Evidence map›Paper›PMID 39688666›Full record

ReviewChirurgie (Heidelberg, Germany)2025

[Virtual reality in liver surgery-Planning, advanced training, testing].

Tobias Huber, Florentine Huettl, Lukas Vradelis, Verena Tripke, Danny Schott, Vuthea Chheang, Patrick Saalfeld, Mareen Allgaier, Sylvia Saalfeld, Bernhard Preim and 3 more

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Chirurgie (Heidelberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Tobias HuberKlinik für Allgemein‑, Viszeral- und Transplantationschirurgie, Universitätsmedizin Mainz, Mainz, Deutschland. Tobias.huber@unimedizin-mainz.de.
Florentine HuettlKlinik für Allgemein‑, Viszeral- und Transplantationschirurgie, Universitätsmedizin Mainz, Mainz, Deutschland.
Lukas VradelisKlinik für Allgemein‑, Viszeral- und Transplantationschirurgie, Universitätsmedizin Mainz, Mainz, Deutschland.
Verena TripkeKlinik für Allgemein‑, Viszeral- und Transplantationschirurgie, Universitätsmedizin Mainz, Mainz, Deutschland.
Danny SchottInstitut für Simulation und Grafik, Fakultät für Informatik, Otto von Guericke Universität Magdeburg, Magdeburg, Deutschland.
Vuthea ChheangInstitut für Simulation und Grafik, Fakultät für Informatik, Otto von Guericke Universität Magdeburg, Magdeburg, Deutschland.
Patrick SaalfeldInstitut für Simulation und Grafik, Fakultät für Informatik, Otto von Guericke Universität Magdeburg, Magdeburg, Deutschland.
Mareen AllgaierInstitut für Simulation und Grafik, Fakultät für Informatik, Otto von Guericke Universität Magdeburg, Magdeburg, Deutschland.
Sylvia SaalfeldInstitut für Simulation und Grafik, Fakultät für Informatik, Otto von Guericke Universität Magdeburg, Magdeburg, Deutschland.
Bernhard PreimInstitut für Simulation und Grafik, Fakultät für Informatik, Otto von Guericke Universität Magdeburg, Magdeburg, Deutschland.
Christian HansenInstitut für Simulation und Grafik, Fakultät für Informatik, Otto von Guericke Universität Magdeburg, Magdeburg, Deutschland.
Laura Isabel HankeKlinik für Allgemein‑, Viszeral- und Transplantationschirurgie, Universitätsmedizin Mainz, Mainz, Deutschland.
Hauke LangKlinik für Allgemein‑, Viszeral- und Transplantationschirurgie, Universitätsmedizin Mainz, Mainz, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anatomical structures of the liver could be reconstructed three dimensionally from preoperative cross-sectional imaging for over 20 years. This three-dimensional (3D) representation not only optimizes the preoperative planning options but also the communication of specific operation-relevant structures can be improved using 3D models. In addition to a plastic and interactive visualization of 3D organ models, the disruptive technology of virtual reality (VR) can also provide a possibility for structured training and further education regarding surgical anatomy of the liver and operation planning. This makes examinations in virtual reality also seem tangible. The latest prototypes even enable patient-specific simulation of intraoperative sonography. This review article provides an overview of the current status of available technologies for training and further education using VR exemplified by liver surgery.

Indexed as

HepatectomyLiverSurgery, Computer-AssistedVirtual RealityHumansImaging, Three-Dimensional3D sectional imagingAdvanced trainingLiver anatomyOperation planningSimulation

Identifiers

PMID39688666

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.