Reviewing secondary outcomes of the ElaTION trial for thyroid nodules
Editorial Commentary

Reviewing secondary outcomes of the ElaTION trial for thyroid nodules

Gavin Low, Karim Samji, Mitchell P. Wilson

Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, AB, Canada

Correspondence to: Gavin Low, MBChB, MPhil, MRCS, FRCR. Department of Radiology and Diagnostic Imaging, University of Alberta Hospital, WMC 2B2.41 8440-112 ST, Edmonton, AB T6G 2B7, Canada. Email: low1@ualberta.ca.

Comment on: Mehanna H, Nankivell P, Boelaert K, et al. Diagnostic Performance of Ultrasound vs Ultrasound-Guided FNAC in Thyroid Nodules: Data From the ElaTION Trial. J Clin Endocrinol Metab 2025;110:1997-2006.


Keywords: Diagnosis; thyroid nodules; ultrasound (US); ultrasound-guided fine-needle aspiration cytology (US-guided FNAC); ElaTION trial


Submitted Dec 17, 2025. Accepted for publication Jan 21, 2026. Published online Feb 05, 2026.

doi: 10.21037/gs-2025-1-589


The article entitled ‘Diagnostic Performance of Ultrasound vs. Ultrasound-Guided FNAC in Thyroid Nodules: Data From the ElaTION Trial’ by Mehanna et al. published in 2025, serves as the focus of this editorial commentary (1). Before exploring the article’s merits, we wish to outline the current challenges in managing thyroid nodules, as well as the relevant ultrasound (US) and cytopathological classification systems used in their diagnostic evaluation. This background information is essential for gaining a clearer understanding of the research and its broader context.

Thyroid nodules are common in the general population (2,3). With a female-to-male ratio of 4:1, and an increasing prevalence with older age, it affects 30% to 40% of individuals aged ≥50 years (4-7). Most nodules are asymptomatic and incidentally discovered on imaging performed for other clinical indications. In general, incidentally detected thyroid nodules are seen in up to 68% of cases on US and 15% on computed tomography or magnetic resonance imaging (8-12). The prevalence of thyroid nodules has risen in recent decades (13-15). This is attributed to greater imaging volumes per capita, which have led to higher detection rates of small, clinically silent thyroid nodules. Up to 90% of thyroid nodules are benign, while 10% are malignant (16,17). Among thyroid cancers, papillary cancer constitutes 80% to 85% of total cases, with most of these cancers being slow-growing and exhibiting indolent biologic behavior. These small, localized thyroid cancers rarely lead to death, particularly in older patients, where mortality is frequently due to other comorbidities. The increased detection of thyroid nodules on imaging has led to more surgical interventions. However, the data indicate that treating these cancers does not confer an additional survival advantage, and the mortality has remained stable compared to previous decades (7,8). Overall, this trend towards overdiagnosis and overtreatment of predominantly small clinically silent thyroid cancers represents a socioeconomic burden for healthcare systems globally. In the United States, overdiagnosis of thyroid cancers occurs in 70–80% of females and 45% of males (8,14). In the United Kingdom, the diagnostic workup of thyroid nodules is estimated to cost the National Health Service over £272 million per year (1).

Given the high prevalence of thyroid nodules and to prevent indiscriminate biopsies, various US-based classification systems have been developed to risk-stratify nodules and determine which can be safely ignored, which can be managed conservatively with imaging follow-up, and which require further investigation with biopsy (3). The most well-known of these US-based classification systems is the American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS), introduced in 2017 (8). In this system, nodules are assigned a points score based on a combination of US findings, including composition, echogenicity, shape, margins and echogenic foci. The overall score is risk-stratified into 1 of 5 TR levels: TR1 ‘benign’ (0 points), TR2 ‘not suspicious’ (2 points), TR3 ‘mildly suspicious’ (3 points), TR4 ‘moderately suspicious’ (4–6 points), and TR5 ‘highly suspicious’ (≥7 points). The TR level is then evaluated alongside nodule size to generate recommendations. Fine-needle aspiration (FNA) biopsy is indicated for TR3 to TR5 nodules, depending on the size threshold. FNA is recommended for TR3 nodules ≥2.5 cm, TR4 nodules ≥1.5 cm, and TR5 nodules ≥1 cm. Additionally, it should be noted that other US-based classification systems, including European Thyroid Imaging and Reporting Data System (EU-TIRADS) and Korean Society of Thyroid Radiology Thyroid Imaging Reporting and Data System (K-TIRADS), have also achieved good diagnostic performance for thyroid nodule assessment, and are effective screening methods for thyroid cancer (18-20).

