Prenatal and postnatal urinary tract dilation: advantages of a standardized ultrasound definition and classification View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-11-27

AUTHORS

Piernicola Pelliccia, Simone Sferrazza Papa, Federica Cavallo, Veronica Maria Tagi, Marco Di Serafino, Francesco Esposito, Antonello Persico, Norberto Vezzali, Gianfranco Vallone

ABSTRACT

Urinary tract dilatation is identified sonographically in 1–2% of fetuses and reflects a spectrum of possible nephro-uropathies. There is significant variability in the clinical management of individuals with prenatal urinary tract dilatation to postnatal urinary pathologies, because of a lack of consensus and uniformity in defining and classifying urinary tract dilation. Ultrasonography is the first step to screen and diagnose kidneys and the urinary tract diseases of the children. The need for a correct ultrasound approach led to the realization of algorithms aimed at standardizing the procedures, the parameters and the classifications. Our objective was to highlight the strengths of the Classification of Urinary Tract Dilation (UTD) suggested by the Consensus Conference which took place in 2014 with the participation of eight Scientific Societies and was subsequently published on the Journal of Pediatric Urology. Before its spread out, the definition of UTD was not uniform and the ultrasonographic measurements were not clearly defined, leading to misunderstandings between physicians. The Classification by the Consensus Conference of 2014 represents a revolutionary tool for the diagnosis and management of UTD. Furthermore, the parameters suggested by the classification proposed are applicable for both prenatal and postnatal classification, ensuring a correct follow-up in children with UTD whose diagnosis had been already made during pregnancy. More... »

PAGES

5-12

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s40477-018-0340-3

DOI

http://dx.doi.org/10.1007/s40477-018-0340-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1110227303

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30484141


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