Integration of Three-Dimensional Liver Models in a Multimodal Image-Guided Robotic Liver Surgery Cockpit

被引:15
作者
Bijlstra, Okker D. [1 ,2 ]
Broersen, Alexander [3 ]
Oosterveer, Timo T. M. [4 ]
Faber, Robin A. [1 ]
Achterberg, Friso B. [1 ]
Hurks, Rob [5 ]
Burgmans, Mark C. [4 ]
Dijkstra, Jouke [3 ]
Mieog, J. Sven D. [1 ]
Vahrmeijer, Alexander L. [1 ]
Swijnenburg, Rutger-Jan [2 ]
机构
[1] Leiden Univ, Dept Surg, Med Ctr, NL-2333 ZA Leiden, Netherlands
[2] Univ Amsterdam, Amsterdam Univ Med Ctr, Canc Ctr Amsterdam, Dept Surg, NL-1081 HV Amsterdam, Netherlands
[3] Leiden Univ, Dept Radiol, Sect Image Proc, Med Ctr, NL-2333 ZA Leiden, Netherlands
[4] Leiden Univ, Dept Radiol, Sect Intervent Radiol, Med Ctr, NL-2333 ZA Leiden, Netherlands
[5] Univ Amsterdam, Dept Radiol, Med Ctr, NL-1081 HV Amsterdam, Netherlands
来源
LIFE-BASEL | 2022年 / 12卷 / 05期
关键词
robotic surgery; liver surgery; multimodal imaging; image-guided surgery; virtual reality; 3D; RESECTION; METASTASES;
D O I
10.3390/life12050667
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: Robotic liver surgery represents the most recent evolution in the field of minimally-invasive liver surgery. For planning and guidance of liver resections, surgeons currently rely on preoperative 2-dimensional (2D) CT and/or MR imaging and intraoperative ultrasonography. Translating 2D images into digital 3-dimensional (3D) models may improve both preoperative planning and surgical guidance. The da Vinci (R) robotic surgical system is a platform suitable for the integration of multiple imaging modalities into one single view. In this study, we describe multimodal imaging options and introduce the Robotic Liver Surgery Cockpit; Methods: in-house developed software was used and validated for segmentation and registration to create a virtual reality 3D model of the liver based on preoperative imaging. The accuracy of the 3D models in the clinical setting was objectively assessed in 15 patients by measuring tumor diameters and subjectively with a postoperative conducted questionnaire; Results: Implementation and applicability of the 3D model in the surgical cockpit was feasible in all patients and the quality of the 3D reconstructions was high in 14 (93%) of cases. Tumor diameters measured on CT and/or MR imaging were comparable to automated measurements using the segmentation software and 3D models; Conclusions: the 3D model was successfully incorporated in the robotic surgery console as part of a multimodality imaging platform and aided the surgeon in planning and guidance of the resection. Future studies should focus on further automation of 3D rendering and progress into augmented reality.
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页数:11
相关论文
共 22 条
[1]   Real-time surgical margin assessment using ICG-fluorescence during laparoscopic and robot-assisted resections of colorectal liver metastases [J].
Achterberg, Friso B. ;
Mulder, Babs G. Sibinga ;
Meijer, Ruben P. J. ;
Bonsing, Bert A. ;
Hartgrink, Henk H. ;
Mieog, J. Sven D. ;
Zlitni, Aimen ;
Park, Seung-min ;
Sarasqueta, Arantza Farina ;
Vahrmeijer, Alexander L. ;
Swijnenburg, Rutger-Jan .
ANNALS OF TRANSLATIONAL MEDICINE, 2020, 8 (21)
[2]   Long-Term and Oncologic Outcomes of Robotic Versus Laparoscopic Liver Resection for Metastatic Colorectal Cancer: A Multicenter, Propensity Score Matching Analysis [J].
Beard, Rachel E. ;
Khan, Sidrah ;
Troisi, Roberto I. ;
Montalti, Roberto ;
Vanlander, Aude ;
Fong, Yuman ;
Kingham, T. Peter ;
Boerner, Thomas ;
Berber, Eren ;
Kahramangil, Bora ;
Buell, Joseph F. ;
Martinie, John B. ;
Vrochides, Dionisios ;
Shen, Chengli ;
Molinari, Michele ;
Geller, David A. ;
Tsung, Allan .
