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Intraoperative Imaging for Procedures of the Gastrointestinal Tract

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Innovative Endoscopic and Surgical Technology in the GI Tract

Abstract

Imaging techniques in gastrointestinal surgery are white light endoscopy, and increasingly fluorescence dye imaging (FI) (ICG). Endoluminal ultrasound (US), optical coherence tomography (OCT), confocal microscopy, Raman spectroscopy imaging, near-infrared (NIR) fluorescence, laser speckle contrast imaging (LSCI), narrowband imaging (NBI), and, more recently, photoacoustic imaging (PA) have shown some potential of improving local tissue discrimination and will be introduced. Hyperspectral imaging (HSI) and multispectral imaging (MSI) are relatively new and deliver unique information on a much larger variety of tissue characteristics. This chapter presents the principles, preclinical and clinical applications of HSI/MSI, novel endoscopic systems, and computer-assisted artificial intelligence (AI) tools for analysis of tissue perfusion, oxygenation, water content, identification of risk structures, and tumor margins. Clinical studies and technical improvements are required to support the establishment of HSI in gastrointestinal (GI) surgery. This includes a comparison of HSI with standard methods, integration with robotic systems, further improvements of data analysis tools by artificial intelligence, and clinical approval of the devices.

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Acknowledgments

Part of this work was funded by the Federal Ministry of Education and Research of Germany (grant number: 13GW0248B). The authors thank the colleagues of the companies Diaspective Vision GmbH and KARL STORZ SE & Co. KG for their contribution to the development of the projects. Thomas Neumuth (ICCAS) acquired funding and supported the research projects.

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Correspondence to Andreas Melzer .

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Chalopin, C. et al. (2021). Intraoperative Imaging for Procedures of the Gastrointestinal Tract. In: Horgan, S., Fuchs, KH. (eds) Innovative Endoscopic and Surgical Technology in the GI Tract . Springer, Cham. https://doi.org/10.1007/978-3-030-78217-7_32

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  • DOI: https://doi.org/10.1007/978-3-030-78217-7_32

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