Sonographic Criteria Predictive of Malignant Thyroid Nodules

Oliveira, Carlos Miguel; Costa, Rui Alves; Patrício, Miguel; Estevao, Amelia; Graça, Bruno; Caseiro-Alves, Filipe

doi:10.1016/j.acra.2017.09.006

Cited by 6 publications

(5 citation statements)

References 21 publications

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“…No significant evidence currently exists for any single characteristic. Clinically, it usually defines the risk according to the number of ultrasound features, which has great uncertainty (Oliveira et al, 2018). The European Thyroid Association Guidelines for ultrasound malignancy risk stratification (EU-TIRADS) suggested that the numbers of high-risk features including ECHO, TTW, IRE, EF, and ITC from 1 to > −4 could indicate the risk form 5 to 80%.…”

Section: Introductionmentioning

confidence: 99%

Modified Models for Predicting Malignancy Using Ultrasound Characters Have High Accuracy in Thyroid Nodules With Small Size

Jiang

Xie

et al. 2021

Front. Mol. Biosci.

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To assess the malignancy risk of thyroid nodules, ten ultrasound characteristics are suggested as key diagnostic markers. The European Thyroid Association Guidelines (EU-TIRADS) and 2015 American Thyroid Association Management Guidelines (2015ATA) are mainly used for ultrasound malignancy risk stratification, but both are less accurate and do not appropriatetly classify high risk patients in clinical examination. Previous studies focus on papillary thyroid carcinoma (PTC), but follicular thyroid carcinoma (FTC) and medullary thyroid carcinoma (MTC) remained to be characterized. Thus, this study aimed to determine the diagnostic accuracy and establish models using all ultrasound features including the nodule size for predicting the malignancy of thyroid nodules (PTC, FTC, and MTC) in China. We applied logistic regression to the data of 1,500 patients who received medical treatment in Shanghai and Fujian. Ultrasound features including taller-than-wide shape and invasion of the thyroid capsule showed high odds ratio (OR 19.329 and 4.672) for PTC in this dataset. Invasion of the thyroid also showed the highest odds ratio (OR = 8.10) for MTC. For FTC, the halo sign has the highest odds ratio (OR = 13.40). Four ultrasound features revealed distinct OR in PTC nodule groups with different sizes. In this study, we constructed a logistic model with accuracy up to 80%. In addition, this model revealed more accuracy than TIRADS in 4b and 4c category nodules. Hence, this model could well predict malignancy in small nodules and classify high-risk patients.

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Section: Introductionmentioning

confidence: 99%

Modified Models for Predicting Malignancy Using Ultrasound Characters Have High Accuracy in Thyroid Nodules With Small Size

Jiang

Xie

et al. 2021

Front. Mol. Biosci.

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“…En este estudio se presentaron dos hallazgos como los mejores predictores de malignidad, el primero: las adenopatías asociadas al igual que el estudio realizado por Oliveira, et al 19 Según autores las metástasis ganglionares regionales del cuello están presentes hasta en el 50-70 % de los casos de malignidad, incluidas aquellas metástasis microscópicas halladas en la histología, por lo tanto, puede considerarse como una situación frecuente. Según Mac Dermott, et al el compromiso ganglionar no es considerado un factor de riesgo importante de mortalidad, excepto en pacientes mayores de 45 años, en quienes su presencia sí modifica la estadificación de riesgo de mortalidad, tratamiento y seguimiento 20 .…”

Section: Discussionunclassified

Hallazgos ecográficos para la determinación de nódulos tiroideos malignos

Guarnizo-Villanueva

rtiz

Núñez

et al. 2021

revsal

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Introducción: los nódulos tiroideos son un crecimiento localizado en el tejido tiroideo, aproximadamente el 8 % son malignos, y el ultrasonido es el método ideal para detectarlos. Objetivo: determinar cuáles son los hallazgos ecográficos que pueden sugerir una mayor probabilidad de malignidad del nódulo tiroideo. Metodología: estudio descriptivo de tipo corte transversal en pacientes con nódulo tiroideo en una institución prestadora de salud de Neiva. Resultados: se evaluaron 63 pacientes con un promedio de edad de 52 años, 95 % fueron femeninos y el 5 % masculinos. El 71 % presentaron nódulos tiroideos benignos, y el 10 % nódulos malignos. En el 100 % de los nódulos tiroideos malignos se encontró vascularidad aumentada, microcalcificaciones, adenopatías asociadas, bordes irregulares y componente sólido, y los hallazgos con respecto a hipoecogenicidad y diámetro anteroposterior mayor al transverso (más alto que ancho), se encontró en el 83 %, siendo estadísticamente significativos. La sensibilidad de los hallazgos ecográficos supera el 80 %, excepto la variable “tamaño del nódulo mayor a 1 centímetro”. Conclusiones: Los hallazgos ecográficos como adenopatías y el diámetro anteroposterior mayor al transverso son indicadores potenciales de nódulos tiroideos malignos, el tamaño mayor a un centímetro no siempre es predictor de malignidad, sin embargo debido al tamaño de la muestra en nuestro estudio no es posible generalizarlo como un factor determinante para la realización de biopsia, por ende recomendamos el seguimiento de los nódulos teniendo en cuenta los criterios ecográficos de malignidad y la clasificación TIRADS para tomar decisiones con respecto a las biopsias tiroideas.

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“…The halo sign is a nonspecific manifestation of a mummified nodule. Experts have differing opinions regarding the value of the halo sign in distinguishing benign from malignant nodules [10][11][12][13][14]. Lacout et al [6] considered that the halo sign is related to the development of tissue granulation and the formation of a fibrous capsule.…”

Section: Discussionmentioning

confidence: 99%

Distinguishing mummified thyroid nodules from malignant thyroid nodules

2019

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Aim: To study the ultrasonographic (US) differences between “mummified” thyroid nodules and malignant thyroid nodules in order to achieve a more accurate imaging-based diagnosis and to avoid unnecessary biopsy.Material and methods: We retrospectively reviewed the US features of mummified thyroid nodules, as confirmed by fine-needle aspiration cytology (FNAC), in 193 cases. The US features included content, echo, shape, margin, microcalcification, suspicious lymph nodes and some characteristic features, including the cystic wall shrinkage sign, the concentric configuration or finger sign, calcification and halo. All of these features were classified and compared with those of 109 malignant lesions. The changes of these mummified nodules during the follow-up period were also examined.Results: The cystic wall shrinkage sign and the concentric configuration or finger sign were highly specific indicators of mummified thyroid nodules and could be used to distinguish mummified nodules from thyroid cancer with a specificity of 91.7% and 99.9%, respectively. A continuous decrease in the cyst size was observed during follow-up.Conclusions: Mummified thyroid nodules are characterized by the cystic wall shrinkage sign and the concentric configuration or finger sign on US and a continuous decrease in size during follow-up. These features may be useful for the differential imaging-based diagnosis of mummified versus malignant thyroid nodules.

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Sonographic Criteria Predictive of Malignant Thyroid Nodules

Cited by 6 publications

References 21 publications

Modified Models for Predicting Malignancy Using Ultrasound Characters Have High Accuracy in Thyroid Nodules With Small Size

Modified Models for Predicting Malignancy Using Ultrasound Characters Have High Accuracy in Thyroid Nodules With Small Size

Hallazgos ecográficos para la determinación de nódulos tiroideos malignos

Distinguishing mummified thyroid nodules from malignant thyroid nodules

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