• Users Online: 145
  • Print this page
  • Email this page

ORIGINAL ARTICLE Table of Contents  
Ahead of print publication
Performance of European thyroid imaging reporting and data system in stratifying malignancy risk of thyroid nodules: A prospective study


1 Department of Radiology, Shahid Beheshti Hospital, Babol University of Medical Sciences, Babol, Iran
2 Department of Endocrinology, Rohani Hospital, Babol University of Medical Sciences, Babol, Iran

Click here for correspondence address and email

Date of Submission20-Feb-2022
Date of Decision07-Apr-2022
Date of Acceptance24-May-2022
Date of Web Publication22-Sep-2022
 

  Abstract 


Background: There is a limited number of studies reporting the performance of European Thyroid Imaging Reporting and Data System (EU-TIRADS) guideline in identifying thyroid nodule malignancy. We aimed to evaluate diagnostic accuracy of EU-TIRADS regardless of thyroid nodule size. Methods: During August 2019-November 2021, subjects with thyroid nodules were prospectively included. Sonographic characteristics were recorded and scored as per EU-TIRADS guideline. Finally, fine-needle aspiration (FNA) was performed, and cytological findings were reported. Results: Totally, 1266 thyroid nodules from 984 subjects were assessed, of which 295 nodules were smaller than 10 mm and 971 nodules were 10 mm or larger. Among nodules <10 mm, prevalence rates of malignancy for EU-TIRADS classes 2–5 were 0.0%, 3.7%, 20.6%, and 40.9%, respectively; these rates among nodules ≥10 mm were 2.3%, 4.0%, 19.3%, and 43.2%, respectively. The accuracy values of EU-TIRADS class 5 and EU-TIRADS class 4 or 5 in diagnosis of malignancy for nodules <10 mm were 86.4% and 79.7%, respectively; these rates for nodules ≥10 mm were 83.8% and 76.3%, respectively. Hypoechogenicity, microcalcification, ill-defined and irregular margins were predictors for malignancy regardless of thyroid nodule size. Conclusion: EU-TIRADS could provide an acceptable malignancy risk stratification that is helpful for better distinguishing benignity from malignancy, as well as preventing unnecessary FNA biopsies, in thyroid nodules irrespective of their size.

Keywords: Malignancy, Thyroid Imaging Reporting and Data System, thyroid nodules, ultrasonography


How to cite this URL:
Nabahati M, Moazezi Z. Performance of European thyroid imaging reporting and data system in stratifying malignancy risk of thyroid nodules: A prospective study. J Med Ultrasound [Epub ahead of print] [cited 2023 Mar 22]. Available from: http://www.jmuonline.org/preprintarticle.asp?id=356714





  Introduction Top


Thyroid nodules are commonly diagnosed among adult population in clinical practice and/or with ultrasonography. They are usually asymptomatic; however, up to a sixth of them can be malignant.[1] Therefore, distinguishing between benign and malignant thyroid nodules is important. For this aim, ultrasound-guided fine needle aspiration (FNA) biopsy with cytology is principally recommended; however, FNA overuse can be associated with rising healthcare costs and stress for the cases.[2],[3] For selective FNA biopsies, an ultrasound-based risk stratification system for thyroid nodule malignancy was developed in 2009 by Horvath et al.[4] named Thyroid Imaging Reporting and Data System (TIRADS). Since that time, various versions of this system have been proposed, such as American College of Radiology TIRADS, Korean TIRADS, and European TIRADS (EU-TIRADS).[5],[6]

EU-TIRADS was developed by European Thyroid Association in 2017.[7] A limited number of studies have reported the performance of this guideline in identifying thyroid nodule malignancy with variable accuracy values. A recent meta-analysis on four studies reported that the pooled sensitivity and specificity for nodule malignancy were 85% and 61%, respectively;[8] however, more studies are needed to reach a more comprehensive consensus on the accuracy of EU-TIRADS in detecting malignant thyroid nodules.

