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Objectives: To identify associations between frailty and non-response to follow-up questionnaires, in a longitudinal head and neck cancer (HNC) study with patient-reported outcome measures (PROMs). Materials and methods: Patients referred with HNC were included in OncoLifeS, a prospective data-biobank, underwent Geriatric Assessment (GA) and frailty screening ahead of treatment, and were followed up at 3, 6, 12 and 24 months after treatment using the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 and Head and Neck 35. Statistical analysis for factors associated with non-response was done using Generalized Linear Mixed Models. Results: 289 patients were eligible for analysis. Mean age was 68.4 years and 68.5% were male. Restrictions in Activities of Daily Living [OR 4.46 (2.04–9.78)] and Instrumental Activities of Daily Living [OR 4.33 (2.27–8.24)], impaired mobility on Timed Up and Go test [OR 3.95 (1.85–8.45)], cognitive decline [OR 4.85 (2.28–10.35)] and assisted living (OR 5.54 (2.63–11.67)] were significantly associated with non-response. Frailty screening, with Geriatric 8 and Groningen Frailty Indicator, was also associated with non-response [OR, respectively, 2.64 (1.51–4.59) and 2.52 (1.44–4.44)]. All findings remained significant when adjusted for other factors that were significantly associated with non-response, such as higher age, longer study duration and subsequent death. Conclusion: Frail HNC patients respond significantly worse to follow-up PROMs. The drop-out and underrepresentation of frail patients in studies may lead to attrition bias, and as a result underestimating the effect sizes of associations. This is of importance when handling and interpreting such data. [ABSTRACT FROM AUTHOR]

Objective: To investigate utilization of mental healthcare among head and neck cancer (HNC) patients from diagnosis to 2 years after treatment, in relation to psychological symptoms, mental disorders, need for mental healthcare, and sociodemographic, clinical and personal factors. Methods: Netherlands Quality of life and Biomedical Cohort study data as measured before treatment, at 3 and 6 months, and at 1 and 2 years after treatment was used (n = 610). Data on mental healthcare utilization (iMCQ), psychological symptoms (Hospital Anxiety and Depression Scale, Cancer Worry Scale), mental disorders (CIDI interview), need for mental healthcare (Supportive Care Needs Survey Short‐Form 34, either as continuous outcome indicating the level of need or dichotomized into unmet need (yes/no)) and several sociodemographic, clinical and personal factors were collected. Factors associated with mental healthcare utilization were investigated using generalized estimating equations (p < 0.05). Results: Of all HNC patients, 5%–9% used mental healthcare per timepoint. This was 4%–14% in patients with mild‐severe psychological symptoms, 4%–17% in patients with severe psychological symptoms, 15%–35% in patients with a mental disorder and 5%–16% in patients with an unmet need for mental healthcare. Among all patients, higher symptoms of anxiety, a higher need for mental healthcare, lower age, higher disease stage, lower self‐efficacy and higher social support seeking were significantly associated with mental healthcare utilization. Conclusion: Mental health care utilization among HNC patients is limited, and is related to psychological symptoms, need for mental healthcare, and sociodemographic, clinical and personal factors. [ABSTRACT FROM AUTHOR]

Simple Summary: Many head and neck cancer patients report sexual problems. A deterioration in sexuality and sexual dysfunction from baseline to 3 months after treatment was observed especially in patients treated with chemoradiation. This effect seems to differ between men and women. Men reported change in erectile function, orgasm, satisfaction with intercourse, and overall satisfaction, while women reported change in desire, arousal, and orgasm. These findings are helpful to improve information on sexuality and sexual care in head and neck cancer patients. The aim of this study was to investigate changes in sexuality and sexual dysfunction in head and neck cancer (HNC) patients in the first two years after treatment, in relation to the type of treatment. Data were used of 588 HNC patients participating in the prospective NETherlands Quality of life and Biomedical Cohort Study (NET-QUBIC) from diagnosis to 3, 6, 12 and 24 months after treatment. Primary outcome measures were the International Index of Erectile Function (IIEF) and the Female Sexual Function Index (FSFI). The total scores of the IIEF and FSFI were dichotomized into sexual (dys)function. In men, type of treatment was significantly associated with change in erectile function, orgasm, satisfaction with intercourse, and overall satisfaction. In women, type of treatment was significantly associated with change in desire, arousal, and orgasm. There were significant differences between treatment groups in change in dysfunctional sexuality. A deterioration in sexuality and sexual dysfunction from baseline to 3 months after treatment was observed especially in patients treated with chemoradiation. Changes in sexuality and sexual dysfunction in HNC patients were related to treatment, with an acute negative effect of chemoradiation. This effect on the various domains of sexuality seems to differ between men and women. [ABSTRACT FROM AUTHOR]

• Optimal timing of re-planning was suggested for a comprehensive set of OARs. • Generic re-planning timing was suggested considering different combinations of OARs. • D mean increase due to anatomical changes were most frequently > 3 Gy in Supraglottic. • The 3rd week is suggested as the optimal timing of re-planning for 10 OARs. • A maximum of 3 re-plannings can guarantee D mean increase below 3 Gy for all OARs. Adaptive radiotherapy (ART) relies on re-planning to correct treatment variations, but the optimal timing of re-planning to account for dose changes in head and neck organs at risk (OARs) is still under investigation. We aimed to find out the optimal timing of re-planning in head and neck ART. A total of 110 head and neck cancer patients were retrospectively enrolled. A semi auto-segmentation method was applied to obtain the weekly mean dose (D mean) to OARs. The K-nearest-neighbour method was used for missing data imputation of weekly D mean. A dose deviation map was built using the planning D mean and weekly D mean values and then used to simulate different ART scenarios consisting of 1 to 6 re-plannings. The difference between accumulated D mean and planning D mean before re-planning (ΔD mean_acc_noART) and after re-planning (ΔD mean_acc_ART) were evaluated and compared. Among all the OARs, supraglottic showed the largest ΔD mean_acc_noART (1.23 ± 3.13 Gy) and most cases of ΔD mean_acc_noART > 3 Gy (26 patients). The 3rd week is suggested in the optimal timing of re-planning for 10 OARs. For all the organs except arytenoid, 2 re-plannings were able to guarantee the ΔD mean_acc_ART below 3 Gy while the average |ΔD mean_acc_ART | was below 1 Gy. ART scenarios of 2_4, 3_4, 3_5 (week of re-planning separated with "_") were able to guarantee ΔD mean_acc_ART of 99 % of patients below 3 Gy simultaneously for 19 OARs. The optimal timing of re-planning was suggested for different organs at risk in head and neck adaptive radiotherapy. Generic scenarios of timing and frequency for re-planning can be applied to guarantee the increase of accumulated mean dose within 3 Gy simultaneously for multiple organs. [ABSTRACT FROM AUTHOR]

Objective: Head and neck squamous cell carcinomas (HNSCC) are rapidly developing tumours, and substantial delay in treatment initiation is associated with decreased overall survival. The effect of delay on health‐related quality of life (HRQOL) is unknown. The aim of this study was to assess the impact of delay on QOL and overall survival. Methods: Patients with mucosal HNSCC were prospectively included. HRQOL and 2‐year overall survival were analysed using linear mixed‐model analyses and cox regression, respectively. Delay was defined as care pathway interval (CPI) of ≥30 days between first consultation and treatment initiation. Results: Median CPI was 39 days for the 173 patients included. A trend towards higher HRQOL‐scores (indicating better HRQOL) during 2‐year follow‐up for patients with delay in treatment initiation was visible in the adjusted models (HRQOL summary score—β: 2.62, 95% CI: 0.57–4.67, p = 0.012). Factors associated with decreased overall survival were moderate comorbidities (HR: 5.10, 95% CI: 1.65–15.76, p = 0.005) and stage‐IV tumours (HR: 12.37, 95% CI: 2.81–54.39, p = 0.001). Delay was not associated with worse overall survival. Conclusion: Timely treatment initiation is challenging, especially for patients with advanced tumours and initial radiotherapy treatment. Encountering delay in treatment initiation did not result in clinically relevant differences in HRQOL‐scores or decreased overall survival during 2‐year follow‐up. [ABSTRACT FROM AUTHOR]

Background: To investigate associations between psychological problems and the use of healthcare and informal care and total costs among head and neck cancer (HNC) patients. Method: Data were used of the NETherlands QUality of Life and Biomedical Cohort study. Anxiety and depression disorder (diagnostic interview), distress, symptoms of anxiety and depression (HADS), and fear of cancer recurrence (FCR) and cancer worry scale (CWS) were measured at baseline and at 12-month follow-up. Care use and costs (questionnaire) were measured at baseline, 3-, 6-, 12-, and 24-month follow-up. Associations between psychological problems and care use/costs were investigated using logistic and multiple regression analyses. Results: Data of 558 patients were used. Distress, symptoms of anxiety or depression, FCR, and/or anxiety disorder at baseline were significantly associated with higher use of primary care, supportive care, and/or informal care (odds ratios (ORs) between 1.55 and 4.76). Symptoms of anxiety, FCR, and/or depression disorder at 12-month follow-up were significantly associated with use of primary care, supportive care, and/or informal care (ORs between 1.74 and 6.42). Distress, symptoms of anxiety, and FCR at baseline were associated with higher total costs. Discussion: HNC patients with psychological problems make more use of healthcare and informal care and have higher costs. This is not the result of worse clinical outcomes. [ABSTRACT FROM AUTHOR]

