Disparities in head and neck cancer incidence and trends by race/ethnicity and sex

3D modeling of anterior 2/3rds glossectomy reconstruction: A volume based donor site evaluation

OBJECTIVE

Anterior 2/3rds glossectomy results in significant patient morbidity due to speech and swallowing impairment. Microvascular free flap reconstruction compensates for large volume defects. Flap volume is based on the adipose content of the donor site and varies by patient body mass index (BMI) and donor site location. We sought to correlate flap thickness at different donor sites with patient BMI to determine optimal donor site selection.

METHODS

Patients with CT scans of the oral cavity, thorax and lower extremity were identified and included. The volumes of the anterior 2/3rds of the tongue were measured and recorded using computed tomography-generated modeling. Pre-muscular tissue thicknesses at anterolateral thigh (ALT), deep inferior epigastric artery (DIEP), latissimus dorsi, and parascapular donor sites were measured. The donor site adequency was defined as reconstructing the tongue volume within 10% of the ideal volume required and stratified based on patient BMI.

RESULTS

In 144 patients, the average anterior 2/3rds glossectomy defect was 100.3 cm3. Glossectomy defect size was highly correlated with BMI (p < 0.001). The DIEP flap had the largest volume (155.4 cm3), followed by latissimus (105.6 cm3), parascapula (97.8 cm3), and ALT (60.5 cm3). For patients with BMI ≤ 30, the DIEP flap best reconstructed native tongue volume (up to 113 % of native tongue volume). In patients with BMI > 30.1, native tongue volumes were approximated by the latissimus flap (89-92 % of native tongue) and parascapular flap (85-95 % of native tongue volume). In BMI > 30.1 the DIEP flap provided excess tissue bulk (129-135 % of native tongue volume).

CONCLUSION

The DIEP flap more closely approximates the volume needed to reconstruct anterior two-thirds tongue defects for BMIs ≤ 30. The subscapular system flaps provided the best volume match for BMIs > 30 and the DIEP flap provided excess tissue bulk which could be adjusted in the reconstruction process.

Perspectives on Referral Pathways for Timely Head and Neck Cancer Care

Importance

Timely diagnosis and treatment are of paramount importance for patients with head and neck cancer (HNC) because delays are associated with reduced survival rates and increased recurrence risk. Prompt referral to HNC specialists is crucial for the timeliness of care, yet the factors that affect the referral and triage pathway remain relatively unexplored. Therefore, to identify barriers and facilitators of timely care, it is important to understand the complex journey that patients undertake from the onset of HNC symptoms to referral for diagnosis and treatment.

Objective

To investigate the referral and triage process for patients with HNC and identify barriers to and facilitators of care from the perspectives of patients and health care workers.

Design, Participants, and Setting

This was a qualitative study using semistructured interviews of patients with HNC and health care workers who care for them. Participants were recruited from June 2022 to July 2023 from HNC clinics at 2 tertiary care academic medical centers in Boston, Massachusetts. Data were analyzed from July 2022 to December 2023.

Main Outcomes and Measures

Themes identified from the perspectives of both patients and health care workers on factors that hinder or facilitate the HNC referral and triage process.

Results

In total, 72 participants were interviewed including 42 patients with HNC (median [range] age, 60.5 [19.0-81.0] years; 27 [64%] females) and 30 health care workers (median [range] age, 38.5 [20.0-68.0] years; 23 [77%] females). Using thematic analysis, 4 major themes were identified: the HNC referral and triage pathway is fragmented; primary and dental care are critical for timely referrals; efficient interclinician coordination expedites care; and consistent patient-practitioner engagement alleviates patient fear.

Conclusions and Relevance

These findings describe the complex HNC referral and triage pathway, emphasizing the critical role of initial symptom recognition, primary and dental care, patient information flow, and interclinician and patient-practitioner communication, all of which facilitate prompt HNC referrals.

Racial Disparities in Head and Neck Cancer: It's Not Just About Access

OBJECTIVE

Medical literature identifies stark racial disparities in head and neck cancer (HNC) in the United States, primarily between non-Hispanic white (NHW) and non-Hispanic black (NHB) populations. The etiology of this disparity is often attributed to inequitable access to health care and socioeconomic status (SES). However, other contributors have been reported. We performed a systematic review to better understand the multifactorial landscape driving racial disparities in HNC.