WORLD JOURNAL OF SURGERY, 2020, 44 (03) :887-895
[3]   Three-dimensional visualisation improves understanding of surgical liver anatomy [J].
Beermann, Judith ;
Tetzlaff, Ralf ;
Bruckner, Thomas ;
Schoeebinger, Max ;
Mueller-Stich, Beat P. ;
Gutt, Carsten N. ;
Meinzer, Hans-Peter ;
Kadmon, Martina ;
Fischer, Lars .
MEDICAL EDUCATION, 2010, 44 (09) :936-940
[4]   Augmented environments for the targeting of hepatic lesions during image-guided robotic liver surgery [J].
Buchs, Nicolas C. ;
Volonte, Francesco ;
Pugin, Francois ;
Toso, Christian ;
Fusaglia, Matteo ;
Gavaghan, Kate ;
Majno, Pietro E. ;
Peterhans, Matthias ;
Weber, Stefan ;
Morel, Philippe .
JOURNAL OF SURGICAL RESEARCH, 2013, 184 (02) :825-831
[5]   Impact of Three-Dimensional Reconstruction Technique in the Operation Planning of Centrally Located Hepatocellular Carcinoma [J].
Fang, Chi-hua ;
Tao, Hai-su ;
Yang, Jian ;
Fang, Zhao-shan ;
Cai, Wei ;
Liu, Jun ;
Fan, Ying-fang .
JOURNAL OF THE AMERICAN COLLEGE OF SURGEONS, 2015, 220 (01) :28-37
[6]   Laparoscopic Versus Open Resection for Colorectal Liver Metastases The OSLO-COMET Randomized Controlled Trial [J].
Fretland, Asmund Avdem ;
Dagenborg, Vegar Johansen ;
Bjornelv, Gudrun Maria Waaler ;
Kazaryan, Airazat M. ;
Kristiansen, Ronny ;
Fagerland, Morten Wang ;
Hausken, John ;
Tonnessen, Tor Inge ;
Abildgaard, Andreas ;
Barkhatov, Leonid ;
Yaqub, Sheraz ;
Rosok, Bard I. ;
Bjornbeth, Bjorn Atle ;
Andersen, Marit Helen ;
Flatmark, Kjersti ;
Aas, Eline ;
Edwin, Bjorn .
ANNALS OF SURGERY, 2018, 267 (02) :199-207
[7]   Long-term follow-up after near-infraied fluorescence-guided resection of colorectal liver metastases: A retrospective multicenter analysis [J].
Handgraaf, H. J. M. ;
Boogerd, L. S. F. ;
Hoppener, D. J. ;
Peloso, A. ;
Mulder, B. G. Sibinga ;
Hoogstins, C. E. S. ;
Hartgrink, H. H. ;
van de Velde, C. J. H. ;
Mieog, J. S. D. ;
Swijnenburg, R. J. ;
Putter, H. ;
Maestri, M. ;
Braat, A. E. ;
Frangioni, J. V. ;
Vahrmeijer, A. L. .
EJSO, 2017, 43 (08) :1463-1471
[8]  
Kazaryan Airazat M, 2013, ISRN Surg, V2013, P625093, DOI 10.1155/2013/625093
[9]   Use of the Resection Map system as guidance during hepatectomy [J].
Lamata, Pablo ;
Lamata, Felix ;
Sojar, Valentin ;
Makowski, Piotr ;
Massoptier, Laurent ;
Casciaro, Sergio ;
Ali, Wajid ;
Studeli, Thomas ;
Declerck, Jerome ;
Elle, Ole Jackov ;
Edwin, Bjorn .
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES, 2010, 24 (09) :2327-2337
[10]   Short- and Long-term Outcomes after Robotic and Laparoscopic Liver Resection for Malignancies: A Propensity Score-Matched Study [J].
Lim, Chetana ;
Salloum, Chady ;
Tudisco, Antonella ;
Ricci, Claudio ;
Osseis, Michael ;
Napoli, Niccolo ;
Lahat, Eylon ;
Boggi, Ugo ;
Azoulay, Daniel .
WORLD JOURNAL OF SURGERY, 2019, 43 (06) :1594-1603