Background: This study assessed the course of fear of cancer recurrence (FCR) in patients newly diagnosed with head and neck cancer (HNC), identified FCR trajectories and factors associated with FCR trajectories. Methods: Six hundred and seventeen HNC patients from the NET‐QUBIC cohort study completed the Cancer Worry Scale‐6 at diagnosis, 3 and 6 months post‐treatment. FCR trajectories were identified using Latent Class Growth Analysis. Associations were explored between FCR trajectories and baseline demographic and medical variables, coping and self‐efficacy. Results: Overall, FCR decreased slightly between baseline and 3 months post‐treatment and remained stable up to 6 months. Two FCR trajectories were identified: "high stable" (n = 125) and "low declining" (n = 492). Patients with high stable FCR were younger, reported more negative adjustment, passive coping, and reassuring thoughts, and less avoidance. Conclusions: The majority of HNC patients have low declining FCR after diagnosis, but one in five patients experience persistent high FCR up to 6 months post‐treatment. [ABSTRACT FROM AUTHOR]

Purpose: A two-stage genome-wide association study was carried out in head and neck cancer (HNC) patients aiming to identify genetic variants associated with either specific radiotherapy-induced (RT) toxicity endpoints or a general proneness to develop toxicity after RT.Materials and Methods: The analysis included 1780 HNC patients treated with primary RT for laryngeal or oro/hypopharyngeal cancers. In a non-hypothesis-driven explorative discovery study, associations were tested in 1183 patients treated within The Danish Head and Neck Cancer Group. Significant associations were later tested in an independent Dutch cohort of 597 HNC patients and if replicated, summary data obtained from discovery and replication studies were meta-analysed. Further validation of significantly replicated findings was pursued in an Asian cohort of 235 HNC patients with nasopharynx as the primary tumour site.Results: We found and replicated a significant association between a locus on chromosome 5 and mucositis with a pooled OR for rs1131769*C in meta-analysis = 1.95 (95% CI 1.48-2.41; ppooled = 4.34 × 10-16).Conclusion: This first exploratory GWAS in European cohorts of HNC patients identified and replicated a risk locus for mucositis. A larger Meta-GWAS to identify further risk variants for RT-induced toxicity in HNC patients is warranted. [ABSTRACT FROM AUTHOR]

Background: Neurocognition and speech, relevant domains in head and neck cancer (HNC), may be affected pretreatment. However, the prevalence of pretreatment deficits and their possible concurrent predictors are poorly understood. Methods: Using an HNC prospective cohort (Netherlands Quality of Life and Biomedical Cohort Study, N ≥ 444) with a cross‐sectional design, we investigated the estimated prevalence of pretreatment deficits and their relationship with selected demographic, behavioral, and disease‐related factors. Results: Using objective assessments, rates of moderate‐to‐severe neurocognitive deficit ranged between 4% and 8%. From patient‐reported outcomes, 6.5% of patients reported high levels of cognitive failures and 46.1% reported speech deficits. Patient‐reported speech functioning was worse in larynx compared to other subsites. Other nonspeech outcomes were unrelated to any variable. Patient‐reported neurocognitive and speech functioning were modestly correlated, especially in the larynx group. Conclusions: These findings indicate that a subgroup of patients with HNC shows pretreatment deficits, possibly accentuated in the case of larynx tumors. [ABSTRACT FROM AUTHOR]

Background: Longitudinal observational cohort studies in cancer patients are important to move research and clinical practice forward. Continued study participation (study retention) is of importance to maintain the statistical power of research and facilitate representativeness of study findings. This study aimed to investigate study retention and attrition (drop-out) and its associated sociodemographic and clinical factors among head and neck cancer (HNC) patients and informal caregivers included in the Netherlands Quality of Life and Biomedical Cohort Study (NET-QUBIC).Methods: NET-QUBIC is a longitudinal cohort study among 739 HNC patients and 262 informal caregivers with collection of patient-reported outcome measures (PROMs), fieldwork data (interview, objective tests and medical examination) and biobank materials. Study retention and attrition was described from baseline (before treatment) up to 2-years follow-up (after treatment). Sociodemographic and clinical characteristics associated with retention in NET-QUBIC components at baseline (PROMs, fieldwork and biobank samples) and retention in general (participation in at least one component) were investigated using Chi-square, Fisher exact or independent t-tests (p< 0.05).Results: Study retention at 2-years follow-up was 80% among patients alive (66% among all patients) and 70% among caregivers of patients who were alive and participating (52% among all caregivers). Attrition was most often caused by mortality, and logistic, physical, or psychological-related reasons. Tumor stage I/II, better physical performance and better (lower) comorbidity score were associated with participation in the PROMs component among patients. No factors associated with participation in the fieldwork component (patients), overall sample collection (patients and caregivers) or PROMs component (caregivers) were identified. A better performance and comorbidity score (among patients) and higher age (among caregivers) were associated with study retention at 2-years follow-up.Conclusions: Retention rates were high at two years follow-up (i.e. 80% among HNC patients alive and 70% among informal caregivers with an active patient). Nevertheless, some selection was shown in terms of tumor stage, physical performance, comorbidity and age, which might limit representativeness of NET-QUBIC data and samples. To facilitate representativeness of study findings future cohort studies might benefit from oversampling specific subgroups, such as patients with poor clinical outcomes or higher comorbidity and younger caregivers. [ABSTRACT FROM AUTHOR]

Background: Most head and neck cancer (HNC) patients receive radiotherapy (RT) and develop toxicities. This genome-wide association study (GWAS) was designed to identify single nucleotide polymorphisms (SNPs) associated with common acute radiation-induced toxicities (RITs) in an HNC cohort.Methods: A two-stage GWAS was performed in 1279 HNC patients treated with RT and prospectively scored for mucositis, xerostomia, sticky saliva, and dysphagia. The area under the curve (AUC) was used to estimate the average load of toxicity during RT. At the discovery study, multivariate linear regression was used in 957 patients, and the top-ranking SNPs were tested in 322 independent replication cohort. Next, the discovery and the replication studies were meta-analyzed.Results: A region on 5q21.3 containing 16 SNPs showed genome-wide (GW) significance association at P-value < 5.0 × 10-8 with patient-rated acute xerostomia in the discovery study. The top signal was rs35542 with an adjusted effect size of 0.17*A (95% CI 0.12 to 0.23; P-value <  = 3.78 × 10-9). The genome wide significant SNPs were located within three genes (EFNA5, FBXL17, and FER). In-silico functional analysis showed these genes may be involved in DNA damage response and co-expressed in minor salivary glands. We found 428 suggestive SNPs (P-value < 1.0 × 10-5) for other toxicities, taken to the replication study. Eleven of them showed a nominal association (P-value < 0.05).Conclusions: This GWAS suggested novel SNPs for patient-rated acute xerostomia in HNC patients. If validated, these SNPs and their related functional pathways could lead to a predictive assay to identify sensitive patients to radiation, which may eventually allow a more individualized RT treatment. [ABSTRACT FROM AUTHOR]

Cancers of the head and neck region often present with nodal involvement. There is a long‐standing convention within the community of head and neck radiation oncology to irradiate both sides of the neck electively in almost all cases to include both macroscopic and microscopic disease extension (so called elective nodal volume). International guidelines for the selection and delineation of the elective lymph nodes were published in the early 2000s and were updated recently. However, diagnostic imaging techniques have improved the accuracy and reliability of nodal staging and as a result, small metastases that used to remain undetected and were thus in the past included in the elective nodal volume, will now be included in high‐dose volumes. Furthermore, the elective nodal areas are situated close to the parotid glands, the submandibular glands and the swallowing muscles. Therefore, irradiation of a smaller, more selected volume of the elective nodes could reduce treatment‐related toxicity. Several researchers consider the current bilateral elective neck irradiation strategies an overtreatment and show growing interest in a unilateral nodal irradiation in selected patients. The aim of this article is to give an overview of the current evidence about the indications and benefits of unilateral nodal irradiation and the use of SPECT/CT‐guided nodal irradiation in squamous cell carcinomas of the head and neck. [ABSTRACT FROM AUTHOR]

Purpose: Cone‐beam CT (CBCT)‐based synthetic CTs (sCT) produced with a deep convolutional neural network (DCNN) show high image quality, suggesting their potential usability in adaptive proton therapy workflows. However, the nature of such workflows involving DCNNs prevents the user from having direct control over their output. Therefore, quality control (QC) tools that monitor the sCTs and detect failures or outliers in the generated images are needed. This work evaluates the potential of using a range‐probing (RP)‐based QC tool to verify sCTs generated by a DCNN. Such a RP QC tool experimentally assesses the CT number accuracy in sCTs. Methods: A RP QC dataset consisting of repeat CTs (rCT), CBCTs, and RP acquisitions of seven head and neck cancer patients was retrospectively assessed. CBCT‐based sCTs were generated using a DCNN. The CT number accuracy in the sCTs was evaluated by computing relative range errors between measured RP fields and RP field simulations based on rCT and sCT images. Results: Mean relative range errors showed agreement between measured and simulated RP fields, ranging from −1.2% to 1.5% in rCTs, and from −0.7% to 2.7% in sCTs. Conclusions: The agreement between measured and simulated RP fields suggests the suitability of sCTs for proton dose calculations. This outcome brings sCTs generated by DCNNs closer toward clinical implementation within adaptive proton therapy treatment workflows. The proposed RP QC tool allows for CT number accuracy assessment in sCTs and can provide means of in vivo range verification. [ABSTRACT FROM AUTHOR]

