OBJECTIVE: Target volumes for radiotherapy are usually contoured manually, which can be time-consuming and prone to inter- and intra-observer variability. Automatic contouring by convolutional neural networks (CNN) can be fast and consistent but may produce unrealistic contours or miss relevant structures. We evaluate approaches for increasing the quality and assessing the uncertainty of CNN-generated contours of head and neck cancers with PET/CT as input. Approach. Two patient cohorts with head and neck squamous cell carcinoma and baseline 18F-fluorodeoxyglucose positron emission tomography and computed tomography images (FDG-PET/CT) were collected retrospectively from two centers. The union of manual contours of the gross primary tumor and involved nodes was used to train CNN models for generating automatic contours. The impact of image preprocessing, image augmentation, transfer learning and CNN complexity, architecture, and dimension (2D or 3D) on model performance and generalizability across centers was evaluated. A Monte Carlo dropout technique was used to quantify and visualize the uncertainty of the automatic contours. Main results. CNN models provided contours with good overlap with the manually contoured ground truth (median Dice Similarity Coefficient: 0.75 - 0.77), consistent with reported inter-observer variations and previous auto-contouring studies. Image augmentation and model dimension, rather than model complexity, architecture, or advanced image preprocessing, had the largest impact on model performance and cross-center generalizability. Transfer learning on a limited number of patients from a separate center increased model generalizability without decreasing model performance on the original training cohort. High model uncertainty was associated with false positive and false negative voxels as well as low Dice coefficients. Significance. High quality automatic contours can be obtained using deep learning architectures that are not overly complex. Uncertainty estimation of the predicted contours shows potential for highlighting regions of the contour requiring manual revision or flagging segmentations requiring manual inspection and intervention. .

Genetic tumor syndromes are due to inherited genetic mutations, which have recently come to the attention of clinicians due to the widespread adoption of DNA sequencing, ultimately leading to imaging for surveillance. As a result, radiologists must be familiar with the clinical, genetic, and radiologic features of these syndromes. This article reviews genetic tumor syndromes of the head and neck according to the recently updated WHO\'s 5th edition.

Patients with recurrent or metastatic head and neck cancers (R/M HNCs) are prone to developing resistance after immunotherapy. This retrospective real-world study aims to investigate whether the addition of anlotinib can reverse resistance to PD-1 inhibitors (PD-1i) and evaluate the efficacy and safety of this combination in R/M HNCs. Main outcomes included objective response rate (ORR), disease control rate (DCR), progression-free survival (PFS), overall survival (OS), duration of response (DOR), and safety. Potential biomarkers included PD-L1 expression, lipid index, and genomic profiling. Twenty-one patients with R/M HNCs were included, including 11 nasopharyngeal carcinoma (NPC), five head and neck squamous cell carcinoma (HNSCC), three salivary gland cancers (SGC), and two nasal cavity or paranasal sinus cancers (NC/PNC). Among all patients, ORR was 47.6% (95% CI: 28.6-66.7), with 2 (9.5%) complete response; DCR was 100%. At the median follow-up of 17.1 months, the median PFS and OS were 14.3 months (95% CI: 5.9-NR) and 16.7 months (95% CI:8.4-NR), respectively. The median DOR was 11.2 months (95% CI: 10.1-NR). As per different diseases, the ORR was 45.5% for NPC, 60.0% for HNSCC, 66.7% for SGC, and 50.0% for NC/PNC. Most treatment-related adverse events (TRAEs) were grade 1 or 2 (88.9%). The most common grades 3-4 TRAE was hypertension (28.6%), and two treatment-related deaths occurred due to bleeding. Therefore, adding anlotinib to the original PD-1i could reverse PD-1 blockade resistance, with a favorable response rate, prolonged survival, and acceptable toxicity, indicating the potential as a second-line and subsequent therapy choice in R/M HNCs.

