Evidence map›Paper›PMID 40496613›Full record

ArticleFrontiers in oncology2025

From virtual to reality: application of a novel 3D printing hollow model for early-stage lung cancer in the clinical teaching of thoracoscopic sublobar resection.

Di Yang, Yafei Miao, Linqian Li, Qing Yu, Qiang Guo, Hefei Li, Xuguang Zhang, Shujie Cheng, Jinghua Li, Ke Zhang

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Di Yang *Clinical Medical College of Hebei University, Affiliated Hospital of Hebei University, Baoding, China.
Yafei Miao *Clinical Medical College of Hebei University, Affiliated Hospital of Hebei University, Baoding, China.
Linqian Li *Institute of Life Science and Green Development, Hebei University, Baoding, China.
Qing Yu *Clinical Medical College of Hebei University, Affiliated Hospital of Hebei University, Baoding, China.
Qiang Guo *Thoracic Surgery Department, Affiliated Hospital of Hebei University, Baoding, China.
Hefei Li *Thoracic Surgery Department, Affiliated Hospital of Hebei University, Baoding, China.
Xuguang Zhang *Thoracic Surgery Department, Affiliated Hospital of Hebei University, Baoding, China.
Shujie Cheng *Basic Research Key Laboratory of General Surgery for Digital Medicine, Affiliated Hospital of Hebei University, Baoding, Hebei, China.
Jinghua Li *Basic Research Key Laboratory of General Surgery for Digital Medicine, Affiliated Hospital of Hebei University, Baoding, Hebei, China.
Ke Zhang *Thoracic Surgery Department, Affiliated Hospital of Hebei University, Baoding, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The integration of medical-engineering interdisciplinary technology has transformed clinical skills and anatomical knowledge teaching. Three-dimensional printing (3DP), an innovative tool, shows promise in enhancing surgical training and anatomical understanding. This study evaluates the educational efficacy of a 3DP lung cancer model optimized for surgery in teaching thoracoscopic sublobar resection. Methods: A total of 62 clinical interns were randomly assigned into two groups: a 3D visualization (3DV) model group and a 3DP model group. Pre- and post-teaching test scores were compared to assess the effectiveness of both models in enhancing anatomical knowledge and surgical skills. Additionally, feedback was collected from the interns regarding the advantages of each model. Results: There was no significant difference in the pre-teaching test scores between the two groups ( Conclusion: The 3DP model, featuring a transparent hollow sublobar boundary, significantly improved comprehension of complex anatomical relationships and enhanced teaching outcomes in surgical skills. It offers an innovative and effective tool for teaching thoracoscopic sublobar resection, with potential applications in surgical navigation.

Indexed as

3D printing3D visualizationclinical teachingmedical educationsublobar resection

Identifiers

PMID40496613
PMCPMC12149187

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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.