A Position Statement on the Utility of Interval Imaging in Standard of Care Brain Tumour Management: Defining the Evidence Gap and Opportunities for Future Research.

To summarise current evidence for the utility of interval imaging in monitoring disease in adult brain tumours, and to develop a position for future evidence gathering while incorporating the application of data science and health economics. Experts in 'interval imaging' (imaging at pre-planned time-points to assess tumour status); data science; health economics, trial management of adult brain tumours, and patient representatives convened in London, UK. The current evidence on the use of interval imaging for monitoring brain tumours was reviewed. To improve the evidence that interval imaging has a role in disease management, we discussed specific themes of data science, health economics, statistical considerations, patient and carer perspectives, and multi-centre study design. Suggestions for future studies aimed at filling knowledge gaps were discussed. Meningioma and glioma were identified as priorities for interval imaging utility analysis. The "monitoring biomarkers" most commonly used in adult brain tumour patients were standard structural MRI features. Interval imaging was commonly scheduled to provide reported imaging prior to planned, regular clinic visits. There is limited evidence relating interval imaging in the absence of clinical deterioration to management change that alters morbidity, mortality, quality of life, or resource use. Progression-free survival is confounded as an outcome measure when using structural MRI in glioma. Uncertainty from imaging causes distress for some patients and their caregivers, while for others it provides an important indicator of disease activity. Any study design that changes imaging regimens should consider the potential for influencing current or planned therapeutic trials, ensure that opportunity costs are measured, and capture indirect benefits and added value. Evidence for the value, and therefore utility, of regular interval imaging is currently lacking. Ongoing collaborative efforts will improve trial design and generate the evidence to optimise monitoring imaging biomarkers in standard of care brain tumour management.

Informations de copyright

Copyright © 2021 Booth, Thompson, Bulbeck, Boele, Buckley, Cardoso, Dos Santos Canas, Jenkinson, Ashkan, Kreindler, Huskens, Luis, McBain, Mills, Modat, Morley, Murphy, Ourselin, Pennington, Powell, Summers, Waldman, Watts, Williams, Grant and Jenkinson.

Déclaration de conflit d'intérêts

TB, speaker’s bureau for AbbVie and Siemens Healthineers. Craig Buckley, Head of Research and Innovation – Siemens Healthineers GB&I. JC, BrainMiner Founder. Involved in machine learning enterprise and business. JK, involved in enterprise and business. MM, BrainMiner Founder. Involved in machine learning enterprise and business. SO, BrainMiner Founder. Involved in machine learning enterprise and business. MP, received payment for consultancy work from Merck not related to cancer. AW, unrestricted educational grant, Bayer Schering, consultancy work and honoraria not related to cancer. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.