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• W3100427873 abstract "Madam — The COVID-19 pandemic has significantly disrupted cancer care delivery but can also be a catalyst for an improvement of clinical oncology developments [[1]Coles C.E. Choudhury A. Hoskin P.J. Jones C.M. O’Leary B. Roques T.W. et al.COVID-19: a catalyst for change for UK clinical oncology.Int J Radiat Oncol Biol Phys. 2020; 108: 462-465https://doi.org/10.1016/j.ijrobp.2020.06.041Abstract Full Text Full Text PDF PubMed Scopus (4) Google Scholar]. The Topol Review [[2]National Health ServiceThe Topol Review: preparing the healthcare workforce to deliver the digital future.2019https://topol.hee.nhs.uk/wp-content/uploads/HEE-Topol-Review-2019.pdfGoogle Scholar] has identified artificial intelligence as a potential service disruptor for radiology and oncology. Artificial intelligence models using a deep-learning approach require significant amounts of good quality radiology imaging for training. The National Cancer Research Institute has identified challenges in developing an imaging repository [[3]The National Cancer Research Institute (NCRI)Imaging repositories: identifying challenges and solutions for the coordinated collection, storage and use of images in cancer research.2018https://www.ncri.org.uk/publication/imaging-repositories-identifying-challenges-and-solutions-for-the-coordinated-collection-storage-and-use-of-images-in-cancer-research/Google Scholar]. At present, a very limited imaging database is available within the UK. The National Health Service (NHS) maintains the Diagnostic Imaging Dataset, capturing data of all imaging tests undertaken [[4]NHS England and NHS Improvement Diagnostic imaging dataset statistical release provisional monthly statistics.May 2019https://www.england.nhs.uk/statistics/wp-content/uploads/sites/2/2020/09/Provisional-Monthly-Diagnostic-Imaging-Dataset-Statistics-2020-09-24.pdfGoogle Scholar]. In the year up to May 2020, 40.4 million imaging tests were undertaken in England. However, the Diagnostic Imaging Dataset does not retain the actual images, amounting to lost opportunities. The successful UK Biobank, which has a limited imaging database, had led to many practice changing research. Recently, the National COVID-19 Chest Imaging Database was set up to collect anonymised radiological imaging. This initiative should be a model for the oncology community to develop a cancer imaging repository to facilitate cancer research and artificial intelligence development [[5]National COVID-19 Chest Imaging Database (NCCID).https://www.nhsx.nhs.uk/covid-19-response/data-and-covid-19/national-covid-19-chest-imaging-database-nccid/Google Scholar]. Many technical challenges remain, including data de-identification, data security, patient confidentiality and financial costs. This ambitious undertaking would require buy-in and coordination of all stakeholders. The NHS as a free-at-point of use central healthcare provider should leverage its capability to be a world leader in developing a national imaging repository that has clinical utility and potential to improve cancer research. There is urgency and significant potential benefits of establishing a national cancer imaging repository. Clinical stewardship from the NHS, Royal College of Radiologists and stakeholders are required to facilitate this to fruition. Otherwise, limited availability of imaging for research will continue to be a barrier for artificial intelligence development, disadvantage UK patients and a lost opportunity. The authors declare no conflict of interest." @default.
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• W3100427873 date "2021-03-01" @default.
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• W3100427873 title "The COVID-19 Pandemic as a Catalyst for a National Cancer Imaging Repository: Answering the Topol Review" @default.
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• W3100427873 doi "https://doi.org/10.1016/j.clon.2020.11.002" @default.
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