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Development of the initial prototype of a pill sensor to detect colonic polyps and early bowel cancer

Development of the initial prototype of a pill sensor to detect colonic polyps and early bowel cancer
开发用于检测结肠息肉和早期肠癌的药丸传感器的初始原型
批准号:
MR/Y503411/1
负责人:
Yang Liu
金额:
$31.49万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2024
资助国家:
英国
项目状态:
未结题
起止时间:
2024 至 --

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中文摘要
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英文摘要
Bowel cancer causes nearly a million deaths per annum, and more than half of cases are fatal. Although early cancer detection can significantly improve patients' outcomes, more than half of bowel cancer cases in the UK are diagnosed at a late stage. Detection of bowel cancer and pre-cancerous polyps is currently predominantly performed by either visual inspection of the colonic mucosa during endoscopy (colonoscopy), which is an invasive procedure, or by cross-sectional imaging, which is less reliable for small-sized lesions that are not easily visualised. If such polyps are not detected and removed at an early stage, there is a chance that they may become cancerous. Recently, direct visualisation of the colon using colonic capsule endoscopy has been introduced, but uptake by clinicians has been limited due to concerns about missed lesions with this modality, with potentially catastrophic outcomes for patients.Leveraging our pioneering work in the field of controllable capsule technologies, our team has developed a novel, untethered, vibrational, AI-assisted, ingestible pill sensor, with the aim of detecting small colonic lesions by a new modality (DOI:10.1109/LRA.2023.3251853). After swallowing this pill-based device, it will pass through the patient's gastrointestinal (GI) tract through gut motility and peristalsis. Dynamic signals from the pill in contact with in-situ bowel lesions can be acquired and analysed for features that are indicative of biomechanical changes in the tissues, to infer benign or malignant lesions. Design innovations include the vibrational mechanism for encouraging pill-lesion interactions, a portable platform for interaction signal acquisition, and disposable components: after each procedure, the pill's outer shell is discarded, whilst the main components are reclaimed without reprocessing, dramatically reducing the cost. The platform is small and lightweight, with significantly reduced capital costs compared to standard colonoscopy. Early experiments in our laboratory demonstrate an average accuracy of 96.5% in successful detection of simulated colonic lesions (DOI:10.1109/LRA.2023.3251853). This novel pill sensor is therefore planned to facilitate an alternative to both colonoscopy and current colonic capsule endoscopy.This project aims to develop an initial prototype of this pill sensor in fusion with artificial intelligence to aid the detection of hard-to-visualise bowel lesions. This novel diagnostic tool will be developed, optimised, and tested in this 18-month research programme. By the end of this project, we will deliver a proof-of-concept prototype at TRL 3 that is ready for in-vivo testing. To this end, we will pursue this aim by (1) integrating all the required components, including on-board vibrator and sensor (e.g., accelerometer), data storage, and power supply, (2) optimising the controllability and integrity of the pill, (3) using the dynamic signals acquired by the on-board sensor to perform autonomous detection of lesions, (4) benchmarking the proposed technology with standard colonic capsule endoscopy in multiple validation scenarios in a laboratory setting, (5) optimising the initial prototype for clinical use based on clinical feedback.In the long term, this work will initiate a new, minimally invasive, investigative modality for patients and clinicians that is comfortable, safe, reliable, accurate and cost-effective in the detection of pre-cancerous and early cancerous lesions.
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SOFT-PATTERN
  • 批准号:
    EP/Y030559/1
  • 项目类别:
    Fellowship
  • 资助金额:
    $25.55万
  • 财政年份:
    2023
  • 负责人:
    Yang Liu
  • 依托单位:
ERI: Understanding the Dynamic and Thermal Behaviors of Colloidal Droplets Toward a Novel Freezing-based Inkjet Printing Concept
  • 批准号:
    2138214
  • 项目类别:
    Standard Grant
  • 资助金额:
    $19.99万
  • 财政年份:
    2022
  • 负责人:
    Yang Liu
  • 依托单位:
ERI: Understanding the Dynamic and Thermal Behaviors of Colloidal Droplets Toward a Novel Freezing-based Inkjet Printing Concept
  • 批准号:
    2242311
  • 项目类别:
    Standard Grant
  • 资助金额:
    $19.99万
  • 财政年份:
    2022
  • 负责人:
    Yang Liu
  • 依托单位:
CAREER: Human-Centered Machine Learning: Robustness, Fairness and Dynamics
  • 批准号:
    2143895
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $52.69万
  • 财政年份:
    2022
  • 负责人:
    Yang Liu
  • 依托单位:
国内基金
海外基金
OFDMA和SC-FDMA系统上行链路初同步方法研究
  • 批准号:
    60902028
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    20.0万元
  • 批准年份:
    2009
  • 负责人:
    傅晓宇
  • 依托单位: