Ultrasonic diagnosis for thyroid Hürthle cell tumor

Liu, Ping; Zhang, Hui

doi:10.3233/cbm-160544

Cited by 10 publications

(10 citation statements)

References 12 publications

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“…HCC develops later than other thyroid malignancies, with a 10 years delay. Average tumor size at time of surgery ranges from 2.5-4.8 cm [3,4]. In our patient's case, the tumor size was smaller.…”

Section: Discussionmentioning

confidence: 62%

Young age - an unusual finding of Hurthle cell carcinoma

Teodoriu¹,

Ciobanu-Apostol²,

Grigorovici³

et al. 2018

Arch Clin Cases

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Hürthle cell carcinoma is a rare thyroid neoplasm which originates from the follicular epithelium of the thyroid gland and is considered a true rarity in young patients. A 30 year-old woman was admitted to our department with palpable anterior cervical mass due to enlarged thyroid. The ultrasound revealed a large thyroid nodule with central hypoechogenicity, peripheral hyperechogenicity and positive Doppler signal. The patient had no distinguishable lateral cervical lymphadenopathy. The TI-RADS calculation (thyroid image reporting data system) classified the nodule as TR4 (4 points), which indicated a fine needle aspiration biopsy (FNAB), declined by the patient. Total thyroidectomy was performed and the histological findings associated with immunohistochemical study revealed the diagnosis of Hürthle cell carcinoma with capsular and vascular invasion. Because the microscopic vascular invasion was < 4 foci the patient was classified as low-risk group. Even so, due to the young age she was referred to radioactive iodine therapy for completion of curative treatment. This case illustrates the difficulties in the management of thyroid nodules with suspicious features on ultrasound, in the absence of FNAB exploration, and the unusual presence of Hürthle cell carcinoma in a young age patient, knowing the 6 th decade is the average age for this rare type of thyroid neoplasm.

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Section: Discussionmentioning

confidence: 62%

Young age - an unusual finding of Hurthle cell carcinoma

Teodoriu¹,

Ciobanu-Apostol²,

Grigorovici³

et al. 2018

Arch Clin Cases

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show abstract

“…À US, apresenta-se como nódulo e, no geral, tem as mesmas características de malignidade atribuídas às demais lesões já discutidas. No entanto, quando as microcalcificações identificadas durante a US foram analisadas no exame citológico, notou-se que, na verdade, tratava-se de uma cristalização coloidal interna, uma forma de interface acústica com significativa diferença de impedância acústica do nódulo, o que provoca a semelhança com microcalcificações, não sendo estas, portanto, típica no TCH (Li et al, 2017).…”

Section: Resultsunclassified

Horizontes atuais da ultrassonografia na investigação de nódulos e câncer de tireoide

Mendes

Neto²,

Bezerra³

et al. 2022

RSD

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Introdução: Nódulos tireoidianos são lesões que podem ou não estar vinculados a doenças, de curso benigno ou maligno. A sua detecção tem sido ampliada pelos novos métodos de imagem desenvolvidos. O ultrassom é o primeiro instrumento complementar de avaliação por ser um método não invasivo e que possui grau de sensibilidade satisfatório na maioria dos casos. Permite a caracterização de aspectos preditores de malignidade, contribuindo para a correta investigação diagnóstica Objetivo: elencar as inovações e a aplicabilidade do diagnóstico diferencial ultrassonográfico dos nódulos tireoidianos conforme descrição na bibliografia. Metodologia: Foram selecionados 10 artigos a partir da Biblioteca Virtual de Saúde, publicados entre 2017 e 2022, para compor esta revisão integrativa de literatura. Resultados e Discussão: Embora a grande maioria dos nódulos tireoidianos seja de origem benigna, o achado é motivo de alarde para pacientes, afinal a possibilidade de uma neoplasia é facilmente aventada. A punção aspirativa por agulha fina é o passo subsequente na averiguação dos nódulos tireoidianos e permite a coleta de material para exame citopatológico e reconhecimento do tipo celular que compõe o nódulo. A ultrassonografia multimodal pode representar uma possibilidade no estudo de nódulos em que se recaiam ambiguidades em modos isolados. Conclusão: a ultrassonografia é consagrada como artifício indispensável na pesquisa de nódulos tireoidianos. Sua utilização é capaz fornecer atributos objetivos na necessidade de exames invasivos, reduzindo os riscos inerentes de procedimentos desnecessários. Observa-se que a ultrassonografia é capaz de trazer dados que fortuitamente possam identificar lesões em estágios pré-metastáticos, permitindo a análise e intervenção necessárias.

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“…The CNNs seemed not to provide much benefit in the identification or diagnosis of FTC or HCC, due largely to a lack of cases resulting from low incidence and prevalence. Note that there is only a slight difference between FTC, HCC, and FA in terms of gross structure and ultrasound features [ 32 , 33 ].…”

Section: Discussionmentioning

confidence: 99%

Using Deep Convolutional Neural Networks for Enhanced Ultrasonographic Image Diagnosis of Differentiated Thyroid Cancer

et al. 2021

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Differentiated thyroid cancer (DTC) from follicular epithelial cells is the most common form of thyroid cancer. Beyond the common papillary thyroid carcinoma (PTC), there are a number of rare but difficult-to-diagnose pathological classifications, such as follicular thyroid carcinoma (FTC). We employed deep convolutional neural networks (CNNs) to facilitate the clinical diagnosis of differentiated thyroid cancers. An image dataset with thyroid ultrasound images of 421 DTCs and 391 benign patients was collected. Three CNNs (InceptionV3, ResNet101, and VGG19) were retrained and tested after undergoing transfer learning to classify malignant and benign thyroid tumors. The enrolled cases were classified as PTC, FTC, follicular variant of PTC (FVPTC), Hürthle cell carcinoma (HCC), or benign. The accuracy of the CNNs was as follows: InceptionV3 (76.5%), ResNet101 (77.6%), and VGG19 (76.1%). The sensitivity was as follows: InceptionV3 (83.7%), ResNet101 (72.5%), and VGG19 (66.2%). The specificity was as follows: InceptionV3 (83.7%), ResNet101 (81.4%), and VGG19 (76.9%). The area under the curve was as follows: Incep-tionV3 (0.82), ResNet101 (0.83), and VGG19 (0.83). A comparison between performance of physicians and CNNs was assessed and showed significantly better outcomes in the latter. Our results demonstrate that retrained deep CNNs can enhance diagnostic accuracy in most DTCs, including follicular cancers.

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Ultrasonic diagnosis for thyroid Hürthle cell tumor

Cited by 10 publications

References 12 publications

Young age - an unusual finding of Hurthle cell carcinoma

Young age - an unusual finding of Hurthle cell carcinoma

Horizontes atuais da ultrassonografia na investigação de nódulos e câncer de tireoide

Using Deep Convolutional Neural Networks for Enhanced Ultrasonographic Image Diagnosis of Differentiated Thyroid Cancer

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