Examining the Bethesda criteria risk stratification of thyroid nodules

2015 ◽  
Vol 211 (5) ◽  
pp. 345-348 ◽  
Author(s):  
Ahmed Deniwar ◽  
Catherine Hambleton ◽  
Tina Thethi ◽  
Krzysztof Moroz ◽  
Emad Kandil
Keyword(s):  
Risk Stratification ◽  
Thyroid Nodules ◽  
Bethesda Criteria

Abstract #564 Advanced Ultrasound Application- Impact on Presurgical Risk Stratification of Thyroid Nodules

2019 ◽  
Vol 25 ◽  
pp. 287
Author(s):  
Andreea Borlea ◽  
Dana Stoian ◽  
Adrian Apostol ◽  
Mihnea Derban ◽  
Laura Cotoi ◽  
...  
Keyword(s):  
Risk Stratification ◽  
Thyroid Nodules ◽  
Ultrasound Application

The incidentaloma of the thyroid

2005 ◽  
Vol 44 (05) ◽  
pp. 213-224
Author(s):  
C. Kobe ◽  
M. Schmidt ◽  
H. Schicha ◽  
M. Dietlein
Keyword(s):  
Risk Stratification ◽  
Fine Needle Aspiration ◽  
Thyroid Nodules ◽  
Outcome Measurement ◽  
Needle Aspiration ◽  
Epidemiological Studies ◽  
Fine Needle ◽  
Small Cancer ◽  
The Family ◽  
Wait And See

Summary:The incidentally detected thyroid nodule using sonography is described as incidentaloma; the most nodules have a diameter up to 1.5 cm. Sonography will detect thyroid nodules in more than 20% of the population in Germany. Epidemiological studies investigating the prevalence of malignancy in such incidentalomas are missing. The incidence of differentiated thyroid cancer is about 3 per 100,000 people and year. However, several monocentric studies have shown a prevalence of malignancy of up to 10% of the thyroid nodules in selected patients’ group. The histology did not found microcarcinomas only, but also small cancer with infiltration of the thyroid capsule, lymph node metastasis or multifocal spread. The studies were not designed for outcome measurement after early and incidental detection of small thyroid cancers. Hypoechogenity, ill defined borders, central hypervascularization or microcalcifications were used as combined criteria for risk stratification. The second method for risk stratification is scintigraphy and further tests are warranted for hypofunctioning nodule ≥1 cm. Additionally, the family history, patient’s age <20 years, former radiation of the neck, and measurement of calcitonin should be regarded. Without such a risk stratification selection for fine needle aspiration is impossible. Fine needle aspiration of non-palpable incidentalomas led to non-representative or unequivocal cytological findings in up to 40%. Because better outcome of incidentally detected small thyroid carcinomas is not proved and because sonography, scintigraphy and fine needle aspiration remain imprecise regarding dignity of incidentalomas, fine needle aspiration is not the standard for small, non-palpable thyroid nodules. Conclusion: For management of incidentaloma, sonographically unsuspicious, scintigraphically indifferent (nodules ≥1 cm) and without any risk factors in patients’ history, wait and see is justified when patient is informed about the problem.

scholarly journals European Thyroid Association Guidelines for Ultrasound Malignancy Risk Stratification of Thyroid Nodules in Adults: The EU-TIRADS

2017 ◽  
Vol 6 (5) ◽  
pp. 225-237 ◽  
Author(s):  
Gilles Russ ◽  
Steen J. Bonnema ◽  
Murat Faik Erdogan ◽  
Cosimo Durante ◽  
Rose Ngu ◽  
...  
Keyword(s):  
Risk Stratification ◽  
Thyroid Nodules ◽  
Malignancy Risk ◽  
The Eu

scholarly journals Establishment of an Ultrasound Malignancy Risk Stratification Model for Thyroid Nodules Larger Than 4 cm

2021 ◽  
Vol 11 ◽  
Author(s):  
Xuehua Xi ◽  
Ying Wang ◽  
Luying Gao ◽  
Yuxin Jiang ◽  
Zhiyong Liang ◽  
...  
Keyword(s):  
High Risk ◽  
Risk Stratification ◽  
Diagnostic Performance ◽  
Thyroid Nodules ◽  
Low Risk ◽  
Validation Dataset ◽  
Intermediate Risk ◽  
Solid Mass ◽  
Incidence And Mortality ◽  
Risk Stratification Model

