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000274382 1001_ $$00000-0002-3574-2085$$aAyala, Leonardo$$b0$$eFirst author
000274382 245__ $$aSpectral imaging enables contrast agent-free real-time ischemia monitoring in laparoscopic surgery.
000274382 260__ $$aWashington, DC [u.a.]$$bAssoc.$$c2023
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000274382 520__ $$aLaparoscopic surgery has evolved as a key technique for cancer diagnosis and therapy. While characterization of the tissue perfusion is crucial in various procedures, such as partial nephrectomy, doing so by means of visual inspection remains highly challenging. We developed a laparoscopic real-time multispectral imaging system featuring a compact and lightweight multispectral camera and the possibility to complement the conventional surgical view of the patient with functional information at a video rate of 25 Hz. To enable contrast agent-free ischemia monitoring during laparoscopic partial nephrectomy, we phrase the problem of ischemia detection as an out-of-distribution detection problem that does not rely on data from any other patient and uses an ensemble of invertible neural networks at its core. An in-human trial demonstrates the feasibility of our approach and highlights the potential of spectral imaging combined with advanced deep learning-based analysis tools for fast, efficient, reliable, and safe functional laparoscopic imaging.
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000274382 650_7 $$2NLM Chemicals$$aContrast Media
000274382 650_2 $$2MeSH$$aHumans
000274382 650_2 $$2MeSH$$aContrast Media
000274382 650_2 $$2MeSH$$aNephrectomy: methods
000274382 650_2 $$2MeSH$$aNeural Networks, Computer
000274382 650_2 $$2MeSH$$aLaparoscopy: methods
000274382 650_2 $$2MeSH$$aIschemia
000274382 7001_ $$0P:(DE-He78)ae131915396ed2f27752c043e123897e$$aAdler, Tim$$b1$$eFirst author$$udkfz
000274382 7001_ $$0P:(DE-He78)6f627fc52580baaa9c8dd007c7b32f8f$$aSeidlitz, Silvia$$b2$$udkfz
000274382 7001_ $$0P:(DE-He78)f105ac59d0f6d441f098d3144e0defee$$aWirkert, Sebastian$$b3
000274382 7001_ $$aEngels, Christina$$b4
000274382 7001_ $$0P:(DE-He78)a83df473f58a6a8ef43263ec9783ecf0$$aSeitel, Alexander$$b5$$udkfz
000274382 7001_ $$0P:(DE-He78)c26326d6f5e4968993ff08db55ee2381$$aSellner, Jan$$b6$$udkfz
000274382 7001_ $$aAksenov, Alexey$$b7
000274382 7001_ $$00000-0003-1471-0444$$aBodenbach, Matthias$$b8
000274382 7001_ $$aBader, Pia$$b9
000274382 7001_ $$aBaron, Sebastian$$b10
000274382 7001_ $$0P:(DE-He78)59550e3c9ae4b46b714843863e0db8d9$$aVemuri, Anant$$b11
000274382 7001_ $$0P:(DE-He78)1042737c83ba70ec508bdd99f0096864$$aWiesenfarth, Manuel$$b12$$udkfz
000274382 7001_ $$0P:(DE-He78)0d054b6843ace36d1c965b6cb938d1c9$$aSchreck, Nicholas$$b13$$udkfz
000274382 7001_ $$00000-0002-3104-2129$$aMindroc, Diana$$b14
000274382 7001_ $$0P:(DE-He78)26651d9aa10255ad4f35610a56aa91e8$$aTizabi, Minu$$b15$$udkfz
000274382 7001_ $$0P:(DE-He78)29f40bdc4994eb6f3e09cda6f65e27f1$$aPirmann, Sebastian$$b16$$udkfz
000274382 7001_ $$0P:(DE-He78)620bb7fc9518676452caedcab412bb61$$aEveritt, Brittaney$$b17
000274382 7001_ $$0P:(DE-He78)bb6a7a70f976eb8df1769944bf913596$$aKopp-Schneider, Annette$$b18$$udkfz
000274382 7001_ $$aTeber, Dogu$$b19
000274382 7001_ $$0P:(DE-He78)26a1176cd8450660333a012075050072$$aMaier-Hein, Lena$$b20$$eLast author$$udkfz
000274382 773__ $$0PERI:(DE-600)2810933-8$$aDOI: 10.1126/sciadv.add6778$$gVol. 9, no. 10$$n10$$peadd6778$$tScience advances$$v9$$x2375-2548$$y2023
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