Evidence map›Paper›PMID 39804501›Full record

ArticleThe ultrasound journal2025

Validation of a tele-robotic ultrasound system for abdomen and thyroid gland explorations: a comparison with standard ultrasound.

Andreu Antolin, Nuria Roson, Marina Planes, Mar Castillo, Anna Alberti, Manuel Escobar

Abstract read
In one paragraph

Article in The ultrasound journal, 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. Personalized scan path planning for robotic ultrasound in head and neck lesions.International journal of computer assisted radiology and 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

6 authors.

Andreu Antolin *Department of Radiology, Institut de Diagnòstic per la Imatge (IDI), Hospital Universitari Vall d'Hebron, Passeig de la Vall d'Hebron, 119-129, 08035, Barcelona, Spain. antolin.andreu@gmail.com.ORCID http://orcid.org/0000-0001-6973-4246
Nuria Roson *Department of Radiology, Institut de Diagnòstic per la Imatge (IDI), Hospital Universitari Vall d'Hebron, Passeig de la Vall d'Hebron, 119-129, 08035, Barcelona, Spain.ORCID http://orcid.org/0000-0001-6751-7491
Marina PlanesDepartment of Radiology, Institut de Diagnòstic per la Imatge (IDI), Hospital Universitari Vall d'Hebron, Passeig de la Vall d'Hebron, 119-129, 08035, Barcelona, Spain.ORCID http://orcid.org/0000-0003-3073-4358
Mar CastilloDepartment of Radiology, Hospital Universitari Vall d'Hebron, Passeig de la Vall d'Hebron, 119-129, 08035, Barcelona, Spain.
Anna AlbertiDepartment of Radiology, Institut de Diagnòstic per la Imatge (IDI), Hospital Universitari Vall d'Hebron, Passeig de la Vall d'Hebron, 119-129, 08035, Barcelona, Spain.
Manuel EscobarDepartment of Radiology, Hospital Universitari Vall d'Hebron, Passeig de la Vall d'Hebron, 119-129, 08035, Barcelona, Spain.ORCID http://orcid.org/0000-0002-3794-2224

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTele-robotic ultrasound (US) is a novel technique that might help overcome the current shortage of radiologists and poor access to radiologists and/or sonographers in remote or rural areas. Despite the promising results of this technology in the past two decades, there is still insufficient data about its advantages and limits, as well as the implementation in routine clinical practice and the learning curve for the user. The purpose of this prospective cohort-based study is to evaluate the performance of a 5G-based tele-robotic US system for abdominal and thyroid gland assessment in a cohort of healthy volunteers and outpatients, as well as assessing the learning curve and patient satisfaction.

results64 participants (23 male, 41 female) were consecutively included during the recruitment period, for a total of 51 abdominal and 37 thyroid gland US studies. The mean age was 45.23 ± 18.90 years old, and the body mass index of the abdominal cohort was 22.97 ± 2.95 kg/m

conclusionTele-robotic US achieves equal performance in comparison with the standard US when evaluating abdominal structures in this cohort of patients, as well as a relatively fast learning curve and good patient satisfaction. The performance when assessing the thyroid gland is almost identical to the standard US, which makes it a strong first candidate for a future clinical implementation.

Indexed as

Abdominal ultrasoundDiagnostic ultrasoundLearning curveTele-robotic ultrasoundThyroid gland ultrasound

Identifiers

PMID39804501
PMCPMC11729597

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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.