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HYPerspectral Enhanced Reality (HYPER): a physiology-based surgical guidance tool

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Abstract

Background

HSI is an optical technology allowing for a real-time, contrast-free snapshot of physiological tissue properties, including oxygenation. Hyperspectral imaging (HSI) has the potential to quantify the gastrointestinal perfusion intraoperatively. This experimental study evaluates the accuracy of HSI, in order to quantify bowel perfusion, and to obtain a superposition of the hyperspectral information onto real-time images.

Methods

In 6 pigs, 4 ischemic bowel loops were created (A, B, C, D) and imaged at set time points (from 5 to 360 min). A commercially available HSI system provided pseudo-color maps of the perfusion status (StO2, Near-InfraRed perfusion) and the tissue water index. An ad hoc software was developed to superimpose HSI information onto the live video, creating the HYPerspectral-based Enhanced Reality (HYPER). Seven regions of interest (ROIs) were identified in each bowel loop according to StO2 ranges, i.e., vascular (VASC proximal and distal), marginal vascular (MV proximal and distal), marginal ischemic (MI proximal and distal), and ischemic (ISCH). Local capillary lactates (LCL), reactive oxygen species (ROS), and histopathology were measured at the ROIs. A machine-learning-based prediction algorithm of LCL, based on the HSI-StO2%, was trained in the 6 pigs and tested on 5 additional animals.

Results

HSI parameters (StO2 and NIR) were congruent with LCL levels, ROS production, and histopathology damage scores at the ROIs discriminated by HYPER. The global mean error of LCL prediction was 1.18 ± 1.35 mmol/L. For StO2 values > 30%, the mean error was 0.3 ± 0.33.

Conclusions

HYPER imaging could precisely quantify the overtime perfusion changes in this bowel ischemia model.

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Acknowledgements

Authors are grateful to Guy Temporal and Camille Goustiaux, professionals in medical English proofreading, for their valuable help with revising the manuscript.

Funding

This work was funded by the ARC Foundation through the ELIOS (Endoscopic Luminescent Imaging for precision Oncologic Surgery) Grant.

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Correspondence to Michele Diana.

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Disclosures

Jacques Marescaux is the President of both IRCAD and IHU Strasbourg Institutes, which are partly funded by KARL STORZ, Siemens, and Medtronic. Michele Diana is the recipient of the ELIOS grant. Manuel Barberio, Fabio Longo, Claudio Fiorillo, Barbara Seeliger, Pietro Mascagni, Vincent Agnus, Veronique Lindner, Bernard Geny, Anne-Laure Charles, Ines Gockel, Marc Worreth, and Alend Saadi have no conflicts of interest or financial ties to disclose.

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Barberio, M., Longo, F., Fiorillo, C. et al. HYPerspectral Enhanced Reality (HYPER): a physiology-based surgical guidance tool. Surg Endosc 34, 1736–1744 (2020). https://doi.org/10.1007/s00464-019-06959-9

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  • DOI: https://doi.org/10.1007/s00464-019-06959-9

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