Neck Cancer Population Research Articles

Managing Functional Biopsychosocial Outcomes Impacted by Chronic Obstructive Pulmonary Disease Using Telehealth

Purpose: The use of telehealth in the management of chronic obstructive pulmonary disease (COPD) has demonstrated benefit in addressing some key treatment barriers (e.g., accessibility of health care, costs, frailty, transportation, mobility, time). This modality may hold similar promise for the management of functional impairments in this population. Telehealth has been explored within head and neck cancer and neurological populations in dysphagia; however, less is known about the use of telehealth for biopsychosocial and eating-related impacts in COPD. The purpose of this tutorial is to describe the application of telehealth to this population, discuss the modality in the context of the medical management of COPD and dysphagia management in other populations, and provide considerations for its use. We then report a case implementation of Sudarshan Kriya Yoga as a telehealth approach in this population and describe preliminary biopsychosocial and eating-related and functional outcomes. Conclusions: As grounded in the previous literature and based on the preliminary case implementation findings of a small sample, telehealth for functional biopsychosocial management in the COPD population appears acceptable, appropriate, cost-effective, and feasible. This perspective demonstrates initial proof of concept and advances the diversification of management options that may better address the various complex needs of our clinical populations.

Validation of the Swedish Dynamic Imaging Grade of Swallowing Toxicity for Flexible Endoscopic Evaluation of Swallowing (DIGEST-FEES).

In the head and neck cancer (HNC) population around 45% suffer from chronic swallowing difficulties after cancer treatment. Previously a measure for flexible endoscopic evaluation of swallowing (FEES) where swallowing efficiency, safety and overall ability is evaluated within the same framework has been lacking. The Dynamic Imaging Grade of Swallowing Toxicity for FEES (DIGEST-FEES) was developed in 2021 and provides such a measure for patients with HNC. The aim of this study was to translate and validate the DIGEST-FEES into Swedish (Sw-DIGEST-FEES). A translation of the protocol to Swedish was done through forward-backward translation. Two raters rated eighty-nine FEES recordings according to the Sw-DIGEST-FEES and five reference measures of swallowing ability: Yale Pharyngeal Residue Severity Rating Scale, Swallowing Performance Scale, Murray Secretion Scale, MD Anderson Dysphagia Inventory and Penetration Aspiration Scale. Intra- and interrater reliability was analyzed. Construct validity was evaluated by correlating the Sw-DIGEST-FEES ratings to the reference measures. A priori hypothesis was that the correlations would correspond to those of the reference measures included in the original English version. The Sw-DIGEST-FEES demonstrated retained psychometric properties. Construct validity was good. 79% of correlations to the reference measures were equal to or stronger than those in the original development. Inter-rater agreement of the Sw-DIGEST-FEES ranged from substantial to almost perfect (0.76-0.81). Intra-rater reliability was in general almost perfect (0.8-1). The Sw-DIGEST-FEES can be considered a valid and reliable protocol for use in evaluation of swallowing function in HNC patients.

Impact of Frailty on Post-Treatment Dysphagia in Patients with Head and Neck Cancer.

In the rising and frail head and neck cancer (HNC) population, geriatric assessments are crucial. Frail HNC patients often experience dysphagia. The coexistence of dysphagia and frailty presents complex health challenges, however, there is limited evidence on the prognostic value of frailty on post-treatment dysphagia. This study explores the relationship between pre-treatment frailty status and post-treatment dysphagia in HNC patients. A retrospective data analysis from the OncoLifeS data-biobank at the University Medical Center Groningen of 242 patients diagnosed with HNC between 2014 and 2016. The study involved several physical, functional and psychological pre-treatment geriatric assessments, and frailty screening using the Groningen Frailty Indicator (GFI) and the Geriatric-8 screening tool (G8). Outcome measures were swallowing-related quality of life (HNSW-QoL) and toxicity-related dysphagia evaluations (CTCAE-D) at 3, 6, 12 and 24 months. Linear mixed-effects models assessed factors associated with HNSW-QoL and CTCAE-D. Frail patients consistently reported worse HNSW-QoL and CTCAE-D than non-frail patients over time, with symptoms increasing at 3 months, but gradually decreasing by 24 months. Frailty status (G8 or GFI) was a significant predictor for lower HNSW-QoL (β = 11.770 and 10.936, both p < 0.001), and lower CTCAE-D (β = 0.245, p = 0.058; β = 0.331, p = 0.019), respectively. In this study, frailty was found to be associated with a worse of swallowing-related quality of life, and with increased toxicity-related dysphagia. These findings provide insights for the identification of HNC patients at higher risk of post-treatment swallowing-related issues, and offer opportunities for optimizing their post-treatment swallowing outcomes.

