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

Basit Öğe Kaydı
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.accessioned2020-03-26T17:37:57Z
dc.date.available2020-03-26T17:37:57Z
dc.date.issued2009
dc.departmentSelçuk 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.2009.05.017en_US
dc.identifier.endpage338en_US
dc.identifier.issn0302-2838en_US
dc.identifier.issn1873-7560en_US
dc.identifier.issue2en_US
dc.identifier.pmid19477580en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage332en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.eururo.2009.05.017
dc.identifier.urihttps://hdl.handle.net/20.500.12395/23313
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.selcuk20240510_oaigen_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

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
PubMed İndeksli Yayın Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu