Evidence map›Paper›PMID 29075896›Full record

ReviewPediatric radiology2017

Imaging appearances of soft-tissue tumors of the pediatric foot: review of a 15-year experience at a tertiary pediatric hospital.

Pablo Caro-Domínguez, Oscar M Navarro

Abstract readReview
PubMed Publisher
In one paragraph

Review in Pediatric radiology, 2017. 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
0.1field-weighted citation impact, top 46% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Review
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

2 authors at 2 institutions in 1 country.

Pablo Caro-DomínguezDepartment of Medical Imaging, University of Toronto, Toronto, ON, Canada.
Oscar M NavarroDepartment of Medical Imaging, University of Toronto, Toronto, ON, Canada. oscar.navarro@sickkids.ca.
Hospital for Sick Children · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumors of the foot are rare in children. In this review the authors illustrate radiographic, sonographic and MR imaging findings of foot soft-tissue tumors in children based on all cases presenting at a tertiary pediatric hospital during the 15-year period of 1999-2014. Among these cases there were 155 tumors of the foot - 72 of the bones and 83 of the soft tissues. Vascular malformations, fibromatosis and sarcomas were respectively the most frequent benign, intermediate and malignant soft-tissue tumors. Some tumors showed specific imaging findings. In imaging investigations, ultrasound can be used as the first imaging modality for diagnostic workup of most lesions because it is noninvasive, low-cost and readily available, and can confirm the presence of the mass and evaluate cystic components, especially in young children who would otherwise require sedation for MR imaging. MR imaging is the reference standard technique because of its high tissue contrast, which allows for detection and characterization of soft-tissue and bone abnormalities. MR imaging is useful as the first imaging modality in select cases, including those with high suspicion of malignancy, very large lesions or pre-treatment lesions. Recognition of some typical imaging findings in pediatric soft-tissue foot tumors is helpful to establish diagnosis and facilitate patient management.

Indexed as

FootChildDiagnosis, DifferentialDiagnostic ImagingHospitals, PediatricHumansSoft Tissue NeoplasmsTertiary Care CentersChildrenFootMagnetic resonance imagingNeoplasmSoft-tissue tumorUltrasound

Identifiers

PMID29075896
OpenAlexW2766429693

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.