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The incidence of head and neck cancers, particularly those associated with Human Papillomavirus (HPV) infections, has been steadily increasing. Conventional therapies exhibit limitations and drawbacks, prompting the exploration of new strategies over the years, with nanomedicine approaches, especially liposomes gaining relevance. Additionally, the functionalization of liposomes with aptamers enables selective delivery to target cells. For instance, AT11 can serve as a targeting moiety for cancer cells due to its high affinity for nucleolin, a protein overexpressed on the cancer cell\'s surface. In this study, liposomes functionalized with AT11 are proposed as drug delivery systems for imiquimod (IQ), aiming to maximize its potential as an anticancer agent for HPV-related cancers. To this end, firstly liposomes were produced through the ethanol injection method, functionalized with AT11-TEG-Cholesteryl, and characterized using dynamic light scattering. The obtained liposomes presented suitable properties for cancer therapy (with sizes from 120 to 140 nm and low polydispersity PDI < 0.16) and were further evaluated in terms of potential anticancer effects. AT11 IQ-associated liposomes allowed a selective delivery of IQ towards a tongue cancer cell line (UPCI-SCC-154) relative to the non-malignant cell line (Het1A). Specifically, they induced a selective reduction of the cell viability (∼52 % versus ∼113 %; p < 0.0001), proliferation (∼68 % versus ∼102 %; p<0.0001) and increased cell death (∼7-fold increase; p < 0.0001)). Additionally, they decreased the migration (from ∼24 % to ∼8 %; p < 0.0001) and invasion (to 11 %; p = 0.0047) capacities of the cancer cells. In summary, the produced liposomes represent a promising approach to enhance the anticancer potential of IQ in head and neck cancer, particularly in tongue cancer.

BACKGROUND: Head and neck cancers (HNC) present diagnostic challenges due to multifocal disease manifestations, posing difficulties in distinguishing between metastatic disease and second primary malignancies (SPM). This complexity underscores the need for advanced diagnostic approaches. Emerging technologies, such as next-generation sequencing (NGS) and molecular classifier assays, show promise in providing precise insights into the diverse etiologies of HNC.
METHODS: In this article, we employed NGS and molecular classifier assays to delve into three distinct clinical cases. The objective was to showcase the instrumental role of these technologies in facilitating accurate diagnoses and differentiating between metastatic disease and SPM in HNC cases.
RESULTS: The results of this series highlight the effectiveness of NGS and molecular classifier assays in enhancing diagnostic accuracy for HNC and contributing to the precise differentiation of disease etiologies. The utilization of these advanced technologies proved instrumental in avoiding unnecessary interventions and paved the way for more targeted and effective treatment strategies.
CONCLUSIONS: Our findings underscore the necessity of incorporating advanced molecular testing technologies into the diagnostic and therapeutic approaches for HNC, thereby championing a more nuanced and effective approach to managing these complex cases.

OBJECTIVE: The aim of this study was to explore the relationship between the EAT-Lancet diet (ELD) and head and neck cancers (HNCs) in 101,755 Americans enrolled in the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial.
METHODS: Prospective cohort study.
METHODS: ELD score was calculated to assess participant\'s adherence to ELD. Cox hazard regression models were utilised to evaluate the association of ELD and dietary components with HNC risk. Restricted cubic spline (RCS) plots were employed to explore the linearity of the relationships. Predefined subgroup analyses and sensitivity analyses were performed to identify potential effect modifiers and to assess the stability of the findings, respectively.
RESULTS: After a mean follow-up of 8.84 years, 279 cases of HNCs, including 169 cases of oral cavity and pharyngeal cancers and 110 cases of laryngeal cancer were recorded. This study observed a dose-response negative correlation between ELD and HNCs (hazard ratio [HR]Q4 vs Q1: 0.52; 95% confidence interval [CI]: 0.34, 0.80; P-trend = 0.003; HRper SD increment: 0.80; 95% CI: 0.71, 0.91), and oral cavity and pharyngeal cancers (HRQ4 vs Q1: 0.52; 95% CI: 0.31, 0.88; P-trend = 0.008; HRper SD increment: 0.78; 95% CI: 0.66, 0.92). Analysis using RCS plots indicated a significant linear association between adherence to the ELD and reduced risk of HNCs and oral cavity and pharyngeal cancers (P-nonlinearity > 0.05). Subgroup analysis did not reveal significant interaction factors (P-interaction > 0.05), and sensitivity analysis confirmed the robustness of this study. Additionally, negative correlations were found between the consumption of fruits and whole grains and HNCs (fruits: HRQ4 vs Q1: 0.58; 95% CI: 0.40, 0.84; P-trend = 0.010; whole grains: HRQ4 vs Q1: 0.51; 95% CI: 0.26, 0.97; P-trend = 0.004).
CONCLUSIONS: Adherence to ELD contributes to the prevention of HNCs.

