Evidence map›Paper›PMID 40558894›Full record

ArticleJournal of functional biomaterials2025

A 3D-Printed Anatomical Pancreas Model for Robotic-Assisted Minimally Invasive Surgery.

Calin Vaida, Andra Ciocan, Andrei Caprariu, Corina Radu, Nadim Al Hajjar, Doina Pisla

Abstract read
In one paragraph

Article in Journal of functional biomaterials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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.

Calin VaidaCESTER, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania.ORCID 0000-0003-2822-9790
Andra CiocanCESTER, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania.ORCID 0000-0003-0126-6428
Andrei CaprariuCESTER, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania.
Corina RaduCESTER, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania.
Nadim Al HajjarCESTER, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania.
Doina PislaCESTER, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania.ORCID 0000-0001-7014-9431

Funding

NextGenerationEU contract no 760072/23.05.2023, code CF 116/15.11.2022
6 · The paper itself

Abstract

The paper presents the design, manufacturing, and evaluation of a 3D-printed pancreas phantom model used for preoperative surgical planning and surgical training. Several manufacturing and design alternatives have been explored, leading to the final solution, which consisted of a transparent 3D printed elastic shell of the pancreas, resulting in an empty volume that was filled with a custom hydrogel to ensure an anatomically realistic behaviour. Additionally, specific vascular structures were printed using elastic material and specific colours. The hollow shell of the pancreas and the vascular structures were manufactured using photopolymerisation technology. The hydrogel, which replicates the internal structure of the pancreas, was made from a custom proportion of gelatine, agar, and glycerol. The phantom model of the pancreas was assessed by the surgical team and tested using the PARA-SILSROB parallel robot designed for single-incision surgical procedures.

Indexed as

additive manufacturingpancreatic phantom modelpreoperative surgical planningrobotic-assisted surgical training

Identifiers

PMID40558894
PMCPMC12194441

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.