Evidence map›Paper›PMID 35402946›Full record

ArticleIEEE open journal of engineering in medicine and biology2020

A Multimodal Pancreas Phantom for Computer-Assisted Surgery Training.

Benjamin Eigl, Caroline Haslebacher, Philip C Muller, Andreas Andreou, Beat Gloor, Matthias Peterhans

Abstract read
In one paragraph

Article in IEEE open journal of engineering in medicine and biology, 2020. 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. 3D Modelling for Preoperative Planning, Intraoperative Navigation, and Training in Pancreatic Surgery: A Systematic Review.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2026
    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

6 authors.

Benjamin EiglARTORG Center for Biomedical Engineering ResearchUniversity of Bern Bern 3012 Switzerland.ORCID https://orcid.org/0000-0002-0880-7963
Caroline HaslebacherCAScination Bern 3008 Switzerland.ORCID https://orcid.org/0000-0003-0674-1216
Philip C MullerDepartment of Visceral and Transplant SurgeryUniversity Hospital Zurich Zurich 8091 Switzerland.
Andreas AndreouDepartment of Visceral Surgery and MedicineUniversity Hospital of Bern Bern 3012 Switzerland.
Beat GloorDepartment of Visceral Surgery and MedicineUniversity Hospital of Bern Bern 3012 Switzerland.
Matthias PeterhansCAScination AG Bern 3008 Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Training of surgical residents and the establishment of innovative surgical techniques require training phantoms that realistically mimic human anatomy. Because animal models have their limitations due to ethical aspects, costs, and the required efforts to set up such training, artificial phantoms are a promising alternative. In the field of image-guided surgery, the challenge lies in developing phantoms that are accurate both anatomically and in terms of imaging properties, while taking the cost factor into account. With respect to the pancreas, animal models are less suitable because their anatomy differs significantly from human anatomy and tissue properties rapidly degrade in the case of ex vivo models. Nevertheless, progress with artificial phantoms has been sparse, although the need for innovative, minimally invasive therapies that require adequate training is steadily increasing.

Indexed as

Artificialcomputed-tomographypancreasphantomultrasound

Identifiers

PMID35402946
PMCPMC8975253

What OpenQuestion holds

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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.