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. 2022 Nov 14;18(3):506–511. doi: 10.1016/j.jtumed.2022.10.009

The impact of thyroid imaging reporting and data system on the management of Bethesda III thyroid nodules

Saad M Alqahtani a,, Saif S Al-Sobhi b, Mohammed A Alturiqy c, Riyadh I Alsalloum d, Hindi N Al-Hindi e
PMCID: PMC9906009  PMID: 36818179

Abstract

Objectives

Atypia of undetermined significance (AUS) or follicular lesion of undetermined significance (FLUS) is a heterogeneous category of fine needle aspiration cytology (FNAC); the management of this condition remains controversial. The clinical significance of such patients relies on the exclusion of malignancy. In this study, we aimed to determine the validity of the American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) (2017) for predicting malignancy in this specific category of patients.

Methods

In this study, we analysed a cohort of patients from our previous retrospective study. This four-year retrospective cohort study included all cases undergoing surgery with a cytological diagnosis of AUS/FLUS. We enrolled 110 cases with documented final histopathological diagnoses and ultrasound examinations.

Results

The study included 83 females (75.5%) and 27 males (24.5%). The overall risk of malignancy (ROM) for AUS/FLUS thyroid nodules was 47.3%. The ROMs of TI-RADS 3 (TR3), TI-RADS 4 (TR4), and TI-RADS 5 (TR5) were 43.5%, 49.4% and 40%, respectively. There was no significant association between TI-RADS and final pathological analysis.

Conclusions

Repeated FNAC with initial AUS/FLUS nodules is crucial. Our findings showed that ACR TI-RADS did not contribute to the cancer risk stratification of AUS/FLUS nodules. A large prospective multi-institutional study is now required to determine the validity of ACR TI-RADS and whether other adjunct clinical, cytological, molecular, or biochemical tools could facilitate the management of patients with these heterogeneous nodules.

Keywords: American College of Radiology Thyroid Imaging Reporting and Data System, Atypia of undetermined significance/follicular lesion of undetermined significance, Bethesda III

Introduction

Thyroid nodules (TNs) are a prevalent problem that requires the exclusion of cancer. On ultrasound (US), the prevalence of TNs ranges from 20% to 76% with overall malignancy occurring in 5–15% of cases.1,2 Certain factors, including sex, age, a history of radiation exposure, a family history of thyroid cancer, and certain ultrasonographic characteristics, increase the risk of malignancy (ROM).3

Fine needle aspiration cytology (FNAC) is an essential step in the evaluation of TNs. According to the Bethesda System for reporting thyroid cytopathology, TNs are classified into six categories.4 Of categories, indeterminate nodules (atypia of undetermined significance [AUS] or follicular lesion of undetermined significance [FLUS]) and IV (follicular neoplasm [FN] or suspicious for a follicular neoplasm [SFN]) represent approximately 25% of all FNAC diagnoses.2

TNs with AUS/FLUS are a heterogeneous category with a ROM ranging from 5% to 15%4; however, there are variations among institutions with ROM ranging from 15.7% to 54.6%.5 These nodules have been studied from different aspects, including clinical and radiological features (such as the Thyroid Imaging Reporting and Data System [TI-RADS]), cytological subtypes, molecular testing and puncture feeling techniques.6, 7, 8, 9 The overall goal is to establish a diagnosis in order to manage malignant nodules and avoid unnecessary surgeries for cases involving asymptomatic benign lesions.10

Horvath et al. first established the TI-RADS in 2009. These authors identified ten ultrasonographic criteria and linked the ROM to these criteria.11 Soon after, Park et al. proposed another protocol in which 12 sonographic features were applied to stratify the ROM.12 Later, various systems with modified interpretations were implemented.13, 14, 15 The American College of Radiology TI-RADS (ACR TI-RADS) guidelines were established in 2017; this system aimed to unify reporting in the US and stratify the ROM.16 However, none of these systems can accurately distinguish between benign and malignant TNs, thus necessitating histopathological examination for a definitive diagnosis.3

Because of their heterogenecity, the clinical management of AUS/FLUS is still debatable. Nonetheless, repeat FNAC, molecular testing or lobectomy are suggested.17 Despite its utility for preoperative diagnosis, molecular testing may be impractical due to its high cost and inaccessibility in most centres.10 In this study, we aimed to apply the ACR TI-RADS (2017) on a patient cohort that we analysed in a previous study.6 To the best of our knowledge, this is the second study from KSA investigating the utility of ACR TI-RADS (2017) for cancer risk stratification in AUS/FLUS TNs.18 In the current study, we extended the findings of this earlier study by investigating the relationship between additional factors and ROM, such as nodule site and biopsy method.

