A Multimodal Bio-Sensing and Imaging Platform (MSIP) for Real-Time Intraoperative Margin Detection in Cancer Surgery

被引:0
|
作者
Hatami-Fard, Ghazal [1 ]
Vyas, Khushi [2 ]
Leff, Daniel [3 ,4 ,5 ]
Dasgupta, Ranan [6 ]
Anastasova, Salzitsa [1 ]
机构
[1] Imperial Coll London, Hamlyn Ctr, London SW7 2AZ, England
[2] Imperial Coll London, Hamlyn Ctr Robot Surg, London SW7 2AZ, England
[3] Imperial Coll London, Dept Biosurg, London SW7 2AZ, England
[4] Imperial Coll London, Dept Surg Technol, London SW7 2AZ, England
[5] Imperial Coll London, Hamlyn Ctr Robot Surg, London SW7 2AZ, England
[6] Imperial Coll Healthcare NHS Trust, Dept Urol, St Marys Hosp, London, England
来源
ANALYSIS & SENSING | 2024年 / 4卷 / 03期
关键词
pH-sensor; Endomicroscope; Multimodal; Sensing; Cancer; Surgery; ENDOMICROSCOPY; PH;
D O I
10.1002/anse.202300066
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
In cancer surgery, the precise characterisation of tissue margins is of paramount importance to ensure effective resection. However, conventional methods have inherent limitations in terms of both speed and accuracy, often necessitating labour-intensive postsurgical tissue analyses. To overcome these challenges and enhance the precision of cancer surgery, we introduced an innovative Multimodal Sensing and Imaging Platform (MSIP) equipped with advanced pH sensing capabilities. The MSIP represents the synergistic fusion of a miniaturised, flexible wire-based electrochemical pH sensor with a sensitivity of 62.4 mV per pH for real-time functional imaging. Simultaneously, it incorporates a high-speed confocal endomicroscope utilizing a 2.6 mm fibre bundle to achieve subcellular resolution in morphological imaging. The pH sensor enables continuous monitoring of dynamic changes in the tumour microenvironment, offering valuable insights. Confocal endomicroscopy provides high-resolution, real-time imaging of tumour morphology with an impressive 2.2 mu m resolution. This integration not only enhances the precision of cancer surgery but also fosters a comprehensive understanding of the biological and molecular characteristics of tumours. By consolidating multiple diagnostic parameters into a unified platform, MSIP has emerged as a transformative technology poised to revolutionise our approach to cancer surgery. Precise characterisation of the tissue margins is vital for successful resection during cancer surgery. However, conventional methods encounter issues related to speed and accuracy. To overcome these challenges, we present a Multimodal Sensing and Imaging Platform (MSIP). The MSIP combines a miniaturised, flexible wire-based electrochemical pH sensor with high-speed confocal endomicroscopy, allowing real-time functional and morphological imaging. image
引用
收藏
页数:10
相关论文
共 50 条
  • [31] Multimodal fluorescence imaging and spectroscopic techniques for oral cancer screening: a real-time approach
    Thapa, Pramila
    Singh, Veena
    Bhatt, Sunil
    Maurya, Kiran
    Kumar, Virendra
    Nayyar, Vivek
    Jot, Kiran
    Mishra, Deepika
    Shrivastava, Anurag
    Mehta, Dalip Singh
    METHODS AND APPLICATIONS IN FLUORESCENCE, 2023, 11 (04):
  • [32] A real-time 4-bit imaging electrical impedance sensing biopsy needle for prostate cancer detection
    Everitt, Alicia C.
    Manwaring, Preston K.
    Halter, Ryan J.
    MEDICAL IMAGING 2018: BIOMEDICAL APPLICATIONS IN MOLECULAR, STRUCTURAL, AND FUNCTIONAL IMAGING, 2018, 10578
  • [33] Real-Time Neuron Detection and Neural Signal Extraction Platform for Miniature Calcium Imaging
    Lee, Yaesop
    Xie, Jing
    Lee, Eungjoo
    Sudarsanan, Srijesh
    Lin, Da-Ting
    Chen, Rong
    Bhattacharyya, Shuvra S.
    Frontiers in Computational Neuroscience, 2020, 14
  • [34] Real-Time Neuron Detection and Neural Signal Extraction Platform for Miniature Calcium Imaging
    Lee, Yaesop
    Xie, Jing
    Lee, Eungjoo
    Sudarsanan, Srijesh
    Lin, Da-Ting
    Chen, Rong
    Bhattacharyya, Shuvra S.
    FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2020, 14
  • [35] Real-time high-resolution omnidirectional imaging platform for drone detection and tracking
    Bilal Demir
    Selman Ergunay
    Gokcen Nurlu
    Vladan Popovic
    Beat Ott
    Peter Wellig
    Jean-Philippe Thiran
    Yusuf Leblebici
    Journal of Real-Time Image Processing, 2020, 17 : 1625 - 1635
  • [36] Real-time high-resolution omnidirectional imaging platform for drone detection and tracking
    Demir, Bilal
    Ergunay, Selman
    Nurlu, Gokcen
    Popovic, Vladan
    Ott, Beat
    Wellig, Peter
    Thiran, Jean-Philippe
    Leblebici, Yusuf
    JOURNAL OF REAL-TIME IMAGE PROCESSING, 2020, 17 (05) : 1625 - 1635
  • [37] Detection of early gastric cancer by a real-time autofluorescence imaging system
    Kobayashi, M
    Tajiri, H
    Seike, E
    Shitaya, M
    Tounou, S
    Mine, M
    Oba, K
    CANCER LETTERS, 2001, 165 (02) : 155 - 159
  • [38] Correction to: Feasibility Study of a Novel Protease-Activated Fluorescent Imaging System for Real-Time, Intraoperative Detection of Residual Breast Cancer in Breast Conserving Surgery
    Barbara L. Smith
    Conor R. Lanahan
    Michelle C. Specht
    Bridget N. Kelly
    Carson Brown
    David B. Strasfeld
    Jorge M. Ferrer
    Upahvan Rai
    Rong Tang
    Travis Rice-Stitt
    Anna Biernacka
    Elena F. Brachtel
    Michele A. Gadd
    Annals of Surgical Oncology, 2020, 27 : 967 - 967
  • [39] A device for real-time, intraoperative margin assessment in breast-conservation surgery (BCS) of ductal carcinoma in situ (DCIS).
    Thill, M.
    Roeder, K.
    Fischer, D.
    Buendgen, N.
    Diedrich, K.
    Dittmer, C.
    JOURNAL OF CLINICAL ONCOLOGY, 2010, 28 (15)
  • [40] Real-Time, Reconfigurable, Handheld Molecular Chemical Imaging Sensing for Standoff Detection of Threats
    Nelson, Matthew P.
    Tazik, Shawna K.
    Treado, Patrick J.
    CHEMICAL, BIOLOGICAL, RADIOLOGICAL, NUCLEAR, AND EXPLOSIVES (CBRNE) SENSING XX, 2019, 11010