BackgroundThe incidence and mortality of thyroid cancer, including thyroid nodules &gt; 4 cm, have been increasing in recent years. The current evaluation methods are based mostly on studies of patients with thyroid nodules &lt; 4 cm. The aim of the current study was to establish a risk stratification model to predict risk of malignancy in thyroid nodules &gt; 4 cm.MethodsA total of 279 thyroid nodules &gt; 4 cm in 267 patients were retrospectively analyzed. Nodules were randomly assigned to a training dataset (n = 140) and a validation dataset (n = 139). Multivariable logistic regression analysis was applied to establish a nomogram. The risk stratification of thyroid nodules &gt; 4 cm was established according to the nomogram. The diagnostic performance of the model was evaluated and compared with the American College Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS), Kwak TI-RADS and 2015 ATA guidelines using the area under the receiver operating characteristic curve (AUC).ResultsThe analysis included 279 nodules (267 patients, 50.6 ± 13.2 years): 229 were benign and 50 were malignant. Multivariate regression revealed microcalcification, solid mass, ill-defined border and hypoechogenicity as independent risk factors. Based on the four factors, a risk stratified clinical model was developed for evaluating nodules &gt; 4 cm, which includes three categories: high risk (risk value = 0.8-0.9, with more than 3 factors), intermediate risk (risk value = 0.3-0.7, with 2 factors or microcalcification) and low risk (risk value = 0.1-0.2, with 1 factor except microcalcification). In the validation dataset, the malignancy rate of thyroid nodules &gt; 4 cm that were classified as high risk was 88.9%; as intermediate risk, 35.7%; and as low risk, 6.9%. The new model showed greater AUC than ACR TI-RADS (0.897 vs. 0.855, p = 0.040), but similar sensitivity (61.9% vs. 57.1%, p = 0.480) and specificity (91.5% vs. 93.2%, p = 0.680).ConclusionMicrocalcification, solid mass, ill-defined border and hypoechogenicity on ultrasound may be signs of malignancy in thyroid nodules &gt; 4 cm. A risk stratification model for nodules &gt; 4 cm may show better diagnostic performance than ACR TI-RADS, which may lead to better preoperative decision-making.

scholarly journals Diagnostic Performance of Different Thyroid Imaging Reporting and Data Systems (Kwak-TIRADS, EU-TIRADS and ACR TI-RADS) for Risk Stratification of Small Thyroid Nodules (≤10 mm)

2020 ◽  
Vol 9 (1) ◽  
pp. 236 ◽  
Author(s):  
Simone Schenke ◽  
Rigobert Klett ◽  
Philipp Seifert ◽  
Michael C. Kreissl ◽  
Rainer Görges ◽  
...  
Keyword(s):  
Risk Stratification ◽  
Predictive Value ◽  
Diagnostic Performance ◽  
Thyroid Nodules ◽  
Cohort Analysis ◽  
Medullary Carcinoma ◽  
Data Systems ◽  
Thyroid Imaging ◽  
Promising Tool ◽  
Risk Of Malignancy

Due to the widespread use of ultrasound, small thyroid nodules (TNs) ≤ 10 mm are common findings. Standardized approaches for the risk stratification of TNs with Thyroid Imaging Reporting and Data Systems (TIRADS) were evaluated for the clinical routine. With TIRADS, the risk of malignancy in TNs is calculated by scoring the number or combination of suspicious ultrasound features, leading to recommendations for further diagnostic steps. However, there are only scarce data on the performance of TIRADS for small TNs. The aim was to compare three different TIRADS for risk stratification of small TNs in routine clinical practice. We conducted a retrospective cohort analysis of TNs ≤ 10 mm and their available histology. Nodules were classified according to three different TIRADS. In the study, 140 patients (n = 113 female) with 145 thyroid nodules (n = 76 malignant) were included. Most of the malignant nodules were papillary carcinoma (97%), and the remaining 3% were medullary carcinoma. For all tested TIRADS, the prevalence of malignancy rose with increasing category levels. The highest negative predictive value was found for ACR TI-RADS and the highest positive predictive value for Kwak-TIRADS. All tested variants of TIRADS showed comparable diagnostic performance for the risk stratification of small TNs. TIRADS seems to be a promising tool to reliably assess the risk of malignancy of small TNs.

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