Evidence map›Paper›PMID 39687329›Full record

ArticleTherapeutic advances in urology

Metaverse surgical planning for robotic surgery: preliminary experience and users' perception.

Gabriele Volpi, Cecilia Gatti, Alberto Quarà, Federico Piramide, Daniele Amparore, Paolo Alessio, Sabrina De Cillis, Marco Colombo, Giovanni Busacca, Michele Sica and 7 more

Abstract read
In one paragraph

Article in Therapeutic advances in urology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Gabriele VolpiDepartment of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Strada Provinciale 142, km 3.95 - 10060 Candiolo, Turin, Italy.
Cecilia GattiDepartment of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Turin, Italy.
Alberto QuaràDepartment of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano (TO), Piemonte, Italy.
Federico PiramideDepartment of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano (TO), Piemonte, Italy.
Daniele AmparoreDepartment of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano (TO), Piemonte, Italy.
Paolo AlessioDepartment of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Turin, Italy.
Sabrina De CillisDepartment of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano (TO), Piemonte, Italy.
Marco ColomboDepartment of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano (TO), Piemonte, Italy.
Giovanni BusaccaDepartment of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano (TO), Piemonte, Italy.
Michele SicaDepartment of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano (TO), Piemonte, Italy.
Paolo VerriDepartment of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano (TO), Piemonte, Italy.ORCID https://orcid.org/0000-0002-3662-6828
Alberto PianaRomolo Hospital, Rocca di Neto (KR), Italy.
Stefano AlbaDivision of Urology, Department of Surgery, SS Annunziata Hospital, Cosenza, Italy.
Michele Di DioDivision of Urology, Department of Surgery, SS Annunziata Hospital, Cosenza, Italy.
Cristian FioriDepartment of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano (TO), Piemonte, Italy.
Francesco PorpigliaDepartment of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano (TO), Piemonte, Italy.
Enrico CheccucciDepartment of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Turin, Italy.ORCID https://orcid.org/0000-0001-7901-5608

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The 3D models' use for surgical planning has recently gained an ever-wider popularity, in particular in the urological field. Different ways of fruition of this technology have been evaluated over the years. Today, new technological developments allow us to enjoy 3D models in the metaverse. Objectives: The aim of this study is to report the preliminary experience and surgeon's perception of preoperative planning performed in the metaverse. Design: During the eleventh edition of the Techno-Urology Meeting, all the attendees enjoyed the metaverse experience (META_EXP) for pre-surgical planning of both robot-assisted radical prostatectomy and partial nephrectomy. Users' perception was then evaluated with the Health Information Technology Usability Evaluation Scale (Health-ITUES) and the Face & Content validity questionnaire. Methods: The 3D virtual models, obtained from standard bi-dimensional imaging, were uploaded on a metaverse platform. Surgeons, thanks to dedicated visors, could plan their surgical strategy immersed in this virtual environment and discuss it with other attendees. Answers to the questionnaires were then evaluated and a stratification was subsequently performed based on surgical expertise, dividing participants in residents (Re), young urologists (YU) and senior urologists (SU). Results: Sixty-six participants filled out the questionnaires. As emerged from the Health-ITUES questionnaire, META_EXP covers an important role in the presurgical/surgical planning and decision-making process and appears to be useful for preoperative planning, with a median response of 4 and 5, respectively. Such results were also confirmed at the Face & Content validity questionnaire, with a median rate of 9/10 regarding its usefulness for surgical planning. Also, anatomical accuracy was positively rated regarding both organ's and disease's details, with a median response of 9. Conclusion: In conclusion, the metaverse experience for preoperative surgical planning appears to be useful, user-friendly and accurate. This technology has been widely appreciated by surgeons, irrespective of their experience.

Indexed as

3D modelskidney cancermetaversenew technologiesprostate cancerrobotic surgery

Identifiers

PMID39687329
PMCPMC11648019

What OpenQuestion holds

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Registered trials

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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.