Evidence map›Paper›PMID 38668928›Full record

ArticleInternational journal of computer assisted radiology and surgery2024

Design and evaluation of an anthropomorphic neck phantom for improved ultrasound diagnostics of thyroid gland tumors.

Denis Leonov, Anastasia Nasibullina, Veronika Grebennikova, Olga Vlasova, Yulia Bulgakova, Ekaterina Belyakova, Darya Shestakova, José Francisco Silva Costa-Júnior, Olga Omelianskaya, Yuriy Vasilev

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In one paragraph

Article in International journal of computer assisted radiology and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Improving clinician performance in ultrasound-guided thyroid FNA: a simulation-based training intervention with a custom phantom.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026
    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.

Denis LeonovMoscow Center for Diagnostics and Telemedicine, Moscow, Russia. strat89@mail.ru.ORCID http://orcid.org/0000-0003-0916-6552
Anastasia NasibullinaMoscow Center for Diagnostics and Telemedicine, Moscow, Russia.ORCID http://orcid.org/0000-0003-1695-7731
Veronika GrebennikovaMoscow Center for Diagnostics and Telemedicine, Moscow, Russia.ORCID http://orcid.org/0009-0003-6041-132X
Olga VlasovaMoscow Center for Diagnostics and Telemedicine, Moscow, Russia.ORCID http://orcid.org/0000-0003-3364-7364
Yulia BulgakovaMoscow Center for Diagnostics and Telemedicine, Moscow, Russia.ORCID http://orcid.org/0000-0002-1627-6568
Ekaterina BelyakovaMoscow Center for Diagnostics and Telemedicine, Moscow, Russia.ORCID http://orcid.org/0009-0009-0316-0628
Darya ShestakovaSmolensk State Medical University, Moscow, Russia.ORCID http://orcid.org/0000-0001-5497-1476
José Francisco Silva Costa-JúniorBrazilian Air Force Academy, Pirassununga, São Paulo, Brazil.ORCID http://orcid.org/0000-0002-6526-2760
Olga OmelianskayaMoscow Center for Diagnostics and Telemedicine, Moscow, Russia.ORCID http://orcid.org/0000-0002-0245-4431
Yuriy VasilevMoscow Center for Diagnostics and Telemedicine, Moscow, Russia.ORCID http://orcid.org/0000-0002-5283-5961

Funding

Healthcare Department of Moscow 123092000013-3
6 · The paper itself

Abstract

purposeThyroid cancer is one of the most common cancers worldwide, with ultrasound-guided biopsy being the method of choice for its early detection. The accuracy of diagnostics directly depends on the qualifications of the ultrasonographers, whose performance can be enhanced through training with phantoms. The aim of this study is to propose a reproducible methodology for designing a neck phantom for ultrasound training and research from widely available materials and to validate its applicability.

methodsThe phantom was made using polyvinyl chloride mixed with additives to reproduce different levels of brightness on ultrasound screens. 3D printing and casting were used to create the neck model and various structures of the neck, including bones, cartilage, arteries, veins, lymph nodes, thyroid gland, and soft tissues. The small objects, such as tumor and lymph node models, were shaped manually. All the phantom's materials were carefully selected to match the ultrasonic speed and attenuation values of real soft tissues and bones.

resultsThe thyroid gland contains models of a cancerous and cystic nodule. In the neck, there are models of carotid arteries and jugular veins filled with ultrasound-transparent gel. Additionally, there are replicas of lymph nodes and bone structures such as hyoid bone, thyroid cartilage, trachea, and vertebrae. The resulting phantom covers the entire neck area and has been positively received by practicing ultrasound specialists.

conclusionsThe proposed manufacturing technology offers a reliable and cost-effective approach to produce an anthropomorphic neck phantom for ultrasound diagnosis of the thyroid gland. The realistic simulation provided by the phantom enhances the quality and accuracy of ultrasound examinations, contributing to better training for medical professionals and improved patient care. Subsequent research efforts can concentrate on refining the fabrication process and exploring additional features to enhance the phantom's capabilities.

Indexed as

NeckPhantoms, ImagingThyroid NeoplasmsUltrasonographyEquipment DesignHumansPrinting, Three-DimensionalThyroid Gland3D modelingAnthropomorphic neck phantomFabrication technologyPVC plastisolThyroid glandTissue-imitating materialsTraining phantomUltrasound diagnosis

Identifiers

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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.