Skip to main content

ORIGINAL RESEARCH article

Front. Endocrinol., 09 February 2024
Sec. Thyroid Endocrinology
This article is part of the Research Topic Advances in precision medicine in the management of thyroid nodules and thyroid cancer View all 13 articles

Ultrasonographic predictors of thyroid cancer in Bethesda III and IV thyroid nodules

Ebtihal Y. Alyusuf,Ebtihal Y. Alyusuf1,2Lama AlhmayinLama Alhmayin3Eman AlbasriEman Albasri1Jawaher EnaniJawaher Enani3Hessa AltuwaijriHessa Altuwaijri3Nora AlsomaliNora Alsomali3Maria A. ArafahMaria A. Arafah4Zahra AlyusufZahra Alyusuf5Anwar A. JammahAnwar A. Jammah1Aishah A. Ekhzaimy*&#x;Aishah A. Ekhzaimy1*†Ali S. Alzahrani,*&#x;Ali S. Alzahrani6,7*†
  • 1Division of Endocrinology, Department of Internal Medicine, College of Medicine, King Saud University, King Saud University Medical City, Riyadh, Saudi Arabia
  • 2Division of Endocrinology, Department of Internal Medicine, Salmanyia Medical Complex, Government Hospitals, Manama, Bahrain
  • 3Department of Internal Medicine, College of Medicine, King Saud University, King Saud University Medical City, Riyadh, Saudi Arabia
  • 4Department of Pathology, College of Medicine, King Saud University, King Saud University Medical City, Riyadh, Saudi Arabia
  • 5Department of Radiology, Salmanyia Medical Complex, Government Hospitals, Manama, Bahrain
  • 6Division of Molecular Endocrinology, Department of Molecular Oncology, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
  • 7Department of Medicine, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia

Background: Bethesda III and IV thyroid nodules continue to be difficult to manage. Although molecular testing may assist in decision-making, it is expensive, not widely available, and not without pitfalls. The objective of this study is to assess whether certain thyroid ultrasonographic features may predict the risk of thyroid cancer in patients with Bethesda III and IV thyroid nodules and be used as additional decision-making tools to complement cytopathological results in deciding on diagnostic thyroidectomy.

Methods: We retrospectively evaluated the ultrasonographic features of Bethesda categories III and IV thyroid nodules in patients who underwent subsequent thyroidectomy. We used the final histopathological examination of the surgical specimens as the gold-standard test and analyzed individual preoperative ultrasonographic features as predictors of malignancy.

Results: Of the 278 patients who were diagnosed with Bethesda III and IV thyroid nodules on fine needle aspiration cytology (FNAC), 111 (39.9%) had thyroid cancer, and 167 (59.9%) exhibited benign nodules. The malignancy rate was higher in patients with Bethesda IV nodules (28/50, 56%) than those with Bethesda III nodules (83/228, 36.4%; p=0.016). In univariate analysis, hypoechogenicity (55.6% in malignant vs. 35.3% in benign, p=0.006) and calcifications (54.5 in malignant vs. 35.4% in benign, p=0.008) were significantly different between the benign and malignant pathology groups, whereas the size of the dominant nodule, number of nodules, irregular borders, taller-than-wide shape, and the presence of lymph nodes were comparable between the two groups. These two ultrasonographic features (hypoechogenicity and calcifications) remained significantly associated with the risk of malignancy in multivariate logistic regression analysis (for hypoechogenicity, p=0.014, odds ratio: 2.1, 95% CI:1.0–3.7 and for calcifications, p=0.019, odds ratio: 1.98, 95% CI:1.12–3.50). The sensitivity, specificity, positive and negative predictive values, and accuracy were 31.5%, 83%, 55.6%,64.7%, and 62.6%, for hypoechogenicity, respectively and 32.4%, 82%, 54.5%, 67.8%, and 62%, for calcification, respectively.

Conclusions: Hypoechogenicity and calcifications in Bethesda III and IV thyroid nodules are strong predictors of thyroid cancer and associated with a two-fold increased risk of malignancy.