Thyroid nodules are common diseases of thyroid gland in Iran due to dietary iodine deficiency. Also, previous data have shown that there has been an increasing trend towards incidence of thyroid cancer (mostly papillary thyroid cancer) in this country over the past decade.[9],[10] Therefore, it is important to distinguish between malignant and benign nodules using an accurate diagnostic approach.

Most of the studies assessing the diagnostic performance of TIRADS guidelines were conducted on thyroid nodules larger than 10 mm, while a considerable percentage of thyroid malignancies pertains to nodules smaller than 10 mm (microcarcinomas).[11] In the present study, we aimed to evaluate the performance of EU-TIRADS in discriminating benignity from malignancy regardless of thyroid nodule size.


  Materials and Methods Top


From August 2019 to November 2021, subjects with thyroid nodules were prospectively included in this study. The cases were referred by an endocrinologist from clinics of Shahid Beheshti Teaching Hospital or private offices in Babol, northern Iran to the radiologists for sonography and FNA biopsy. The patients were excluded if they met the following criteria: (1) nodules with purely cystic component; (2) nodules with atypical diagnosis in cytology; (3) subjects not willing to participate in the survey. A written informed consent was obtained from all of the participants. The study protocol was approved by the ethics committee of Babol University of Medical Sciences (code: IR.MUBABOL.REC.1400.155). The patients' information was kept confidential.

Thyroid ultrasonography was conducted by two senior radiologists using a Samsung H60 ultrasound machine with a 3–14 MHz linear probe. The following sonographic characteristics were recorded for each nodule: size, calcification (microcalcification, coarse calcification, rim calcification), margins (regular, ill-defined, irregular), echogenicity (hyperechogenicity, isoechogenicity, hypoechogenicity), composition (solid-cystic, solid), and shape (taller-than-wide, wider-than-tall). The nodules findings were then evaluated as per the EU-TIRADS guideline. According to EU-TIRADS, irregular shape (nonoval or round), irregular margins, microcalcifications, and a marked hypoechogenicity, are defined as ultrasound features of high suspicion for malignancy.[7] This system is categorized as follows: EU-TIRADS 2 (benign, malignancy risk of 0%), EU-TIRADS 3 (low risk, malignancy risk of 2%–4%), EU-TIRADS 4 (intermediate risk, malignancy risk of 6%–17%), EU-TIRADS 5 (high risk, malignancy risk of 26%–87%). The radiologists reviewed the thyroid nodules independently and any disagreements were resolved by consensus. The interobserver agreement between the radiologists was assessed with Kappa statistics.

The FNA biopsy was performed under the guidance of ultrasound by an expert radiologist using a 5 ml plastic syringe attached to a 23-gauge needle with the free hand-biopsy technique. The specimens were then smeared on microscope glass slides, dried in the air, and fixed with 95% alcohol. Most of the thyroid nodules underwent FNA once by the radiologist. There were a few nodules underwent FNA twice. The cytological assessment was conducted by two expert pathologists who were blinded to the ultrasonographic diagnosis of the thyroid nodules. The final decision (suspicious for benignity or malignancy) was made with consensus. We excluded FNA aspirates with scant cellularity.

The collected data initially underwent descriptive analysis using SPSS software (IBM, Armonk, NY, USA); then, performance of the EU-TIRADS guideline in the diagnosis of malignant thyroid nodules was calculated, including sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy. To estimate the ability of the EU-TIRADS for predicting the malignancy, we used a receiver operator characteristics (ROC) analysis, as estimated by the area under the curve (AUC). These analyses were conducted for cut-off values of 4 and 5 for the EU-TIRADS, separately. Logistic regression analysis was used to investigate the association between different ultrasonographic characteristics and malignancy risk; the results were presented as odds ratio (OR) along with 95% confidence interval (CI). A P < 0.05 was considered as significant.


