MRC Clinical Trials Unit at UCL
90 High Holborn
2nd Floor
London
WC1V 6LJ
Email: mrcctu.archery@ucl.ac.uk
The first half of 2024 has seen ARCHERY discussed or referenced in several publications! Find out more about these papers and links to where you can read them below. All publications related to ARCHERY are listed on our Publications page.
January 2024: Clinical research for global needs of radiation oncology - Journal of the European Society for Radiotherapy and Oncology
"Research in radiation oncology may have additional positive impact for cancer patients worldwide by addressing global needs, frameworks and resources. Conversely, rapid scientific advances have the potential to further exacerbate existing disparities in access to high quality cancer care between LMIC and HIC [2]. A recent review by Jaffrey and colleagues of the status of RT discussed how the global radiation oncology community could formulate a more integrative ‘diagonal approach’, in which the agendas of science-driven advances in individual outcomes and the socio-technological task of global cancer control can be aligned to bring the benefits of RT to cancer patients everywhere [3]. This 2024 Radiotherapy & Oncology New Year’s Editorial looks at some contemporary examples of such a diagonal approach for global impact, with a focus on clinical research and trials."
May 2024: Prospective evaluation of artificial intelligence (AI) applications for use in cancer pathways following diagnosis: a systematic review - BMJ Oncology
"The role of artificial intelligence (AI) in cancer care has evolved in the face of ageing population, workforce shortages and technological advancement. Despite recent uptake in AI research and adoption, the extent to which it improves quality, efficiency and equity of care beyond cancer diagnostics is uncertain to date. Henceforth, the objective of our systematic review is to assess the clinical readiness and deployability of AI through evaluation of prospective studies of AI in cancer care following diagnosis.
We undertook a systematic review to determine the types of AI involved and their respective outcomes. A PubMed and Web of Science search between 1 January 2013 and 1 May 2023 identified 15 articles detailing prospective evaluation of AI in postdiagnostic cancer pathway. We appraised all studies using Risk of Bias Assessment of Randomised Controlled Trials and Risk of Bias In Non-randomised Studies-of Interventions quality assessment tools, as well as implementational analysis concerning time, cost and resource, to ascertain the quality of clinical evidence and real-world feasibility of AI."
June 2024: Addressing challenges in low-income and middle-income countries through novel radiotherapy research opportunities - The Lancet
"Although radiotherapy continues to evolve as a mainstay of the oncological armamentarium, research and innovation in radiotherapy in low-income and middle-income countries (LMICs) faces challenges. This third Series paper examines the current state of LMIC radiotherapy research and provides new data from a 2022 survey undertaken by the International Atomic Energy Agency and new data on funding. In the context of LMIC-related challenges and impediments, we explore several developments and advances—such as deep phenotyping, real-time targeting, and artificial intelligence—to flag specific opportunities with applicability and relevance for resource-constrained settings. Given the pressing nature of cancer in LMICs, we also highlight some best practices and address the broader need to develop the research workforce of the future. This Series paper thereby serves as a resource for radiation professionals."
ARCHERY Study
MRC Clinical Trials Unit at UCL
90 High Holborn
2nd Floor
London
WC1V 6LJ
Email: mrcctu.archery@ucl.ac.uk