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This is the first study translating intraoperative HSI to an in\u00a0vivo laparoscopic setting using a CE-certified HSI-system for minimally invasive surgery (HSI-MIS). We aim to compare it to an established HSI-system for open surgery (HSI-Open).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>Intraoperative HSI was done using the HSI-MIS and HSI-Open at the Region of Interest (ROI). 19 patients undergoing gastrointestinal resections were analyzed in this study. The HSI-MIS-acquired images were aligned with those from the HSI-Open, and spectra and parameter images were compared pixel-wise. We calculated the Mean Absolute Error (MAE) for Tissue Oxygen Saturation (StO<jats:sub>2<\/jats:sub>), Near-Infrared Perfusion Index (NIR-PI), Tissue Water Index (TWI), and Organ Hemoglobin Index (OHI), as well as the Root Mean Squared Error (RMSE) over the whole spectrum. Our analysis of parameters was optimized using partial least squares (PLS) regression. Two experienced surgeons carried out an additional color-change analysis, comparing the ROI images and deciding whether they provided the same (acceptable) or different visual information (rejected).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>HSI and subsequent image registration was possible in 19 patients. MAE results for the original calculation were StO<jats:sub>2 orig.<\/jats:sub> 17.2%\u00a0(\u00b1\u20097.7%)<jats:sub>,<\/jats:sub> NIR-PI<jats:sub>orig.<\/jats:sub>\u00a016.0\u00a0(\u00b1\u20099.5), TWI<jats:sub>orig.<\/jats:sub>\u00a018.1\u00a0(\u00b1\u20097.9), OHI<jats:sub>orig.<\/jats:sub>\u00a014.4\u00a0(\u00b1\u20094.5). For the PLS calculation, they were StO<jats:sub>2 PLS<\/jats:sub>\u00a012.6%\u00a0(\u00b1\u20095.2%), NIR-PI<jats:sub>PLS<\/jats:sub>\u00a010.3\u00a0(\u00b1\u20096.0), TWI<jats:sub>PLS<\/jats:sub>\u00a010.6\u00a0(\u00b1\u20095.1), and OHI<jats:sub>PLS<\/jats:sub>\u00a011.6\u00a0(\u00b1\u20093.0). The RMSE between both systems was 0.14\u00a0(\u00b1\u20090.06). In the color-change analysis; both surgeons accepted more images generated using the PLS method.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>Intraoperative HSI-MIS is a new technology and holds great potential for future applications in surgery. Parameter deviations are attributable to technical differences and can be reduced by applying improved calculation methods. This study is an important step toward the clinical implementation of HSI for minimally invasive surgery.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1007\/s00464-023-09874-2","type":"journal-article","created":{"date-parts":[[2023,1,16]],"date-time":"2023-01-16T16:02:52Z","timestamp":1673884972000},"page":"3691-3700","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":33,"title":["In vivo evaluation of a hyperspectral imaging system for minimally invasive surgery (HSI-MIS)"],"prefix":"10.1007","volume":"37","author":[{"given":"Madeleine T.","family":"Thoma\u00dfen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hannes","family":"K\u00f6hler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Annekatrin","family":"Pfahl","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sigmar","family":"Stelzner","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthias","family":"Mehdorn","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ren\u00e9","family":"Thieme","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Boris","family":"Jansen-Winkeln","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ines","family":"Gockel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Claire","family":"Chalopin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5936-0217","authenticated-orcid":false,"given":"Yusef","family":"Moulla","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,1,16]]},"reference":[{"key":"9874_CR1","doi-asserted-by":"publisher","first-page":"E6","DOI":"10.1111\/ans.13648","volume":"88","author":"T Sammour","year":"2018","unstructured":"Sammour T, Hayes IP, Jones IT et al (2018) Impact of anastomotic leak on recurrence and survival after colorectal cancer surgery: a BioGrid Australia analysis. 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KG (Tuttlingen, Germany) and Diaspective Vision GmbH (Am Salzhaff-Pepelow, Germany) provided the equipment for the measurements. Hannes K\u00f6hler is a former employee of Diaspective Vision GmbH (until 07\/2020). Madeleine T. Thoma\u00dfen, Annekatrin Pfahl, Sigmar Stelzner, Matthias Mehdorn, Ren\u00e9 Thieme, Boris Jansen-Winkeln, Ines Gockel, Claire Chalopin, and Yusef Moulla have no conflicts of interest to disclose.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosures"}}]}}