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This study measured the effectiveness of an in-house designed, cast silicone airway model in addressing the lack of easily accessible, validated transoral laser microsurgery simulation models.
Methods
Participants performed resection of two marked vocal fold lesions on the model. The model underwent face, content and construct validation assessment using a five-point Likert scale questionnaire measuring the mean resection time for each lesion and the completeness of lesion excision. Comparative analyses were performed for these measures.
Results
Thirteen otolaryngologists participated in this study. The model achieved validation threshold on all face and content measures (median, ≥4). Construct validation was demonstrated by the improvement in mean resection time between lesions one and two (86 vs 54 seconds, W = 11, p = 0.017). The mean resection time was lower amongst more senior otolaryngologists (61.5 vs 107.1 seconds, W = 11, p = 0.017).
Conclusion
This synthetic silicone model is a low-cost, easily reproducible, high-fidelity synthetic airway model, demonstrating face, content and construct validity.
The larynx is the second most prevalent subsite for head and neck cancer. Over half of head and neck cancer patients present with advanced disease. We report our regional practices for palliative intent laryngeal squamous cell cancer (SCC).
Methods
Retrospective analysis of patients with laryngeal SCC treated with palliative intent, discussed at the regional head and neck multidisciplinary team meeting from July 2010 to June 2016.
Results
A total of 65 patients were included, of whom 45 per cent had potentially curable disease but were not fit for curative treatment. Nine patients (14 per cent) underwent tracheostomy, with mean survival and hospital stay of 278 and 48 days, respectively. Four patients (6 per cent) underwent debulking surgery with mean survival and hospital stay of 214 and 1 days, respectively.
Conclusion
All palliative treatment measures offered to patients can have an impact on survival and quality of life. Patients should be at the centre of the decision-making process and counselled on the potential impact of interventions.
This study investigates the impact of primary care utilisation of a symptom-based head and neck cancer risk calculator (Head and Neck Cancer Risk Calculator version 2) in the post-coronavirus disease 2019 period on the number of primary care referrals and cancer diagnoses.
Methods
The number of referrals from April 2019 to August 2019 and from April 2020 to July 2020 (pre-calculator) was compared with the number from the period January 2021 to August 2022 (post-calculator) using the chi-square test. The patients’ characteristics, referral urgency, triage outcome, Head and Neck Cancer Risk Calculator version 2 score and cancer diagnosis were recorded.
Results
In total, 1110 referrals from the pre-calculator period were compared with 1559 from the post-calculator period. Patient characteristics were comparable for both cohorts. More patients were referred on the cancer pathway in the post-calculator cohort (pre-calculator patients 51.1 per cent vs post-calculator 64.0 per cent). The cancer diagnosis rate increased from 2.7 per cent in the pre-calculator cohort to 3.3 per cent in the post-calculator cohort. A lower rate of cancer diagnosis in the non-cancer pathway occurred in the cohort managed using the Head and Neck Cancer Risk Calculator version 2 (10 per cent vs 23 per cent, p = 0.10).
Conclusion
Head and Neck Cancer Risk Calculator version 2 demonstrated high sensitivity in cancer diagnosis. Further studies are required to improve the predictive strength of the calculator.
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