DATA SOURCES

A systematic review was conducted in Covidence following Preferred Reporting Items for Systematic Reviews and Meta-analyses Guidelines. A search of PubMed, SCOPUS, and CINAHL for literature published through November 2022 evaluating racial disparities in HNC identified 2309 publications.

REVIEW METHODS

Full texts were screened by 2 authors independently, and inconsistencies were resolved by consensus. Three hundred forty publications were ultimately selected and categorized into themes including disparities in access/SES, treatment, lifestyle, and biology. Racial groups examined included NHB and NHW patients but also included Hispanic, Native American, and Asian/Pacific Islander patients to a lesser extent.

RESULTS

Of the 340 articles, 192 focused on themes of access/SES, including access to high-quality hospitals, insurance coverage, and transportation contributing to disparate HNC outcomes. Additional themes discussed in 148 articles included incongruities in surgical recommendations, tobacco/alcohol use, human papillomavirus-associated malignancies, and race-informed silencing of tumor suppressor genes.

CONCLUSION

Differential access to care plays a significant role in racial disparities in HNC, disproportionately affecting NHB populations. However, there are other significant themes driving racial disparities. Future studies should focus on providing equitable access to care while also addressing these additional sources of disparities in HNC.

Examination of Predictors of Pain at 12 Months Postdiagnosis in Head and Neck Cancer Survivors

OBJECTIVE

Pain following the completion of treatment is important but has received less attention in the head and neck cancer (HNC) literature. The present study sought to examine the prevalence and predictors of pain measured 12 months postdiagnosis and its impact on HNC-specific health-related quality of life (HRQOL) in 1038 HNC survivors.

STUDY DESIGN

Prospective observational study.

SETTING

Single-institution tertiary care center.

METHODS

Pain was measured using a single item ranging from 0 to 10 with 0 representing no pain and 10 representing the worst pain possible. Self-reported depressive symptomatology was measured using the Beck Depression Inventory and self-reported problem alcohol use was measured by the Short Michigan Alcoholism Screening Test. HNC-specific HRQOL was measured using the Head and Neck Cancer Inventory (HNCI).

RESULTS

Hierarchical multivariable linear regression analyses indicated that in addition to pain at 3 months postdiagnosis (β = .145, t = 3.18, sr2  = .019, p = .002), both depressive symptomatology (β = .110, t = 2.49, sr2  = .011, p = .015) and problem alcohol use (β = .092, t = 2.07, sr2  = .008, p = .039) were significant predictors of pain at 12 months postdiagnosis. Subgroup analyses suggest that across all 4 HNCI domains, those in the moderate and severe pain groups at 12 months postdiagnosis failed to reach 70 which is indicative of high functioning.

CONCLUSION

Pain in patients with HNC is a considerable issue at 12 months postdiagnosis, deserving further attention. Behavioral factors such as depression and problem alcohol use may be associated with pain and require systematic screening over time to identify and treat issues that impact optimal long-term recovery from HNC, including disease-specific HRQOL.

Deep learning algorithm performance in contouring head and neck organs at risk: a systematic review and single-arm meta-analysis

PURPOSE

The contouring of organs at risk (OARs) in head and neck cancer radiation treatment planning is a crucial, yet repetitive and time-consuming process. Recent studies have applied deep learning (DL) algorithms to automatically contour head and neck OARs. This study aims to conduct a systematic review and meta-analysis to summarize and analyze the performance of DL algorithms in contouring head and neck OARs. The objective is to assess the advantages and limitations of DL algorithms in contour planning of head and neck OARs.

METHODS

This study conducted a literature search of Pubmed, Embase and Cochrane Library databases, to include studies related to DL contouring head and neck OARs, and the dice similarity coefficient (DSC) of four categories of OARs from the results of each study are selected as effect sizes for meta-analysis. Furthermore, this study conducted a subgroup analysis of OARs characterized by image modality and image type.

