Evidence map›Paper›PMID 42387519›Full record

Trial reportBMC medical education2026

Application of case-based learning combined with three-dimensional image reconstruction technology in clinical teaching of liver ultrasound.

Yanyan Wu, Fang Liu, Hui Zhang

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC medical education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Yanyan WuDepartment of Ultrasound, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Fang LiuDepartment of Ultrasound, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Hui ZhangDepartment of Ultrasound, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China. Zhanghuics@med.uestc.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study explored the effectiveness of case-based learning (CBL) combined with three-dimensional (3D) image reconstruction technology for liver ultrasound training among standardized training residents.

methodsA total of 60 resident physicians receiving standardized training at the Ultrasound Department of Sichuan Provincial People's Hospital between December 2020 and December 2023 were enrolled. Following a baseline pre-course assessment, participants were randomly assigned to two groups. The experimental group (n = 30) received instruction using a combination of imaging 3D reconstruction technology and CBL, while the control group (n = 30) received traditional teaching, including instructor-led lectures with PowerPoint, anatomical atlases and routine ultrasound images, as well as hands-on training following standard operational demonstrations. Both groups completed 20 class hours. After completion, their performance was evaluated using objective, standardized practical assessments covering liver ultrasound scanning, segmentation, lesion localization, and qualitative diagnosis. In addition, participants' perceptions and satisfaction were measured using a structured questionnaire with Likert-scale items.

resultsThe experimental group scored significantly higher than the control group in all five aspects of the questionnaire survey (p < 0.05). In addition, the experimental group achieved higher scores in basic liver ultrasound scanning, hepatic segmentation and focal liver lesion localization (all p < 0.05). However, there was no significant difference between the two groups in the qualitative diagnosis assessment of liver mass lesions (p > 0.05). DISCUSSION: These findings suggest that integrating CBL with imaging 3D reconstruction technology in liver ultrasound training can effectively enhance the learning outcomes of junior residents. This approach not only improves practical skills but also stimulates intrinsic learning interest, indicating its potential as a promising new teaching model in clinical education.

Indexed as

Imaging, Three-DimensionalInternship and ResidencyLiverProblem-Based LearningAdultClinical CompetenceFemaleHumansMaleUltrasonographyCBLImaging 3D reconstructionLiver ultrasoundMedical education

Identifiers

PMID42387519
PMCPMC13579943

What Socratic 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 Socratic graph.