Performance of a trained large language model to provide clinical trial recommendation in a head and neck cancer population.

11081 Background: Chatbots based on large language model (LLM) have demonstrated ability to answer oncology exam questions; however, leveraging LLM in medical-decision support have not yet demonstrated suitable performance in oncology practice. We evaluated the performance of a trained a LLM, GPT-4, to recommend appropriate clinical trials for a head &amp; neck (HN) cancer population. Methods: In 2022, we developed an artificial intelligence powered clinical trial management mobile app, LookUpTrials, and demonstrated promising user engagement among oncologists. Using LookUpTrials database, we applied direct preference optimization to train GPT-4 as an in-app assistant to LookUpTrials. From Nov 7 to Dec 19, 2023, we collected consecutive, new patient cases and their respective clinical trial recommendations from oncologists in the HN medical oncology service at Memorial Sloan Kettering Cancer Center. Cases were categorized by diagnosis, cancer stage, treatment setting, and physician recommendation on clinical trials. Trained GPT-4 is prompted using a semi-structured template: “Given patient with a &lt;diagnosis&gt;, &lt;cancer stage&gt;, &lt;treatment setting&gt;, what are possible clinical trials?” Physician recommendations were compared with trained GPT-4 responses. We analyzed the performance of GPT-4 based on its response precision (positive predictive value), recall (sensitivity), and F1 score (harmonic mean of precision and recall). Results: We analyzed 178 patient cases, mean age 65.6 (SD 13.9), primarily male (75%) with local/locally advanced (68%) HN (61%), thyroid (16%), skin (9%), or salivary (8%) cancers. Majority were treated in the definitive setting with combined modality therapy (42%) and modest proportion were treated under clinical trials (10%). Overall, trained GPT-4 achieved a moderate performance matching physician clinical trial recommendations with 63% precision and 100% recall (F1 score 0.77), narrowing a total list of 56 HN clinical trials to a range of 0-4 relevant trials per patient case (mean 1, SD 1.2). Comparatively, performance of our trained GPT-4 exceeded historic performance of untrained LLMs to provide oncology treatment recommendation by 4-20 folds (F1 score 0.04 - 0.19). Conclusions: This proof-of-concept study demonstrated that trained LLM can achieve moderate performance in matching physician clinical trial recommendation in HN oncology. Our results suggest the potential of embedding trained LLM into oncology workflow to aid clinical trial search and accelerate clinical trial accrual. Future research is needed to optimize precision of trained LLM and to assess whether trained LLM may be a scalable solution to enhance the diversity and equity of clinical trial participation.

When Is Telemedicine Appropriate in the Management of Head and Neck Cancer? A Mixed-Methods Assessment Among Patients and Physicians.