In the United Kingdom, the ultrasound ‘U’ classification, endorsed by the British Thyroid Association, has been in use since 2014 (Table 1) (21,22). Findings corresponding to U1 and U2 are considered reassuring, while FNA biopsy is recommended for all U3–U5 nodules, regardless of size. In a study of 308 thyroid nodules in 296 patients, McClean et al. showed that the ‘U’ classification had a higher sensitivity (88.1% vs. 73.3%, P=0.0002) but lower specificity (41.6% vs. 64.2%, P<0.0001) compared to ACR TI-RADS for detecting malignant nodules, using histopathology as the reference standard (23). Furthermore, the data indicated that the positive predictive values for both US classifications were comparable when evaluating nodules of equivalent risk scores: U3 vs. TR3 (P=0.81), U4 vs. TR4 (P=0.30), U5 vs. TR5 (P=0.90) (23).

Table 1

British Thyroid Association ultrasound ‘U’ classification for thyroid nodules (21,22)

Classification Definition
U1 Normal
U2 Benign Halo, isoechoic/mildly hyperechoic
Cystic change ± ring down sign (colloid)
Microcystic/spongiform
Peripheral eggshell calcification
Peripheral vascularity
U3 Indeterminate Homogeneous, hyperechoic (markedly), solid, halo (follicular lesion)
Questionably hypoechoic, equivocal echogenic foci, cystic change
Mixed/central vascularity
U4 Suspicious Solid, hypoechoic
Solid, very hypoechoic
Disrupted peripheral calcification, hypoechoic
Lobulated outline
U5 Malignant Solid, hypoechoic, lobulated/irregular outline, microcalcification (suspected papillary cancer)
Solid hypoechoic, lobulated/irregular outline, globular calcification (suspected medullary cancer)
Intranodular vascularity
Taller > wide shape
Characteristic associated lymphadenopathy

Reproduced with permission from SAGE Publications.

Thyroid cytopathology is reported using the Bethesda System (3rd edition, 2023) in the United States and the Thy System in the United Kingdom (Table 2) (21,24). Bethesda categories I and II correspond to Thy 1 and 2, respectively. Likewise, Bethesda category III corresponds to Thy 3a, Bethesda category IV to Thy 3f, Bethesda category V to Thy 4, and Bethesda category VI to Thy 5.

Table 2

The Bethesda (3rd edition, 2023) and Thy systems for reporting thyroid cytopathology (21,24)

Bethesda Thy
Category I: non-diagnostic Thy 1: non-diagnostic
Category II: benign Thy 2: benign
Category III: atypia of undetermined significance Thy 3a: atypia of undetermined significance or follicular lesion of undetermined significance
Category IV: follicular neoplasm Thy 3f: follicular neoplasm or suspicious for follicular neoplasm
Category V: suspicious for malignancy Thy 4: suspicious for malignancy
Category VI: malignant Thy 5: malignant

The ElaTION trial, conducted by Mehanna et al., was a multicenter, unblinded, randomized controlled trial conducted across 18 secondary and tertiary hospitals in England from February 2015 to September 2018. The primary analysis, published in Radiology in 2024, indicated that elastography US-guided fine-needle aspiration cytology (FNAC) did not provide an additional benefit over standard US-guided FNAC in differentiation between benign vs. malignant thyroid nodules (25). The secondary trial outcomes, discussed in this commentary, were published a year later in the Journal of Clinical Endocrinology & Metabolism (1). This study aimed to assess the accuracy of US vs. US-guided FNAC in diagnosing thyroid nodules. The eligibility criteria included euthyroid individuals aged 18 years or older with single or multiple nodules. Exclusion criteria included a US-guided FNAC in the previous 6 months, pregnancy, bleeding diathesis, needle phobia that prevented FNA, and US evidence of recent hemorrhage within a thyroid nodule. During the trial, operators—either consultant radiologists or senior sonographers who had completed a 5-step training accreditation developed by ElaTION—had access to the complete clinical information of participants. In cases with multiple nodules, the most suspicious nodule on US was analyzed. All aspects of patient management, including the selection of nodules to biopsy and who received surgery, adhered to British Thyroid Association guidelines. Participants were discharged from the trial after reaching a final definitive diagnosis (FDD), which was determined by: (I) definitive post-surgical histology; (II) two benign Thy 2 results; (III) a combination of one U2 finding and one Thy 2 result; (IV) a 1-year follow-up if a definitive diagnosis was not achieved within the first year. A malignant FDD was based on receiving a malignant diagnosis on histology. A benign FDD was based on any of the following: a benign diagnosis on histology, two Thy 2 results, or the combination of one U2 finding and one Thy 2 result.

