Details of Grant 

EPSRC Reference:	EP/P023231/1
Title:	Improving the outcomes of oesophageal interventions through novel x-ray based imaging methods
Principal Investigator:	Olivo, Professor A
Other Investigators:	Munro, Dr P R T Novelli, Professor MR Mughal, Professor M Lovat, Professor L Endrizzi, Dr M
Researcher Co-Investigators:
Project Partners:	Diamond Light Source Nikon Metrology UK
Department:	Medical Physics and Biomedical Eng
Organisation:	UCL
Scheme:	Standard Research
Starts:	01 August 2017	Ends:	30 April 2022	Value (£):	948,478
EPSRC Research Topic Classifications:	Instrumentation Eng. & Dev. Med.Instrument.Device& Equip.
EPSRC Industrial Sector Classifications:	Healthcare
Related Grants:
Panel History:	Panel Date Panel Name Outcome 06 Feb 2017 HIPs 2017 Panel Meeting Announced
Summary on Grant Application Form
Oesophageal cancer has been identified by CRUK and other institutions as a "cancer of unmet need"; survival rates have not improved significantly for decades. In England and Wales, these are of only 12% for 10 or more years. Pitfalls can be identified at all stages of surveillance/staging/treatment (referred to in the following as "streams" 1-3). We believe that highly sensitive, in-room, real-time imaging with microscopic resolution could address pitfalls in all streams, consequently improving treatment outcomes. The objective of our project is to increase life expectancy and survival rates of patients with oesophageal cancer by developing novel imaging tools for in-room analysis that can guide treatment effectively. Stream 1 refers to biopsies collected at endoscopy, which are sent to the histopathology lab for expert evaluation using a tissue staining method that has not changed for 100 years. The turnaround time is up to one month, leading to delays in scheduling therapy during which pre-cancerous lesions can develop into cancer. Real time analysis as they are collected will allow for immediate in-room therapy, significantly improving patient management. Stream 2 refers to Endoscopic Mucosal Resections (EMRs) which may be sufficient treatment for complete cure of early stage cancers. The crucial questions are whether the entire tumour has been removed, or whether the tumour has extended deep into the wall of the oesophagus. This would change the treatment pathway. Real-time analysis would allow for immediate repeat EMR if needed, minimising the number of patient having to return later (which makes repeat EMR harder to perform); it would also reduce the number of patients requiring major surgery to remove the entire oesophagus (oesophagectomy). Stream 3 refers to oseophagectomy, undergone by patients with locally advanced cancer that has not spread beyond the local area that can be removed surgically. Success depends on achieving clear margins: for this, frozen sections are collected and analysed through a procedure that can take over an hour, while our technology would reveal this in real time. Another need is identification of the number, position and infiltration state of surrounding lymph nodes. An insufficient number of lymph nodes is sometimes collected, which is not found out until later - again with implications for treatment pathways (e.g. need for chemotherapy after surgery). Our team has developed a new approach to x-ray imaging called x-ray phase contrast imaging (XPCI). It uses a different physical principle (refraction and interference) to generate image contrast, instead of x-ray attenuation which is what every system in existence has been using since Roentgen. Thanks to this, XPCI can reveal features considered invisible to conventional x-rays, notably faint structural changes in soft biological tissue. We have already proven that XPCI, unlike conventional x-rays, has sufficient sensitivity to distinguish between layers of the wall of the oesophagus, which is very relevant to this project. We have also demonstrated that XPCI can perform full 3D ("computed tomography") scans in minutes, and reach resolution of 1 micron while using conventional x-ray sources. We believe that targeted implementations of XPCI can fulfil the needs of real-time analysis for all above streams (albeit possibly through two separate instruments with different field-of-view and resolution), and we have assembled a team of engineers, physicists, clinicians and industrialists to tackle this problem. Engineers and physicist will design and build the imaging systems using input from the clinicians; the systems will be used to image a sufficient number of specimens from all streams to allow drawing significant conclusions on the clinical benefits. The industrialists will oversee the process to ensure compatibility with industrial processes and regulatory compliance, and ultimately take the research into clinical exploitation.
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