RESULTS

149 articles were retrieved, and 22 studies were included in the meta-analysis after excluding duplicate literature, primary screening, and re-screening. The combined effect sizes of DSC for brainstem, spinal cord, mandible, left eye, right eye, left optic nerve, right optic nerve, optic chiasm, left parotid, right parotid, left submandibular, and right submandibular are 0.87, 0.83, 0.92, 0.90, 0.90, 0.71, 0.74, 0.62, 0.85, 0.85, 0.82, and 0.82, respectively. For subgroup analysis, the combined effect sizes for segmentation of the brainstem, mandible, left optic nerve, and left parotid gland using CT and MRI images are 0.86/0.92, 0.92/0.90, 0.71/0.73, and 0.84/0.87, respectively. Pooled effect sizes using 2D and 3D images of the brainstem, mandible, left optic nerve, and left parotid gland for contouring are 0.88/0.87, 0.92/0.92, 0.75/0.71 and 0.87/0.85.

CONCLUSIONS

The use of automated contouring technology based on DL algorithms is an essential tool for contouring head and neck OARs, achieving high accuracy, reducing the workload of clinical radiation oncologists, and providing individualized, standardized, and refined treatment plans for implementing "precision radiotherapy". Improving DL performance requires the construction of high-quality data sets and enhancing algorithm optimization and innovation.

Risk of head and neck cancer in relation to blood inflammatory biomarkers in the Swedish AMORIS cohort

Background

Inflammation is critically involved in the development of human cancer, and blood inflammatory biomarkers have been proposed to indicate the risk of different cancer types.

Methods

Using the Swedish Apolipoprotein-Related Mortality Risk (AMORIS) Cohort (N=812,073), we first performed a time-to-event analysis to evaluate the association of the baseline level of 12 blood inflammatory biomarkers measured during 1985-1996 with the subsequent risk of head and neck cancer (HNC) identified through the nationwide Swedish Cancer Register until end of 2020. A nested case-control study was further conducted to demonstrate the longitudinal trends of the studied biomarkers during the 30-year period prior to diagnosis of HNC.

Results

In the time-to-event analysis, we identified a total of 2,510 newly diagnosed HNC cases. There was an increased risk of HNC per standard deviation (SD) increase of haptoglobin (hazard ratio [HR]: 1.25; 95% confidence interval [CI]: 1.21-1.30), leukocytes (HR: 1.22; 95%CI: 1.17-1.28), sedimentation rate (HR: 1.17; 95%CI: 1.07-1.29), and monocytes (HR: 1.34; 95%CI: 1.07-1.68) at baseline, after adjustment for age, sex, fasting status, occupational status, and country of birth. In contrast, there was a decreased risk of HNC per SD increase of lymphocytes in % (HR: 0.85; 95%CI: 0.73-0.99) and lymphocyte-to-monocyte ratio (LMR) (HR: 0.81; 95%CI: 0.69-0.95) at baseline. In the nested case-control study using repeatedly measured biomarker levels, we found that individuals with HNC had consistently higher levels of haptoglobin, leukocytes, sedimentation rate, and monocytes, as well as consistently lower levels of lymphocytes in % and LMR, during the 30-year period prior to diagnosis, compared to controls.

Conclusion

Based on a cohort of more than half a million participants with up to 35 years of follow-up, our findings provide solid evidence supporting the presence of alterations in blood inflammatory biomarkers during the decades before diagnosis of HNC.

Healthcare Disparities in Otolaryngology

Purpose of Review

The purpose of this review is to summarize some of the recent research studies on healthcare disparities across various subspecialties within otolaryngology. This review also highlights the impact of COVID-19 pandemic on disparities and proposes potential interventions to mitigate disparities.

Recent Findings

Significant healthcare disparities in care and treatment outcomes have been reported across all areas of otolaryngology. Notable differences in survival, disease recurrence, and overall mortality have been noted based on race, ethnicity, socioeconomic status (SES), insurance status, etc. This is most well-researched in head and neck cancer (HNC) within otolaryngology.

Summary

Healthcare disparities have been identified by numerous research studies within otolaryngology for many vulnerable groups that include racial and ethnic minority groups, low-income populations, and individuals from rural areas among many others. These populations continue to experience suboptimal access to timely, quality otolaryngologic care that exacerbate disparities in health outcomes.