Purpose: The capability of proton therapy to provide highly conformal dose distributions is impaired by range uncertainties. The aim of this work is to apply range probing (RP), a form of a proton radiography‐based quality control (QC) procedure for range accuracy assessment in head and neck cancer (HNC) patients in a clinical setting. Methods and Materials: This study included seven HNC patients. RP acquisition was performed using a multi‐layer ionization chamber (MLIC). Per patient, two RP frames were acquired within the first two weeks of treatment, on days when a repeated CT scan was obtained. Per RP frame, integral depth dose (IDD) curves of 81 spots around the treatment isocenter were acquired. Range errors are determined as a discrepancy between calculated IDDs in the treatment planning system and measured residual ranges by the MLIC. Range errors are presented relative to the water equivalent path length of individual proton spots. In addition to reporting results for complete measurement frames, an analysis, excluding range error contributions due to anatomical changes, is presented. Results: Discrepancies between measured and calculated ranges are smaller when performing RP calculations on the day‐specific patient anatomy rather than the planning CT. The patient‐specific range evaluation shows an agreement between calculated and measured ranges for spots in anatomically consistent areas within 3% (1.5 standard deviation). Conclusions: The results of an RP‐based QC procedure implemented in the clinical practice for HNC patients have been demonstrated. The agreement of measured and simulated proton ranges confirms the 3% uncertainty margin for robust optimization. Anatomical variations show a predominant effect on range accuracy, motivating efforts towards the implementation of adaptive radiotherapy. [ABSTRACT FROM AUTHOR]

Background: Head and neck cancer (HNC) patients often suffer from distress attributed to their cancer diagnosis which may disturb their sleep. However, there is lack of research about poor sleep quality among newly diagnosed HNC patients. Therefore, our aim was to investigate the prevalence and the associated factors of poor sleep quality among HNC patients before starting treatment.Materials and Methods: A cross-sectional study was conducted using the baseline data from NET-QUBIC study, an ongoing multi-center cohort of HNC patients in the Netherlands. Poor sleep quality was defined as a Pittsburgh Sleep Quality Index (PSQI) total score of > 5. Risk factors examined were sociodemographic factors (age, sex, education level, living situation), clinical characteristics (HNC subsite, tumor stage, comorbidity, performance status), lifestyle factors, coping styles, and HNC symptoms.Results: Among 560 HNC patients, 246 (44%) had poor sleep quality before start of treatment. Several factors were found to be significantly associated with poor sleep: younger age (odds ratio [OR] for each additional year 0.98, 95% CI 0.96-1.00), being female (OR 2.6, 95% CI 1.7-4.1), higher passive coping style (OR 1.18, 95% CI 1.09-1.28), more oral pain (OR 1.10, 95% CI 1.01-1.19), and less sexual interest and enjoyment (OR 1.13, 95% CI 1.06-1.20).Conclusion: Poor sleep quality is highly prevalent among HNC patients before start of treatment. Early evaluation and tailored intervention to improve sleep quality are necessary to prepare these patients for HNC treatment and its consequences. [ABSTRACT FROM AUTHOR]

This study evaluates the suitability of convolutional neural networks (CNNs) to automatically process proton radiography (PR)-based images. CNNs are used to classify PR images impaired by several sources of error affecting the proton range, more precisely setup and calibration curve errors. PR simulations were performed in 40 head and neck cancer patients, at three different anatomical locations (fields A, B and C, centered for head and neck, neck and base of skull coverage). Field sizes were 26 × 26cm2 for field A and 4.5 × 4.5cm2 for fields B and C. Range shift maps were obtained by comparing an unperturbed reference PR against a PR where one or more sources of error affected the proton range. CT calibration curve errors in soft, bone and fat tissues and setup errors in the anterior–posterior and inferior–superior directions were simulated individually and in combination. A CNN was trained for each type of PR field, leading to three CNNs trained with a mixture of range shift maps arising from one or more sources of range error. To test the full/partial/wrong agreement between predicted and actual sources of range error in the range shift maps, exact, partial and wrong match percentages were computed for an independent test dataset containing range shift maps arising from isolated or combined errors, retrospectively. The CNN corresponding to field A showed superior capability to detect isolated and combined errors, with exact matches of 92% and 71% respectively. Field B showed exact matches of 80% and 54%, and field C resulted in exact matches of 77% and 41%. The suitability of CNNs to classify PR-based images containing different sources of error affecting the proton range was demonstrated. This procedure enables the detection of setup and calibration curve errors when they appear individually or in combination, providing valuable information for the interpretation of PR images. [ABSTRACT FROM AUTHOR]

• Radiomic features improve individual lymph node failure prediction. • Clinical parameters, together with radiomic features showed the best performance in predicting nodal failure risk. • Individual nodal failure prediction could lead to treatment individualization in HNC patients. To develop and validate a pre-treatment radiomics-based prediction model to identify pathological lymph nodes (pLNs) at risk of failures after definitive radiotherapy in head and neck squamous cell carcinoma patients. Training and validation cohorts consisted of 165 patients with 558 pLNs and 112 patients with 467 pLNs, respectively. All patients were primarily treated with definitive radiotherapy, with or without systemic treatment. The endpoint was the cumulative incidence of nodal failure. For each pLN, 82 pre-treatment CT radiomic features and 7 clinical features were included in the Cox proportional-hazard analysis. There were 68 and 23 nodal failures in the training and validation cohorts, respectively. Multivariable analysis revealed three clinical features (T-stage, gender and WHO Performance-status) and two radiomic features (Least-axis-length representing nodal size and gray level co-occurrence matrix based - Correlation representing nodal heterogeneity) as independent prognostic factors. The model showed good discrimination with a c-index of 0.80 (0.69–0.91) in the validation cohort, significantly better than models based on clinical features (p < 0.001) or radiomics (p = 0.003) alone. High- and low-risk groups were defined by using thresholds of estimated nodal failure risks at 2-year of 60% and 10%, resulting in positive and negative predictive values of 94.4% and 98.7%, respectively. A pre-treatment prediction model was developed and validated, integrating the quantitative radiomic features of individual lymph nodes with generally used clinical features. Using this prediction model, lymph nodes with a high failure risk can be identified prior to treatment, which might be used to select patients for intensified treatment strategies targeted on individual lymph nodes. [ABSTRACT FROM AUTHOR]

Background: Patients with head and neck cancer (HNC) are vulnerable to fear of cancer recurrence (FCR) and psychiatric morbidity. We investigated the prevalence of high FCR and demographic, clinical, psychological, and psychiatric factors associated with high FCR prior to the start of the treatment. Methods: In a cross‐sectional substudy of the large ongoing prospective NET‐QUBIC study questionnaires and psychiatric interviews of 216 patients newly diagnosed with HNC were analyzed. Results: High FCR was observed in 52.8% of patients and among those 21.1% also had a lifetime history of selected anxiety or major depressive disorder. FCR was not related to any clinical characteristics; however, younger age, higher anxiety symptoms, introversion, greater needs for support regarding sexuality, and being an exsmoker were significantly associated with higher FCR. Conclusion: Factors associated with high FCR provide us with a better conceptual understanding of FCR in patients newly diagnosed with HNC. [ABSTRACT FROM AUTHOR]

Objectives: The aim of this study was to investigate whether quantitative CT image-biomarkers (IBMs) can improve the prediction models with only classical prognostic factors for local-control (LC), regional-control (RC), distant metastasis-free survival (DMFS) and disease-free survival (DFS) for head and neck cancer (HNC) patients.Materials and Methods: The cohort included 240 and 204 HNC patients in the training and validation analysis, respectively. Clinical variables were scored prospectively and IBMs of the primary tumor and lymph nodes were extracted from planning CT-images. Clinical, IBM and combined models were created from multivariable Cox proportional-hazard analyses based on clinical features, IBMs, and both for LC, RC, DMFS and DFS.Results: Clinical variables identified in the multivariable analysis included tumor-site, WHO performance-score, tumor-stage and age. Bounding-box-volume describing the tumor volume and irregular shape, IBM correlation representing radiological heterogeneity, and LN_major-axis-length showing the distance between lymph nodes were included in the IBM models. The performance of IBM LC, RC, DMFS and DFS models (c-index(validated):0.62, 0.80, 0.68 and 0.65) were comparable to that of the clinical models (0.62, 0.76, 0.70 and 0.66). The combined DFS model (0.70) including clinical features and IBMs performed significantly better than the clinical model. Patients stratified with the combined models revealed larger differences between risk groups in the validation cohort than with clinical models for LC, RC and DFS. For DMFS, the differences were similar to the clinical model.Conclusion: For prediction of HNC treatment outcomes, image-biomarkers performed as good as or slightly better than clinical variables. [ABSTRACT FROM AUTHOR]

• Head & neck cancer patients can be selected for ART in the first treatment week. • Mean dose change to OARs in week 1 and 2 is predictive for overall BIOΔNTCP. • Comprehensive evaluation of planned vs. actual NTCP in 110 patients. • The proposed strategy could classify all true candidates regarding late toxicity. • The strategy could correctly spare 88.2% patients from ART regarding late toxicity. Adaptive radiotherapy (ART) is workload intensive but only benefits a subgroup of patients. We aimed to develop an efficient strategy to select candidates for ART in the first two weeks of head and neck cancer (HNC) radiotherapy. This study retrospectively enrolled 110 HNC patients who underwent modern photon radiotherapy with at least 5 weekly in-treatment re-scan CTs. A semi auto-segmentation method was applied to obtain the weekly mean dose (D mean) to OARs. A comprehensive NTCP-profile was applied to obtain NTCP's. The difference between planning and actual values of D mean (ΔD mean) and dichotomized difference of clinical relevance (BIOΔNTCP) were used for modelling to determine the cut-off maximum ΔD mean of OARs in week 1 and 2 (maxΔD mean_1 and maxΔD mean_2). Four strategies to select candidates for ART, using cut-off maxΔD mean were compared. The Spearman's rank correlation test showed significant positive correlation between maxΔD mean and BIOΔNTCP (p -value <0.001). For major BIOΔNTCP (>5%) of acute and late toxicity, 10.9% and 4.5% of the patients were true candidates for ART. Strategy C using both cut-off maxΔD mean_1 (3.01 and 5.14 Gy) and cut-off maxΔD mean_2 (3.41 and 5.30 Gy) showed the best sensitivity, specificity, positive and negative predictive values (0.92, 0.82, 0.38, 0.99 for acute toxicity and 1.00, 0.92, 0.38, 1.00 for late toxicity, respectively). We propose an efficient selection strategy for ART that is able to classify the subgroup of patients with >5% BIOΔNTCP for late toxicity using imaging in the first two treatment weeks. [ABSTRACT FROM AUTHOR]

