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

被引：19

作者：

Ayala, Leonardo ^{[1
,2
]}

Adler, Tim J. ^{[1
,3
]}

Seidlitz, Silvia ^{[1
,3
,4
]}

Wirkert, Sebastian ^{[1
]}

Engels, Christina

Seitel, Alexander ^{[1
]}

Sellner, Jan ^{[1
,3
,4
]}

Aksenov, Alexey ^{[5
]}

Bodenbach, Matthias ^{[5
]}

Bader, Pia ^{[5
]}

Baron, Sebastian ^{[5
]}

Vemuri, Anant ^{[1
]}

Wiesenfarth, Manuel ^{[6
]}

Schreck, Nicholas ^{[6
]}

Mindroc, Diana ^{[1
]}

Tizabi, Minu ^{[1
]}

Pirmann, Sebastian ^{[1
]}

Everitt, Brittaney ^{[1
]}

Kopp-Schneider, Annette ^{[6
]}

Teber, Dogu ^{[5
]}

Maier-Hein, Lena ^{[1
,2
,3
,4
]}

机构：

[1] German Canc Res Ctr, Div Intelligent Med Syst, Heidelberg, Germany

[2] Heidelberg Univ, Med Fac, Heidelberg, Germany

[3] Heidelberg Univ, Fac Math & Comp Sci, Heidelberg, Germany

[4] Helmholtz Informat & Data Sci Sch Hlth, Karlsruhe Heidelberg, Germany

[5] Stadt Klinikum Karlsruhe, Karlsruhe, Germany

[6] German Canc Res Ctr, Div Biostat, Heidelberg, Germany

来源：

SCIENCE ADVANCES | 2023年 / 9卷 / 10期

基金：

欧洲研究理事会;

关键词：

LATERAL HABENULA; DOPAMINE; REWARD; NUCLEUS; PREDICTION; SIGNALS; MODEL; REPRESENTATION; REINFORCEMENT; UNCERTAINTY;

D O I：

10.1126/sciadv.add6778

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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 ensem-ble 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.

引用

页数：1

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