Evidence map›Paper›PMID 38662221›Full record

ArticleChild's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery2024

Implementation of 3D modelling to improve understanding and conceptualisation of arteriovenous malformation (AVM) morphology for the execution of safe microsurgical excision of complex paediatric AVMs.

Amparo Saenz, Luke Smith, Kieran Seunarine, Adam Rennie, Fergus Robertson, Greg James, Adikarige Haritha Dulanka Silva

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Bilateral arcuate foramen decompression for posterior circulation stroke in a child-case report and literature review.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026
    Review
  2. 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

7 authors at 2 institutions in 1 country.

Amparo SaenzDepartment of Neurosurgery, Great Ormond Street Hospital for Children, NHS Foundation Trust, London, UK. Amparo_saenz@hotmail.com.
Luke SmithDepartment of Craniofacial Engineering, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Kieran SeunarineDepartment of Neuroimaging, Great Ormond Street Hospital for Children, NHS Foundation Trust, London, UK.
Adam RennieDepartment of Interventional Neuroradiology, Great Ormond Street Hospital for Children, NHS Foundation Trust, London, UK.
Fergus Robertson
Greg JamesDepartment of Neurosurgery, Great Ormond Street Hospital for Children, NHS Foundation Trust, London, UK.
Adikarige Haritha Dulanka SilvaDepartment of Neurosurgery, Great Ormond Street Hospital for Children, NHS Foundation Trust, London, UK.
Great Ormond Street Hospital for Children NHS Foundation Trust · GBGreat Ormond Street Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBrain arteriovenous malformations (bAVMs) present complex challenges in neurosurgery, requiring precise pre-surgical planning. In this context, 3D printing technology has emerged as a promising tool to aid in understanding bAVM morphology and enhance surgical outcomes, particularly in pediatric patients. This study aims to assess the feasibility and effectiveness of using 3D AVM models in pediatric bAVM surgery. METHODOLOGY: The study was conducted at Great Ormond Street Hospital, and cases were selected sequentially between October 2021 and February 2023. Eight pediatric bAVM cases with 3D models were compared to eight cases treated before the introduction of 3D printing models. The 3D modelling fidelity and clinical outcomes were assessed and compared between the two cohorts.

resultsThe study demonstrated excellent fidelity between 3D models and actual operative anatomy, with a median difference of only 0.31 mm. There was no statistically significant difference in angiographic cure rates or complications between the 3D model group and the non-3D model group. Surgical time showed a non-significant increase in cases involving 3D models. Furthermore, the 3D model cohort included higher-grade bAVMs, indicating increased surgical confidence.

conclusionThis study demonstrates the feasibility and efficacy of utilizing 3D AVM models in pediatric bAVM surgery. The high fidelity between the models and actual operative anatomy suggests that 3D modelling can enhance pre-surgical planning and intraoperative guidance without significantly increasing surgical times or complications. Further research with larger cohorts is warranted to confirm and refine the application of 3D modelling in clinical practice.

Indexed as

Arteriovenous MalformationsIntraoperative CareMicrosurgeryPatient SafetyPreoperative CarePrinting, Three-DimensionalAdolescentChildChild, PreschoolCohort StudiesFeasibility StudiesFemaleHumansInfantMaleReproducibility of ResultsArteriovenous malformationSurgical outcomesTraining

Identifiers

PMID38662221
OpenAlexW4395464121

What OpenQuestion holds

Textmetadata
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.