Evidence map›Paper›PMID 40959923›Full record

ArticleRadiology and oncology2025

The implementation of a robotic surgical platform for the treatment of patients with malignant or pre-malignant pancreatic tumors at the University Medical Center Ljubljana.

Miha Petric, Patricio Marcelo Polanco, Jan Grosek, Ales Tomazic, Blaz Trotovsek, Bostjan Plesnik

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Article in Radiology and oncology, 2025. 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Miha PetricDepartment of Abdominal Surgery, University Medical Center Ljubljana, Ljubljana, Slovenia.
Patricio Marcelo PolancoDivision of Surgical Oncology, UT Southwestern Medical Center, Dallas, TX, USA.
Jan GrosekDepartment of Abdominal Surgery, University Medical Center Ljubljana, Ljubljana, Slovenia.
Ales TomazicDepartment of Abdominal Surgery, University Medical Center Ljubljana, Ljubljana, Slovenia.
Blaz TrotovsekDepartment of Abdominal Surgery, University Medical Center Ljubljana, Ljubljana, Slovenia.
Bostjan PlesnikDepartment of Abdominal Surgery, University Medical Center Ljubljana, Ljubljana, Slovenia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRobotic platforms are increasingly employed in the field of minimally invasive pancreatic surgery. It is essential to develop an innovative method that ensures both safety and efficacy, producing outcomes comparable to those of established treatment modalities. Implementation process should incorporate surgical science, education, local implementation, and non-technical skills. In our study, we describe the safe implementation of a robotic platform in pancreatic surgery within our medical institution. PATIENTS AND

methodsWe analysed prospectively collected data from the first ten consecutive robotic-assisted distal pancreatectomies (RDP) and pancreatoduodenectomies (RPD). Due to nature of the study basic statistical analysis were performed.

resultsThe mean operating time was 211minutes (±49.4) for RDP and 365 minutes (±69.6) for RPD, with blood loss 330 mL for RDP and 195 mL for RPD. Hospital stay was 8.7 days (±3.9) in RDP and 7.9 days (±3.9) in RPD. One patient (10%) in the RDP group developed clinically relevant postoperative pancreatic fistula (CR-POPF) and delayed gastric emptying (DGE). The mean tumour size was 31 mm (±9.8) in the RDP and 27 mm (±7.5) in the RPD. The mean number of lymph nodes harvested was 6 (0-24) in the RDP and 15 (6-22) in the RPD. The R0 resection rate was 60% in the RDP and 70% in the RPD.

conclusionsRobotic surgical technology can be safely and effectively integrated into a clinical setting. This integration should be facilitated through a well-established training program and curriculum. Nonetheless, patient selection is important, especially in the early phases of robotic program development.

Indexed as

PancreatectomyPancreatic NeoplasmsPancreaticoduodenectomyRobotic Surgical ProceduresAcademic Medical CentersAdultAgedFemaleHumansLength of StayMaleMiddle AgedOperative TimeProspective StudiesTreatment Outcomeimplementationminimal invasive surgeryrobotic pancreatic surgery

Identifiers

PMID40959923
PMCPMC12441891

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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.