Introduction

Thyroid nodules are quite common and can be ultrasonographically detected in 50–60% of healthy individuals (1). Although most thyroid nodules are asymptomatic, benign, and do not require surgical treatment, the main clinical challenge in their management is to rule out malignancy. Thyroid ultrasonography and fine-needle aspiration (FNA) biopsy are the primary diagnostic tools for thyroid nodules (2). The American Thyroid Association (ATA) thyroid nodule pattern recognition (2) and the American College of Radiology Thyroid Imaging Reporting and Data Systems (TIRAD) (3) are used to assess the risk of malignancy and the nodular size at which FNA is indicated, whereas the Bethesda classification of thyroid FNA cytology (FNAC) is used for diagnostic classification and therapeutic recommendations (4). The, 2015 ATA nodule pattern recognition classifies nodules into those of high suspicion, with features that include hypoechoic nodules, irregular margin, taller-than-wide shape, and microcalcifications (malignancy risk >70-90%); intermediate suspicion, with features that include soild hypoechogenic nodules but with regular margin (malignancy risk 10-20%); low suspicion nodules that include hyper- or isoechoic nodules and partially cystic nodules with eccentric solid components (malignancy risk 5-10%); very low suspicion nodules that include spongiform nodules and partially cystic nodules without suspicious features (malignancy risk <3%); and benign nodules that include pure cystic lesions (malignancy risk <1%) (2). The TIRAD system is a 5-feature scoring system. These features include composition, echogenicity, shape, margin, and echogenic foci. Each of these features have scores that vary between 0 and 3. The cumulative score of all features is calculated, yielding the final TIRAD score of TR1–TR5 with specific recommendations regarding the size at which FNAC is recommended or size that needs follow up only (3).

Although the management of Bethesda I (non-diagnostic), Bethesda II (benign), Bethesda V (suspicious for malignancy), and Bethesda VI (malignant) thyroid nodules is non-controversial, that of Bethesda III (atypia of undetermined significance/follicular lesion of undetermined significance [AUS/FLUS]) and Bethesda IV (follicular neoplasm/suspicious for a follicular neoplasm) thyroid nodules is more complex due to uncertainties about the risk of malignancy in individual patients (5, 6). Molecular testing improves the estimates of the risk of malignancy and helps in decision-making (7). However, these tests are not widely available, are expensive, and do not eliminate the risk of misdiagnosis. Although diagnostic surgery provides an accurate diagnosis, it is associated with surgical risks, frequently reveals benign pathologies, and may induce long-term hypothyroidism.

Therefore, less expensive and more practical tools are needed to help reduce the rate of unnecessary diagnostic thyroidectomy while decreasing the chance of missing a thyroid cancer diagnosis. The role of thyroid ultrasonography in the initial evaluation of thyroid nodules is well established and is usually performed prior to FNAC to assess the site and characteristics of thyroid nodules and determine whether FNA is needed. However, its role in assessing malignancy risk after FNA has not been well studied. Moreover, most studies included patients with papillary thyroid cancer (PTC), being the most common type of thyroid cancer. However, some studies have investigated the role of preoperative ultrasonographic features of thyroid nodules in estimating the risk of malignancy for other types of thyroid cancer including follicular thyroid neoplasms (811), and Medullary thyroid cancer (MTC) (1214). Although the ultrasonographic features of malignancy (hypoechogenicity, irregular margin, microcalcifications, Taller than wide and solid architecture) remain significant predictors of malignancy, their performance is less obvious in follicular tumors and MTC, tumors that frequently fall in Bethesda III and IV cytology.

In this study, we explored the ultrasonographic features that may predict the risk of malignancy in Bethesda III and Bethesda IV thyroid nodules.

Materials and methods

Study design and participants

We reviewed the data of all 787 patients with thyroid nodules who underwent FNAC followed by partial or total thyroidectomy at our center between January, 2015 and January, 2020. Participants with unavailable ultrasonography, FNAC, or surgical histopathological reports were excluded. Since Bethesda III and IV nodules carry a significant risk of malignancy4 and since molecular testing is not available in our country, most patients with these types of nodules were sent for diagnostic thyroidectomy unless they refuse or they have significant comorbidities that interfere with surgery. Of these 787 patients, 278 (35.3%) were diagnosed to have Bethesda III or IV thyroid nodules. We analyzed the ultrasonographic features of these thyroid nodules as predictors of malignancy in these two FNAC subgroups. This study was approved by the Institutional Review Board of King Saud University, Riyadh, Saudi Arabia (project ID: E-20-4643). Since the study was retrospective, the request for informed consent was waived.

Imaging of thyroid nodules

Imaging of thyroid nodules was performed using an ultrasound machine (EPIQ-7, Philips) with a probe frequency of 10–12 MHz. Only two experienced thyroid ultrasonographers (radiologists) reported the results of these images according to the, 2015 ATA management guidelines for pattern recognition (2). We extracted data from these reports including nodule composition (solid or cystic), echogenicity, margin regularity, presence of calcification, shape (taller-than-wide), and extrathyroidal extension.