Of the 982 participants enrolled in the trial, a final diagnosis was obtained in 688, who were included in the final analysis. The mean age was 51.3±15.2 years, and 80.3% were female. A multinodular thyroid was identified in 71% of cases. 79% of nodules were ≤4 cm, with a mean size of 2.74±1.56 cm. 53% of nodules were solid, and 47% were solid-cystic. Nodules were isoechoic in 55%, hypoechoic in 36%, and hyperechoic in 9%. Both trial arms were well-balanced with respect to baseline characteristics. On US assessment, U2 findings were seen in 29.5%, U3 in 54.2%, U4 in 11.5%, and U5 in 4.3%. In participants with an FDD, a benign diagnosis was demonstrated in 78% and a malignant diagnosis in 22%. For malignant nodules, outcome analysis showed no significant difference in sensitivity between US (0.91, 95% CI: 0.85 to 0.97) vs. US-FNAC (0.87, 95% CI: 0.80 to 0.95; P=0.37). However, the specificity for benign nodules was lower with US (0.48, 95% CI: 0.40 to 0.52) than with US-FNAC (0.67, 95% CI: 0.61 to 0.73; P<0.0001). The risk of malignancy increased with higher ‘U’ classification grading (U2, 3.4%; U3, 22.4%; U4, 51.8%; U5, 76.3%; P<0.0001). The malignancy rate for nodules classified as benign on cytology (Thy 2) was 4.25%. Furthermore, the malignancy risk for nodules classified as benign on both US and cytology (U2Thy2) was 1.43%. Thy 3 and Thy 3f nodules carried the same malignancy risk (28.4% vs. 37.2%, P=0.18). Malignancy rates appeared to be higher in small nodules: 38.3% in nodules <1 cm vs. 28.4% in nodules between 1 and 2 cm vs. 17.2% in nodules >2 cm (P<0.0001).

The study has several strengths. It is a large, prospective, multicenter trial with a pragmatic, real-world design and strong participation from both secondary and tertiary hospitals. It delivers high-quality, evidence-based data and was conducted in accordance with the Standards for Reporting Diagnostic Accuracy Studies (STARD) guidelines. Historically, the guidelines for managing thyroid nodules established by the British Thyroid Association (2014) and the American Thyroid Association (2015) have heavily relied on retrospective single-institution studies performed at expert centers (21,26). This trial directly compares the diagnostic performance of US vs. US-FNAC for evaluating thyroid nodules. This important clinical question is addressed in one of the largest prospective studies available in the medical literature. In contrast, most previous studies compared the US with histology. This trial confirms the effectiveness of US in evaluating thyroid nodules, in support of recent guidelines, and validates the ‘U’ classification system (21,26). It provides detailed risk estimates for combined US-cytology strata, offering specific malignancy rates for various US-Thy combinations rather than merely presenting area under the curve (AUC) values. This information enhances shared decision-making and complements existing ACR-TI-RADS category-based risk estimates (3,27). The trial findings have implications for future strategy, including highlighting a need for caution regarding current guideline recommendations on the conservative management of non-diagnostic (Thy 1/Bethesda I) and atypical (Thy 3/Bethesda III) nodules. When accompanied by U3–U5 findings, these nodules constitute a high-risk subgroup that warrants more proactive management.

The trial has several limitations. An incomplete FDD was present in 294 of 982 (30%) participants. The fact that only 70% of participants had a complete FDD may introduce verification bias, as clinicians may have preferentially evaluated nodules they were more concerned about. Additionally, the trial was not formally powered to assess differences in thyroid cancer accuracy between US vs. US-guided FNAC. Small strata such as U2Thy3f and U5Thy1 contain few cases and wide confidence intervals. The reported malignancy rates for Thy 1 (12.1%) and Thy 3a (28.4%) are likely upper-bound estimates—the authors acknowledge this selection bias, but the numbers are heavily used in the study’s interpretation. Furthermore, the trial employed a composite reference standard with a minimum follow-up period of 1 year. While this approach may exclude aggressive malignancies, it could potentially miss some low-risk cancers. The lack of blinding between the US interpretation and FNAC/clinical management could lead to review and incorporation bias, particularly affecting which participants receive surgical intervention and, consequently, histological confirmation. Given the use of ‘U’ and Thy classifications in the trial methodology, the trial finding may have limited generalizability outside the United Kingdom, where this system of practice is not used. Molecular testing and AI-based risk tools were not integrated into the trial design. While this exclusion may have been intended to keep the trial design ‘clean’, it limits the trial’s applicability when looking at innovative solutions that may advance thyroid nodule management.

