Evidence map›Paper›PMID 41509882›Full record

ArticleThe journal of education in perioperative medicine : JEPM

Opening the "Black Box" in Transesophageal Echocardiography Teaching: Implementation of 3D-Printed Omniplane Simulator and Heart Models.

Yifan Bu, Aidan Sharkey, Sara Neves, Qiaoqing Zhong, Vanessa Wong, Shirin Saeed, Peva Gbagornah, Feroze Mahmood, Robina Matyal

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In one paragraph

Article in The journal of education in perioperative medicine : JEPM. 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

9 authors.

Yifan BuThe authors are at the Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, in the Department of Anesthesia, Critical Care and Pain Medicine. is Anesthesiology Fellow; is Anesthesiology Attending; is Anesthesiology Attending; is Internal Medicine Attending; is Department Program Manager; is Research Fellow; is Department Program Manager; is Anesthesiology Professor and Attending; is Anesthesiology Professor and Attending.
Aidan SharkeyThe authors are at the Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, in the Department of Anesthesia, Critical Care and Pain Medicine. is Anesthesiology Fellow; is Anesthesiology Attending; is Anesthesiology Attending; is Internal Medicine Attending; is Department Program Manager; is Research Fellow; is Department Program Manager; is Anesthesiology Professor and Attending; is Anesthesiology Professor and Attending.
Sara NevesThe authors are at the Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, in the Department of Anesthesia, Critical Care and Pain Medicine. is Anesthesiology Fellow; is Anesthesiology Attending; is Anesthesiology Attending; is Internal Medicine Attending; is Department Program Manager; is Research Fellow; is Department Program Manager; is Anesthesiology Professor and Attending; is Anesthesiology Professor and Attending.
Qiaoqing ZhongThe authors are at the Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, in the Department of Anesthesia, Critical Care and Pain Medicine. is Anesthesiology Fellow; is Anesthesiology Attending; is Anesthesiology Attending; is Internal Medicine Attending; is Department Program Manager; is Research Fellow; is Department Program Manager; is Anesthesiology Professor and Attending; is Anesthesiology Professor and Attending.
Vanessa WongThe authors are at the Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, in the Department of Anesthesia, Critical Care and Pain Medicine. is Anesthesiology Fellow; is Anesthesiology Attending; is Anesthesiology Attending; is Internal Medicine Attending; is Department Program Manager; is Research Fellow; is Department Program Manager; is Anesthesiology Professor and Attending; is Anesthesiology Professor and Attending.
Shirin SaeedThe authors are at the Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, in the Department of Anesthesia, Critical Care and Pain Medicine. is Anesthesiology Fellow; is Anesthesiology Attending; is Anesthesiology Attending; is Internal Medicine Attending; is Department Program Manager; is Research Fellow; is Department Program Manager; is Anesthesiology Professor and Attending; is Anesthesiology Professor and Attending.
Peva GbagornahThe authors are at the Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, in the Department of Anesthesia, Critical Care and Pain Medicine. is Anesthesiology Fellow; is Anesthesiology Attending; is Anesthesiology Attending; is Internal Medicine Attending; is Department Program Manager; is Research Fellow; is Department Program Manager; is Anesthesiology Professor and Attending; is Anesthesiology Professor and Attending.
Feroze MahmoodThe authors are at the Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, in the Department of Anesthesia, Critical Care and Pain Medicine. is Anesthesiology Fellow; is Anesthesiology Attending; is Anesthesiology Attending; is Internal Medicine Attending; is Department Program Manager; is Research Fellow; is Department Program Manager; is Anesthesiology Professor and Attending; is Anesthesiology Professor and Attending.
Robina MatyalThe authors are at the Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, in the Department of Anesthesia, Critical Care and Pain Medicine. is Anesthesiology Fellow; is Anesthesiology Attending; is Anesthesiology Attending; is Internal Medicine Attending; is Department Program Manager; is Research Fellow; is Department Program Manager; is Anesthesiology Professor and Attending; is Anesthesiology Professor and Attending.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Simulation training is an essential component of transesophageal echocardiography (TEE) education, particularly for novice learners. However, a critical limitation of current mannequin-based TEE simulators is their inability to emphasize the spatial relationship between the probe's position and the resulting ultrasound images. This limitation, referred to as the "black box" effect, can make it difficult to understand how probe manipulation affects image acquisition, including probe orientation, beam trajectory, and the intersection of the ultrasound beam with cardiac structures. As a result, educators may struggle to convey these critical spatial concepts using existing simulation tools. Methods: A set of 3D-printed TEE training models was first developed to simulate the steps involved in TEE scanning procedures. They also provide beginners with an intuitive visual representation and a mental rotation process, enhancing their spatial awareness. Then, a pre-post pilot study was conducted among third-year clinical anesthesia (CA-3) residents. Three aspects of teaching quality were evaluated before and after the simulation training with 3D-printed models: TEE view-related knowledge, image quality on a mannequin-based simulator, and learners' confidence. Results: A total of 10 residents were included in this study. The knowledge assessment score significantly improved after the session (56.0 ± 22.60 vs 93.5 ± 6.26, Conclusions: A simulation training session with a set of 3D-printed TEE teaching models significantly improved TEE view-related knowledge, image quality, and learners' confidence among CA-3 residents.

Identifiers

PMID41509882
PMCPMC12778068

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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.