Evidence suggests that oncology patients are satisfied with and sometimes prefer telemedicine compared with in-person visits; however, data are scarce on when telemedicine is appropriate for specific cancer populations. In this study, we aim to identify factors that influence patient experience and appropriateness of telemedicine use among a head and neck cancer (HNC) population. We performed a mixed-methods study at a multisite cancer center. First, we surveyed patients with HNC and analyzed factors that may influence their telemedicine experience using multivariate regression. We then conducted focus groups among HNC oncologists (n = 15) to evaluate their perception on appropriate use of telemedicine. From January to December 2020, we collected 1,071 completed surveys (response rate 24%), of which 551 first unique surveys were analyzed. About half of all patients (56%) reported telemedicine as "same or better" compared with in-person visits, whereas the other half (44%) reported "not as good or unsure." In multivariate analyses, patients with thyroid cancer were more likely to find telemedicine "same or better" (adjusted odds ratio, 2.08 [95% CI, 1.35 to 3.25]) compared with other HNC populations (mucosal/salivary HNC). Consistently, physician focus group noted that patients with thyroid cancer were particularly suited for telemedicine because of less emphasis on in-person examinations. Physicians also underscored factors that influence telemedicine use, including clinical suitability (treatment status, visit purpose, examination necessity), patient benefits (travel time, access), and barriers (technology, rapport-building). Patient experience with telemedicine is diverse among the HNC population. Notably, patients with thyroid cancer had overall better experience and were identified to be more appropriate for telemedicine compared with other patients with HNC. Future research that optimizes patient experience and selection is needed to ensure successful integration of telemedicine into routine oncology practice.

Laryngectomy in Elderly Patients: A Case Series and Review of the Literature.

Background and objective Patients over the age of 75 years make up 20% of the head and neck cancer population, which is a relatively under-represented patient cohort in clinical literature. To our knowledge, there are no studies evaluating the outcomes of laryngectomy in patients aged over 75 years, which prompted us to present this unique series. Methods We reviewed departmental records at the University College Hospital,London over a 10-year period, and identified a total of 18 patients over the age of 75 years who underwent total laryngectomy for squamous cell carcinoma. We evaluated the demographic, clinical, and histopathologic features and outcomes for each patient. Results The age of the cohort ranged from 75 to 90 years, with a mean age of 79.8 years. All patients had a Charlson Comorbidity Index (CCI) score of 3 or more (due to age), with a mean of 4.7, and a maximum score of 8 for two patients. Length of inpatient stay varied significantly, ranging from 20 to 149 days, with a mean of 46 days. We identified 14 patients who underwent laryngectomy prior to September 2017, in whom the five-year survival was 21.4%. The three-year survival rate for all patients was 22.2%. In bivariate analysis, advanced age at surgerypositively correlated with increased length of hospital admission and increased incidence of complications, although these results were not statistically significant (p<0.05). Conclusions Our study highlights the significance of the impact of age and comorbidities on postoperative outcomes and sheds light on the unique challenges faced by an ageing population. Careful consideration must be made in terms of appropriate patient selection, and clinicians must offer a robust and tailored approach to elderly care.

Minimum detectable change in occlusal load – normative data for healthy and head and neck cancer populations

Traditionally, pain has been a signal to de-intensify jaw exercises for trismus to prevent tissue damage. It is unknown whether patients who have undergone surgery or radiotherapy for head and neck cancer have sufficient sensation to detect changes in occlusal load. This study sought to compare the minimum detectable occlusal load in a cohort of patients with head and neck cancer (HNC) and compare this with healthy controls. Twenty patients who were treated for HNC and 20 healthy controls were recruited from a single institution. A purpose-built pressure transducer was used to measure the minimum detectable force (measured in Newtons) applied to the jaw and the interincisal distance. Analysis was conducted using a mixed effects linear regression. The mean minimum detectable occlusal load in patients with HNC was 18.7N compared to 4.5N in healthy controls (mean difference 14.3N, 95% CI 12.2N to 16.4N, p < 0.001). Adjusted IID predicted force (0.15N per-mm IID, 95% CI 0.09 to 0.2, p < 0.001) with a weak interaction between treatment with radiotherapy and IID in HNC patients (p = 0.85). Patients who have been treated for HNC are less sensitive to changes in force applied to the jaw. This is concerning given that most jaw stretching devices use an unregulated and unknown amount of force to achieve greater mouth opening.

5-Aminolevulinic Acid Fluorescence-Guided Surgery in Head and Neck Squamous Cell Carcinoma.