BACKGROUND: Patients during radiotherapy due to head and neck cancers experience a lot of side effects which may have a considerable impact on the patients\' ability to meet individual daily energy demands by means of oral diet.
METHODS: The study included 104 head and neck cancer patients who qualified for radical radiotherapy. Radical treatment takes 6 weeks and every week the patients were assessed for dietary intake. The subjects were covered with the constant care of a dietician, received FSMP (food for special medical purposes), and, if necessary, enteral nutrition.
RESULTS: In the first week of treatment, the patients, from the kitchen diet alone, met 91.5% of the energy demand, while in the last week of treatment, only 40.9%. After introducing the FSMP or enteral nutrition, the patients met 120% of the demand in the first week of therapy and 95% in the last week, respectively. The patients who followed the dietary recommendations were characterized by significantly lower weight loss (3.07 kg) compared to non-adherent patients (5.56 kg).
CONCLUSIONS: The used therapy significantly contributed to decreasing nutritional intake in the subsequent weeks of treatment. On the other hand, incorporating FSMP in the diet and enteral nutrition with industrial diets significantly increased the fulfilled energy demand of patients.

Although the relationship between allergies and cancer has been investigated extensively, the role of allergies in head and neck cancer (HNC) appears less consistent. It is unclear whether allergies can independently influence the risk of HNC in the presence of substantial environmental risk factors, including consumption of alcohol, betel quid, and cigarettes. This study aims to find this association. We examined the relationship between allergies and HNC risk in a hospital-based case-control study with 300 cases and 375 matched controls. Logistic regression models were used to estimate odds ratios (OR) and 95% confidence intervals, controlling for age, sex, tobacco smoking and opium usage history, alcohol consumption, and socioeconomic status. Our study showed a significant reduction in the risk of HNC associated with allergy symptoms after adjusting for confounders. The risk of HNC was greatly reduced among those with any type of allergy (OR 0.42, 95% CI 0.28, 0.65). The ORs were considerably reduced by 58-88% for different kinds of allergies. The risk of HNC reduction was higher in allergic women than in allergic men (71% vs. 49%). Allergies play an influential role in the risk of HNC development. Future studies investigating immune biomarkers, including cytokine profiles and genetic polymorphisms, are necessary to further delineate the relationship between allergies and HNC. Understanding the relationship between allergies and HNC may help to devise effective strategies to reduce and treat HNC.

OBJECTIVE: Head and Neck Cancer (HNC) patients receiving radiotherapy (RT) often suffer from xerostomia and/or hyposalivation. As saliva plays an important antimicrobial and cleansing roles, these patients are at higher risks of opportunistic infections. This narrative review aims to provide an overview of current evidence on oral Candida colonisation and infection in these patients.
METHODS: A literature review of clinical studies on oral Candida colonisation and candidiasis in HNC patients receiving radiotherapy/chemoradiotherapy was conducted.
RESULTS: Many clinical studies found high levels of Candida colonisation and a substantial proportion of post-RT HNC patients suffering from oropharyngeal candidiasis (OPC). Importantly, oral Candida could be a reservoir for life-threatening systemic infection in immunocompromised patients. The rising prevalence of non-albicans Candida species and drug-resistant infections has made identification of Candida species and antifungal susceptibility more important. Recent advances in oral microbiome and its interactions with Candida are discussed. This review also offers perspectives on limitations of current evidence and suggestions for future research.
CONCLUSIONS: Further research to better understand Candida carriage, microbiome, OPC, and xerostomia/hyposalivation post-RT would aid in devising a more comprehensive long-term management plan and novel therapeutic approaches for HNC patients to achieve the full benefits of RT while minimising side effects.