Background: Trismus occurs frequently in patients with head and neck cancer. Determining the prevalence and associated factors of trismus would enable prediction of the risk of trismus for future patients. Methods: Based on maximal mouth opening measurements, we determined the prevalence of trismus in 730 patients with head and neck cancer. Associated factors for trismus were analyzed using univariate analyses and multivariate logistic regression analyses. Based on the regression model, a calculation tool to predict trismus was made. Results: Prevalence of trismus was 23.6%. Factors associated with trismus were: advanced age; partial or full dentition; tumors located at the maxilla; mandible; cheek; major salivary glands; oropharynx; an unknown primary; a free soft tissue transfer after surgery; reirradiation; and chemotherapy. Conclusion: About one‐fourth of patients with head and neck cancer develop trismus. Based on prevalence and associated factors of trismus, a simple calculation tool predicts the risk of trismus in these patients. [ABSTRACT FROM AUTHOR]

The objective of this study is to assess swallowing and speech outcome after chemoradiation therapy for head and neck cancer, based on the patient-reported outcome measures Swallowing Quality of Life Questionnaire (SWAL-QOL) and Speech Handicap Index (SHI), both provided with cut-off scores. This is a cross-sectional study. Department of Otolaryngology/Head and Neck Surgery of a University Medical Center. Sixty patients, 6 months to 5 years after chemoradiation for head and neck squamous cell carcinoma. Swallowing Quality of Life Questionnaire (SWAL-QOL) and SHI, both validated in Dutch and provided with cut-off scores. Associations were tested between the outcome measures and independent variables (age, gender, tumor stage and site, and radiotherapy technique, time since treatment, comorbidity and food intake). Fifty-two patients returned the SWAL-QOL and 47 the SHI (response rate 87 and 78 %, respectively). Swallowing and speech problems were present in 79 and 55 %, respectively. Normal food intake was noticed in 45, 35 % had a soft diet and 20 % tube feeding. Patients with soft diet and tube feeding reported more swallowing problems compared to patients with normal oral intake. Tumor subsite was significantly associated with swallowing outcome (less problems in larynx/hypopharynx compared to oral/oropharynx). Radiation technique was significantly associated with psychosocial speech problems (less problems in patients treated with IMRT). Swallowing and (to a lesser extent) speech problems in daily life are frequently present after chemoradiation therapy for head and neck cancer. Future prospective studies will give more insight into the course of speech and swallowing problems after chemoradiation and into efficacy of new radiation techniques and swallowing and speech rehabilitation programs. [ABSTRACT FROM AUTHOR]

Background The impact of primary tumor volume (pTV) on local control after definitive radiotherapy (RT) for head and neck squamous cell carcinoma (HNSCC) is unclear. Methods Pertinent literature was reviewed to address the impact of pTV on local control after definitive RT for HNSCC. Results Reproducibility of pTV calculations is probably influenced by interobserver variability and may be reduced by relying on experienced observers. The impact of pTV on local control after definitive RT is probably influenced by primary site. A relatively limited impact of pTV on local control after RT for oropharyngeal squamous cell carcinomas (SCCs) might be attributable to human papillomavirus (HPV) positivity. Conclusion pTV may be a useful parameter to select patients for treatment with definitive RT, particularly for those with laryngeal SCCs. Patients with high-volume primary cancers, in which the probability of local control with a functional larynx is low, are likely better treated with surgery. © 2013 Wiley Periodicals, Inc. Head Neck 36: 1363-1367, 2013 [ABSTRACT FROM AUTHOR]

Background The objective of this study was to identify relevant quality of life (QOL) issues in patients with head and neck cancer receiving multimodal and/or targeted therapies. Methods The literature was searched for QOL issues reported after multimodal and/or targeted therapies resulting in a list of potentially relevant issues. These were discussed within a multiprofessional expert group, revised, and subsequently rated for relevance by patients and health care providers. Results Twenty-seven issues were extracted that are not covered by the current version of the European Organization for Research and Treatment of Cancer (EORTC) questionnaires. Interviews (96 health care providers from 13 countries, 137 patients from 8 countries) revealed that 26 of these issues were relevant for patients with head and neck cancer. Conclusions Studies investigating targeted and/or multimodal therapy should consider that some QOL issues specific to these treatments are not covered by the current version of the EORTC instruments. Consequently, the EORTC head and neck cancer module is currently in revision. © 2012 Wiley Periodicals, Inc. Head Neck, 2013 [ABSTRACT FROM AUTHOR]

Post-therapy follow-up for patients with head and neck cancer other than upper aerodigestive tract squamous cell carcinoma should meet several objectives: to detect both local, regional or distant recurrences, to evaluate acute and long-term treatment-related side effects, to guide the rehabilitation process, and to provide psychosocial support when needed. To our knowledge, there are no published reports in the literature dedicated to the follow-up of patients with these tumours. A comprehensive literature search for post-treatment follow-up strategies spanning from 1980 to 2012 was performed on several databases. This review focuses on malignant salivary gland tumors, soft tissue sarcomas, cutaneous squamous cell carcinomas, and sinonasal adenocarcinomas. Given the varying biological behavior and treatment-related factors and based on the literature, different recommendations are made on the follow-up of patients with the above-mentioned tumors. [ABSTRACT FROM AUTHOR]

Although uncommon, cancer of an unknown primary (CUP) metastatic to cervical lymph nodes poses a range of dilemmas relating to optimal treatment. The ideal resolution would be a properly designed prospective randomized trial, but it is unlikely that this will ever be conducted in this group of patients. Accordingly, knowledge gained from retrospective studies and experience from treating patients with known head and neck primary tumors form the basis of therapeutic strategies in CUP. This review provides a critical appraisal of various treatment approaches described in the literature. Emerging treatment options for CUP with metastases to cervical lymph nodes are discussed in view of recent innovations in the field of head and neck oncology and suitable therapeutic strategies for particular clinical scenarios are presented. For pN1 or cN1 disease without extracapsular extension (ECE), selective neck dissection or radiotherapy offer high rates of regional control. For more advanced neck disease, intensive combined treatment is required, either a combination of neck dissection and radiotherapy, or initial (chemo)radiotherapy followed by neck dissection if a complete response is not recorded on imaging. Each of these approaches seems to be equally effective. Use of extensive bilateral neck/mucosal irradiation must be weighed against toxicity, availability of close follow-up with elective neck imaging and guided fine-needle aspiration biopsy (FNAB) when appropriate, the human papillomavirus (HPV) status of the tumor, and particularly against the distribution pattern (oropharynx in the majority of cases) and the emergence rate of hidden primary lesions (<10% after comprehensive workup). The addition of systemic agents is expected to yield similar improvement in outcome as has been observed for known head and neck primary tumors. Head Neck, 2013 [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study is to evaluate computerized monitoring of speech and swallowing outcomes and its impact on quality of life (QoL) and emotional well-being in head and neck cancer patients in an outpatient clinic. Methods: Sixty-seven patients, treated by single or multimodality treatment, completed the EORTC QLQ-C30 and QLQ-H&N35 questionnaires and the Hospital Anxiety and Depression Scale in an outpatient clinic, using a touch screen computer system (OncoQuest), at baseline (at time of diagnosis) and first follow-up (1 month after end of treatment). Results: Tumor sites included oral cavity ( n = 12), oropharynx ( n = 18), hypopharynx ( n = 8), and larynx ( n = 29). Tumor stage included carcinoma in situ ( n = 3), stage I ( n = 21), stage II ( n = 7), stage III ( n = 15), and IV ( n = 21). No speech or swallowing problems at baseline or follow-up were noted in 23 % (speech) and 41 % (swallowing) of patients. Twenty-one percent (speech) and 19 % (swallowing) had problems at baseline and returned to normal scores at follow-up, while 16 % (speech) and 19 % (swallowing) had normal scores at baseline and developed problems at follow-up. Forty percent (speech) and 21 % (swallowing) had persistent problems from baseline to follow-up. At baseline, speech problems were significantly related to tumor site and emotional distress. At baseline and follow-up, swallowing problems were significantly related to QoL and emotional distress. At follow-up, speech problems were significantly related to QoL, emotional distress, and swallowing problems. Conclusions: Monitoring speech and swallowing problems through OncoQuest in an outpatient clinic is feasible. Many patients report speech and swallowing problems, negatively affecting their QoL and emotional well-being. [ABSTRACT FROM AUTHOR]

Up-front surgery and postoperative radiotherapy constitute a well-recognized treatment concept for locally or regionally advanced squamous cell carcinoma of the head and neck. This 'treatment package' is further intensified with the concomitant application of chemotherapy during irradiation when high-risk features (ie, microscopically involved resection margins, extracapsular extension of the tumor from neck nodes, the presence of soft tissue deposits) are found on histopathologic examination of a resected specimen. With regard to neck disease, however, the demarcation line between low- and higher-risk clinical situations, which would differ with respect to the need for postoperative radiotherapy, is not clear. In an attempt to define the low-risk characteristics of disease in the neck that do not require adjuvant irradiation, we reviewed the available literature reports for any direct or indirect evidence on the value of postoperative radiotherapy in various clinical scenarios. The number of positive lymph nodes found in a dissected tissue specimen that should be used as a 'cut-off' point for introduction of postoperative radiotherapy was evaluated in the context of both primary tumor characteristics and type of neck dissection. © 2010 Wiley Periodicals, Inc. Head Neck, 2012 [ABSTRACT FROM AUTHOR]