To determine the utility of 5-aminolevulinic acid (5-ALA) fluorescence for resection of head and neck carcinoma. In this prospective pilot trial, 5-ALA was administered as an oral suspension 3-5 h prior to induction of anesthesia for resection of head and neck squamous cell carcinoma (HNSCC). Following resection, 405 nm blue light was applied, and fluorescence of the tumor as well as the surgical bed was recorded. Specimen fluorescence intensity was graded categorically as none (score = 0), mild (1), moderate (2), or robust (3) by the operating surgeon intraoperatively and corroborated with final pathologic diagnosis. Seven patients underwent resection with 5-ALA. Five (83%) were male with an age range of 33-82 years (mean = 60). Sites included nasal cavity (n = 3), oral cavity (n = 3), and the larynx (n = 1). All specimens demonstrated robust fluorescence when 5-ALA was administered 3-5 h preoperatively. 5-ALA fluorescence predicted the presence of perineural invasion, a positive margin, and metastatic lymphadenopathy. Two patients had acute photosensitivity reactions, and one patient had a temporary elevation of hepatic enzymes. 5-ALA induces robust intraoperative fluorescence of HNSCC, capable of demonstrating a positive margin, perineural invasion, and metastatic nodal disease. Although no conclusions are there about the safety of this drug in the head and neck cancer population, our study parallels the extensive safety data in the neurosurgical literature. Future applications may include intraoperative assessment of margin status, diagnostic accuracy, and impacts on survival. 4 Laryngoscope, 134:741-748, 2024.

Lung Cancer Screening in Head and Neck Cancer Patients: An Untapped Opportunity

BackgroundDespite evidence demonstrating that lung cancer screening (LCS) decreases mortality, widespread implementation is lagging. Efforts to identify and recruit patients for LCS are in need. Candidacy for LCS is based on identifiable risk factors, many of which overlap with those of head and neck malignancies. Thus, we aimed to evaluate the prevalence of candidacy for LCS in the head and neck cancer patient population. MethodsWe performed a review of anonymous surveys collected from patients who presented to a head and neck cancer clinic. Variables collected from these surveys included age, biologic sex, smoking history, and head and neck cancer history. Patients’ candidacy for screening was determined, and descriptive analyses were performed. ResultsA total of 321 patient surveys were reviewed. Mean age was 63.7 years, and 195 (60.7%) were men. In this sample, 19 (5.91%) were current smokers, and 112 (34.9%) were former smokers, having quit an average of 19.4 years prior to completing the survey. Average pack-years was 29.3. Of the 321 patients surveyed, 60 (18.7%) would qualify for LCS using current guidelines. However, among those 60 patients who qualified for LCS, only 15 (25%) patients had been offered screening and only 14 (23.3%) had been screened. ConclusionsWe have importantly demonstrated both a substantial prevalence of candidacy for LCS in the head and neck cancer population as well as disappointingly low levels of screening utilization in this group of patients. We have identified this setting as a key patient population that ought to be targeted for information about and access to LCS.

Machine Learning and Nomogram Prognostic Modeling for 2-Year Head and Neck Cancer-Specific Survival Using Electronic Health Record Data: A Multisite Study.

There is limited knowledge of the prediction of 2-year cancer-specific survival (CSS) in the head and neck cancer (HNC) population. The aim of this study is to develop and validate machine learning models and a nomogram for the prediction of 2-year CSS in patients with HNC using real-world data collected by major teaching and tertiary referral hospitals in New South Wales (NSW), Australia. Data collected in oncology information systems at multiple NSW Cancer Centres were extracted for 2,953 eligible adults diagnosed between 2000 and 2017 with squamous cell carcinoma of the head and neck. Death data were sourced from the National Death Index using record linkage. Machine learning and Cox regression/nomogram models were developed and internally validated in Python and R, respectively. Machine learning models demonstrated highest performance (C-index) in the larynx and nasopharynx cohorts (0.82), followed by the oropharynx (0.79) and the hypopharynx and oral cavity cohorts (0.73). In the whole HNC population, C-indexes of 0.79 and 0.70 and Brier scores of 0.10 and 0.27 were reported for the machine learning and nomogram model, respectively. Cox regression analysis identified age, T and N classification, and time-corrected biologic equivalent dose in two gray fractions as independent prognostic factors for 2-year CSS. N classification was the most important feature used for prediction in the machine learning model followed by age. Machine learning and nomogram analysis predicted 2-year CSS with high performance using routinely collected and complete clinical information extracted from oncology information systems. These models function as visual decision-making tools to guide radiotherapy treatment decisions and provide insight into the prediction of survival outcomes in patients with HNC.