The trial findings raise some questions. The prevalence of malignancy was unexpectedly high at 22%, exceeding the 10% rate commonly cited in the medical literature (16,17). No explanation was provided for this discrepancy. The literature presents conflicting reports regarding the relationship between thyroid nodule size and cancer risk. The trial findings indicated a higher malignancy rate in small nodules (38.3% in nodules <1 cm vs. 17.2% in nodules >2 cm). However, an exploratory post hoc analysis (results not reported in the study) suggested that nodule size was not a significant predictor of cancer. The authors offer a potential explanation for this finding, pointing to radiologist selection bias: a reluctance to biopsy smaller nodules unless they exhibit US findings strongly suggesting malignancy, whereas adopting a lower threshold for biopsy of larger nodules with less suspicious features.

In conclusion, the trial by Mehanna et al. confirms that US-based risk stratification alone can achieve sensitivities comparable to those of FNAC-based pathways. This reinforces the direction of thyroid nodule management guidelines established by the British Thyroid Association (2014) and American Thyroid Association (2015). It aligns with large meta-analyses that show that US-based systems, such as ACR-TI-RADS, can safely reduce the number of unnecessary FNAs while maintaining high sensitivity (27,28). Furthermore, it supports reviews highlighting that US features are highly informative in indeterminate cytology (Bethesda III to IV/Thy 3a and 3f) and can re-stratify risk (3,29). Finally, it contributes prospective multicenter real-world evidence to the literature that is currently dominated by retrospective single-center studies.


Acknowledgments

None.


Footnote

Provenance and Peer Review: This article was commissioned by the editorial office, Gland Surgery. The article has undergone external peer review.

Peer Review File: Available at https://gs.amegroups.com/article/view/10.21037/gs-2025-1-589/prf

Funding: None.

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://gs.amegroups.com/article/view/10.21037/gs-2025-1-589/coif). The authors have no conflicts of interest to declare.

Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.