Summary: This review discusses the role of adjuvant treatment after curative surgery for patients with head and neck squamous cell carcinoma (HNSCC). In general, patients with unfavourable prognostic factors have a high-risk of loco-regional recurrence and subsequent worse survival after surgery alone and are therefore considered proper candidates for adjuvant treatment by either postoperative radiotherapy alone or postoperative chemoradiation. Selection of the most optimal adjuvant treatment strategy should be based on the most important prognostic factors. In this review, the different treatment strategies will be discussed in general. More specifically, we will discuss the role of the interval between surgery and radiotherapy, the overall treatment time of radiation, the selection of target volumes for radiation and the value of adding concomitant chemotherapy to postoperative radiation. [Copyright &y& Elsevier]

Background: Several clinical trials have proved that concurrent chemoradiotherapy is more efficacious than radiotherapy alone among high-risk patients with head and neck squamous cell carcinoma (HNSCC) who undergo surgery. A risk-group classification defined according to a recursive partitioning analysis (RPA) for these patients has been recently proposed. The objective of the present study was to carry out an external validation of this RPA-derived classification system. Methods: A retrospective study of 442 HNSCC patients treated with surgery and postoperative radiotherapy was conducted. The external validity of the RPA-derived classification system was assessed, and its ability to stage patients and to predict locoregional control of the disease was compared with the TNM system. Results: The RPA-derived classification system succeeded in obtaining a monotonic prognosis gradient in locoregional control of the disease with increasing stage, and achieved greater differences in survival between stages than the TNM and pTNM classifications. Besides, the RPA method had a better homogeneity of the categories included in each stage, and in the heterogeneity between stages. Conclusions: The RPA-derived classification system allowed for the clear definition of prognostic groups in surgically treated HNSCC patients, improving the prognostic capacity of the TNM and pTNM classifications. The RPA-derived classification system is a useful tool in the definition of patients who, given a poor prognosis, should be considered candidates to adjuvant chemoradiotherapy. © 2007 Wiley Periodicals, Inc. Head Neck, 2007 [ABSTRACT FROM AUTHOR]

Abstract: Purpose: To evaluate retrospectively the prognostic significance of lymph node parameters assessed on pretreatment magnetic resonance (MR) images for development of distant metastases in patients with head and neck squamous cell carcinomas. Materials and methods: Pretreatment MR images of 311 patients were retrospectively reviewed for the presence of lymph nodes at specific neck node levels as well as the size and the presence of a number of lymph node characteristics including extranodal spread, central necrosis and number and volume of ipsi- and contralateral nodes. Of these patients, 174 (56%) had MRI-positive nodes (defined as nodes with minimum axial diameter >8 and >4mm for paratracheal level and retropharyngeal nodes). Results: The 2-year distant-metastasis free survival rate (DMFSR) for patients without MRI-positive nodes was 94% compared to 75% for those patients with MRI-positive nodes. In patients with MRI-positive nodes, results of multivariate analysis with the Cox regression model yielded statistical significance for presence of extranodal spread (ENS), detected on MRI, as the only independent prognostic factor associated with the 2-year DMFSR (p =0.002). Based on the analysis, three risk groups regarding the DMFSR could be identified. Low-risk group (DMFSR:94%) consisted of patients without MRI-positive nodes. Intermediate-risk group (DMFSR:81%) consisted of patients with MRI-positive nodes without ENS. High-risk group (DMFSR:59%) consisted of patients with MRI-positive nodes and ENS as shown on MRI (p <0.0001). Statistical separation for different tumor locations showed MRI-determined ENS (larynx: p =0.05; oropharynx: p =0.04; oral cavity: p <0.001), lowjugular/posterior triangle nodes (oropharynx: p =0.02), paratracheal nodes (larynx: p =0.03), and contralateral node volume >5cm3 (larynx: p =0.03; oral cavity: p =0.02) to be significant predictors with regard to DMFSR. Conclusion: Especially patients with on MRI demonstrating extranodal spread and with suspicious nodes at lowjugular/posterior triangle (oropharyngeal cancer) or paratracheal level (laryngeal cancer), or with contralateral enlarged nodes (laryngeal and oral cavity cancer) are at high risk for developing distant metastases and this subset of patients might benefit from supplementary imaging screening (CT-chest, PET-scan). [Copyright &y& Elsevier]

Despite improvements to treatment, patients with head and neck cancer (HNC) still experience radiation-induced xerostomia due to salivary gland damage. The stem cells of the parotid gland (PG), concentrated in the gland's main ducts (stem cell rich [SCR] region), play a critical role in the PG's response to radiation. Treatment optimization requires a dose metric that properly accounts for the relative contributions of dose to this SCR region and the PG's remainder (non-SCR region) to the risk of xerostomia in normal tissue complication probability (NTCP) models for xerostomia. Treatment and toxicity data of 1013 prospectively followed patients with HNC treated with definitive radiation therapy (RT) were used. The regeneration-weighted dose, enabling accounting for the hypothesized different effects of dose to the SCR and non-SCR region on the risk of xerostomia, was defined as D reg PG = D mean SCR region + r × D mean non-SCR region, where D reg is the regeneration-weighted dose, D mean is the mean dose, and r is the weighting factor. Considering the different volumes of these regions, r > 3.6 in D reg PG demonstrates an enhanced effect of the SCR region. The most predictive value of r was estimated in 102 patients of a previously published trial testing stem cell sparing RT. For each endpoint, D reg PG, dose to other organs, and clinical factors were used to develop NTCP models using multivariable logistic regression analysis in 663 patients. The models were validated in 350 patients. Dose to the contralateral PG was associated with daytime, eating-related, and physician-rated grade ≥2 xerostomia. Consequently, r was estimated and found to be smaller than 3.6 for most PG function–related endpoints. Therefore, the contribution of D mean SCR region to the risk of xerostomia was larger than predicted by D mean PG. Other frequently selected predictors were pretreatment xerostomia and D mean oral cavity. The validation showed good discrimination and calibration. Tools for clinical implementation of stem cell sparing RT were developed: regeneration-weighted dose to the parotid gland that accounted for regional differences in radiosensitivity within the gland and NTCP models that included this new dose metric and other prognostic factors. [ABSTRACT FROM AUTHOR]

Abstract Background Tube feeding dependence is a commonly observed debilitating side-effect of curative (chemo-) radiation in head and neck cancer patients that severely affects quality of life. Prevention of this side-effect can be obtained using advanced radiation techniques, such as IMRT. For radiotherapy treatment plan optimization, it has become increasingly important to develop prediction models that enable clinicians to predict the risk of tube feeding dependence for individual patients. To develop such a tool, information regarding the most relevant prognostic factors for tube feeding dependence is necessary. Objectives The primary aim of this systematic review, conducted according to PRISMA guidelines, was to identify prognostic factors that are consistently found to be associated with tube feeding dependence at ≥6 months after treatment. The secondary aim was to identify prognostic factors found to be associated with tube feeding placement and use at <6 months. Data sources Articles were identified through a search in MEDLINE, EMBASE and the Cochrane Library. Approximately 2600 articles were screened and selected by inclusion and exclusion criteria. Results Fourteen retrospective studies were identified that fulfilled the inclusion criteria and reported on prognostic factors for tube feeding dependence at ≥6 months. The studies reported on patient and disease variables, treatment variables and DVH parameters. Two of these studies reported on a model for tube feeding dependence, one including DVH parameters. Additionally, 18 studies were identified that reported on prognostic factors for tube feeding placement and use at <6 months. Conclusions Prognostic factors that were consistently associated with the risk of tube feeding dependence at ≥6 months for head and neck cancer patients treated with (chemo-) radiotherapy were DVH parameters, including dose to the larynx, the pharyngeal constrictor muscle inferior and superior, and the dose to the contralateral parotid gland. Furthermore, advanced tumor and nodal stage, pretreatment weight loss, (concomitant) chemotherapy and prophylactic gastrostomy policy were prognostic for tube feeding dependence ≥6 months. For tube feeding use at less than 6 months, prognostic DVH parameters included dose and volume to the oral mucosa, dose to the contralateral submandibular gland, and also dose to the larynx and the pharyngeal constrictor muscle inferior and superior. Prognostic patients/disease and treatment factors for tube feeding placement and use at less than 6 months were similar to the prognostic factors for tube feeding dependence at ≥6 months, but also included several unique variables such as the use of narcotics prior to treatment and living alone at the time of treatment. [ABSTRACT FROM AUTHOR]

