Virtual reality volumetric rendering versus cross-sectional imaging for pancreatic cancer resectability assessment: a pilot randomized controlled reader study
Current imaging assessment for pancreatic cancer resectability demonstrates problematic inter-observer variability, with only fair-to-moderate agreement among experienced raters. Virtual reality technology offers stereoscopic three-dimensional visualization that may improve diagnostic accuracy and agreement. However, optimal visualization strategies for clinical adoption remain unclear. Ten hepatopancreatobiliary surgeons from two high-volume centers were randomized 1:1 to assess twelve contrast-enhanced CT cases using either VR volumetric rendering or CSI. Primary outcomes included inter-rater agreement, diagnostic accuracy against expert reference standard, assessment time, and surgeon confidence. Statistical analysis employed Fleiss’ κ for inter-rater agreement and two-sided Mann–Whitney U tests on surgeon-level summary measures for between-group comparisons. CSI display on 2D screens achieved substantial inter-rater agreement for resectability assessment (κ = 0.609) while VR demonstrated only slight agreement (κ = 0.127). Diagnostic accuracy was superior with CSI (84.7% vs. 79.7%), with the most pronounced difference in resectability determination (83.3% vs. 58.3%, p = 0.033). VR users reported significantly lower confidence (4.85 ± 1.15 vs. 6.32 ± 0.77, p = 0.028). Assessment times were comparable between groups (median 313.5 s vs. 327.5 s, p = 1.00). In this preliminary investigation, our VR visualization strategy demonstrated lower diagnostic accuracy and inter-rater agreement than CSI. However, prior studies suggest that VR systems employing alternative, hybrid visualization approaches may improve inter-rater agreement, indicating that visualization strategy, rather than VR technology per se, is the primary determinant of utility. DRKS00033932 (German Clinical Trials Register), registered prospectively.
Authors
- Karl Eisenträger (ORCID: https://orcid.org/0000-0001-8090-9246)
- Thomas Malinka (ORCID: https://orcid.org/0000-0002-5860-5710)
- Pedro Luã Machado Pereira
- Kaya Sarıbeyoğlu (ORCID: https://orcid.org/0000-0002-8838-4656)
- Lea Timmermann (ORCID: https://orcid.org/0000-0003-0122-7744)
- Wenzel Schöning (ORCID: https://orcid.org/0000-0002-0446-5126)
- Moritz Queisner (ORCID: https://orcid.org/0000-0001-7917-9231)
- Andreas Pascher (ORCID: https://orcid.org/0000-0002-0358-7586)
- Haluk Mehmet Morgul
- B Strücker
- Matthäus Felsenstein
- Uli Fehrenbach
- Johann Pratschke
- Igor Maximilian Sauer
Institutions
- Humboldt-Universität zu Berlin (DE)
- University Hospital Münster (DE)
- Deutsche Forschungsgemeinschaft (DE)
Publication Details
- Journal
- Bioelectronic Medicine
- Published
- 2026-03-09
- DOI
- https://doi.org/10.1186/s42234-026-00202-2
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Deutsche Forschungsgemeinschaft