Cargando…

Overview of the Ultrasound Classification Systems in the Field of Thyroid Cytology

SIMPLE SUMMARY: Ultrasound (US) is the preferred imaging modality for thyroid nodule evaluation. Accurate US assessment of thyroid lesions can help decrease unwarranted FNA procedures of benign nodules. Several thyroid nodule risk classification systems that focus on US features have been published....

Descripción completa

Detalles Bibliográficos
Autores principales: Rossi, Esther Diana, Pantanowitz, Liron, Raffaelli, Marco, Fadda, Guido
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8268099/
https://www.ncbi.nlm.nih.gov/pubmed/34201557
http://dx.doi.org/10.3390/cancers13133133
_version_ 1783720282549125120
author Rossi, Esther Diana
Pantanowitz, Liron
Raffaelli, Marco
Fadda, Guido
author_facet Rossi, Esther Diana
Pantanowitz, Liron
Raffaelli, Marco
Fadda, Guido
author_sort Rossi, Esther Diana
collection PubMed
description SIMPLE SUMMARY: Ultrasound (US) is the preferred imaging modality for thyroid nodule evaluation. Accurate US assessment of thyroid lesions can help decrease unwarranted FNA procedures of benign nodules. Several thyroid nodule risk classification systems that focus on US features have been published. Some of them highlight simple US patterns, while others rely on the presence of multiple US features to categorize thyroid nodules. The current review offers an evaluation of different US system, combining them with the use of fine needle aspiration and the cytological classification systems. ABSTRACT: The increasing application of ultrasound (US) in recent years has led to a greater number of thyroid nodule diagnoses. Consequently, the number of fine needle aspirations performed to evaluate these lesions has increased. Although the majority of thyroid nodules are benign, identifying methods to define specific lesions and tailor risk of malignancy has become vital. Some of the tools employed to stratify thyroid nodule risk include clinical factors, thyroid US findings, and reporting systems for thyroid cytopathology. Establishing high concordance between US features and cytologic diagnoses might help reduce healthcare costs by diminishing unnecessary thyroid procedures and treatment. This review aims to review radiology US classification systems that influence the practice of thyroid cytology.
format Online
Article
Text
id pubmed-8268099
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-82680992021-07-10 Overview of the Ultrasound Classification Systems in the Field of Thyroid Cytology Rossi, Esther Diana Pantanowitz, Liron Raffaelli, Marco Fadda, Guido Cancers (Basel) Review SIMPLE SUMMARY: Ultrasound (US) is the preferred imaging modality for thyroid nodule evaluation. Accurate US assessment of thyroid lesions can help decrease unwarranted FNA procedures of benign nodules. Several thyroid nodule risk classification systems that focus on US features have been published. Some of them highlight simple US patterns, while others rely on the presence of multiple US features to categorize thyroid nodules. The current review offers an evaluation of different US system, combining them with the use of fine needle aspiration and the cytological classification systems. ABSTRACT: The increasing application of ultrasound (US) in recent years has led to a greater number of thyroid nodule diagnoses. Consequently, the number of fine needle aspirations performed to evaluate these lesions has increased. Although the majority of thyroid nodules are benign, identifying methods to define specific lesions and tailor risk of malignancy has become vital. Some of the tools employed to stratify thyroid nodule risk include clinical factors, thyroid US findings, and reporting systems for thyroid cytopathology. Establishing high concordance between US features and cytologic diagnoses might help reduce healthcare costs by diminishing unnecessary thyroid procedures and treatment. This review aims to review radiology US classification systems that influence the practice of thyroid cytology. MDPI 2021-06-23 /pmc/articles/PMC8268099/ /pubmed/34201557 http://dx.doi.org/10.3390/cancers13133133 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Rossi, Esther Diana
Pantanowitz, Liron
Raffaelli, Marco
Fadda, Guido
Overview of the Ultrasound Classification Systems in the Field of Thyroid Cytology
title Overview of the Ultrasound Classification Systems in the Field of Thyroid Cytology
title_full Overview of the Ultrasound Classification Systems in the Field of Thyroid Cytology
title_fullStr Overview of the Ultrasound Classification Systems in the Field of Thyroid Cytology
title_full_unstemmed Overview of the Ultrasound Classification Systems in the Field of Thyroid Cytology
title_short Overview of the Ultrasound Classification Systems in the Field of Thyroid Cytology
title_sort overview of the ultrasound classification systems in the field of thyroid cytology
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8268099/
https://www.ncbi.nlm.nih.gov/pubmed/34201557
http://dx.doi.org/10.3390/cancers13133133
work_keys_str_mv AT rossiestherdiana overviewoftheultrasoundclassificationsystemsinthefieldofthyroidcytology
AT pantanowitzliron overviewoftheultrasoundclassificationsystemsinthefieldofthyroidcytology
AT raffaellimarco overviewoftheultrasoundclassificationsystemsinthefieldofthyroidcytology
AT faddaguido overviewoftheultrasoundclassificationsystemsinthefieldofthyroidcytology