FNAC of thyroid nodules

FNAC was performed for patients with nodule size > 1 cm. This was performed in the majority of patients (~70%) by two North-American trained interventional radiologists. Approximately 30% of the FNAC procedures were performed by two endocrinologists certified in thyroid ultrasonography. In this study, all FNAs were performed under ultrasound guidance. A 25-gauge needle, 1.5 inches in length, was connected to a 10cc syringe and used for each FNA pass. Three to six passes were performed for each targeted nodule, without suction. The obtained material was then placed onto two slides, each labeled with the patient’s name, medical file number, and side of the thyroid lobe. One slide was fixed in 95% ethanol for Papanicolaou staining, while the other was air-dried for Diff-Quick staining. The remaining material was rinsed in Cytolyt fixative material to prepare a cell block. Three alcohol-fixed and three air-dried slides, as well as the cell block container for each nodule were transferred to the pathology department within 1–2 hours of the procedure. FNAC was interpreted by one of four cyto-screeners (two were certified by the American Society of Clinical Pathology and the other two by the International Academy of Cytology) and then reviewed and signed by a board-certified cytopathologist. FNAC results were graded using the revised Bethesda system for cytopathology reporting,4 which includes six diagnostic categories: (i) non-diagnostic or unsatisfactory, (ii) benign, (iii) AUS/FLUS, (iv) follicular neoplasm or suspicious for a follicular neoplasm, (v) suspicious for malignancy, and (vi) malignant.

Assessment of ultrasonographic predictors of thyroid cancer

We reviewed the data of all the patients who underwent thyroidectomy between January, 2015 and January, 2020. We excluded patients with any FNA Bethesda class except classes III and IV. We reviewed the preoperative thyroid ultrasonographic reports and analyzed the preoperative ultrasonographic features to predict malignant histopathology and used the final histopathological examination of the surgical specimens as the gold-standard test for malignancy. Ultrasonographic features of thyroid nodules, including size in centimeters, multinodularity, echogenicity, margin, shape, and presence of calcifications or suspicious lymph nodes, were analyzed and compared between the benign and malignant histopathology groups. Demographic and clinical data, including age, sex, body mass index (BMI), and thyroid-stimulating hormone (TSH) levels, were collected from the electronic medical records and evaluated and compared between the two groups.

Accuracy of ultrasonographic features in diagnosing thyroid malignancy

The performance characteristics, namely, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy, of isolated sonographic features in differentiating malignant from benign thyroid nodules in Bethesda III and Bethesda IV nodules and the combination of both Bethesda III and Bethesda IV nodules were calculated. The final nodule status was determined based on surgical pathology results.

Statistical analyses

Categorical variables were summarized as frequencies and percentages. Normally distributed continuous variables are presented as mean and standard deviation (SD), whereas skewed continuous variables are presented as the median and interquartile range (IQR). Baseline characteristics were compared between the benign and malignant histopathology groups using the T-test for normally distributed continuous variables, Mann-Whitney U test for skewed continuous variables, and Chi-square and Fisher Exact tests for homogeneity for categorical variables. The rates of different ultrasonographic features of thyroid nodules were compared between the benign and malignant histopathology groups using the Chi-square and Fisher exact tests. Multivariate logistic regression analysis was used to assess the association between different ultrasonographic features of thyroid nodules and malignant histopathology. For all these tests, an alpha of 0.05 was set as the cut-off point of statistical significance. The sensitivity, specificity, PPV, NPV, and accuracy for identifying malignant thyroid nodules were calculated. Sensitivity was calculated as the number of true positives/(true positives + false negatives), specificity as the number of true negatives/(true negatives + false positives), PPV as the number of true positives/(true positives + false positives), NPV as the number of true negatives/(true negatives + false negatives), and accuracy as the proportion of true positives + true negatives. All analyses were performed using IBM SPSS version 26 (IBM Corp., Armonk, NY, USA).

Results

Baseline characteristics

A total of 787 individuals (132 males, 655 females, with a median age of 46 years and IQR = 37–55 years) underwent partial or total thyroidectomy for thyroid nodules between January, 2015 and January, 2020. All patients underwent diagnostic FNA of the thyroid nodules prior to thyroidectomy. The FNAC results were as follows: 9 (1.1%) Bethesda I, 323 (41%) Bethesda II, 228 (29%) Bethesda III, 50 (6.4%) Bethesda IV, 51 (6.5%) Bethesda V, and 126 (16%) Bethesda VI. Since Bethesda III and IV are the most perplexing clinical categories, we focused our analysis on these two subgroups to define factors associated with a higher risk of malignancy and are, therefore, more compelling for thyroidectomy.

Of the 278 patients with Bethesda classes III and IV, 232 (83.5%) were females and 46 (16.5%) were males with a median age of 45 years (IQR = 36–54 years), a median BMI of 30.1 kg/m2 (IQR = 26–34 kg/m2), and a median TSH level of 2.0 mU/L (IQR = 1.0–3.0 mU/L). The number of nodules per patient was as follows: a single nodule in 46 patients (16.5%), 2 nodules in 57 patients (20.5%), 3 nodules in 8 patients (2.9%), ≥ 4 nodules in 131 patients (47.1%), and an unclear number in 36 patients (13%). The median size of the dominant nodules was 3 cm (IQR = 2–4 cm). The other ultrasonographic features of the nodules were as follows: 133 nodules (47.8%) were solid, two nodules (0.7%) had irregular borders, 21 nodules (7.6%) were isoechoic, 63 nodules (22.7%) were hypoechoic, 66 nodules (23.7%) exhibited calcifications, and 17 patients (6.1%) exhibited the presence of suspicious lymph nodes (Table 1).