  Results Top


A total of 984 subjects (112 men and 872 women, with a mean age of 45.4 ± 13.1 years old) with 1266 thyroid nodules were finally included in this study, of which 295 nodules were smaller than 10 mm and 971 nodules were 10 mm or larger. In total, 163 nodules (12.9%) were suspected to be malign, of which 138 malignant nodules were consistent with papillary thyroid carcinoma and others were follicular neoplasm according to cytology. A good interobserver agreement was seen between the two radiologists (Kappa = 0.75).

[Table 1] shows the distribution of benign and malignant thyroid nodules for different categories of EU-TIRADS. Among nodules <10 mm, prevalence rates of malignancy for EU-TIRADS classes 2–5 were 0.0%, 3.7%, 20.6%, and 40.9%, respectively. These rates among nodules ≥10 mm were 2.3%, 4.0%, 19.3%, and 43.2%, respectively.
Table 1: Rates of malignancy in European Thyroid Imaging Reporting and Data System categories according to the thyroid nodule size

Click here to view


The performance of EU-TIRADS in diagnosis of malignant nodules according to the nodule size was presented in [Table 2]. The accuracy values of EU-TIRADS class 5 and EU-TIRADS class 4 or 5 in nodules <10 mm were 86.4% and 79.7%, respectively. These rates in nodules ≥10 mm were 83.8% and 76.3%, respectively. Comparing these values showed no significant differences between nodules smaller and larger than 10 mm in diagnostic performance of EU-TIRADS [Table 2].
Table 2: Performance of European Thyroid Imaging Reporting and Data System for diagnosis of malignancy according to the thyroid nodule size

Click here to view


The results of ROC curve analysis for the ability of EU-TIRADS categories in differentiating malignant from benign nodules have been demonstrated in [Figure 1] and [Figure 2]. In nodules <10 mm, the predictive ability of EU-TIRADS with a cut-off set at 4 was a bit higher than that of EU-TIRADS 5 (AUC = 0.790 vs. AUC = 0.732). Similarly, in nodules ≥10 mm, a slightly higher predictive ability was observed for EU-TIRADS 4 or 5 compared with EU-TIRADS 5 (AUC = 0.783 vs. AUC = 0.752). [Figure 3], [Figure 4], [Figure 5], [Figure 6] demonstrate the ultrasound-guided FNA of thyroid nodules with their cytological findings.
Figure 1: ROC curve of EU-TIRADS (category 5; category 4 or 5) for predicting malignancy of thyroid nodules smaller than 10 mm. ROC: Receiver operating characteristic, EU-TIRADS: European Thyroid Imaging Reporting and Data System

Click here to view
Figure 2: ROC curve of EU-TIRADS (category 5; category 4 or 5) for predicting malignancy of thyroid nodules larger than 10 mm. ROC: Receiver operating characteristic, EU-TIRADS: European Thyroid Imaging Reporting and Data System

Click here to view
Figure 3: The ultrasound-guided fine-needle aspiration from an isoechoic solid nodule with a rim calcification and a diameter of 4.9 mm (EU-TIRADS 3), which was proved by cytology to be a nodular goiter. EU-TIRADS: European Thyroid Imaging Reporting and Data System. Red arrow shows the nodule

Click here to view
Figure 4: The ultrasound-guided fine-needle aspiration from a mildly hypoechoic solid nodule with a regular margin and a diameter of 9.5 mm (EU-TIRADS 4), which was proved by cytology to be a colloid nodule. EU-TIRADS: European Thyroid Imaging Reporting and Data System. Red arrow shows the nodule

Click here to view
Figure 5: The ultrasound-guided fine-needle aspiration from a hypoechoic solid nodule with punctate echogenic foci and a diameter of 15 mm (EU-TIRADS 5), which was proved by cytology to be a papillary carcinoma. EU-TIRADS: European Thyroid Imaging Reporting and Data System. Red arrow shows the nodule

Click here to view
Figure 6: The ultrasound-guided fine-needle aspiration from a hyperechoic solid nodule with a regular margin and a diameter of 17 mm (EU-TIRADS 3), which was proved by cytology to be a nodular goiter. EU-TIRADS: European Thyroid Imaging Reporting and Data System. Red arrow shows the nodule.