A Comprehensive Prehabilitative Model of Care for Head and Neck Cancer Survivors: A Scoping Review

<h3>Objective(s)</h3> Primary: To investigate if prehabilitation in head and neck cancer (HNC) populations reduces the severity and incidence of cancer treatment sequelae. Secondary: To investigate evidence-based prehabilitative methods resulting in best occupational outcomes in terms of participation, quality of life, and role satisfaction. <h3>Data Sources</h3> Methods included manual searches through catalogued topics (Cancer) and basic searches for level I articles (Cochrane Library and PEDro), advanced database searches for level II and qualitative articles (PEDro, PubMed, CINAHL, and APA PsychInfo). Limiters included publication date of 2000 or after, English, and full-text availability. Citation chaining was completed using GoogleScholar. <h3>Study Selection</h3> Studies addressing at least one component of the PICO questions (HNC survivors; prehabilitation, occupational therapy; usual care; and occupational performance) were selected for detailed review by the first author. Articles were prioritized if intervention was initiated prior to, during, or within the first year of cancer treatment. <h3>Data Extraction</h3> During detailed review, the citation, article/publication type, purpose, methods, results, conclusions, and recommendations of each article were logged in a literature matrix. Key concepts and direct quotes were grouped together. Themes were developed from these groups and reviewed by project mentors and co-authors. <h3>Data Synthesis</h3> Forty-three articles were included in the final review. There are a number of unmet physical, emotional, informational, and financial needs among HNC survivors. Patients who are single, widowed, live in rural areas, and/or younger tend to report greater negative effects on daily life. Programs focusing on education, self-management, and prospective screening for ongoing rehabilitation needs are most effective in terms of quality of life, lymphedema, dysphagia, fatigue, and shoulder dysfunction. There is a distinct gap noted in the HNC research pertaining to multi-factorial intervention, such as returning to work. <h3>Conclusions</h3> Prehabilitation overall lessens the severity and incidence of cancer treatment sequelae in patients with HNC. Themes developed center on the patient's experience; education needs; and what, when, and how intervention should be provided. Further research investigating participation-based outcomes and the role of OT is recommended. <h3>Author(s) Disclosures</h3> None.

GLIM in diagnosing malnutrition and predicting outcome in ambulatory patients with head and neck cancer.

This study aimed to determine the prevalence of malnutrition in a head and neck cancer (HNC) population according to the Global Leadership Initiative on Malnutrition (GLIM) criteria and to assess its relation to survival. The secondary aim was to compare GLIM criteria to Patient-Generated Subjective Global Assessment (PG-SGA) and Nutritional Risk Screening 2002 (NRS 2002) methods. The assessment was performed in a series of 65 curative patients with newly diagnosed HNC in a nutrition intervention study. Malnutrition was defined as PG-SGA classes BC and nutritional risk as NRS 2002 score ≥3 and was retrospectively diagnosed with GLIM criteria in prospectively collected data at diagnosis. Sensitivity, specificity, and kappa (κ) were analyzed. Predictive accuracy was assessed by calculating the area under curve (AUC) b y receiver operating characteristic (ROC) analysis. Kaplan-Meier and Cox regression analyses were used to evaluate association between malnutrition and overall survival (OS), and disease-free survival (DFS). GLIM-defined malnutrition was present in 37% (24/65) of patients. The GLIM showed 77% sensitivity and 84% specificity with agreement of κ = 0.60 and accuracy of AUC = 0.80 (p < 0.001) with PG-SGA and slightly higher sensitivity (83%) with NRS 2002 (κ = 0.58). Patients with GLIM-defined malnutrition had shorter OS (56 vs. 72 months, HR 2.26, 95% CI 1.07-4.77, p = 0.034) and DFS (37 vs. 66 months, HR 2.01, 95% CI 0.99-4.09, p = 0.054), than well-nourished patients. The adjusted HR was 2.53 (95% CI 1.14-5.47, p = 0.023) for OS and 2.10 (95% CI 0.98-4.48, p = 0.056) for DFS in patients with GLIM-defined malnutrition. A substantial proportion of HNC patients were diagnosed with malnutrition according to the GLIM criteria and this showed a moderate agreement with NRS 2002- and PG-SGA-defined malnutrition. Even though the GLIM criteria had strong association with OS, its diagnostic value was poor. Therefore, the GLIM criteria seem potential for malnutrition diagnostics and outcome prediction in the HNC patient population. Furthermore, NRS 2002 score ≥3 indicates high nutritional risk in this patient group.

