Evidence map›Paper›PMID 40009089›Full record

Article3D printing in medicine2025

3D reconstructed models based on real cervical cancer cases for undergraduate gynecological oncology education: a pre- and post-test study.

Jingjing Zhang, Xiuying Liu, Yinye Huang, Liangyi Kong, Min Su, Zheng Hu

Abstract read
In one paragraph

Article in 3D printing in medicine, 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

6 authors.

Jingjing Zhang *Department of Gynecologic Oncology, Zhongnan Hospital of Wuhan University, 169 Donghu Road, Wuchang District, Wuhan, Hubei, China.
Xiuying Liu *Department of Radiology, Tianjin Cancer Hospital Airport Hospital, 99 East 5th Road, Air Port Economic Area, Tianjin, China.
Yinye Huang *Wuhan University School of Medicine, 115 Donghu Road, Wuchang District, Wuhan, Hubei, China.
Liangyi KongWuhan University School of Medicine, 115 Donghu Road, Wuchang District, Wuhan, Hubei, China.
Min SuDepartment of Gynecologic Oncology, Zhongnan Hospital of Wuhan University, 169 Donghu Road, Wuchang District, Wuhan, Hubei, China.
Zheng HuDepartment of Gynecologic Oncology, Zhongnan Hospital of Wuhan University, 169 Donghu Road, Wuchang District, Wuhan, Hubei, China. huzheng1998@163.com.

Funding

Comprehensive Reform Project for Undergraduate Education Quality Enhancement at Wuhan University in 2024 2024-61-9Graduate Research Credit Course Construction Project of Wuhan University 1606-413100081Undergraduate Clinical Practice Teaching Resource Construction Project of the Second Clinical College of Wuhan University 2023BK024
6 · The paper itself

Abstract

backgroundThe landscape of medical education is rapidly evolving, driven by advancements in technology. This evolution has ushered in a new era characterized by digitization, connectivity, and intelligence. In this era, traditional teaching methods are being augmented with innovative technologies such as virtual learning, artificial intelligence platforms, and access to cloud-based health platforms. One notable advancement is the integration of three-dimensional (3D) reconstructed models into medical education, particularly in fields like gynecological oncology.

methodsThis study introduces 3D reconstructed models based on real cervical cancer cases as a teaching tool for undergraduate gynecological oncology education. Participants were fourth-year Clinical Medicine students of Wuhan University, China. Using student identity document numbers for grouping, half were assigned to the control group (odd numbers) and the other half to the 3D reconstructed model teaching group (even numbers). All the students completed the pre-tests before receiving traditional teaching on cervical intraepithelial lesions and cervical cancer. The control group completed the post-tests after traditional teaching alone, while the 3D reconstructed model teaching group completed the post-tests after receiving the additional 3D reconstructed model teaching. Feedback on this innovative teaching tool was collected. The pre-tests and post-tests covered cervical intraepithelial lesions, cervical cancer and staging system, and female pelvic anatomy.

resultsThis study includes 267 students, with 134 in the control group and 133 in the 3D reconstructed model teaching group. The pre-test scores of the three tests between the control group and the 3D reconstructed model teaching group showed no statistical difference (p > 0.05). Compared to the control group, the post-test scores of the 3D reconstructed model teaching group in theoretical knowledge of cervical intraepithelial lesions and cervical cancer, female pelvic anatomy and 2018 International Federation of Gynecology and Obstetrics staging system for cervical cancer increased significantly (p < 0.05). Feedback from students underscored the visual benefits and engaging nature of the models, with many expressing that the 3D models provided a clearer representation of cervical cancer and enhanced their learning experience.

conclusionThe integration of 3D reconstructed models into medical education represents a promising approach to address the complexities of teaching intricate subjects in anatomy such as gynecological oncology. These models offer a more intuitive and thorough visualization of anatomical structures and pathological processes, fostering a hands-on and exploratory learning experience for students.

Indexed as

3D reconstructionCervical cancerFemale pelvic anatomyGynecological oncologyMedical education

Identifiers

PMID40009089
PMCPMC11863587

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LicenceCC BY-NC-ND
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Registered trials

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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.