Table 1
www.frontiersin.org

Table 1 Baseline patient and thyroid nodule characteristics for Bethesda categories III and IV (n = 278)*.

Rate of thyroid cancer

Of the 278 patients with Bethesda III and IV nodules, 111 (39.9%) were confirmed as having thyroid cancer, whereas 167 (60.1%) had benign thyroid lesions based on the surgical histopathological examination. The rate of malignancy was significantly higher in Bethesda IV nodules (28/50, 56%) than in Bethesda III nodules (83/228, 36.4%) (p = 0.016). The frequency of thyroid cancer subtypes in Bethesda III and IV nodules are summarized in Table 2. The classic subtype of PTC is the most frequent malignant tumor among both groups (26.3% in Bethesda III and 26% in Bethesda IV).

Table 2
www.frontiersin.org

Table 2 Thyroid tumor subtypes on final histopathological examination of surgical samples in Bethesda III and IV thyroid nodules*.

Association between thyroid histopathology and various clinical and ultrasonographic characteristics of Bethesda categories III and IV thyroid nodules

Based on a univariate analysis, there was a significant difference in the rates of thyroid nodule hypoechogenicity (31.5% in malignant vs. 16.8% in benign pathology, p = 0.006) and calcifications (32.4% in malignant vs. 18% in benign pathology, p = 0.008) between the malignant and benign pathology groups. However, the size of the dominant nodule (median 3.0 cm, IQR 2.0-5.0) in malignant vs. (median 3.0 cm, IQR 2.0-5.0) in benign, (p = 0.52), the number of nodules (p = 0.65), the rate of irregular margins (0.9% in malignant vs. 0.6% in benign, p = 1, p = 1.0), the rate of taller-than-wide morphology (0% in malignant vs. 0% in benign, p = 1.0), and presence of suspicious lymph nodes (5.4% in malignant vs. 6.6% in benign, p = 0.88) were comparable between the malignant and benign nodules (Table 3). Moreover, patients with malignant and benign histopathology were comparable in terms of age (median 45 years, IQR 36-55) in malignant vs. (median 43 years, IQR 37-53) in benign, (p = 0.39), sex (female: 95 [85.6%] in malignant vs. 137 [82%] in benign, p = 0.53), BMI (median BMI, 30 kg/m2, IQR 26.4-34.1 in malignant vs. 29 kg/m2, IQR 25-34 in benign, p = 0.46), and TSH level (median TSH level, 2.0 mU/L, IQR 1.0-3.0 mU/L in malignant vs. 2.0 mU/L, IQR 1.0-3.0 mU/L in benign, p = 0.98).

Table 3
www.frontiersin.org

Table 3 Univariate analysis of the association of various clinical and ultrasonographic features of Bethesda III and IV thyroid nodules and the surgical histopathology (n = 278)*.

Multivariate logistic regression analysis results

Among all ultrasonographic features, hypoechogenicity (odds ratio [OR] = 2.1, 95% confidence interval [CI] = 1.2–3.7, p = 0.014) and calcifications (OR = 1.98, 95% CI = 1.12–3.50, p = 0.019) remained significantly associated with the risk of malignancy.

Accuracy of hypoechogenicity and calcifications in diagnosing thyroid malignancy

The diagnostic parameters for nodule hypoechogenicity and calcifications are summarized in Table 4. Since these ultrasonographic features are mainly concerned with the increasing risk of diagnosis of malignancy, PPVs of hypoechogenicity are 54.3, 58.8, and 55.6%, for Bethesda III, IV, or both, respectively, and the PPVs for calcification are 54.2, 57, and 54.5%, respectively, for Bethesda III, IV, or both. Other diagnostic parameters are summarized in Table 4.

Table 4
www.frontiersin.org

Table 4 Sensitivity, specificity, PPV, NPV, and overall accuracy of hypoechogenicity and calcifications in Bethesda III and/or IV thyroid nodules in diagnosing thyroid malignancy.