References

  1. Mehanna H, Nankivell P, Boelaert K, et al. Diagnostic Performance of Ultrasound vs Ultrasound-Guided FNAC in Thyroid Nodules: Data From the ElaTION Trial. J Clin Endocrinol Metab 2025;110:1997-2006. [Crossref] [PubMed]
  2. Russ G, Bonnema SJ, Erdogan MF, et al. European Thyroid Association Guidelines for Ultrasound Malignancy Risk Stratification of Thyroid Nodules in Adults: The EU-TIRADS. Eur Thyroid J 2017;6:225-37. [Crossref] [PubMed]
  3. Smit EJ, Samadi S, Wilson MP, et al. Cancer Risk in Thyroid Nodules: An Analysis of Over 1000 Consecutive FNA Biopsies Performed in a Single Canadian Institution. Diagnostics (Basel) 2024;14:2775. [Crossref] [PubMed]
  4. Mazzaferri EL. Management of a solitary thyroid nodule. N Engl J Med 1993;328:553-9. [Crossref] [PubMed]
  5. Russ G, Leboulleux S, Leenhardt L, et al. Thyroid incidentalomas: epidemiology, risk stratification with ultrasound and workup. Eur Thyroid J 2014;3:154-63. [Crossref] [PubMed]
  6. Ageeli RS, Mossery RA, Othathi RJ, et al. The Importance of the Thyroid Nodule Location in Determining the Risk of Malignancy: A Retrospective Study. Cureus 2022;14:e29421. [Crossref] [PubMed]
  7. Davies L, Welch HG. Current thyroid cancer trends in the United States. JAMA Otolaryngol Head Neck Surg 2014;140:317-22. [Crossref] [PubMed]
  8. Tessler FN, Middleton WD, Grant EG, et al. ACR Thyroid Imaging, Reporting and Data System (TI-RADS): White Paper of the ACR TI-RADS Committee. J Am Coll Radiol 2017;14:587-95. [Crossref] [PubMed]
  9. Guth S, Theune U, Aberle J, et al. Very high prevalence of thyroid nodules detected by high frequency (13 MHz) ultrasound examination. Eur J Clin Invest 2009;39:699-706. [Crossref] [PubMed]
  10. Youserm DM, Huang T, Loevner LA, et al. Clinical and economic impact of incidental thyroid lesions found with CT and MR. AJNR Am J Neuroradiol 1997;18:1423-8.
  11. Yoon DY, Chang SK, Choi CS, et al. The prevalence and significance of incidental thyroid nodules identified on computed tomography. J Comput Assist Tomogr 2008;32:810-5. [Crossref] [PubMed]
  12. Shetty SK, Maher MM, Hahn PF, et al. Significance of incidental thyroid lesions detected on CT: correlation among CT, sonography, and pathology. AJR Am J Roentgenol 2006;187:1349-56. [Crossref] [PubMed]
  13. Vaccarella S, Dal Maso L, Laversanne M, et al. The Impact of Diagnostic Changes on the Rise in Thyroid Cancer Incidence: A Population-Based Study in Selected High-Resource Countries. Thyroid 2015;25:1127-36. [Crossref] [PubMed]
  14. Vaccarella S, Franceschi S, Bray F, et al. Worldwide Thyroid-Cancer Epidemic? The Increasing Impact of Overdiagnosis. N Engl J Med 2016;375:614-7. [Crossref] [PubMed]
  15. Davies L, Welch HG. Increasing incidence of thyroid cancer in the United States, 1973-2002. JAMA 2006;295:2164-7. [Crossref] [PubMed]
  16. Borges AP, Antunes C, Caseiro-Alves F, et al. Analysis of 665 thyroid nodules using both EU-TIRADS and ACR TI-RADS classification systems. Thyroid Res 2023;16:12. [Crossref] [PubMed]
  17. Dean DS, Gharib H. Epidemiology of thyroid nodules. Best Pract Res Clin Endocrinol Metab 2008;22:901-11. [Crossref] [PubMed]
  18. Wu JY, Cheng PC, Wen MH, et al. Comparative Diagnostic Performance of Ultrasound-Based Risk Stratification Systems in Thyroid Nodule Evaluations by Otolaryngologists. Diagnostics (Basel) 2026;16:128. [Crossref] [PubMed]
  19. Tobcu E, Karavaş E, Yılmaz GT, et al. Comparison of K-TIRADS, EU-TIRADS and ACR-TIRADS Guidelines for Malignancy Risk Determination of Thyroid Nodules. Diagnostics (Basel) 2025;15:1015. [Crossref] [PubMed]
  20. David E, Aliotta L, Frezza F, et al. Thyroid Nodule Characterization: Which Thyroid Imaging Reporting and Data System (TIRADS) Is More Accurate? A Comparison Between Radiologists with Different Experiences and Artificial Intelligence Software. Diagnostics (Basel) 2025;15:2108. [Crossref] [PubMed]
  21. Perros P, Boelaert K, Colley S, et al. Guidelines for the management of thyroid cancer. Clin Endocrinol (Oxf) 2014;81:1-122. [Crossref] [PubMed]
  22. Couzins M, Forbes S, Vigneswaran G, et al. Ultrasound grading of thyroid nodules using the BTA U-scoring guidelines - Is there evidence of intra-and interobserver variability? Ultrasound 2021;29:100-5. [Crossref] [PubMed]
  23. McClean S, Omakobia E, England RJA. Comparing ultrasound assessment of thyroid nodules using BTA U classification and ACR TIRADS measured against histopathological diagnosis. Clin Otolaryngol 2021;46:1286-9. [Crossref] [PubMed]
  24. Juhlin CC, Baloch ZW. The 3(rd) Edition of Bethesda System for Reporting Thyroid Cytopathology: Highlights and Comments. Endocr Pathol 2024;35:77-9. [Crossref] [PubMed]
  25. Mehanna H, Sidhu PS, Madani G, et al. Evaluation of US Elastography in Thyroid Nodule Diagnosis: The ElaTION Randomized Control Trial. Radiology 2024;313:e240705. [Crossref] [PubMed]
  26. Haugen BR, Alexander EK, Bible KC, et al. 2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: The American Thyroid Association Guidelines Task Force on Thyroid Nodules and Differentiated Thyroid Cancer. Thyroid 2016;26:1-133. [Crossref] [PubMed]
  27. Castellana M, Castellana C, Treglia G, et al. Performance of Five Ultrasound Risk Stratification Systems in Selecting Thyroid Nodules for FNA. J Clin Endocrinol Metab 2020;105:dgz170. [Crossref] [PubMed]
  28. Ahn HS, Kim HJ, Welch HG. Korea's thyroid-cancer "epidemic"--screening and overdiagnosis. N Engl J Med 2014;371:1765-7. [Crossref] [PubMed]
  29. Low G, Bara M, Du Y, et al. Tips for improving consistency of thyroid nodule interpretation with ACR TI-RADS. J Ultrason 2022;22:e51-6. [Crossref] [PubMed]
Cite this article as: Low G, Samji K, Wilson MP. Reviewing secondary outcomes of the ElaTION trial for thyroid nodules. Gland Surg 2026;15(2):29. doi: 10.21037/gs-2025-1-589

Download Citation