Click here to view


In [Table 3] and [Table 4], the potential association between the sonographic features and risk of malignancy in nodules <10 mm and ≥10 mm has been represented, respectively. In nodules smaller than 10 mm, hypoechogenicity (OR = 5.91), microcalcification (OR = 4.30), ill-defined margin (OR = 4.15), and irregular margin (OR = 9.17) were found as predictors for malignancy. In nodules ≥10 mm, hypoechogenicity (OR = 3.81), microcalcification (OR = 5.38), solid component (OR = 4.40), ill-defined margin (OR = 2.94), and irregular margin (OR = 4.45) were associated with risk of malignancy.
Table 3: Association of different sonographic characteristics with cytology findings in thyroid nodules smaller than 10 mm

Click here to view
Table 4: Association of different sonographic characteristics with cytology findings in thyroid nodules larger than 10 mm

Click here to view



  Discussion Top


In this study, we assessed the diagnostic performance of EU-TIRADS guideline in 295 nodules smaller than 10 mm and 971 nodules larger than 10 mm. The malignancy rates in each EU-TIRADS category were almost comparable between the two size groups of the nodules, and were in the range cited in the guidelines;[5],[12] however, it is noteworthy that none of the nodules <10 mm was malignant in EU-TIRADS class 2, while 2.3% of the nodules ≥10 mm were malignant in the same class. In the study by Kovatcheva et al.[13] assessing the diagnostic performance of EU-TIRADS irrespective of nodule size, the malignancy rates in EU-TIRADS classes 2–5 were 0.0%, 0.0%, 3.8%, and 30.6%, respectively, which were somewhat lower than those found in our study; on the other hand, some other studies reported higher malignancy rates compared with our study.[12],[14] A recent meta-analysis by Castellana et al.[15] reported that the prevalence of malignancy in the EU-TIRADS classes 2–5 is 0.5%, 5.9%, 21.4%, and 76.1%, respectively.

Our findings also showed an acceptable accuracy for EU-TIRADS in diagnosis of malignant thyroid nodules. In both size groups of the nodules, the specificity and NPV were higher than sensitivity and PPV, respectively, for category 5. When the analyses were done for EU-TIRADS with a cut-off set at 4, sensitivities and NPVs partially increased compared with the category 5; conversely, specificities, PPVs, and accuracies decreased. In a recent meta-analysis by Kim et al.,[16] they reported that sensitivity and specificity of EU-TIRADS 5 were 78% (similar to our findings) and 89% (higher than our findings), respectively; these values for EU-TIRADS 4 or 5 were 96% (higher than our findings) and 48% (lower than our findings), respectively. Overall, the differences in the values of diagnostic parameters of EU-TIRADS could partly result from differences in the skills of radiologists or pathologists, as well as quality of the imaging devices, tests per case percentages, etc.

According to the present study, diagnostic parameters of EU-TIRADS for nodules <10 mm and ≥10 mm did not differ significantly; in other words, nodule size did not affect the diagnostic performance of EU-TIRADS guideline. These findings were in agreement with the study by Trimboli et al.,[17] but in contrast to Kovatcheva et al.'s study.[13] Overall, as per the EU-TIRADS guideline, FNA biopsy is recommended for the following conditions:[7] (1) category 5: nodules larger than 10 mm, or nodules <10 mm when suspicious lymph nodes are found; (2) category 4: nodules larger than 15 mm; and (3) category 3: nodules larger than 20 mm. Considering the results found in our survey, it is recommended to use EU-TIRADS guideline in assessment of nodules with any sizes for better distinguishing benignity from malignancy, as well as preventing unnecessary FNA biopsies; however, more surveys need to be done to extend our knowledge toward the diagnostic performance of EU-TIRADS guideline comparing with other guidelines.

In the present study, it was observed that hypoechogenicity, microcalcification, ill-defined, and irregular margins were predictors for malignancy in thyroid nodules <10 mm and ≥10 mm. Of course, solid composition was associated with risk of malignancy in nodules ≥10 mm as well. These results were consistent with previously published data.[18],[19] On the other hand, nodule size and taller-than-wide shape did not have a significant association with nodule malignancy. It is noteworthy that the number of nodules with a taller-than-wide shape was low; so, these results should be interpreted with caution.