Materials and Methods

This retrospective study was carried out in a single center.

We used the same dataset utilized by our research group in a previous study6 which included all primary TNs with a cytological diagnosis of AUS/FLUS that eventually underwent surgery. However, only patients with a complete set of final pathological diagnoses and US examinations were selected for this research.

The 2017 ACR TI-RADS score was calculated by an expert radiologist (MAA) who was blinded to the final histopathological diagnosis. The score was based on the sum of the following points: 0 points (TR1, benign), 2 points (TR2, not suspicious), 3 points (TR3, mildly suspicious), 4–6 points (TR4, moderately suspicious), and ≥7 points (TR5, highly suspicious). We also considered that point calculations can be influenced by the following factors: composition, margin, echogenicity, echogenic foci and shape.16

Statistical analysis

SPSS version 26.0 (IBM Corp., Armonk, NY, USA) was utilized for data analysis. Frequencies and percentages were used to describe categorical data. Medians and interquartile ranges were used to describe quantitative variables. Univariate comparisons were performed with the Chi-squared test while Fisher's exact test or the independent t-test was used for categorical and continuous variables, respectively. A P-value < 0.05 was considered statistically significant. Risk of malignancy (ROM) was calculated by dividing the number of malignant nodules by the total number of nodules tested in each group according to the following formula: (ROM = number of malignant outcomes/populations at risk × 100).

Results

A total of 110 patients met our inclusion criteria and were included in the final analysis. Patient age ranged from 15 to 71 with a mean of 41 ± 11.7 years. The vast majority of patients (n = 83, 75.5%) were female. The final histopathology was benign in 58 patients (52.7%) and malignant in 52 patients (47.3%). Papillary thyroid carcinoma (PTC) was the most common type of malignant thyroid cancer (42%). Follicular thyroid carcinoma (FTC) and lymphoma were found in 2.7% and 1.8% of patients, respectively.

The overall ROM in our study was 47.3%. The FNAC was repeated in 45 patients (40.9%). Twenty of these (44.4%) resulted in the same cytological diagnosis of AUS/FLUS. The ROM in repeated FNAC patients was 55.6%. Notably, there was a statistically significant relationship between repeated FNAC and the final pathology (p < 0.05).

Table 1 shows the patient demographics and US characteristics of Bethesda III TNs. In 102 (92.7%) patients, the composition was solid or almost completely solid. Hypoechoic TNs were recorded in 60 patients (54.5%), while the remaining TNs were hyper or isoechoic. Smooth margins were found in 64 patients (58.2%) while ill-defined margins were found in only 46 patients (42%). Almost 81% of the TNs had no echogenic foci; the remaining TNs had macrocalcifications.

Table 1.

Baseline features of Bethesda III thyroid nodules.

Variable Distribution
Gender (n = 110)
Male 27 (24.5%)
Female 83 (75.5%)
Age, years 41 ± 11.7
Final Pathology
Benign 58 (52.7%)
Malignant 52 (47.3%)
Biopsy Method (n = 109)
US-guided 71 (65.1%)
Palpation-guided (pathologist) 4 (3.7%)
OSI 34 (31.2%)
Composition
Cystic or completely cystic 8 (7.3%)
Solid or almost completely solid 102 (92.7%)
Echogenicity
Hypoechoic 60 (54.5%)
Hyperechoic or isoechoic 50 (45.5%)
Shape
Wider-than-tall 110 (100%)
Margin
Smooth 64 (58.2%)
Ill-defined 46 (41.8%)
Echogenic foci
Macrocalcifications 23 (20.9%)
None 87 (79.1%)

OSI, outside institution; US, ultrasound.

Table 2 shows the association between final pathology and various parameters. There was a significant relationship between sex and final pathology (p < 0.05). In contrast, no statistical significance was found between age, biopsy method, nodule site (right versus (vs.) left vs. isthmus), nodule size and the final pathology. Furthermore, there was no significant association between various US features or TI-RADS and the final pathology.

