Insights into Ultrasound Features and Risk Stratification Systems in Pediatric Patients with Thyroid Nodules.

malignancy management neck ultrasound pediatric age risk stratification systems thyroid carcinoma thyroid nodules ultrasound features

Journal

Journal of imaging
ISSN: 2313-433X
Titre abrégé: J Imaging
Pays: Switzerland
ID NLM: 101698819

Informations de publication

Date de publication:
05 Aug 2024
Historique:
received: 20 05 2024
revised: 30 07 2024
accepted: 04 08 2024
medline: 28 8 2024
pubmed: 28 8 2024
entrez: 28 8 2024
Statut: epublish

Résumé

Thyroid nodules in pediatric patients are less common than in adults but show a higher malignancy rate. Accordingly, the management of thyroid nodules in pediatric patients is more complex the younger the patient is, needing careful evaluation by physicians. In adult patients, specific ultrasound (US) features have been associated with an increased risk of malignancy (ROM) in thyroid nodules. Moreover, several US risk stratification systems (RSSs) combining the US features of the nodule were built to define the ROM. RSSs are developed for the adult population and their use has not been fully validated in pediatric patients. This study aimed to evaluate the available data about US features of thyroid nodules in pediatric patients and to provide a summary of the evidence regarding the performance of RSS in predicting malignancy. Moreover, insights into the management of thyroid nodules in pediatric patients will be provided.

Identifiants

pubmed: 39194977
pii: jimaging10080189
doi: 10.3390/jimaging10080189
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Auteurs

Carla Gambale (C)

Unit of Endocrinology, Department of Clinical and Experimental Medicine, Pisa University Hospital, 56124 Pisa, Italy.

José Vicente Rocha (JV)

Serviço de Endocrinologia, Diabetes e Metabolismo, Unidade Local de Saúde Santa Maria, 1649-028 Lisboa, Portugal.

Alessandro Prete (A)

Unit of Endocrinology, Department of Clinical and Experimental Medicine, Pisa University Hospital, 56124 Pisa, Italy.

Elisa Minaldi (E)

Unit of Endocrinology, Department of Clinical and Experimental Medicine, Pisa University Hospital, 56124 Pisa, Italy.

Rossella Elisei (R)

Unit of Endocrinology, Department of Clinical and Experimental Medicine, Pisa University Hospital, 56124 Pisa, Italy.

Antonio Matrone (A)

Unit of Endocrinology, Department of Clinical and Experimental Medicine, Pisa University Hospital, 56124 Pisa, Italy.

Classifications MeSH