Discussion

This study showed that hypoechogenicity and calcifications in the ultrasonographic morphology of Bethesda III and IV thyroid nodules are independent predictors of malignancy. The presence of any of these two ultrasonographic features is associated with a two-fold increase in the risk of thyroid cancer in Bethesda categories III and IV thyroid nodules, a finding that could facilitate the therapeutic plan and justify thyroid surgery for a group of patients with thyroid nodules with these features. Although the sensitivities of hypoechogenicity and calcifications are low for the prediction of malignancy in Bethesda III and IV thyroid nodules, the specificities are quite high, a finding that indicates a better performance of these two features in confirming thyroid malignancy, whereas their absence in the ultrasonographic image does not rule out thyroid malignancy. The moderate levels of sensitivities for hypoechogenicity and calcification were not unexpected and could be explained by the low prevalence of these two ultrasonographic features. Although some studies have shown no association between ultrasonographic features and malignancy in indeterminate thyroid nodules (15, 16), our results are consistent with those reported by many other researchers (1721). In a meta-analysis performed to evaluate the diagnostic value of thyroid ultrasound for Bethesda III thyroid nodules, Gao et al. found that the presence of any of the suspicious ultrasonographic features (hypoechogenicity, calcifications, irregular margin, taller-than-wide shape, or increase in nodule size during follow-up) as indicators of malignancy was associated with a pooled sensitivity of 0.75 and specificity of 0.48, and the greater the number of suspicious features, the more likely it was a malignancy (17). In addition, our findings are in accordance with those of a study by Li et al., who found that hypoechogenicity and microcalcification, as well as irregular borders and a taller-than-wide shape increased the risk of thyroid cancer in Bethesda III and IV nodules with an odds ratio of 2.02 for hypoechogenicity and 3.21 for microcalcifications (18). However, Hacim et al. found in their observational study that hypoechogenicity, solitary nodules, and solid structures, but not calcifications, were associated with malignancy in Bethesda III, IV, and V thyroid nodules (19). A regional study by Alshahrani et al. reported that hypoechogenicity and microcalcification, in addition to irregular margins and multiple nodules, are highly suspicious features of malignancy in Bethesda III thyroid nodules (20). The vast majority of patients included in these studies were PTC. However, Several retrospective studies have reported the performance of ultrasonographic features of thyroid nodules in predicting malignancy in other subtypes of thyroid cancer. Gao L. et al. identified that penetrating vascularity can help to identify MTC among nodules with low to intermediate suspicion for malignancy (22). Kim S.H. et al. compared 21 MTC with 114 PTC and found that the US features of the two types of thyroid cancer are not that different except that ovoid to round shape was more prevalent in MTC than PTC (12). In another study to identify the ultrasonographic features that differentiate follicular carcinoma from adenoma, the authors reported that follicular carcinomas are characterized by heterogeneous echogenicity, speculated/ill-defined margin, and the presence of calcifications on ultrasound (10). Matrone A. et al. evaluated the ultrasonographic features of thyroid nodules in non-invasive follicular thyroid neoplasm with papillary-like nuclear features (NIFT-P), follicular variant of PTC (FV-PTC), FTC, or follicular adenoma (FA), and found that FV-PTC and FTC are more frequently associated with irregular margins, presence of calcifications, taller than wide shape, and absent halo compared with NIFT-P (8). Sgro’ D. et al. studied the correlation of the histopathological variants of thyroid cancer with the ultrasonographic features and cytology (14). They reported that the presence of microcalcifications, hypoechogenic patterns, and irregular margins, correlated with malignancy and are typical of classic variant PTC, whereas the association of hypoechogenic pattern, irregular margins, and no microcalcifications was more frequent in tall cell subtype PTC than in classic subtype PTC.

The treatment decision for indeterminate (Bethesda III and IV) thyroid nodules poses a great challenge for endocrinologists and endocrine surgeons (23) and the optimal management of this category of thyroid nodules remains unclear. Studies have shown a wide variation in malignancy rates, and the available diagnostic methods have limited ability to differentiate between malignant and benign lesions in these two Bethesda groups. The rates of malignancy in our results (36.4% in Bethesda III and 56% in Bethesda IV) were higher than those originally recommended by the Bethesda system (10–30% for Bethesda III and 25–40% for Bethesda IV) (4), but they concur with those reported by several subsequent international (10–50% in Bethesda III and 25–70% in Bethesda IV) (5, 6, 2426) and regional studies (14–46% in Bethesda III and 47% in Bethesda IV) (20, 27). The higher rate of malignant pathology in this group of indeterminate thyroid nodules compared to the original rates recommended in the Bethesda system (4) could be related to a more surgical approach in our patients, different population malignancy rates, or referral bias because our hospital is a tertiary care referral center.

Molecular testing is an emerging tool to stratify the malignancy risk in indeterminate thyroid nodules and helps clinicians avoid unnecessary thyroid surgeries by ruling out malignancy (28, 29); however, it is not available in our center or most centers in our region, as is the case in most countries. In a multicenter study that examined ultrasonographic and clinical features for their correlation with malignancy predicted by molecular testing, ultrasonographic features alone did not contribute to predicting cancer risk (30). However, combining molecular testing with sonographic risk stratification improves malignancy prediction (31). Although the cost-effectiveness of molecular testing in patients with indeterminate thyroid nodules has been reported (32), considering the high prevalence of thyroid nodules, including those with indeterminate cytology, the cost of molecular testing can be high, and this is one of the limitations of its use. Molecular testing is expensive and not widely available. Therefore, looking for cheaper, readily available, comparable, or better diagnostic methods for patients with indeterminate cytology is prudent, and our study suggests that the presence of hypoechogenicity and/or calcifications on ultrasonographic examination could improve diagnostic workup and decision-making. This may decrease the rate of unnecessary thyroidectomy but is more likely to increase the yield of diagnostic thyroidectomy when these ultrasonographic features are combined with cytology results.