Personalised radiotherapy can improve treatment outcomes of patients with head and neck cancer (HNC), where currently a 'one-dose-fits-all' approach is the standard. The aim was to establish individualised outcome prediction based on multi-institutional international 'big-data' to facilitate risk-based stratification of patients with HNC. The data of 4611 HNC radiotherapy patients from three academic cancer centres were split into four cohorts: a training (n = 2241), independent test (n = 786), and external validation cohorts 1 (n = 1087) and 2 (n = 497). Tumour- and patient-related clinical variables were considered in a machine learning pipeline to predict overall survival (primary end-point) and local and regional tumour control (secondary end-points); serially, imaging features were considered for optional model improvement. Finally, patients were stratified into high-, intermediate-, and low-risk groups. Performance score, AJCC 8th stage, pack-years, and Age were identified as predictors for overall survival, demonstrating good performance in both the training cohort (c-index = 0.72 [95% CI, 0.66–0.77]) and in all three validation cohorts (c-indices: 0.76 [0.69–0.83], 0.73 [0.68–0.77], and 0.75 [0.68–0.80]). Excellent stratification of patients with HNC into high, intermediate, and low mortality risk was achieved; with 5-year overall survival rates of 17–46% for the high-risk group compared to 92–98% for the low-risk group. The addition of morphological image feature further improved the performance (c-index = 0.73 [0.64–0.81]). These models are integrated in a clinic-ready interactive web interface: https://uic-evl.github.io/hnc-predictor/ Robust model-based prediction was able to stratify patients with HNC in distinct high, intermediate, and low mortality risk groups. This can effectively be capitalised for personalised radiotherapy, e.g., for tumour radiation dose escalation/de-escalation. • 'Big data' prediction models give distinct HNC treatment failure risk stratification. • Multi-factorial prediction outperforms risk estimation based on AJCC staging alone. • These models are now integrated in a clinic-ready decision support tool. • Risk-based patient selection can facilitate personalised radiotherapy strategies. [ABSTRACT FROM AUTHOR]

• Older patients may experience delayed treatment and adverse events due to frailty. • Treatment delay can result in tumor progression and inferior outcome. • Delay was a significant predictor for recurrence in surgically treated patients. • Delayed treatment initiation was not associated with short-term adverse events. As a result of rapid tumor growth in head and neck squamous cell carcinoma (HNSCC), delay in treatment initiation can result in tumor progression and inferior outcome. Especially older and frail patients are prone to develop adverse events. The aim of this study was to assess the effect of delay on development of adverse events and recurrence in older HNSCC patients. This cohort study with prospectively collected data included all newly diagnosed, curatively treated HNSCC patients (≥60 years) between 2015 and 2017. Time-to-treatment interval and geriatric domains were assessed. Adverse events were defined as postoperative complications (Clavien-Dindo classification) and acute radiation-induced toxicity (Common Terminology Criteria of Adverse Events). Multivariable regression models were performed, using adverse events and recurrence as outcome variables. A total of 245 patients were included. Median time-to-treatment was 26 days for surgery patients and 40 days for radiotherapy patients (p < 0.001). Delayed treatment initiation was not associated with postoperative complications or acute radiation-induced toxicity. Delay was significantly associated with recurrence risk within two years after treatment initiation in a model adjusted for stage and tumor location in patients treated with initial surgery (HR:4.1, 95%CI:1.2–14.0, p = 0.024). For patients treated with radiotherapy, delay was not significantly associated with recurrence risk. Delayed treatment initiation was independently associated with increased recurrence risk in patients treated with initial surgery. Delay was not associated with short-term adverse events. These findings highlight the importance of establishing fast-track care pathways to minimize delays and improve especially long-term outcome. [ABSTRACT FROM AUTHOR]

• PET biomarkers of salivary glands are predictive for xerostomia. • Most predictive PET biomarkers are 90th percentile and total energy. • PET biomarkers improve xerostomia prediction based on dose and baseline xerostomia. • Lower SUV in parotid and submandibular glands are a risk factors for late xerostomia. Recently, a comprehensive xerostomia prediction model was published, based on baseline xerostomia, mean dose to parotid glands (PG) and submandibular glands (SMG). Previously, PET imaging biomarkers (IBMs) of PG were shown to improve xerostomia prediction. Therefore, this study aimed to explore the potential improvement of the additional PET-IBMs from both PG and SMG to the recent comprehensive xerostomia prediction model (i.e., the reference model). Totally, 540 head and neck cancer patients were split into training and validation cohorts. PET-IBMs from the PG and SMG, were selected using bootstrapped forward selection based on the reference model. The IBMs from both the PG and SMG with the highest selection frequency were added to the reference model, resulting in a PG-IBM model and a SMG-IBM model which were combined into a composite model. Model performance was assessed using the area under the curve (AUC). Likelihood ratio test compared the predictive performance between the reference model and models including IBMs. The final selected PET-IBMs were 90th percentile of the PG SUV and total energy of the SMG SUV. The additional two PET-IBMs in the composite model improved the predictive performance of the reference model significantly. The AUC of the reference model and the composite model were 0.67 and 0.69 in the training cohort, and 0.71 and 0.73 in the validation cohort, respectively. The composite model including two additional PET-IBMs from PG and SMG improved the predictive performance of the reference xerostomia model significantly, facilitating a more personalized prediction approach. [ABSTRACT FROM AUTHOR]

• Sarcopenic patients experience more frequent toxicities prior to radiotherapy. • Sarcopenia is an independent adverse prognostic factor for RT-induced dysphagia. • Besides dysphagia, sarcopenia is not associated with acute RT-induced toxicities. • Sarcopenia does not improve the current NTCP models for acute toxicities. Sarcopenia is related to late radiation-induced toxicities and worse survival in head and neck cancer (HNC) patients. This study tested the hypothesis that sarcopenia improves the performance of current normal tissue complication probability (NTCP) models of radiation-induced acute toxicity in HNC patients. This was a retrospective analysis in a prospective cohort of HNC patients treated from January 2007 to December 2018 with (chemo)radiotherapy. Planning CT scans were used for evaluating skeletal muscle mass. Characteristics of sarcopenic and non-sarcopenic patients were compared. The impact of sarcopenia was analysed by adding sarcopenia to the linear predictors of current NTCP models predicting physician- and patient-rated acute toxicities. The cut-off values of sarcopenia in the study population (n = 977) were established at skeletal muscle index < 42.0 cm2/m2 (men) and < 31.2 cm2/m2 (women), corresponding to the lowest sex-specific quartile. Compared to non-sarcopenic patients, sarcopenic patients were more frequently smokers (61% vs. 48%, p < 0.001), had more often advanced stage of disease (stage III-IV, p = 0.004), higher age (67 vs. 63 years, p < 0.001) and experienced more pretreatment complaints, such as dysphagia (grade ≥ 2, p < 0.001). Sarcopenia remained statistically significant, next to the linear predictor, only for physician-rated grade ≥ 3 dysphagia (week 3–6 during RT, p < 0.01). However, sarcopenia did not improve the performance of these NTCP models (p > 0.99). Sarcopenia in HNC patients was an independent prognostic factor for radiation-induced physician-rated acute grade ≥ 3 dysphagia, which might be explained by its impact on swallowing muscles. However, addition of sarcopenia did not improve the NTCP model performance. [ABSTRACT FROM AUTHOR]

Purpose: Radiation therapy for head and neck cancer frequently leads to salivary gland damage and subsequent xerostomia. The radiation response of the parotid glands of rats, mice, and patients critically depends on dose to parotid gland stem cells, mainly located in the gland's main ducts (stem cell rich [SCR] region). Therefore, this double-blind randomized controlled trial aimed to test the hypothesis that parotid gland stem cell sparing radiation therapy preserves parotid gland function better than currently used whole parotid gland sparing radiation therapy.Methods and Materials: Patients with head and neck cancer (n = 102) treated with definitive radiation therapy were randomized between standard parotid-sparing and stem cell sparing (SCS) techniques. The primary endpoint was >75% reduction in parotid gland saliva production compared with pretreatment production (FLOW12M). Secondary endpoints were several aspects of xerostomia 12 months after treatment.Results: Fifty-four patients were assigned to the standard arm and 48 to the SCS arm. Only dose to the SCR regions (contralateral 16 and 11 Gy [P = .004] and ipsilateral 26 and 16 Gy [P = .001] in the standard and SCS arm, respectively) and pretreatment patient-rated daytime xerostomia (35% and 13% [P = .01] in the standard and SCS arm, respectively) differed significantly between the arms. In the SCS arm, 1 patient (2.8%) experienced FLOW12M compared with 2 (4.9%) in the standard arm (P = 1.00). However, a trend toward better relative parotid gland salivary function in favor of SCS radiation therapy was shown. Moreover, multivariable analysis showed that mean contralateral SCR region dose was the strongest dosimetric predictor for moderate-to-severe patient-rated daytime xerostomia and grade ≥2 physician-rated xerostomia, the latter including reported alteration in diet.Conclusions: No significantly better parotid function was observed in SCS radiation therapy. However, additional multivariable analysis showed that dose to the SCR region was more predictive of the development of parotid gland function-related xerostomia endpoints than dose to the entire parotid gland. [ABSTRACT FROM AUTHOR]

• Relating organ LET to head and neck toxicity not feasible for current practice. • Does not contradict previous evidence for increased RBE for high LET. • Lack of variation in LET causes high required sample size. • Other methods to investigate RBE and LET in clinical practice are suggested. The relative biological effectiveness (RBE) of proton therapy is predicted to vary with the dose-weighted average linear energy transfer (LET d). However, RBE values may substantially vary for different clinical endpoints. Therefore, the aim of this study was to assess the feasibility of relating mean D⋅LET d parameters to patient toxicity for HNC patients treated with proton therapy. The delivered physical dose (D) and the voxel-wise product of D and LET d (D⋅LET d) distributions were calculated for 100 head and neck cancer (HNC) proton therapy patients using our TPS (Raystation v6R). The means and covariance matrix of the accumulated D and D⋅LET d of all relevant organs-at-risk (OARs) were used to simulate 2.500 data sets of different sizes. For each dataset, an attempt was made to add mean D⋅LET d parameters to a multivariable NTCP model based on mean D parameters of the same OAR for xerostomia, tube feeding and dysphagia. The likelihood of creating an NTCP model with statistically significant parameters (i.e. power) was calculated as a function of the simulated sample size for various RBE models. The sample size required to have a power of at least 80% to show an independent effect of mean D⋅LET d parameters on toxicity is over 15,000 patients for all toxicities. For current clinical practice, it is not feasible to directly model NTCP with both mean D and mean D⋅LET d of OARs. These findings should not be interpreted as a contradiction of previous evidence for the relationship between RBE and LET d. [ABSTRACT FROM AUTHOR]

