TY  - JOUR
AU  - Ayala, Leonardo
AU  - Adler, Tim
AU  - Seidlitz, Silvia
AU  - Wirkert, Sebastian
AU  - Engels, Christina
AU  - Seitel, Alexander
AU  - Sellner, Jan
AU  - Aksenov, Alexey
AU  - Bodenbach, Matthias
AU  - Bader, Pia
AU  - Baron, Sebastian
AU  - Vemuri, Anant
AU  - Wiesenfarth, Manuel
AU  - Schreck, Nicholas
AU  - Mindroc, Diana
AU  - Tizabi, Minu
AU  - Pirmann, Sebastian
AU  - Everitt, Brittaney
AU  - Kopp-Schneider, Annette
AU  - Teber, Dogu
AU  - Maier-Hein, Lena
TI  - Spectral imaging enables contrast agent-free real-time ischemia monitoring in laparoscopic surgery.
JO  - Science advances
VL  - 9
IS  - 10
SN  - 2375-2548
CY  - Washington, DC [u.a.]
PB  - Assoc.
M1  - DKFZ-2023-00582
SP  - eadd6778
PY  - 2023
N1  - #EA:E130#LA:E130#
AB  - 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.
KW  - Humans
KW  - Contrast Media
KW  - Nephrectomy: methods
KW  - Neural Networks, Computer
KW  - Laparoscopy: methods
KW  - Ischemia
KW  - Contrast Media (NLM Chemicals)
LB  - PUB:(DE-HGF)16
C6  - pmid:36897951
C2  - pmc:PMC10005169
DO  - DOI:DOI: 10.1126/sciadv.add6778
UR  - https://inrepo02.dkfz.de/record/274382
ER  -