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Spectral imaging enables contrast agent–free real-time ischemia monitoring in laparoscopic surgery

Laparoscopic surgery has evolved as a key technique for cancer diagnosis and therapy. While characterization of the tissue perfusion is crucial in various procedures, such as partial nephrectomy, doing so by means of visual inspection remains highly challenging. We developed a laparoscopic real-time...

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Autores principales: Ayala, Leonardo, Adler, Tim J., Seidlitz, Silvia, Wirkert, Sebastian, Engels, Christina, Seitel, Alexander, Sellner, Jan, Aksenov, Alexey, Bodenbach, Matthias, Bader, Pia, Baron, Sebastian, Vemuri, Anant, Wiesenfarth, Manuel, Schreck, Nicholas, Mindroc, Diana, Tizabi, Minu, Pirmann, Sebastian, Everitt, Brittaney, Kopp-Schneider, Annette, Teber, Dogu, Maier-Hein, Lena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10005169/
https://www.ncbi.nlm.nih.gov/pubmed/36897951
http://dx.doi.org/10.1126/sciadv.add6778
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author Ayala, Leonardo
Adler, Tim J.
Seidlitz, Silvia
Wirkert, Sebastian
Engels, Christina
Seitel, Alexander
Sellner, Jan
Aksenov, Alexey
Bodenbach, Matthias
Bader, Pia
Baron, Sebastian
Vemuri, Anant
Wiesenfarth, Manuel
Schreck, Nicholas
Mindroc, Diana
Tizabi, Minu
Pirmann, Sebastian
Everitt, Brittaney
Kopp-Schneider, Annette
Teber, Dogu
Maier-Hein, Lena
author_facet Ayala, Leonardo
Adler, Tim J.
Seidlitz, Silvia
Wirkert, Sebastian
Engels, Christina
Seitel, Alexander
Sellner, Jan
Aksenov, Alexey
Bodenbach, Matthias
Bader, Pia
Baron, Sebastian
Vemuri, Anant
Wiesenfarth, Manuel
Schreck, Nicholas
Mindroc, Diana
Tizabi, Minu
Pirmann, Sebastian
Everitt, Brittaney
Kopp-Schneider, Annette
Teber, Dogu
Maier-Hein, Lena
author_sort Ayala, Leonardo
collection PubMed
description Laparoscopic surgery has evolved as a key technique for cancer diagnosis and therapy. While characterization of the tissue perfusion is crucial in various procedures, such as partial nephrectomy, doing so by means of visual inspection remains highly challenging. We developed a laparoscopic real-time multispectral imaging system featuring a compact and lightweight multispectral camera and the possibility to complement the conventional surgical view of the patient with functional information at a video rate of 25 Hz. To enable contrast agent–free ischemia monitoring during laparoscopic partial nephrectomy, we phrase the problem of ischemia detection as an out-of-distribution detection problem that does not rely on data from any other patient and uses an ensemble of invertible neural networks at its core. An in-human trial demonstrates the feasibility of our approach and highlights the potential of spectral imaging combined with advanced deep learning–based analysis tools for fast, efficient, reliable, and safe functional laparoscopic imaging.
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spelling pubmed-100051692023-03-11 Spectral imaging enables contrast agent–free real-time ischemia monitoring in laparoscopic surgery Ayala, Leonardo Adler, Tim J. Seidlitz, Silvia Wirkert, Sebastian Engels, Christina Seitel, Alexander Sellner, Jan Aksenov, Alexey Bodenbach, Matthias Bader, Pia Baron, Sebastian Vemuri, Anant Wiesenfarth, Manuel Schreck, Nicholas Mindroc, Diana Tizabi, Minu Pirmann, Sebastian Everitt, Brittaney Kopp-Schneider, Annette Teber, Dogu Maier-Hein, Lena Sci Adv Physical and Materials Sciences Laparoscopic surgery has evolved as a key technique for cancer diagnosis and therapy. While characterization of the tissue perfusion is crucial in various procedures, such as partial nephrectomy, doing so by means of visual inspection remains highly challenging. We developed a laparoscopic real-time multispectral imaging system featuring a compact and lightweight multispectral camera and the possibility to complement the conventional surgical view of the patient with functional information at a video rate of 25 Hz. To enable contrast agent–free ischemia monitoring during laparoscopic partial nephrectomy, we phrase the problem of ischemia detection as an out-of-distribution detection problem that does not rely on data from any other patient and uses an ensemble of invertible neural networks at its core. An in-human trial demonstrates the feasibility of our approach and highlights the potential of spectral imaging combined with advanced deep learning–based analysis tools for fast, efficient, reliable, and safe functional laparoscopic imaging. American Association for the Advancement of Science 2023-03-10 /pmc/articles/PMC10005169/ /pubmed/36897951 http://dx.doi.org/10.1126/sciadv.add6778 Text en Copyright © 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Physical and Materials Sciences
Ayala, Leonardo
Adler, Tim J.
Seidlitz, Silvia
Wirkert, Sebastian
Engels, Christina
Seitel, Alexander
Sellner, Jan
Aksenov, Alexey
Bodenbach, Matthias
Bader, Pia
Baron, Sebastian
Vemuri, Anant
Wiesenfarth, Manuel
Schreck, Nicholas
Mindroc, Diana
Tizabi, Minu
Pirmann, Sebastian
Everitt, Brittaney
Kopp-Schneider, Annette
Teber, Dogu
Maier-Hein, Lena
Spectral imaging enables contrast agent–free real-time ischemia monitoring in laparoscopic surgery
title Spectral imaging enables contrast agent–free real-time ischemia monitoring in laparoscopic surgery
title_full Spectral imaging enables contrast agent–free real-time ischemia monitoring in laparoscopic surgery
title_fullStr Spectral imaging enables contrast agent–free real-time ischemia monitoring in laparoscopic surgery
title_full_unstemmed Spectral imaging enables contrast agent–free real-time ischemia monitoring in laparoscopic surgery
title_short Spectral imaging enables contrast agent–free real-time ischemia monitoring in laparoscopic surgery
title_sort spectral imaging enables contrast agent–free real-time ischemia monitoring in laparoscopic surgery
topic Physical and Materials Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10005169/
https://www.ncbi.nlm.nih.gov/pubmed/36897951
http://dx.doi.org/10.1126/sciadv.add6778
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