Evidence map›Paper›PMID 33666733›Full record

ArticlePediatric radiology2021

Ultra-high-frequency ultrasound of superficial and musculoskeletal structures in the pediatric population.

Jamal Ait Ichou, Simon Gauvin, Ricardo Faingold

Abstract read
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In one paragraph

Article in Pediatric radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

3 authors.

Jamal Ait IchouDepartment of Radiology, Montreal Children's Hospital, McGill University Health Centre, 1001 Decarie Blvd., Montreal, QC, H4A 3J1, Canada. jamal.aitichou@mail.mcgill.ca.ORCID http://orcid.org/0000-0002-8187-7634
Simon GauvinDepartment of Radiology, Montreal Children's Hospital, McGill University Health Centre, 1001 Decarie Blvd., Montreal, QC, H4A 3J1, Canada.
Ricardo FaingoldDepartment of Radiology, Montreal Children's Hospital, McGill University Health Centre, 1001 Decarie Blvd., Montreal, QC, H4A 3J1, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Because of its relatively low cost, lack of ionizing radiation and great versatility, US is considered the imaging modality of choice to evaluate a large variety of pediatric conditions. Imaging of superficial structures and small anatomical parts can be at times limited with standard US. Recent advances in technology yielded ultra-high-frequency US systems that are capable of scanning with frequencies as high as 70 MHz and resolutions of 30 μm. This technology, approved by the United States Food and Drug Administration, has not been widely used in the clinical setting. It has the potential to become a powerful diagnostic tool in clinical practice, especially in the evaluation of infants, given their inherent body habitus. Our main objective is to discuss the use of ultra-high-frequency US at a tertiary care center. This pictorial essay presents a gamut of pediatric pathologies pertaining to imaging of the soft tissues and the superficial and musculoskeletal structures. Our aim in this pictorial essay is to highlight and illustrate the role of ultra-high-frequency US in improving the depiction of common and less common pathologies. We think it also helps to gain a new understanding of the normal anatomy in the pediatric population and to display specific features not shown by standard US and, in certain cases, ones that lead to a change in diagnosis.

Indexed as

Musculoskeletal SystemChildDiagnostic ImagingHumansInfantUltrasonographyChildrenInfantsMusculoskeletalSurface imagingUltra-high-frequency ultrasoundUltrasound

Identifiers

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.