The strength points of this study were mainly its prospective design and a large number of nodules assessed. On the other hand, lack of the histological results of the malignant nodules was a limitation of the present survey. Another limitation was lack of evaluation of atypia and Bethesda classification. Furthermore, it would be more valuable to design new studies comparing the diagnostic accuracy of EU-TIRADS with Artificial Intelligence TIRADS. Moreover, it is proposed to carry out multicenter studies with larger sample sizes of different thyroid cancer types (such as papillary carcinoma, follicular neoplasm, etc.) in the future, in order to better identify the diagnostic performance of EU-TIRADS for these cancers separately.


  Conclusion Top


The results of the present study demonstrated that EU-TIRADS can provide an acceptable malignancy risk stratification that is helpful for better distinguishing benignity from malignancy, as well as preventing unnecessary FNA biopsies, in thyroid nodules irrespective of their size.

Acknowledgment

We would like to thank the Vice Chancellor for the Research of Babol University of Medical Sciences for supporting this study. We are also thankful to Dr. Rahele Mehraeen for her contribution in thyroid ultrasonography, and Dr. Kourosh Movagharnejad and Dr. Majid Sharbatdaran for their help in cytological assessments.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.



 
  References Top

1.
Popoveniuc G, Jonklaas J. Thyroid nodules. Med Clin North Am 2012;96:329-49.  Back to cited text no. 1
    
2.
Dal Maso L, Panato C, De Paoli A, Mattioli V, Serraino D, Elisei R, et al. Trends in thyroid function testing, neck ultrasound, thyroid fine needle aspiration, and thyroidectomies in North-eastern Italy. J Endocrinol Invest 2021;44:1679-88.  Back to cited text no. 2
    
3.
Cantara S, Marzocchi C, Pilli T, Cardinale S, Forleo R, Castagna MG, et al. Molecular signature of indeterminate thyroid lesions: Current methods to improve fine needle aspiration cytology (FNAC) diagnosis. Int J Mol Sci 2017;18:775.  Back to cited text no. 3
    
4.
Horvath E, Majlis S, Rossi R, Franco C, Niedmann JP, Castro A, et al. An ultrasonogram reporting system for thyroid nodules stratifying cancer risk for clinical management. J Clin Endocrinol Metab 2009;94:1748-51.  Back to cited text no. 4
    
5.
Trimboli P, Knappe L, Treglia G, Ruberto T, Piccardo A, Ceriani L, et al. FNA indication according to ACR-TIRADS, EU-TIRADS and K-TIRADS in thyroid incidentalomas at 18F-FDG PET/CT. J Endocrinol Invest 2020;43:1607-12.  Back to cited text no. 5
    
6.
Middleton WD, Teefey SA, Reading CC, Langer JE, Beland MD, Szabunio MM, et al. Comparison of performance characteristics of American College of Radiology TI-RADS, Korean Society of Thyroid Radiology TIRADS, and American Thyroid Association Guidelines. AJR Am J Roentgenol 2018;210:1148-54.  Back to cited text no. 6
    
7.
Russ G, Bonnema SJ, Erdogan MF, Durante C, Ngu R, Leenhardt L. European Thyroid Association guidelines for ultrasound malignancy risk stratification of thyroid nodules in adults: The EU-TIRADS. Eur Thyroid J 2017;6:225-37.  Back to cited text no. 7
    
8.
Yang R, Zou X, Zeng H, Zhao Y, Ma X. Comparison of diagnostic performance of five different ultrasound TI-RADS classification guidelines for thyroid nodules. Front Oncol 2020;10:598225.  Back to cited text no. 8
    
9.
Safavi A, Azizi F, Jafari R, Chaibakhsh S, Safavi AA. Thyroid cancer epidemiology in Iran: A time trend study. Asian Pac J Cancer Prev 2016;17:407-12.  Back to cited text no. 9
    
