Augmented Reality: A New Tool To Improve Surgical Accuracy during Laparoscopic Partial Nephrectomy? Preliminary In Vitro and In Vivo Results

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dc.authoridGuven, Esref Oguz/0000-0003-4919-9383
dc.authoridGuven, Selcuk/0000-0002-5009-8435
dc.contributor.authorTeber, Dogu
dc.contributor.authorGuven, Selcuk
dc.contributor.authorSimpfendoerfer, Tobias
dc.contributor.authorBaumhauer, Mathias
dc.contributor.authorGueven, Esref Oguz
dc.contributor.authorYencilek, Faruk
dc.contributor.authorGoezen, Ali Serdar
dc.date.accessioned2024-09-18T20:11:43Z
dc.date.available2024-09-18T20:11:43Z
dc.date.issued2009
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description.abstractBackground: Use of an augmented reality (AR)-based soft tissue navigation system in urologic laparoscopic surgery is an evolving technique. Objective: To evaluate a novel soft tissue navigation system developed to enhance the surgeon's perception and to provide decision-making guidance directly before initiation of kidney resection for laparoscopic partial nephrectomy (LPN). Design, setting, and participants: Custom-designed navigation aids, a mobile C-arm capable of cone-beam imaging, and a standard personal computer were used. The feasibility and reproducibility of inside-out tracking principles were evaluated in a porcine model with an artificially created intraparenchymal tumor in vitro. The same algorithm was then incorporated into clinical practice during LPN. Interventions: Evaluation of a fully automated inside-out tracking system was repeated in exactly the same way for 10 different porcine renal units. Additionally, 10 patients underwent retroperitoneal LPNs under manual AR guidance by one surgeon. Measurements: The navigation errors and image-acquisition times were determined in vitro. The mean operative time, time to locate the tumor, and positive surgical margin were assessed in vivo. Results and limitations: The system was able to navigate and superpose the virtually created images and real-time images with an error margin of only 0.5 mm, and fully automated initial image acquisition took 40 ms. The mean operative time was 165 min (range: 135-195 min), and mean time to locate the tumor was 20 min (range: 1327 min). None of the cases required conversion to open surgery. Definitive histology revealed tumor-free margins in all 10 cases. Conclusions: This novel AR tracking system proved to be functional with a reasonable margin of error and image-to-image registration time. Mounting the pre- or intraoperative imaging properties on real-time videoendoscopic images in a real-time manner will simplify and increase the precision of laparoscopic procedures. (C) 2009 European Association of Urology Published by Elsevier B.V. All rights reserved.en_US
dc.identifier.doi10.1016/j.eururo.2009.05.017
dc.identifier.endpage338en_US
dc.identifier.issn0302-2838
dc.identifier.issn1873-7560
dc.identifier.issue2en_US
dc.identifier.pmid19477580en_US
dc.identifier.scopus2-s2.0-67649450461en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage332en_US
dc.identifier.urihttps://doi.org/10.1016/j.eururo.2009.05.017
dc.identifier.urihttps://hdl.handle.net/20.500.12483/9039
dc.identifier.volume56en_US
dc.identifier.wosWOS:000268527600022en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofEuropean Urologyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectComputer-Assisted Surgeryen_US
dc.subjectAugmented Realityen_US
dc.subjectSoft Tissue Navigationen_US
dc.subjectLaparoscopic Partialen_US
dc.subjectNephrectomyen_US
dc.titleAugmented Reality: A New Tool To Improve Surgical Accuracy during Laparoscopic Partial Nephrectomy? Preliminary In Vitro and In Vivo Resultsen_US
dc.typeArticleen_US

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