/a(n/a).

  79. Sinha P, Wong AWK, Kallogjeri D, Piccirillo JF. Baseline Cognition Assessment Among Patients With Oropharyngeal Cancer Using PROMIS and NIH Toolbox. JAMA Otolaryngology-Head & Neck Surgery. 2018;144(11):978–87.

    Article  Google Scholar 

  80. Pasi M, van Uden IWM, Tuladhar AM, de Leeuw F-E, Pantoni L. White Matter Microstructural Damage on Diffusion Tensor Imaging in Cerebral Small Vessel Disease. Stroke. 2016;47(6):1679–84.

    Article  PubMed  Google Scholar 

  81. Nitkunan A, Barrick TR, Charlton RA, Clark CA, Markus HS. Multimodal MRI in cerebral small vessel disease: its relationship with cognition and sensitivity to change over time. Stroke. 2008;39(7):1999–2005.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

The authors want to thank all patients for participating in this study, E.H.J. van Kampen for executing the neuropsychological assessments, I. Klabbers-Helsper for her contribution to the data analysis, and K.H.P. Theijssen for her support in study management and planning.

Funding

This work was supported by the Dr. C.J. Vaillant Fund. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization: JP, JK and JW; Data curation: JP, AW, and JW; Formal analysis: JP, AW, RK, VP, AT, JK, and JW; Funding acquisition: JW; Investigation: JP, AW, FM, SP, and JW; Methodology: JP, JK, and JW; Project administration: JP and AW; Resources: JW; Supervision: JK and JW; Validation: JP, JK, and JW; Visualization: JP; Writing – original draft: JP and AW; Writing – review & editing: JP, RK, VP, FM, SP, JL, AT, HH, JK, and JW. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Judith T. Pruijssen.

Ethics declarations

Ethics approval and consent to participate

This study was performed in line with the principles of the 1964 Declaration of Helsinki. The study approved by the Medical Ethics Review Committee Arnhem-Nijmegen (NL71550.091.19) at November 25, 2019. Informed consent was obtained from all subjects involved in the study.

Consent for publication

Not applicable.

Competing interests

The authors declare no conflicts of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Additional file 1:  Appendix 1.

Cognitive domains with corresponding subtests of the neuropsychological assessment

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Pruijssen, J.T., Wenmakers, A., Kessels, R.P.C. et al. Long-term cognitive, psychosocial, and neurovascular complications of unilateral head and neck irradiation in young to middle-aged adults. BMC Cancer 22, 244 (2022). https://doi.org/10.1186/s12885-022-09295-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12885-022-09295-9

Keywords