Evidence map›Paper›PMID 34422986›Full record

ArticleAnnals of translational medicine2021

Virtual reality and 3D printing improve preoperative visualization of 3D liver reconstructions-results from a preclinical comparison of presentation modalities and user's preference.

Florentine Huettl, Patrick Saalfeld, Christian Hansen, Bernhard Preim, Alicia Poplawski, Werner Kneist, Hauke Lang, Tobias Huber

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 4% of its field
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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Couinaud segment-aware deep learning on point clouds for major liver resection planning.International journal of computer assisted radiology and surgery · 2026
    Article
  6. Article
  7. Article
  8. Assessing the impact of virtual reality on surgeons' mental models of complex congenital heart cases.International journal of computer assisted radiology and surgery · 2026
    Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Surgical planning in virtual reality: a systematic review.Journal of medical imaging (Bellingham, Wash.) · 2024
    Review
  15. Article
  16. Article
  17. Design of a virtual data shelf to effectively explore a large database of 3D medical surface models in VR.International journal of computer assisted radiology and surgery · 2023
    Article
  18. Article
  19. Article
  20. The future of surgical simulation.Annals of translational medicine · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Florentine HuettlDepartment of General, Visceral and Transplant Surgery, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany.
Patrick SaalfeldInstitute of Simulation and Graphics, Faculty of Computer Science, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.
Christian HansenInstitute of Simulation and Graphics, Faculty of Computer Science, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.
Bernhard PreimInstitute of Simulation and Graphics, Faculty of Computer Science, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.
Alicia PoplawskiInstitute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany.
Werner KneistDepartment of General, Visceral and Transplant Surgery, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany.
Hauke LangDepartment of General, Visceral and Transplant Surgery, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany.
Tobias HuberDepartment of General, Visceral and Transplant Surgery, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany.
Johannes Gutenberg University Mainz · DEOtto-von-Guericke University Magdeburg · DEKlinikum St. Georg · DEUniversity Medical Center of the Johannes Gutenberg University Mainz · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreoperative three-dimensional (3D) reconstructions for liver surgery planning have been shown to be effective in reduction of blood loss and operation time. However, the role of the 'presentation modality' is not well investigated. We present the first study to compare 3D PDFs, 3D printed models (PR) and virtual reality (VR) 3D models with regard to anatomical orientation and personal preferences in a high volume liver surgery center.

methodsThirty participants, 10 medical students, 10 residents, 5 fellows and 5 hepatopancreatobiliary (HPB) experts, assigned the tumor-bearing segments of 20 different patient's individual liver reconstructions. Liver models were presented in a random order in all modalities. Time needed to specify the tumor location was recorded. In addition, a score was calculated factoring in correct, wrong and missing segment assignments. Furthermore, standardized test/questionnaires for spatial thinking and seeing, vegetative side effects and usability were completed.

resultsParticipants named significantly more correct segments in VR (P=0.040) or PR (P=0.036) compared to PDF. Tumor assignment was significantly shorter with 3D PR models compared to 3D PDF (P<0.001) or VR application (P<0.001). Regardless of the modality, HPB experts were significantly faster (24±8

conclusions3D PR models and 3D VR models enable a better and partially faster anatomical orientation than reconstructions presented as 3D PDFs. User's preferred the VR application over the PR models and PDF. A prospective trial is needed to evaluate the different presentation modalities regarding intra- and postoperative outcomes.

Indexed as

3D liver reconstruction3D printingLiver surgerysurgical planningvirtual reality (VR)

Identifiers

PMID34422986
PMCPMC8339861
OpenAlexW3163228645

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.