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ArticleInternational journal of computer assisted radiology and surgery2023

Pediatric patient-specific three-dimensional virtual models for surgical decision making in resection of hepatic and retroperitoneal tumors.

Jonathan Hampshire, Bryan J Dicken, Thanuja Uruththirakodeeswaran, Kumaradevan Punithakumar, Michelle Noga

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06418243 (Non-interventional Study on the Contribution of 3D Modelling in Surgical Management of Pediatric Retroperitoneal and Pelvic Tumors Compared to 2D Imaging), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT06418243 recruitingnot on this mapstarted 2024, after this paper: background citation

Non-interventional Study on the Contribution of 3D Modelling in Surgical Management of Pediatric Retroperitoneal and Pelvic Tumors Compared to 2D Imaging

TypeobservationalSponsorAssistance Publique - Hôpitaux de ParisRan2024 to 2026Enrolled60ConditionsPelvic Tumor, Retroperitoneal Tumor
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Reshapeit: reliable shape interaction with implicit template for medical anatomy reconstruction.International journal of computer assisted radiology and surgery · 2026
    Article
  3. 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

5 authors.

Jonathan HampshireFaculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada.ORCID http://orcid.org/0000-0002-9773-2181
Bryan J DickenFaculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada.
Thanuja UruththirakodeeswaranFaculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada.
Kumaradevan PunithakumarFaculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada.
Michelle NogaFaculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada. mnoga@ualberta.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTypically, preoperative imaging is viewed in two dimensions (2D) only, but three-dimensional (3D) virtual models may improve viewers' anatomical perspective by permitting them to interact with the imaging through manipulating it in space. Research into the utility of these models in most surgical specialties is growing rapidly. This study investigates the utility of 3D virtual models of complex pediatric abdominal tumors for clinical decision making, particularly the decision to proceed with surgical resection or not.

methods3D virtual models of tumors and adjacent anatomy were created from CT images of pediatric patients scanned for Wilms tumor, neuroblastoma or hepatoblastoma. Pediatric surgeons individually assessed the resectability of the tumors. First, they assessed resectability using the standard protocol of viewing imaging on conventional screens and then reassessed resectability after being presented with the 3D virtual models. Inter-physician agreement on resectability for each patient was analyzed using Krippendorff's alpha. Inter-physician agreement was used as a surrogate for correct interpretation. Participants were also surveyed afterward on the utility and practicality of the 3D virtual models for clinical decision making.

resultsInter-physician agreement when using CT imaging alone was "fair" (Krippendorff's alpha α = 0.399), while inter-physician agreement when using 3D virtual models increased to "moderate" (Krippendorff's alpha α = 0.532). When surveyed about model utility, all 5 participants considered them helpful. Two participants felt the models would be practical for clinical use in most cases, while 3 felt they would be practical for select cases only.

conclusionThis study demonstrates the subjective utility of 3D virtual models of pediatric abdominal tumors for clinical decision making. The models are an adjunct that can be particularly useful in complicated tumors that efface or displace critical structures that may impact resectability. Statistical analysis demonstrates the improved inter-rater agreement with the 3D stereoscopic display over the 2D display. The use of 3D displays of medical images will increase over time, and evaluation of their potential usefulness in various clinical settings is necessary.

Indexed as

Abdominal NeoplasmsRetroperitoneal NeoplasmsChildDecision MakingHumansImaging, Three-DimensionalLiverModelPediatricThree-dimensionalTumor

Identifiers

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Registered trials

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.