10.
Salamat F, Aryannia A, Rajaei S, Naeimi-Tabiei M, Afghani R, Sedaghat SM, et al. Temporal and geographical trends of incidence of thyroid cancer in Golestan, Iran, 2004-2013. Arch Iran Med 2021;24:1-6.  Back to cited text no. 10
    
11.
Mendes GF, Garcia MR, Falsarella PM, Rahal A, Cavalcante Junior FA, Nery DR, et al. Fine needle aspiration biopsy of thyroid nodule smaller than 1.0 cm: Accuracy of TIRADS classification system in more than 1000 nodules. Br J Radiol 2018;91:20170642.  Back to cited text no. 11
    
12.
Schenke S, Klett R, Seifert P, Kreissl MC, Görges R, Zimny M. 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). J Clin Med 2020;9:236.  Back to cited text no. 12
    
13.
Kovatcheva RD, Shinkov AD, Dimitrova ID, Ivanova RB, Vidinov KN, Ivanova RS. Evaluation of the diagnostic performance of EU-TIRADS in discriminating benign from malignant thyroid nodules: A prospective study in one referral center. Eur Thyroid J 2021;9:304-12.  Back to cited text no. 13
    
14.
Shi YX, Chen L, Liu YC, Zhan J, Diao XH, Fang L, et al. Differences among the Thyroid Imaging Reporting and Data System proposed by Korean, the American College of Radiology and the European Thyroid Association in the diagnostic performance of thyroid nodules. Transl Cancer Res 2020;9:4958-67.  Back to cited text no. 14
    
15.
Castellana M, Grani G, Radzina M, Guerra V, Giovanella L, Deandrea M, et al. Performance of EU-TIRADS in malignancy risk stratification of thyroid nodules: A meta-analysis. Eur J Endocrinol 2020;183:255-64.  Back to cited text no. 15
    
16.
Kim DH, Chung SR, Choi SH, Kim KW. Accuracy of thyroid imaging reporting and data system category 4 or 5 for diagnosing malignancy: A systematic review and meta-analysis. Eur Radiol 2020;30:5611-24.  Back to cited text no. 16
    
17.
Trimboli P, Ngu R, Royer B, Giovanella L, Bigorgne C, Simo R, et al. A multicentre validation study for the EU-TIRADS using histological diagnosis as a gold standard. Clin Endocrinol (Oxf) 2019;91:340-7.  Back to cited text no. 17
    
18.
Remonti LR, Kramer CK, Leitão CB, Pinto LC, Gross JL. Thyroid ultrasound features and risk of carcinoma: A systematic review and meta-analysis of observational studies. Thyroid 2015;25:538-50.  Back to cited text no. 18
    
19.
Nabahati M, Moazezi Z, Fartookzadeh S, Mehraeen R, Ghaemian N, Sharbatdaran M. The comparison of accuracy of ultrasonographic features versus ultrasound-guided fine-needle aspiration cytology in diagnosis of malignant thyroid nodules. J Ultrasound 2019;22:315-21.  Back to cited text no. 19
    

Top
Correspondence Address:
Zoleika Moazezi,
Department of Endocrinology, Rohani Hospital, Babol University of Medical Sciences, Ganjafrooz Street, Babol, Mazandaran 47176-47745
Iran
Login to access the Email id

Source of Support: None, Conflict of Interest: None



    Figures

  [Figure 1], [Figure 2], [Figure 3], [Figure 4], [Figure 5], [Figure 6]
 
 
    Tables

  [Table 1], [Table 2], [Table 3], [Table 4]



 

Top
 
  Search
 
   Ahead Of Print
  
 Download PDF Version
     Search Pubmed for
 
    -  Nabahati M
    -  Moazezi Z


Abstract
Introduction
Materials and Me...
Results
Discussion
Conclusion
References
Article Figures
Article Tables

 Article Access Statistics
    Viewed342    
    PDF Downloaded21    

Recommend this journal