METHODS: ARCHERY is a non-randomised prospective study to evaluate the quality and economic impact of AI-based automated radiotherapy treatment planning for cervical, head and neck, and prostate cancers, which are endemic in LMICs, and for which radiotherapy is the primary curative treatment modality. The sample size of 990 patients (330 for each cancer type) has been calculated based on an estimated 95% treatment plan acceptability rate. Time and cost savings will be analysed as secondary outcome measures using the time-driven activity-based costing model. The 48-month study will take place in six public sector cancer hospitals in India (n=2), Jordan (n=1), Malaysia (n=1) and South Africa (n=2) to support implementation of the software in LMICs.
ETHICS AND DISSEMINATION: The study has received ethical approval from University College London (UCL) and each of the six study sites. If the study objectives are met, the AI-based software will be offered as a not-for-profit web service to public sector state hospitals in LMICs to support expansion of high quality radiotherapy capacity, improving access to and affordability of this key modality of cancer cure and control. Public and policy engagement plans will involve patients as key partners.
CASE REPORT: We describe a rare case of BCA of the submandibular gland diagnosed preoperatively using fine needle aspiration cytology in a 60-year-old woman presenting with painless submandibular swelling. The surgery went uneventfully, and the histopathological examination confirmed the diagnosis.
CONCLUSIONS: BCA can be accurately diagnosed only through histological observations due to its resemblance to various benign and malignant salivary and non-salivary gland tumours, which are difficult to biopsy.