Our study had some limitations and strengths. The limitations include the retrospective design and lack of randomization and blinding, which may have contributed to selection bias. However, the study’s retrospective nature is more representative of day-to-day practice and may decrease the reporting bias of ultrasonographic features. FNAC was interpreted by two North-American trained cytopathologists, but interobserver variability is a well-known phenomenon in thyroid cytopathology. Similarly, ultrasonographic findings were reported by two North-American-trained radiologists, but interobserver variability is another well-recognized phenomenon in thyroid ultrasonography. However, these limitations are not specific to our study and are inherent in essentially all studies of similar nature. In our practice, we follow the ATA size limit for FNAC (>1 cm). This is different from the size limits of the TIRAD system and we do not know if our study would show similar results if the TIRAD system was followed. Therefore, in practice that depends heavily on the TIRAD system for selection of patients for FNAC, results may vary. Another potential limitation is that patients who may have been selected for surgery were perceived to have higher risk of malignancy and this may potentially induce selection bias. However, our practice has been mostly to perform diagnostic thyroidectomy in the vast majority of patients with Bethesda III and IV because these categories carry a significant risk of malignancy amounting up to 30–40%, and because molecular testing is not available to help decrease the need for surgery. Exceptions to this approach are patient’s preference of not having surgery or the presence of comorbidities that may increase the risk of surgery. Therefore, this approach minimizes selection bias, although it may not totally eliminate it. In addition, the use of surgical histopathology as the gold-standard test for every case is a strength of our study. We believe that further exploration of ultrasonographic features as predictors of malignancy in thyroid nodules is warranted and may prove to be comparable but much cheaper and accessible than molecular testing.

In conclusion, this study showed that the presence of either hypoechogenicity or calcifications in the ultrasonographic features of thyroid nodules in the Bethesda categories III and IV is associated with a two-fold increased risk of malignancy and is a strong indication for thyroid surgery.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving humans were approved by Institutional Review Board of King Saud University, Riyadh, Saudi Arabia. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants’ legal guardians/next of kin in accordance with the national legislation and institutional requirements.

Author contributions

EYA: Data curation, Supervision, Writing – original draft, Writing – review & editing. LA: Data curation, Writing – original draft, Writing – review & editing. EA: Data curation, Writing – original draft, Writing – review & editing. JE: Data curation, Writing – original draft, Writing – review & editing. HA: Data curation, Writing – original draft, Writing – review & editing. NA: Data curation, Writing – original draft, Writing – review & editing. MA: Resources, Writing – review & editing. ZA: Data curation, Writing – review & editing. AJ: Conceptualization, Investigation, Methodology, Project administration, Resources, Supervision, Visualization, Writing – original draft, Writing – review & editing. AE: Conceptualization, Investigation, Methodology, Project administration, Resources, Supervision, Visualization, Writing – original draft, Writing – review & editing. AA: Investigation, Methodology, Project administration, Resources, Supervision, Visualization, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare no financial support was received for the research, authorship, and/or publication of this article.

Acknowledgments

We would like to thank Editage (www.editage.com) for the English language editing.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Gharib H, Papini E, Paschke R, Duick DS, Valcavi R, Hegedüs L, et al. American association of clinical endocrinologists, associazione medici endocrinologi, and EuropeanThyroid Association medical guidelines for clinical practice for the diagnosis and management of thyroid nodules. Endocr Pract (2010) 33(5 Suppl):51–6. doi: 10.4158/10024.GL

CrossRef Full Text | Google Scholar

2. Haugen BR, Alexander EK, Bible KC, Doherty GM, Mandel SJ, Nikiforov YE, 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):1–133. doi: 10.1089/thy.2015.0020

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Tessler FN, Middleton WD, Grant EG, Hoang JK, Berland LL, Teefey SA, 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(5):587–95. doi: 10.1016/j.jacr.2017.01.046

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Cibas ES, Ali SZ. The 2017 bethesda system for reporting thyroid cytopathology. Thyroid. (2017) 27(11):1341–6. doi: 10.1089/thy.2017.0500

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Yaprak Bayrak B, Eruyar AT. Malignancy rates for Bethesda III and IV thyroid nodules: A retrospective study of the correlation between fine-needle aspiration cytology and histopathology. BMC Endocr Disord (2020) 20(1):48. doi: 10.1186/s12902-020-0530-9