Purpose: Radiation therapy is an effective but burdensome treatment for head and neck cancer (HNC). We aimed to characterize the severity and time pattern of patient-reported symptoms and quality of life in a large cohort of patients with HNC treated with definitive radiation therapy, with or without systemic treatment.Methods and Materials: A total of 859 patients with HNC treated between 2007 and 2017 prospectively completed the European Organization for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire-Head and Neck Cancer module (QLQ-HN35) and Core Quality of Life Questionnaire (QLQ-C30) at regular intervals during and after treatment for up to 5 years. Patients were classified into 3 subgroups: early larynx cancer, infrahyoideal cancer, and suprahyoideal cancer. Outcome scales of both questionnaires were quantified per subgroup and time point by means of average scores and the frequency distribution of categorized severity (none, mild, moderate, and severe). Time patterns and symptom severity were characterized. Toxicity profiles were compared using linear mixed model analysis. Additional toxicity profiles based on age, human papillomavirus status, treatment modality, smoking status, tumor site, and treatment period were characterized as well.Results: The study population consisted of 157 patients with early larynx cancer, 304 with infrahyoideal cancer, and 398 with suprahyoideal cancer. The overall questionnaire response rate was 83%. Generally, the EORTC QLQ-HN35 symptoms reported showed a clear time pattern, with increasing scores during treatment followed by a gradual recovery in the first 2 years. Distinct toxicity profiles were seen across subgroups (P < .001), with generally less severe symptom scores in the early larynx subgroup. The EORTC QLQ-C30 functioning, quality-of-life, and general symptoms reported showed a less evident time pattern and less pronounced differences in mean scores between subgroups, although differences were still significant (P < .001). Differences in mean scores were most pronounced for role functioning, appetite loss, fatigue, and pain.Conclusions: We established patient-reported toxicity and quality-of-life profiles that showed different patterns for 3 subgroups of patients with HNC. These profiles provide detailed information on the severity and persistence of various symptoms as experienced by patients during and after definitive radiation therapy. These profiles can be used to inform treatment of future patients and may serve as a benchmark for future studies. [ABSTRACT FROM AUTHOR]

• Quality of Life (QOL)-optimised radiotherapy for head and neck cancer. • Efficient and consistent QOL-weighted NTCP-guided optimisation. • Prioritised sparing of OARs related to high impact toxicities. • QOL-based treatment plan evaluation and selection. • Systematic improvement of QOL compared to conventional VMAT. To evaluate the feasibility of semi-automatic Quality of Life (QOL)-weighted normal tissue complication probability (NTCP)-guided VMAT treatment plan optimisation in head and neck cancer (HNC) and compare predicted QOL to that obtained with conventional treatment. This study included 30 HNC patients who were treated with definitive radiotherapy. QOL-weighted NTCP-guided VMAT plans were optimised directly on 80 multivariable NTCP models of 20 common toxicities and symptoms on 4 different time points (6, 12, 18 and 24 months after radiotherapy) and each NTCP model was weighted relative to its impact on QOL. Planning results, NTCP and predicted QOL were compared with the clinical conventional VMAT plans. QOL-weighted NTCP-guided VMAT plans were clinically acceptable, had target coverage equally adequate as the clinical plans, but prioritised sparing of organs at risk (OAR) related to toxicities and symptoms that had the highest impact on QOL. NTCP was reduced for, e.g., dysphagia (−6.1% for ≥grade 2/−7.6% for ≥grade 3) and moderate-to-severe fatigue/speech problems/hoarseness (−0.7%/−1.5%/−2.5%) at 6 months, respectively. Concurrently, the average NTCP of toxicities related to salivary function increased with +0.4% to +5.7%. QOL-weighted NTCP-guided plans were produced in less time, were less dependent on the treatment planner experience and yielded more consistent results. The average predicted QOL improved by 0.7, 0.9, 1.0, and 1.1 points on a 0–100 scale (p < 0.001) at 6, 12, 18, and 24 months, respectively, compared to the clinical plans. Semi-automatic QOL-weighted NTCP-guided VMAT treatment plan optimisation is feasible. It prioritised sparing of OARs related to high-impact toxicities and symptoms and resulted in a systematic improvement of predicted QOL compared to conventional VMAT. [ABSTRACT FROM AUTHOR]

• External validated Quality of Life (QOL) model for head and neck cancer patients. • Model provides relative impact on QOL of 20 common late toxicities and symptoms. • It allows for prioritised organs at risk sparing during radiotherapy. • QOL model allows for dose plan comparison based on differences in predicted QOL. The aim of this study is to establish the relative impact of physician-rated toxicities and patient-rated symptoms in head and neck cancer (HNC) on quality of life (QOL) and to weigh the various toxicities and symptoms during treatment plan optimization and selection. This prospective cohort study comprised 1083 HNC patients (development: 750, validation: 333) treated with definitive radiotherapy with or without chemotherapy. Clinical factors were scored at baseline. Physician-rated and patient-rated outcome measures and QOL (EORTC QLQ-HN35 and QLQ-C30) were prospectively scored at baseline and 6, 12, 18 and 24 months after radiotherapy. The impact of 20 common toxicities and symptoms (related to swallowing, salivary function, speech, pain and general complaints) on QOL (0–100 scale) was established for each time point by combining principal component analysis and multivariable linear regression. Radiation-induced toxicities and symptoms resulted in a significant decline in QOL of patients with 12.4 ± 12.8 points at 6 months to 16.6 ± 17.1 points at 24 months. The multivariable linear models described the QOL points subtracted for each toxicity and symptom after radiotherapy. For example, xerostomia and weight loss had a significant but minor effect (on average –0.5 and –0.6 points) while speech problems and fatigue had a much greater impact (on average –11.9 and –17.4 points) on QOL. R 2 goodness-of-fit values for the QOL models ranged from 0.64 (6 months) to 0.72 (24 months). The relative impact of physician-rated toxicities and patient-rated symptoms on QOL was quantified and can be used to optimize, compare and select HNC radiotherapy treatment plans, to balance the relevance of toxicities and to achieve the best QOL for individual patients. [ABSTRACT FROM AUTHOR]

• A tool is developed to preselect HNC patients for proton therapy. • The tool uses data from VMAT plan and/or delineation to predict proton indication. • Photon vs. proton plan comparison result was predicted with a 80% accuracy by tool. • Redundant plan comparisons were prevented by 68% using the tool. • This will significantly increase cost-effectiveness of patient selection for proton. In the Netherlands, head and neck cancer (HNC) patients are selected for proton therapy (PT) based on estimated normal tissue complication probability differences (ΔNTCP) between photons and protons, which requires a plan comparison (VMAT vs. IMPT). We aimed to develop tools to improve patient selection for plan comparisons. This prospective study consisted of 141 consecutive patients in which a plan comparison was done. IMPT plans of patients not qualifying for PT were classified as 'redundant'. To prevent redundant IMPT planning, 5 methods that were primarily based on regression models were developed to predict IMPT D mean to OARs, by using data from VMAT plans and volumetric data from delineated targets and OARs. Then, actual and predicted plan comparison outcomes were compared. The endpoint was being selected for proton therapy. Seventy out of 141 patients (49.6%) qualified for PT. Using the developed preselection tools, redundant IMPT planning could have been prevented in 49–68% of the remaining 71 patients not qualifying for PT (=specificity) when the sensitivity of all methods was fixed to 100%, i.e., no false negative cases (positive predictive value range: 57–68%, negative predictive value: 100%). The advanced preselection tools, which uses volume and VMAT dose data, prevented labour intensive creation of IMPT plans in up to 68% of non-qualifying patients for PT. No patients qualifying for PT would have been incorrectly denied a plan comparison. This method contributes significantly to a more cost-effective model-based selection of HNC patients for PT. [ABSTRACT FROM AUTHOR]

• Ischaemic cerebrovascular event risk is associated with carotid artery radiation dose. • The absolute V10Gy is the most important predictor. • An NTCP model was developed to predict ischaemic cerebrovascular event risk. • This may lead to more adequate prevention strategies in head and neck cancer patients. Radiotherapy in the head and neck area may cause vascular damage to the carotid arteries, increasing the risk of anterior circulation ischaemic cerebrovascular events (ICVEs). However, limited data exists on the relationship between radiation dose to the carotid arteries and risk of ICVE. The purpose of this study was therefore to determine the relationship between radiation dose to the carotid arteries and anterior circulation ICVE risk. A retrospective analysis of a prospective study cohort of 750 head and neck cancer patients treated with definitive (chemo)radiotherapy was performed. Carotid arteries were delineated, and dose–volume parameters of the treatment plans were calculated. ICVEs were scored prospectively and checked retrospectively by analysing all patient records. Cox proportional hazards analysis was performed to analyse the dose–effect relationships. The median follow-up period was 3.4 years, 27 patients experienced an ICVE and the 5-year cumulative risk was 4.6%. ICVE risk was significantly associated with dose to the carotid arteries. Multivariable analysis showed that the absolute volume (cm3) of the carotid arteries that received at least a radiation dose of 10 Gy was the most important prognostic factor for ICVE (HR = 1.11, AUC = 0.68, p < 0.001). This is the first large prospective cohort study that demonstrates an independent dose–effect relationship between radiation dose to the carotid arteries and the risk of ICVE. These findings may be used to identify patients at risk for ICVE after radiotherapy who may benefit from primary or secondary preventive measures. [ABSTRACT FROM AUTHOR]

