Smart Electro-Optical Techniques for Bowel Cancer Surgery

肠癌手术的智能光电技术

• 批准号: 2593618
• 金额: --
• 依托单位: University of Nottingham
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2593618
• 关键词: Smart; Electro; Optical; Techniques; Bowel

This research will look to develop a novel electrical impedance technology with a focus on diagnosis and treatment of bowel cancer. Over 42,000 people are diagnosed and more than 16,000 die from bowel cancer every year in the UK, making it the country's second leading cause of death among cancers [1]. Screening programmes have demonstrated significant success in reducing patient mortality through early diagnosis [2][3], but that success is dependent on the quality of the diagnostic techniques available [4]. Incorporating further quantitative components into these diagnostic processes will improve their reliability and help reduce the number of missed cases. Mortality rates 30-days following surgical intervention stand at around 6% [5], and so there also remains scope for improving treatment and post-operative outcomes. Surgery remains the most common treatment method for colo-rectal cancers [6], and so a tool capable of providing surgeons with information about tissue properties in real time will aid in the removal of (pre)cancerous growths without disturbing other unaffected tissues and avoid associated complications. This project proposes the development of an advanced bio-imaging technique that provides this invaluable quantitative assessment. The research aims to establish a technique that will guide cancer identification and removal surgery in real time, through data analysis, and the design, fabrication, and testing of sensors and signal processing systems. This cutting-edge electro-optical imaging technology will be tested in In-vivo and ex-vivo models, and validated using advanced chemical imaging techniques.

这项研究将着眼于开发一种新的电阻抗技术，重点是肠癌的诊断和治疗。在英国，每年有超过42，000人被诊断出患有肠癌，超过16，000人死于肠癌，使其成为该国癌症中的第二大死亡原因[1]。筛查计划已证明通过早期诊断在降低患者死亡率方面取得了重大成功[2][3]，但这一成功取决于可用诊断技术的质量[4]。在这些诊断过程中加入更多的定量成分将提高其可靠性，并有助于减少漏诊病例的数量。手术干预后30天的死亡率约为6% [5]，因此仍有改善治疗和术后结局的余地。手术仍然是结直肠癌最常见的治疗方法[6]，因此能够为外科医生提供有关组织特性的真实的信息的工具将有助于去除（癌前）癌生长，而不会干扰其他未受影响的组织并避免相关并发症。该项目提出了一种先进的生物成像技术，提供了这种宝贵的定量评估的发展。该研究旨在通过数据分析以及传感器和信号处理系统的设计、制造和测试，建立一种能够真实的指导癌症识别和切除手术的技术。这种尖端的电光成像技术将在体内和体外模型中进行测试，并使用先进的化学成像技术进行验证。