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Zahid A, Shafiq W, Nasir KS, Loya A, Abbas Raza S, Sohail S, et al. Malignancy rates in thyroid nodules classified as Bethesda categories III and IV; A subcontinent perspective. J Clin Transl Endocrinol (2021) 23:100250. doi: 10.1016/j.jcte.2021.100250

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Zhou B, Zhai YF, Zhang DY, Wang DQ, Wei L, Qin JW. The role of combined BRAF V600E gene detection in the diagnosis of thyroid nodule determined as Bethesda III by fine-needle aspiration. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi. (2020) 55(11):1057–62. doi: 10.3760/cma.j.cn115330-20200509-00390

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Matrone A, Gambale C, Pieroni E, De Napoli L, Torregrossa L, Materazzi G, et al. Ultrasound features and risk stratification system in NIFT-P and other follicular-patterned thyroid tumors. Eur J Endocrinol (2023) 189(2):175–82. doi: 10.1093/ejendo/lvad095

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Zhang JZ, Hu B. Sonographic features of thyroid follicular carcinoma in comparison with thyroid follicular adenoma. J Ultrasound Med (2014) 33(2):221–7. doi: 10.7863/ultra.33.2.221

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Ahn HS, Kim HS, Hong MJ. Ultrasonographic and cytologic assessments of follicular neoplasms of the thyroid: Predictive features differentiating follicular carcinoma from follicular adenoma. PloS One (2022) 17(7):e0271437. doi: 10.1371/journal.pone.0271437

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Lloret J, Ganado T, Subhi I, Familiar C, Moreno L, Suárez P, et al. An attempt to reduce unnecessary surgical procedures... Can ultrasound characteristics help in differentiating adenoma vs carcinoma in follicular thyroid neoplasms? Radiologia (Engl Ed). (2023) 65(1):22–31. doi: 10.1016/j.rxeng.2020.09.007

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Kim SH, Kim BS, Jung SL, Lee JW, Yang PS, Kang BJ, et al. Ultrasonographic findings of medullary thyroid carcinoma: A comparison with papillary thyroid carcinoma. Korean J Radiol (2009) 10(2):101–5. doi: 10.3348/kjr.2009.10.2.101

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Matrone A, Gambale C, Biagini M, Prete A, Vitti P, Elisei R. Ultrasound features and risk stratification systems to identify medullary thyroid carcinoma. Eur J Endocrinol (2021) 185(2):193–200. doi: 10.1530/EJE-21-0313

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Sgrò D, Brancatella A, Greco G, Torregrossa L, Piaggi P, Viola N, et al. Cytological and ultrasound features of thyroid nodules correlate with histotypes and variants of thyroid carcinoma. J Clin Endocrinol Metab (2023) 108(11):e1186–92. doi: 10.1210/clinem/dgad313

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Batawil N, Alkordy T. Ultrasonographic features associated with Malignancy in cytologically indeterminate thyroid nodules. Eur J Surg Oncol (2014) 40(2):182–6. doi: 10.1016/j.ejso.2013.11.015

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Khalushi RE, Jackson BS, Mokoena T. Correlation between thyroid ultrasound and histology in patients with indeterminate cytology results: a local experience. S Afr J Surg (2020) 58(3):133–7.

PubMed Abstract | Google Scholar

17. Gao LY, Wang Y, Jiang YX, Yang X, Liu RY, Xi XH, et al. Ultrasound is helpful to differentiate Bethesda class III thyroid nodules: A PRISMA-compliant systematic review and meta-analysis. Med (Baltimore). (2017) 96(16):e6564. doi: 10.1097/MD.0000000000006564

CrossRef Full Text | Google Scholar

18. Li F, Pan D, Wu Y, Peng J, Li Q, Gui X, et al. Ultrasound characteristics of thyroid nodules facilitate interpretation of the Malignant risk of Bethesda system III/IV thyroid nodules and inform therapeutic schedule. Diagn Cytopathol. (2019) 47(9):881–9. doi: 10.1002/dc.24248

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Hacim NA, Akbaş A, Ulgen Y, Aktokmakyan TV, Meric S, Tokocin M, et al. Impact of Ultrasonographic Features for Thyroid Malignancy in patients With Bethesda Categories III, IV, and V: A Retrospective Observational Study in a Tertiary Center. Cureus. (2021) 13(7):e16708. doi: 10.7759/cureus.16708

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Alshahrani AS, Alamri AS, Balkhoyor AH, Mahzari MM, Alshieban SS, Majed PM. The prediction of Malignancy risk in thyroid nodules classified as bethesda system category III (AUS/FLUS) and the role of ultrasound finding for prediction of Malignancy risk. Cureus. (2021) 13(9):e17924. doi: 10.7759/cureus.17924

