UKRI announces £11 million funding for DART lung health project

July 13, 2020

DART (the Integration and Analysis of Data Using Artificial Intelligence to Improve Patient Outcomes with Thoracic Diseases) is the latest project to join the NCIMI programme.

UK Research and Innovation, Cancer Research UK and industry are investing more than £11 million in an Oxford-led artificial intelligence (AI) research programme to improve the diagnosis of lung cancer and other thoracic diseases

Professor Fergus Gleeson at the University of Oxford will lead on a programme of research focusing on accelerating pathways for the earlier diagnosis of lung cancer. Lung cancer is the biggest cause of cancer death in the UK and worldwide, with £307 million/year cost to the NHS in England.

Lung health

The earlier that lung cancer is diagnosed, the more likely that treatment will be successful but currently only 16% patients are diagnosed with the earliest stage of the disease. To address this clinical problem, NHS England is launching a £70 million lung cancer screening pilot programme at 10 sites.

DART

To improve patient care beyond the current screening guidelines, a team of academics from Oxford University, Nottingham University, and Imperial College London; NHS clinicians from Oxford University Hospitals NHS Trust, Nottingham University Hospitals NHS Trust, the Royal Marsden Hospital, the Royal Brompton Hospital, and University College London Hospitals NHS Foundation Trust; and the Roy Castle Lung Cancer Foundation will join forces with three leading industrial partners (Roche Diagnostics, GE Healthcare, Optellum).

Working with the NHS England Lung Health Check programme, clinical, imaging and molecular data will be combined for the first time using AI algorithms with the aim of more accurately and quickly diagnosing and characterising lung cancer with fewer invasive clinical procedures. Algorithms will also be developed to better evaluate risks from comorbidities such as chronic obstructive pulmonary disease (COPD).

In addition, this programme will link to data from primary care to better assess risk in the general population to refine the right at-risk individuals to be selected for screening. It is hoped that this research will define a new set of standards for lung health and cancer screening to increase the number of lung cancers diagnosed at an earlier stage, when treatment is more likely to be successful.

“The novel linking of diagnostic technologies, patient outcomes and biomarkers using AI has the potential to make a real difference to how people with suspected lung cancer are investigated. By differentiating between cancers and non-cancers more accurately based on the initial CT scan and blood tests, we hope to remove the delay and possible harm caused by repeat scans and further invasive tests. If successful, this has the potential to reduce patient anxiety and diagnose cancers earlier to improve survival and save the NHS money.”
Professor Fergus Gleeson, DART Chief Investigator

DART and NCIMI

This programme builds on the National Consortium of Intelligent Medical Imaging (NCIMI) at the Big Data Institute in Oxford, one of five UK AI Centres of Excellence.

The funding, delivered through UK Research and Innovation’s (UKRI’s) Industrial Strategy Challenge Fund, is part of over £13m government investment in ‘data to early diagnosis and precision medicine’ for the research, development and evaluation of integrated diagnostic solutions. UKRI is also partnering with Cancer Research UK, which is making up to a £3m contribution to the cancer-focused projects. The Oxford-led project is one of six awarded from this competition.

“Our brilliant scientists and researchers are at the forefront of harnessing world-leading technologies, like AI, that will tackle some of the most complex and chronic diseases that we face. We know that one in two people in the UK will be diagnosed with some form of cancer during their lifetime, while Crohn’s disease affects up to 125,000 people across the country. These six cutting-edge projects will improve early diagnosis, create more precise treatments, and crucially, save lives.”
Science Minister, Amanda Solloway MP

“Three industry leaders – Roche, Optellum and GE – have joined their expertise in molecular diagnostics, imaging and AI to help diagnose and treat lung cancer patients at the earliest possible stage. The programme results will be integrated into Optellum’s AI-driven Clinical Decision Support platform that supports physicians in choosing the optimal diagnostic and treatment procedures for the right patient at the right time.”
Dr Timor Kadir, Chief Science & Technology Officer at Optellum Ltd

“We are very pleased to be working with the University of Oxford via the NCIMI project on this important lung health and cancer research. By extending our existing NCIMI data infrastructure and creating innovative AI solutions to spot comorbid pathologies, we aim to help identify lung diseases earlier in the UK.”
Ben Newton, General Manager, Oncology, at GE Healthcare

“We are thrilled with this funding award, because it gives us the opportunity to work towards ground-breaking innovation in early diagnosis and because working in partnership is vital to achieve success in the health system. By bringing together the collective knowledge and expertise of these academic, medical and industry partners, this project has the potential to impact patient care globally through new diagnostic solutions in lung cancer.”
Geoff Twist, Managing Director UK and Ireland and Management Centre European Agents at Roche Diagnostics Ltd

”The majority of our lung cancer patients are diagnosed too late for the disease to be cured. We know that we need to be diagnosing lung cancer at an earlier stage, through screening. This innovative project has the potential to revolutionise lung cancer screening, making it more efficient and most importantly, saving lives. Roy Castle Lung Cancer Foundation is delighted to support this Programme”
Dr Jesme Fox, Medical Director of the Roy Castle Lung Cancer Foundation

“I am delighted that this national multi-site collaborative programme will be led from Oxford by Fergus Gleeson. Involving a world-class team of academics, clinicians, local and global industry, and patient representatives, this research is hugely important for accelerating lung cancer detection.”
Professor Xin Lu, co-Director of the CRUK Oxford Centre and Director of the Oxford Centre for Early Cancer Detection

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