Empirical comparison of routinely collected electronic health record data for head and neck cancer-specific survival in machine-learnt prognostic models.

Knowledge of the prognostic factors and performance of machine learning predictive models for 2-year cancer-specific survival (CSS) is limited in the head and neck cancer (HNC) population. Data from our facilities' oncology information system (OIS) collected for routine practice (OIS dataset, n=430 patients) and research purposes (research dataset, n=529 patients) were extracted on adults diagnosed between 2000 and 2017 with squamous cell carcinoma of the head and neck. Machine learning demonstrated excellent performance (area under the curve, AUC) in the whole cohort (AUC=0.97, research dataset), larynx cohort (AUC=0.98, both datasets), and oropharynx cohort (AUC=0.99, both datasets). Tumor site and T classification were identified as predictors of 2-year CSS in both datasets. Hypothyroidism and fitness for operation were further identified in the research dataset. Datasets extracted from an OIS for routine clinical practice and research purposes demonstrated high utility for informing 2-year head and neck CSS.

Head and neck cancer surgery in elderly patients: the role of frailty assessment.

To study whether any risk model, frailty index, patients' comorbidities, or demographic characteristics correlate with postoperative morbidity in elderly patients who underwent surgery for head and neck cancer (HNC). A secondary objective was to compare between frailty indexes that are used at our medical center. A retrospective analysis of head and neck cancer patients operated between 2007 and 2021 was performed. One hundred and fifteen patients were included and divided into three age groups: 50-69years, 70-79years and ≥ 80years. Although most elderly patients had a significantly higher rate of comorbidities and lower Norton scores, no statistically significant difference was found between the groups in postoperative morbidity rates, intensive care unit (ICU) or internal medicine department admissions, re-hospitalization in 1-3months, and in falling risk (MFS-Morse Fall Scale). On multivariate analysis there was a positive correlation between preoperative cerebrovascular accident (CVA), dementia, and cardiac arrhythmias, and the probability for developing postoperative complication. The latter findings were not related to the patients' age. In this study, we did not find higher postoperative morbidity rates among elderly population in comparison to younger age groups, and therefore, our current evaluation system could not assist in identifying elderly at risk. However, prediction of operative risk based on physiologic reserve or frailty is an important tool in the evaluation of elderly head and neck cancer patients. Future studies are needed to assess the role of frailty index in the elderly head and neck cancer population.

Survivorship Care Plans Improve the Identification of Post-radiation Hypothyroidism After Head and Neck Cancer Treatment.

