Evidence map›Paper›PMID 38252362›Full record

ArticleInternational journal of computer assisted radiology and surgery2024

Assessment of resectability of pancreatic cancer using novel immersive high-performance virtual reality rendering of abdominal computed tomography and magnetic resonance imaging.

Julia Madlaina Kunz, Peter Maloca, Andreas Allemann, David Fasler, Savas Soysal, Silvio Däster, Marko Kraljević, Gulbahar Syeda, Benjamin Weixler, Christian Nebiker and 7 more

Open access · hybridAbstract read
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2024. 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
0.6field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  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

17 authors at 8 institutions in 3 countries.

Julia Madlaina KunzFaculty of Medicine, University of Basel, Klingelbergstrasse 61, 4056, Basel, Switzerland.ORCID http://orcid.org/0000-0002-0183-2154
Peter MalocaInstitute of Molecular and Clinical Ophthalmology Basel (IOB), Mittlere Strasse 91, 4031, Basel, Switzerland.
Andreas AllemannClarunis, University Center for Gastrointestinal and Liver Diseases, 4002, Basel, Switzerland.
David FaslerDepartment of Radiology St. Claraspital Basel, Kleinriehenstrasse 30, 4058, Basel, Switzerland.
Savas SoysalClarunis, University Center for Gastrointestinal and Liver Diseases, 4002, Basel, Switzerland.
Silvio DästerClarunis, University Center for Gastrointestinal and Liver Diseases, 4002, Basel, Switzerland.
Marko KraljevićClarunis, University Center for Gastrointestinal and Liver Diseases, 4002, Basel, Switzerland.
Gulbahar SyedaDepartment of HPB Surgery and Liver Transplantation, Royal Free Hospital, London, NHS Foundation Trust, Pond Street, London, NW3 2Q, UK.
Benjamin WeixlerDepartment of General, Visceral and Vascular Sugery, Charité Campus Benjamin Franklin, Hindenburgdamm 20, 12203, Berlin, Germany.
Christian NebikerSurgical Department, Cantonal Hospital Aarau, Tellstrasse 25, 5001, Aarau, Switzerland.
Vincent OchsDepartment of Biomedical Engineering, University of Basel, Hegenheimermattweg 167c, 4123, Allschwil, Switzerland.
Raoul DroeserClarunis, University Center for Gastrointestinal and Liver Diseases, 4002, Basel, Switzerland.
Harriet Louise WalkerDepartment of Women's Health, University College London Hospitals, London, UK.
Martin BolliClarunis, University Center for Gastrointestinal and Liver Diseases, 4002, Basel, Switzerland.
Beat MüllerClarunis, University Center for Gastrointestinal and Liver Diseases, 4002, Basel, Switzerland.
Philippe Cattin *Department of Biomedical Engineering, University of Basel, Hegenheimermattweg 167c, 4123, Allschwil, Switzerland.
Sebastian Manuel Staubli *Faculty of Medicine, University of Basel, Klingelbergstrasse 61, 4056, Basel, Switzerland. s.staubli@nhs.net.ORCID http://orcid.org/0000-0002-0818-9835
University Hospital of Basel · CHUniversity of Basel · CHRoyal Free London NHS Foundation Trust · GBCharité - Universitätsmedizin Berlin · DEKantonsspital Aarau · CHMoorfields Eye Hospital NHS Foundation Trust · GBSt. Claraspital · CHUniversity College London · GB

Funding

Universität Basel 3MS1054
6 · The paper itself

Abstract

purposeVirtual reality (VR) allows for an immersive and interactive analysis of imaging data such as computed tomography (CT) and magnetic resonance imaging (MRI). The aim of this study is to assess the comprehensibility of VR anatomy and its value in assessing resectability of pancreatic ductal adenocarcinoma (PDAC).

methodsThis study assesses exposure to VR anatomy and evaluates the potential role of VR in assessing resectability of PDAC. Firstly, volumetric abdominal CT and MRI data were displayed in an immersive VR environment. Volunteering physicians were asked to identify anatomical landmarks in VR. In the second stage, experienced clinicians were asked to identify vascular involvement in a total of 12 CT and MRI scans displaying PDAC (2 resectable, 2 borderline resectable, and 2 locally advanced tumours per modality). Results were compared to 2D standard PACS viewing.

resultsIn VR visualisation of CT and MRI, the abdominal anatomical landmarks were recognised by all participants except the pancreas (30/34) in VR CT and the splenic (31/34) and common hepatic artery (18/34) in VR MRI, respectively. In VR CT, resectable, borderline resectable, and locally advanced PDAC were correctly identified in 22/24, 20/24 and 19/24 scans, respectively. Whereas, in VR MRI, resectable, borderline resectable, and locally advanced PDAC were correctly identified in 19/24, 19/24 and 21/24 scans, respectively. Interobserver agreement as measured by Fleiss κ was 0.7 for CT and 0.4 for MRI, respectively (p < 0.001). Scans were significantly assessed more accurately in VR CT than standard 2D PACS CT, with a median of 5.5 (IQR 4.75-6) and a median of 3 (IQR 2-3) correctly assessed out of 6 scans (p < 0.001).

conclusionVR enhanced visualisation of abdominal CT and MRI scan data provides intuitive handling and understanding of anatomy and might allow for more accurate staging of PDAC and could thus become a valuable adjunct in PDAC resectability assessment in the future.

Indexed as

Carcinoma, Pancreatic DuctalMagnetic Resonance ImagingPancreatic NeoplasmsTomography, X-Ray ComputedVirtual RealityFemaleHumansMaleMiddle AgedAnatomyInnovationMedical trainingPancreatic cancerVirtual reality

Identifiers

PMID38252362
PMCPMC11365822
OpenAlexW4391102278

What OpenQuestion holds

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LicenceCC BY
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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.