• Comprehensive individual toxicity risk profile for head and neck cancer patients. • Longitudinal risk prediction of 22 common radiation-induced toxicities. • Fourteen organs at risk and integral radiation dose were associated with toxicity. • Oral cavity was predominantly involved and therefore critical to spare. • Stepping stone towards individualised optimisation of radiation treatment. A comprehensive individual toxicity risk profile is needed to improve radiation treatment optimisation, minimising toxicity burden, in head and neck cancer (HNC) patients. We aimed to develop and externally validate NTCP models for various toxicities at multiple time points. Using logistic regression, we determined the relationship between normal tissue irradiation and the risk of 22 toxicities at ten time points during and after treatment in 750 HNC patients. The toxicities involved swallowing, salivary, mucosal, speech, pain and general complaints. Studied predictors included patient, tumour and treatment characteristics and dose parameters of 28 organs. The resulting NTCP models were externally validated in 395 HNC patients. The NTCP models involved 14 organs that were associated with at least one toxicity. The oral cavity was the predominant organ, associated with 12 toxicities. Other important organs included the parotid and submandibular glands, buccal mucosa and swallowing muscles. In addition, baseline toxicity, treatment modality, and tumour site were common predictors of toxicity. The median discrimination performance (AUC) of the models was 0.71 (interquartile range: 0.68–0.75) at internal validation and 0.67 (interquartile range: 0.62–0.71) at external validation. We established a comprehensive individual toxicity risk profile that provides essential insight into how radiation exposure of various organs translates into multiple acute and late toxicities. This comprehensive understanding of radiation-induced toxicities enables a new radiation treatment optimisation concept that balances multiple toxicity risks simultaneously and minimises the overall toxicity burden for an individual HNC patient who needs to undergo radiation treatment. [ABSTRACT FROM AUTHOR]

• The season of radiotherapy delivery (fall/winter versus spring/summer) was queried. • Season of treatment does not influence either PFS or LRF in head and neck cancer. • No impact was seen even in Northern countries where differences are expected to be greater. A single institution retrospective study suggested that head and neck squamous cell cancer (HNSCC) patients receiving radiotherapy (RT) during "dark" season (fall/winter) may have better outcomes than those treated during "light" season (spring/summer), possibly secondary to seasonal variations in cell cycle progression. We investigated the impact of season of RT in two large, multi-institutional, prospective datasets of randomized trials. Individual patient data from the MACH-NC and MARCH meta-analyses were analyzed. Dark season was defined as mid-radiotherapy date during fall or winter and light the reverse, using equinoxes to separate the two periods. Primary endpoint was progression-free survival (PFS) and secondary endpoint was locoregional failure (LRF). The effect of season was estimated with a Cox model stratified by trial and adjusted on sex, tumor site, stage, and treatment. Planned sensitivity analyses were performed on patients treated around solstices, who received "complete radiotherapy", patients treated with concomitant radio-chemotherapy and on trials performed in Northern countries. 11320 patients from 33 trials of MARCH and 6276 patients from 29 trials of MACH-NC were included. RT during dark season had no benefit on PFS in the MARCH (hazard ratio[HR]: 1.01 [95%CI 0.97;1.05],p=0.72) or MACH-NC dataset (HR:1.00 [95%CI 0.94;1.06],p=1.0. No difference in LRF was observed in the MARCH (HR:1.00 [95%CI 0.94;1.06,p=0.95) or MACH-NC dataset (HR:0.99 [95%CI 0.91; 1.07],p=0.77). Sensitivity analyses showed similar results. Season of RT had no impact on PFS or LRF in two large databases of HNSCC. [ABSTRACT FROM AUTHOR]

• With online verification on a 6D robotic couch, the non-rigid setup errors are found to be up to four times larger below the cricoid cartilage than above it, reducing dosimetric robustness below the neck regions. • The tumor control probability based on the primary tumor is not strongly correlated with the positioning errors of the prophylactic CTV in the neck regions. • Based on the obtained residual setup errors, robustness optimization setup setting of 2 mm is substantiated for head and neck cancers. • Care should be taken when applying this 2 mm margin to the lower neck regions when head and neck movements are large and irregular or when shoulder positioning is less reproducible: asymmetrical patient and location specific margins could be considered. To assess the residual geometrical errors (dr) and their impact on the clinical target volumes (CTV) dose coverage for head and neck cancer (HNC) proton therapy patients. We analysed 28 HNC patients treated with 70 Gy (RBE) and 54.25 Gy (RBE) to the therapeutic CTV 70 and prophylactic CTV 54.25 , respectively. Daily cone beam CTs were converted to high quality synthetic CTs (sCTs). The CTVs from the nominal CT were propagated to the corresponding sCTs using a hybrid deformable image registration (propagated CTVs) in RayStation 11B. For 11 patients, all propagated CTVs were reviewed by our HNC radiation oncologist (physician corrected CTVs). The residual geometrical error dr was quantified as a function of the daily CTVs volume overlap with the nominal plan CTV. The errors dr(propagated CTVs) and dr(physician corrected CTVs) and the difference in dice similarity coefficients (ΔDSC) were determined. Using clinical plans, dose coverage and the tumor control probability (TCP) for the nominal, accumulated and voxel-wise minimum scenarios were determined. The difference in the residual geometrical error dr (propagated CTVs – physician corrected CTVs) and mean DSC (|ΔDSC|mean) were minor: Δdr(CTV 70) = 0.16 mm, Δdr(CTV 54.25) = 0.26 mm, |ΔDSC|mean < 0.9%. For all 28 patients, dr(CTV 70) = 1.91 mm and dr(CTV 54.25) = 1.90 mm. However, CTV 54.25 above and below the cricoid cartilage differed substantially (1.00 mm c.f. 3.93 mm). The CTV 54.25 coverage below the cricoid was then almost always lower, although the TCP of the accumulated dose was higher than the TCP of the voxel-wise minimum dose. Setup uncertainty setting of 2 mm is possible. The feasibility of using propagated CTVs for error determination is demonstrated. [ABSTRACT FROM AUTHOR]

Tubarial glands, Salivary glands, Radiation toxicity, Radiotherapy, Head and neck cancer, PSMA PET/CT The tubarial glands paper: A starting point. A reply to comments. [Extracted from the article]

• Probabilistic dose accumulation was performed for ten IMPT head and neck cancer. • Comparisons were made between different setup and range uncertainty settings. • A setup uncertainty setting of 2 mm was found to give sufficient target coverage. To establish optimal robust optimization uncertainty settings for clinical head and neck cancer (HNC) patients undergoing 3D image-guided pencil beam scanning (PBS) proton therapy. We analyzed ten consecutive HNC patients treated with 70 and 54.25 Gy RBE to the primary and prophylactic clinical target volumes (CTV) respectively using intensity-modulated proton therapy (IMPT). Clinical plans were generated using robust optimization with 5 mm/3% setup/range uncertainties (RayStation v6.1). Additional plans were created for 4, 3, 2 and 1 mm setup and 3% range uncertainty and for 3 mm setup and 3%, 2% and 1% range uncertainty. Systematic and random error distributions were determined for setup and range uncertainties based on our quality assurance program. From these, 25 treatment scenarios were sampled for each plan, each consisting of a systematic setup and range error and daily random setup errors. Fraction doses were calculated on the weekly verification CT closest to the date of treatment as this was considered representative of the daily patient anatomy. Plans with a 2 mm/3% setup/range uncertainty setting adequately covered the primary and prophylactic CTV (V 95 ≥ 99% in 98.8% and 90.8% of the treatment scenarios respectively). The average organ-at-risk dose decreased with 1.1 Gy RBE /mm setup uncertainty reduction and 0.5 Gy RBE /1% range uncertainty reduction. Normal tissue complication probabilities decreased by 2.0%/mm setup uncertainty reduction and by 0.9%/1% range uncertainty reduction. The results of this study indicate that margin reduction below 3 mm/3% is possible but requires a larger cohort to substantiate clinical introduction. [ABSTRACT FROM AUTHOR]

• Model-based selection of patients with HNC for proton is clinically feasible. • Around 35% of HNC patients qualify for protons. • Most patients are selected based on ΔNTCP in dysphagia-related models. • Patients with advanced and pharyngeal tumor have higher probability to be selected. In the Netherlands, head and neck cancer (HNC) patients qualify for intensity modulated proton therapy (IMPT) based on model-based selection (MBS). The aim of this study was to evaluate the first experience in MBS of HNC patients. Patients who were subjected to MBS (Jan 2018–Sep 2019) were evaluated. A VMAT plan was created for all patients with optimal sparing of organ at risks (OARs) in normal tissue complication probability (NTCP) models for a number of toxicities. An IMPT plan was created only for those with NTCP difference (ΔNTCP) between VMAT and best-case scenario for proton (assuming 0 Gy dose for all OARs in IMPT plan) that exceeded any ΔNTCP-thresholds defined in Dutch National Indication Protocol. These patients qualified for a robust IMPT-plan creation with similar target doses and subsequent plan comparison. Of 227 patients, 141 (62%) qualified for plan comparison, of which 80 (35%) were eventually selected for proton therapy. Most patients were selected based on the ΔNTCP for dysphagia-related toxicities. The selection rate was higher among patients with advanced disease, pharyngeal tumors, and/or baseline complaints. A significant reduction in all OAR doses and NTCP values was obtained with IMPT compared with VMAT in both selected and non-selected patients, but more pronounced in patients selected for protons. Model-based selection of patients with HNC for proton therapy is clinically feasible. Approximately one third of HNC patients qualify for protons and these patients have the highest probability to benefit from protons in terms of toxicity prevention. [ABSTRACT FROM AUTHOR]