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Yang GE, Na DG. Impact of the ultrasonography assessment method on the Malignancy risk and diagnostic performance of five risk stratification systems in thyroid nodules. Endocrine. (2022) 75(1):137–48. doi: 10.1007/s12020-021-02795-x

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Gao L, Ma L, Li X, Liu C, Li N, Lian X, et al. Using preoperative ultrasound vascularity characteristics to estimate medullary thyroid cancer. Cancer Imaging. (2023) 23(1):64. doi: 10.1186/s40644-023-00583-6

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Jammah AA. Practice of thyroid nodule management in the Gulf Cooperation Council countries. Saudi Med J (2021) 42(1):66–74. doi: 10.15537/smj.2021.1.25591

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Ho AS, Sarti EE, Jain KS, Wang H, Nixon IJ, Shaha AR, et al. Malignancy rate in thyroid nodules classified as Bethesda category III (AUS/FLUS). Thyroid. (2014) 24(5):832–9. doi: 10.1089/thy.2013.0317

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Chirayath SR, Pavithran PV, Abraham N, Nair V, Bhavani N, Kumar H, et al. Prospective study of bethesda categories III and IV thyroid nodules: Outcomes and predictive value of BRAFV600E mutation. Indian J Endocrinol Metab (2019) 23(3):278–81. doi: 10.4103/ijem.IJEM_635_18

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Maity P, Jha AK, Sengupta M, Basu K, Chatterjee U, Ghosh S. Thyroid bethesda atypia of undetermined significance or follicular lesion of undetermined significance (AUS/FLUS): A heterogenous group. J Cytol. (2019) 36(4):200–4. doi: 10.4103/JOC.JOC_160_18

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Al Dawish MA, Robert AA, Muna A, Eyad A, Al Ghamdi A, Al Hajeri K, et al. Bethesda System for Reporting Thyroid Cytopathology: A three-year study at a tertiary care referral center in Saudi Arabia. World J Clin Oncol (2017) 8(2):151–7. doi: 10.5306/wjco.v8.i2.151

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Ontario Health (Quality). Molecular testing for thyroid nodules of indeterminate cytology: A health technology assessment. Ont Health Technol Assess Ser (2022) 22(2):1–111.

Google Scholar

29. Livhits MJ, Zhu CY, Kuo EJ, Nguyen DT, Kim J, Tseng CH, et al. Effectiveness of molecular testing techniques for diagnosis of indeterminate thyroid nodules: A randomized clinical trial. JAMA Oncol (2021) 7(1):70–7. doi: 10.1001/jamaoncol.2020.5935

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Figge JJ, Gooding WE, Steward DL, Yip L, Sippel RS, Yang SP, et al. Do ultrasound patterns and clinical parameters inform the probability of thyroid cancer predicted by molecular testing in nodules with indeterminate cytology? Thyroid. (2021) 31(11):1673–82. doi: 10.1089/thy.2021.0119

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Marina M, Zatelli MC, Goldoni M, Del Rio P, Corcione L, Martorana D, et al. Combination of ultrasound and molecular testing in Malignancy risk estimate of Bethesda category IV thyroid nodules: results from a single-institution prospective study. J Endocrinol Invest. (2021) 44(12):2635–43. doi: 10.1007/s40618-021-01571-y

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Labourier E. Utility and cost-effectiveness of molecular testing in thyroid nodules with indeterminate cytology. Clin Endocrinol (Oxf). (2016) 85(4):624–31. doi: 10.1111/cen.13096

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: Bethesda III, Bethesda IV, predictors, thyroid cancer, ultrasonography

Citation: Alyusuf EY, Alhmayin L, Albasri E, Enani J, Altuwaijri H, Alsomali N, Arafah MA, Alyusuf Z, Jammah AA, Ekhzaimy AA and Alzahrani AS (2024) Ultrasonographic predictors of thyroid cancer in Bethesda III and IV thyroid nodules. Front. Endocrinol. 15:1326134. doi: 10.3389/fendo.2024.1326134

Received: 22 October 2023; Accepted: 23 January 2024;
Published: 09 February 2024.

Edited by:

Cristina Alina Silaghi, University of Medicine and Pharmacy Iuliu Hatieganu, Romania

Reviewed by:

Antonio Matrone, University of Pisa, Italy
Dorina Ylli, MedStar Health Research Institute (MHRI), United States

Copyright © 2024 Alyusuf, Alhmayin, Albasri, Enani, Altuwaijri, Alsomali, Arafah, Alyusuf, Jammah, Ekhzaimy and Alzahrani. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Ali S. Alzahrani, aliz@kfshrc.edu.sa; Aishah A. Ekhzaimy, Aishahekhzaimy@hotmail.com

ORCID: Aishah A. Ekhzaimy, orcid.org/0000-0002-8024-0631
Ali S. Alzahrani, orcid.org/0000-0003-4294-3624

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.