Evidence map›Paper›PMID 42567983›Full record

ArticleInternational journal of computer assisted radiology and surgery2026

Precise and minimally invasive localization of pelvic nodes during robot-assisted surgery using image-guided navigation.

Laura Aguilera Saiz, Wouter J Heerink, Harald C Groen, Marijn A J Hiep, Lisanne L P G Venix, Enzo Kerkhof, Henk G van der Poel, Esther M K Wit, Jakko A Nieuwenhuijzen, Ton A Roeleveld and 4 more

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Article in International journal of computer assisted radiology and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Laura Aguilera SaizDepartment of Surgical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands. l.aguilera@nki.nl.ORCID http://orcid.org/0009-0003-1675-1909
Wouter J HeerinkDepartment of Surgical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
Harald C GroenDepartment of Surgical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
Marijn A J HiepDepartment of Surgical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
Lisanne L P G VenixDepartment of Surgical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
Enzo KerkhofDepartment of Surgical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.
Henk G van der PoelDepartment of Urology, Netherlands Cancer Institute-Antoni Van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
Esther M K WitDepartment of Urology, Netherlands Cancer Institute-Antoni Van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
Jakko A NieuwenhuijzenDepartment of Urology, Netherlands Cancer Institute-Antoni Van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
Ton A RoeleveldProstate Cancer Network Netherlands, Amsterdam, The Netherlands.
André N VisProstate Cancer Network Netherlands, Amsterdam, The Netherlands.
Maarten L DonswijkDepartment of Nuclear Medicine, Netherlands Cancer Institute-Antoni Van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
Pim J van LeeuwenDepartment of Urology, Netherlands Cancer Institute-Antoni Van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
Theo J M RuersDepartment of Surgical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeImage-guided surgical navigation can enhance surgical precision and safety. The rise of robot-assisted surgeries has increased the need of incorporating navigation systems. Our goal is to evaluate the integration of three novel techniques on registration, instrument tracking and visualization with navigation using the robot-assisted sentinel lymph node biopsy (SLNB).

methodsA prospective feasibility study was performed at the Netherlands Cancer Institute (November 2023-July 2025). In total, 30 patients scheduled for SLNB participated. First, registration and localization accuracy were analyzed. Secondly, surgeons answered questionnaires to evaluate the ultrasound registration, instrument tracking and enhanced visualization. Virtual reality (VR) and augmented reality (AR) were compared in the last ten patients. Feasibility was determined with the sentinel nodes (SN) percentage that were successfully localized by navigation and validated ex vivo with the gamma probe.

resultsPer-protocol, the first ten patients were used for workflow optimization; the subsequent 20 patients were included in the analysis. Ultrasound registration was fast (7 min), accurate (0.1 cm) and intuitive. Tracked instruments were well-integrated and helped to localize precisely the SN (0.3 cm). Surgeons preferred VR while opening the resection path to find the SN and AR in proximity for exact localization. Using navigation, successful identification was achieved in 90% (45/50) SN. No navigation-related complications occurred.

conclusionsIntegrating ultrasound registration, instrument tracking and enhanced visualization during robot-assisted surgery has the potential to improve clinical use and localization of navigation in robot-assisted surgeries. These techniques allow to safely identify and remove pre-defined small pelvic lymph nodes in the pelvis.

Indexed as

Augmented realityElectromagnetic trackingImage-guided surgical navigationRobot-assisted surgeryUltrasoundVirtual reality

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.