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      The clinical application value of mixed‐reality‐assisted surgical navigation for laparoscopic nephrectomy

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          Abstract

          Purpose

          Laparoscopic nephrectomy (LN) has become the preferred method for renal cell carcinoma (RCC). Adequate preoperative assessment or intraoperative navigation is key to the successful implementation of LN. The aim of this study was to evaluate the clinical application value of mixed‐reality–assisted surgical navigation (MRASN) in LN.

          Patients and Methods

          A total of 100 patients with stage T1N0M0 renal tumors who underwent laparoscopic partial nephrectomy (LPN) or laparoscopic radical nephrectomy (LRN) were prospectively enrolled and divided into a mixed‐reality‐assisted laparoscopic nephrectomy (MRALN) group (n = 50) and a non–mixed‐reality‐assisted laparoscopic nephrectomy (non‐MRALN) group (n = 50). All patients underwent renal contrast‐enhanced CT scans. The CT DICOM data of all patients in the MRALN group were imported into the mixed‐reality (MR) postprocessing workstation and underwent holographic three‐dimensional visualization (V3D) modeling and MR displayed, respectively. We adopted the Likert scale to evaluate the clinical application value of MRASN. The consistency of evaluators was assessed using the Cohen kappa coefficient (k).

          Results

          No significant differences in patient demographic indicators between the MRALN group and the non‐MRALN group ( > .05). The subjective score of MRASN clinical application value in operative plan formulation, intraoperative navigation, remote consultation, teaching guidance, and doctor‐patient communication were higher in the MRASN group than in the non‐MRASN group (all P < .001). There were significantly more patients for whom LPN was successfully implemented in the MRALN group than in the non‐MRALN group (82% vs 46%, P < .001). The MRALN group had a shorter operative time (OT) and warm ischemia time (WIT) and less estimated blood loss (EBL) than the non‐MRALN group (all P < .001).

          Conclusion

          MRASN is helpful for operative plan formulation, intraoperative navigation, remote consultation, teaching guidance, and doctor‐patient communication. MRALN may effectively improve the successful implementation rate of LPN and reduce the OT, WIT, and EBL.

          Abstract

          MRASN is helpful for operative plan formulation, intraoperative navigation, remote consultation, teaching guidance, and doctor‐patient communication. MRALN may effectively improve the successful implementation rate of LPN and reduce the OT, WIT, and EBL.

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          Most cited references27

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          Mayo adhesive probability score: an accurate image-based scoring system to predict adherent perinephric fat in partial nephrectomy.

          Image-based renal morphometry scoring systems are used to predict the potential difficulty of partial nephrectomy (PN), but they are centered entirely on tumor-specific factors and neglect other patient-specific factors that may complicate the technical aspects of PN. Adherent perinephric fat (APF) is one such factor known to make PN difficult.
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            • Record: found
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            • Article: not found

            Virtual, augmented, and mixed reality applications in orthopedic surgery

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              • Record: found
              • Abstract: found
              • Article: not found

              Augmented reality during robot-assisted laparoscopic partial nephrectomy: toward real-time 3D-CT to stereoscopic video registration.

              To investigate a markerless tracking system for real-time stereo-endoscopic visualization of preoperative computed tomographic imaging as an augmented display during robot-assisted laparoscopic partial nephrectomy.
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                Author and article information

                Contributors
                13309888392@163.com
                cjr.luguangming@vip.163.com
                Journal
                Cancer Med
                Cancer Med
                10.1002/(ISSN)2045-7634
                CAM4
                Cancer Medicine
                John Wiley and Sons Inc. (Hoboken )
                2045-7634
                15 June 2020
                August 2020
                : 9
                : 15 ( doiID: 10.1002/cam4.v9.15 )
                : 5480-5489
                Affiliations
                [ 1 ] Department of Radiology Jinling Hospital Nanjing Medical University Nanjing China
                [ 2 ] Department of Urology General Hospital of Northern Theater Command Shenyang China
                [ 3 ] Department of Urology Jinling Hospital Nanjing Medical University Nanjing China
                [ 4 ] Department of Radiology General Hospital of Northern Theater Command Shenyang China
                [ 5 ] Department of Urology Cancer Hospital of China Medical University Shenyang China
                [ 6 ] Department of Radiology The First Affiliated Hospital of China Medical University Shenyang China
                Author notes
                [*] [* ] Correspondence

                Zhiqiang Cao, Department of Urology, General Hospital of Northern Theater Command, Shenyang 110016, China.

                Email: 13309888392@ 123456163.com

                Guangming Lu, Department of Radiology, Jinling Hospital, Nanjing Medical University, Nanjing 210002, China.

                Email: cjr.luguangming@ 123456vip.163.com

                Author information
                https://orcid.org/0000-0003-4913-2314
                Article
                CAM43189
                10.1002/cam4.3189
                7402835
                32543025
                5cc19c73-f0a8-4dbb-b77d-d202b3f34d81
                © 2020 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 21 January 2020
                : 06 May 2020
                : 07 May 2020
                Page count
                Figures: 8, Tables: 3, Pages: 10, Words: 5412
                Funding
                Funded by: The Integrated Research and Development of Hemostatic Drugs for War Trauma Treatment
                Award ID: 2016ZX09J16103
                Funded by: The National Clinical Key Specialist Military Construction Project of China, the Clinical Medical Imaging Center Project of Jiangsu Province, China
                Award ID: YXZXA2016007
                Categories
                Original Research
                Clinical Cancer Research
                Original Research
                Custom metadata
                2.0
                August 2020
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.8.6 mode:remove_FC converted:04.08.2020

                Oncology & Radiotherapy
                computer tomography,laparoscopic nephrectomy,mixed reality,renal cell carcinoma,surgical navigation

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