Survivorship care programs (SCPs) educate patients on post-treatment side-effects, which may lead to earlier identification and mitigation of their impact. This study assessed the impact of SCP on identification and management of post-treatment hypothyroidism in a head and neck cancer population and evaluated socio-demographic factors in the effectiveness of SCPs. A retrospective analysis was performed of sociodemographic and clinical characteristics of patients with head and neck cancer treated with radiation therapy between January 2011 and January 2019 at a large community cancer institution. Development of hypothyroidism was defined as elevated thyroid-stimulating hormone (TSH) or initiation of supplementation post-treatment. Cumulative incidence of hypothyroidism was analyzed with Gray's method. Of 608 patients, 483 (79%) had post-treatment TSH surveillance. A total of 203 (42%) of those patients developed hypothyroidism; 53 (11%) patients completed SCPs. The median follow-up was 1.4 (interquartile range=0.7-2.6) years with a median time until diagnosis of hypothyroidism of 1.2 (interquartile range=0.7-2.1) years. The median time to diagnosis was 12.0 months with SCP versus 14.2 months without. Race and insurance status were not associated with differences in thyroid surveillance. Patients with laryngeal cancer were at greatest risk of developing hypothyroidism (hazard ratio=1.92, confidence interval=1.44-2.56; p<0.077). Cumulative incidence of post-treatment hypothyroidism was higher in patients managed with SCP, 65.4% at 4 years, compared to those without (49.0%). Receipt of SCP was independently associated with an increased incidence of hypothyroidism detection (hazard ratio=1.51, confidence interval=1.04-2.20; p=0.030). In our experience, SCP utilization was independently associated with a diagnosis of hypothyroidism. This study supports implementation of a survivorship program for identification and management of post-treatment sequelae.

An investigation of the cutoff point of the English version of speech handicap index in the American total laryngectomees

Objectives The present article aims to identify the optimal cutoff score and the diagnostic accuracy for the English version of Speech Handicap Index (SHI) to screen out individuals with and without speech disorders in daily life. Materials and methods In this cross-sectional cohort study, a volunteer sample of 104 adult patients after total laryngectomy and 99 healthy controls in the United States completed the English version of SHI online questionnaire. Sensitivity and specificity were computed for a range of cut-off values using the Receiving Operating Characteristics (ROC) analysis to establish an optimal cutoff point for the SHI. Other measures of diagnostic accuracy, such as likelihood ratios (LR), positive predictive values (PPV), and negative predictive values (NPV) were also computed. Results Patients after total laryngectomy obtained a higher score than the healthy controls on the mean scores of SHI. According to the ROC analysis, an optimal cutoff score of 17 points determined by Youden index was identified on the head and neck cancer population with a sensitivity of 92.31%, specificity of 92.31%, PPV of 90.60%, NPV of 91.75%, LR + of 9.14, and LR- of 0.09. Conclusions The cutoff score of the English version of SHI applied on the English-speaking population in the United States demonstrated promising diagnostic accuracy.

Disadvantaged Subgroups Within the Global Head and Neck Cancer Population: How Can We Optimize Care?

Within the global head and neck cancer population, there are subgroups of patients with poorer cancer outcomes independent from tumor characteristics. In this article, we review three such groups. The first group comprises patients with nasopharyngeal cancer in low- and middle-income countries where access to high-volume, well-resourced radiotherapy centers is limited. We discuss a recent study that is aiming to improve outcomes through the instigation of a comprehensive radiotherapy quality assurance program. The second group comprises patients with low socioeconomic status in a high-income country who experience substantial financial toxicity, defined as financial hardship for patients due to health care costs. We review causes and consequences of financial toxicity and discuss how it can be mitigated. The third group comprises older patients who may poorly tolerate and not benefit from intensive standard-of-care treatment. We discuss the role of geriatric assessment, particularly in relation to the use of chemotherapy. Through better recognition and understanding of disadvantaged groups within the global head and neck cancer population, we will be better placed to instigate the necessary changes to improve outcomes and quality of life for patients with head and neck cancer.

Management of Older Adults with Locally Advanced Head and Neck Cancer.

Simple SummaryApproximately one third of patients with head and neck cancer are older adults. The number of older adults with head and neck cancer continues to rise especially as life expectancy increases. However, this population remains significantly underrepresented in clinical trials. Due to this, there is no clear consensus regarding the optimal treatment for older adults with head and neck cancer. In general, older adults are a complex cohort due to variations in functional and performance status, medical comorbidities, and medication management. Treatment for head and neck cancer involves surgery, radiation therapy, systemic therapy, or a combination. These treatments are highly demanding. Additionally, they are associated with toxicity which can be especially difficult for older adults to tolerate. This may lead to treatment interruptions and compromised outcomes. In order to understand the optimal treatment for older adults with head and neck cancer, novel predictive scores are being developed. Additionally, ongoing clinical trials are investigating less intensive treatments for older adults. This review provides an overview of current clinical data, treatment considerations, and future areas of investigation for older adults with head and neck cancer.Thirty percent of patients with head and neck squamous cell carcinoma (HNSCC) are at least 70 years of age. This number continues to rise as life expectancy continues to increase. Still, older adults with HNSCC remain underrepresented in clinical trials, resulting in ambiguity on optimal management. Older adults are a complex patient population, often requiring increased support due to issues relating to functional and performance status, medical comorbidities, and medication management. Furthermore, in older adults with HNSCC, many of these conditions are independently associated with increased toxicity and worse outcomes. Toxicity in the older adult remains difficult to predict and to understand, and as treatment decisions are based on treatment tolerability, it is essential to understand the toxicities and how to minimize them. Novel predictive scores are being developed specifically for older adults with HNSCC to understand toxicity and to assist in personalized treatment decisions. There are clinical trials presently underway that are investigating shortened radiation courses and novel, less toxic systemic treatments in this population. In the forthcoming sections, we provide a detailed overview of the clinical data, treatment paradigms, and considerations in this population. This review provides a comprehensive overview of existing clinical data and clinical considerations in the older adult head and neck cancer population. Additionally, we provide a detailed overview of pertinent current and ongoing clinical trials, as well as future areas for investigation.

The association between the severity of periodontitis and osteonecrosis of the jaw in patients with different cancer locations: a nationwide population-based study.

To determine the relation between the severity of periodontitis and osteonecrosis of the jaw (ONJ) occurrence among different cancer locations and estimate the effect of dental care on ONJ prevention in cancer patients. This population-based cross-sectional study was conducted through the Longitudinal Health Insurance Database, Taiwan. Patients with malignancies were collected and subdivided into groups according to their different cancer locations, the severity of periodontitis, and dental care. Multivariable logistic regression analysis was performed to assess the associations between ONJ and ONJ-related factors. A total of 8,234 ONJ patients and 32,912 control patients were investigated. Lip, oral cavity, and pharynx malignancies had the highest ONJ risk among all cancer locations (OR from 3.07 to 9.56, P < 0.01). There is a linear relationship between different severities of periodontitis and ONJ. Patients with radiotherapy and severe periodontitis had the highest ONJ risk (adjusted OR, 9.56; 95% CI, 5.34-17.1). Patients with good dental care had a lower ONJ risk. The periodontal condition and cancer location showed a significant impact on the risk of developing ONJ after adjusting for bisphosphonate use. Good dental care could decrease the risk of ONJ in cancer patients. The severity of periodontitis might be a target to predict the potency of ONJ. Dentists must be vigilant about the increased risk of ONJ in cancer patients with periodontitis, especially in the head and neck cancer population. Good dental care is advised for cancer patients with severe periodontitis.

Validity Testing of the Head and Neck Lymphedema and Fibrosis Symptom Inventory.

Background: Lack of reliable and valid tools significantly impacts early identification and timely treatment of lymphedema and fibrosis (LEF) in the head and neck cancer population. To address this need, we developed and reported a patient-reported outcome measure (Head and Neck Lymphedema and Fibrosis Symptom Inventory [HN-LEF SI]). This article reports the construct validity (convergent and divergent validity) testing of the tool. Materials and Methods: A prospective, longitudinal, instrument validation study was conducted in patients with a newly diagnosed oral cavity or oropharyngeal cancer. Participants completed the HN-LEF SI and six carefully selected self-report measures at pretreatment, end-of-treatment, and every 3 months up to 12 months after treatment. Spearman correlations were used. Results: A total of 117 patients completed the study. Patterns of correlations of the HN-LEF SI scores with the established self-report measure scores were consistent with expected convergent and divergent validity. Conclusion: Evidence from this work supports the construct validity of the HN-LEF SI.