Evidence map›Paper›PMID 41745421›Full record

ArticleJournal of imaging2026

Use of Patient-Specific 3D Models in Paediatric Surgery: Effect on Communication and Surgical Management.

Cécile O Muller, Lydia Helbling, Theodoros Xydias, Jeanette Greiner, Valérie Oesch, Henrik Köhler, Tim Ohletz, Jatta Berberat

Abstract read
In one paragraph

Article in Journal of imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Cécile O MullerPaediatric Surgery Department, Cantonal Hospital Aarau, Tellstrasse 25, 5001 Aarau, Switzerland.
Lydia HelblingPaediatric Surgery Department, Cantonal Hospital Aarau, Tellstrasse 25, 5001 Aarau, Switzerland.
Theodoros XydiasPaediatric Radiology Department, Cantonal Hospital Aarau, Tellstrasse 25, 5001 Aarau, Switzerland.
Jeanette GreinerPaediatric Oncology Department, Cantonal Hospital Aarau, Tellstrasse 25, 5001 Aarau, Switzerland.
Valérie OeschPaediatric Surgery Department, Cantonal Hospital Aarau, Tellstrasse 25, 5001 Aarau, Switzerland.
Henrik KöhlerPaediatric Department, Cantonal Hospital Aarau, Tellstrasse 25, 5001 Aarau, Switzerland.ORCID 0000-0002-3197-329X
Tim OhletzRadiology Department and 3D Lab, Cantonal Hospital Aarau, Tellstrasse 25, 5001 Aarau, Switzerland.
Jatta BerberatNeuroradiology Department, Cantonal Hospital Aarau, Tellstrasse 25, 5001 Aarau, Switzerland.ORCID 0000-0002-6551-8308

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Children with rare tumours and malformations may benefit from innovative imaging, including patient-specific 3D models that can enhance communication and surgical planning. The primary aim was to evaluate the impact of patient-specific 3D models on communication with families. The secondary aims were to assess their influence on medical management and to establish an efficient post-processing workflow. From 2021 to 2024, we prospectively included patients aged 3 months to 18 years with rare tumours or malformations. Families completed questionnaires before and after the presentation of a 3D model generated from MRI sequences, including peripheral nerve tractography. Treating physicians completed a separate questionnaire before surgical planning. Analyses were performed in R. Among 21 patients, diagnoses included 11 tumours, 8 malformations, 1 trauma, and 1 pancreatic pseudo-cyst. Likert scale responses showed improved family understanding after viewing the 3D model (mean score 3.94 to 4.67) and a high overall evaluation (mean 4.61). Physicians also rated the models positively. An efficient image post-processing workflow was defined. Although manual 3D reconstruction remains time-consuming, these preliminary results show that colourful, patient-specific 3D models substantially improve family communication and support clinical decision-making. They also highlight the need for supporting the development of MRI-based automated segmentation softwares using deep neural networks, which are clinically approved and usable in routine practice.

Indexed as

communicationpaediatric rare diseasespatient-specific 3D models

Identifiers

PMID41745421
PMCPMC12941655

What Socratic 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 Socratic graph.