Evidence map›Paper›PMID 41146053›Full record

ArticleBMC pediatrics2025

Virtual reality-assisted preoperative planning for pediatric thoracoscopic segmentectomy: a retrospective study.

Yang Wang, Yang Xu, Zhiqi Wang, Mingtang Ye, Runsen Chen, Min Da, Jirong Qi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. True-3D Holography for Preoperative Planning in Pediatric Thoracoscopic Lung Segmentectomy.Pediatrics international : official journal of the Japan Pediatric Society
    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

7 authors.

Yang Wang *Clinical Medical School, Qinghai University, Xining, China.
Yang Xu *Department of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, Nanjing, China.
Zhiqi Wang *Department of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, Nanjing, China.
Mingtang YeDepartment of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, Nanjing, China.
Runsen ChenDepartment of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, Nanjing, China.
Min DaDepartment of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, Nanjing, China. damingirlnanjing@126.com.
Jirong QiDepartment of Cardiothoracic Surgery, Children's Hospital of Nanjing Medical University, Nanjing, China. ertongxinlianxin@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCongenital cystic lung malformations (CCLM) increasingly require parenchyma-sparing resections. While thoracoscopic segmentectomy offers tissue preservation benefits, its complexity demands advanced preoperative visualization. This study evaluates head-mounted display virtual reality (HMD-VR) for surgical planning in pediatric segmentectomies.

methodsNineteen children (4 to 148 months) underwent VR-assisted thoracoscopic segmentectomy. Patient-specific three-dimensional (3D) models were generated using Medicalholodeck

resultsAll procedures (100%) were completed thoracoscopically without conversion. Mean operative time was 116.3 ± 45.5 min with blood loss of 29.5 ± 20.6 ml. Pathologies comprised congenital pulmonary airway malformation (78.9%, CPAM) and others (21.1%, bronchial atresia, pulmonary sequestration, and lobar emphysema). 26.3% of cases required combined segmentectomy due to lesions spanning ≥ 2 segments. For these patients, hospital stay, intraoperative blood loss, operative time, and duration of chest tube drainage were significantly higher than for single segmentectomies (P < 0.01), although there was no significant difference in postoperative complications. Postoperative follow-up at 1, 3, and 6 months demonstrated satisfactory recovery in all patients, with no respiratory symptoms, recurrence, or mortality.

conclusionsHMD-VR enables precise spatial mapping of complex pediatric pulmonary anatomy, facilitating safe thoracoscopic segmentectomies even for multi-segmental lesions. Its immersive planning optimizes surgical trajectories and mitigates intraoperative risks, demonstrating transformative potential for parenchymal preservation in CCLM management.

Indexed as

Cystic Adenomatoid Malformation of Lung, CongenitalPneumonectomySurgery, Computer-AssistedThoracoscopyVirtual RealityAdolescentBlood Loss, SurgicalChildChild, PreschoolFeasibility StudiesFemaleHumansImaging, Three-DimensionalInfantMaleOperative TimeCongenital cystic lung malformationHead-mounted displayPediatricsThoracoscopic segmentectomyVirtual reality

Identifiers

PMID41146053
PMCPMC12560611

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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.