Evidence map›Paper›PMID 33269448›Full record

ArticleJournal of digital imaging2021

The Time Has Come: a Paradigm Shift in Diagnostic Radiology Education via Simulation Training.

Liqi Shu, Faraien Bahri, Navid Mostaghni, Gang Yu, Ramin Javan

Open access · greenAbstract read
In one paragraph

Article in Journal of digital imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 20% of its field
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

6 citing papers in PubMed, 15 citations in OpenAlex.

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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

5 authors at 5 institutions in 2 countries.

Liqi ShuDepartment of Neurology, The Warren Alpert Medical School of Brown University, Providence, Rhode Island, 02903, USA.
Faraien BahriDepartment of Radiology, Department of Surgery, Kaiser Permanente Los Angeles Medical Center, 4867 Sunset Blvd, Los Angeles, CA, 90027, USA.
Navid MostaghniDepartment of Otolaryngology, University of California, Irvine, CA, USA.
Gang YuChildren's Hospital, Zhejiang University School of Medicine, No. 3333 Binsheng Road, Hangzhou, 310053, Zhejiang, China.
Ramin JavanDepartment of Radiology, George Washington University Hospital, 900 23rd St NW, Suite G2092, Washington, DC, 20037, USA. rjavan@mfa.gwu.edu.ORCID 0000-0001-8939-2781
Brown University · USChildren's Hospital of Zhejiang University · CNGeorge Washington University Hospital · USKaiser Permanente · USUniversity of California, Irvine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current radiology training for medical students and residents predominantly consists of reviewing teaching files, attending lectures, reading textbooks and online sources, as well as one-on-one teaching at the workstation. In the case of medical schools, radiology training is quite passive. In addition, the variety of important and high-yield cases that trainees are exposed to may be limited in scope. We utilized an open-source dcm4chee-based Picture Archiving and Communication System (PACS) named "Weasis" in order to simulate a radiologist's practice in the real world, using anonymized report-free complete cases that could easily be uploaded live during read-outs for training purposes. MySQL was used for database management and JBOSS as application server. In addition, we integrated Weasis into a web-based reporting system through Java programming language using the MyEclipse development environment. A freeware, platform-independent, image database was established to simulate a real-world PACS. The sever was implemented on a dedicated non-workstation PC connected to the hospital secure network. As the client access is through a webpage, the cases can be viewed from any computer connected to the hospital network. The reporting system allows for evaluation purposes and providing feedback to the trainees. Brief survey results are available. Implementation of such a low-cost, versatile, and customizable tool provides a new opportunity for training programs in offering medical students with an active and more realistic radiology experience, junior radiology residents with potentially better preparation for independent call, and senior resident and fellows with the ability to fine-tune high-level specialty-level knowledge.

Indexed as

RadiologyRadiology Information SystemsSimulation TrainingHumansCurriculumMedical educationPACSRadiology educationSimulation trainingWeasis

Identifiers

PMID33269448
PMCPMC7886946
OpenAlexW3107409827

What OpenQuestion 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 OpenQuestion graph.