Table 2.

Association between different parameters and final pathology.

Variables Number of nodules Pathology
ROM Significance
P-value
Benign Malignant
Age 110 41 ± 11.4 40.7 ± 12.2 47.3 0.61
Gender 0.02
Male 27 9 (15.5%) 18 (34.6%) 66.6
Female 83 49 (84.5%) 34 (65.4%) 40.9
Biopsy Method 109 0.42
US-guided 71 41 (70.7%) 30 (58.8%) 42.2
Palpation-guided 4 2 (3.4%) 2 (3.9%) 50
OSI 34 15 (25.9%) 19 (37.3%) 55.8
Composition 0.17
Cystic or completely cystic 8 6 (10.4%) 2 (3.8%) 25
Solid or almost completely solid 102 52 (89.6%) 50 (96.2%) 49
Echogenicity 0.80
Hyperechoic or isoechoic 50 27 (46.6%) 23 (44.2%) 46
Hypoechoic 60 31 (53.4%) 29 (55.8%) 48.3
Shape 0.98
Wider-than-tall 110 58 (100%) 52 (100%) 47.3
Margin 0.77
Ill-defined 46 25 (43.1%) 21 (40.4%) 45.6
Smooth 64 33 (56.9%) 31 (59.6%) 48.4
Echogenic foci 0.59
Macrocalcifications 23 11 (19%) 12 (23.1%) 52
None 87 47 (81%) 40 (76.9%) 46
Site 0.79
Isthmus 3 1 (1.7%) 2 (3.8%) 66.6
Right side 60 32 (55.2%) 28 (53.8%) 46.7
Left side 47 25 (43.1%) 22 (42.4%) 46.8
Size 0.42
Large (>1 cm) 96 52 (89.7%) 44 (84.6%) 45.8
Small (<1 cm) 14 6 (10.3%) 8 (15.4%) 57.1
TI-RADS 0.64
TR1 1 1 0 0
TR2 0 0 0 0
TR3 23 13 10 43.5%
TR4 81 41 40 49.4%
TR5 5 3 2 40%

Statistically significant at P < 0.05.

Discussion

The optimal management of AUS/FLUS TNs remains a significant challenge. Therefore, different tools have been developed and used to study and evaluate AUS/FLUS TNs. These include clinical aspects, radiological features (TI-RADS), cytological subtypes, molecular testing, and puncture feeling techniques.6, 7, 8, 9 In this study, we explored the impact of ACR TI-RADS on cancer risk stratification in patients with AUS/FLUS TNs.

In our cohort, most patients were female (n = 83; 75.5%); this finding is consistent with a previous study.18 However, male patients had a higher ROM (66.6%, p = 0.02); this finding was different from other reports.18, 19, 20

Our data showed that the overall ROM was 47.3%; this was in accordance with previous studies.5 The ROM for repeated FNAC was 55.6%; this also concurred with previous reports.18,21 Table 3 shows a comparison between the ROM in AUS/FLUS nodules among different centers in KSA. Notably, there was a statistically significant association between the ROM and the repeated FNAC (p 0.007), thus indicating the importance of repeating FNAC to further classify AUS/FLUS nodules. This finding supports the previous findings of Valerio et al. and Bahaj et al.22,23

Table 3.

Comparison between the ROM in AUS/FLUS nodules among different centers in KSA.

Study Reference Year City Rate of AUS/FLUS Number of resected nodules Overall ROM ROM in Second FNAC
Al Dawish et al. 18 2020 Riyadh 9.6% 167 27.6% 34.4%
Alshahrani et al. 24 2021 Riyadh 187 46.5%
Alqahtani et al. 29 2022 Tabuk 6.4% 29 44.8%
Present Study 2022 Riyadh 13.7% 110 47.3% 55.6%

Our data found no significant association between the nodule site (right vs. left vs. isthmus) and the final pathology. This contradicts the findings of a retrospective study involving AUS/FULS nodules, which found a significant association between nodule site (right vs. left vs. bilateral) and the final pathology (p < 0.001).24 Moreover, our findings found no correlation between nodule size and final pathology; this concurred with previous studies.20,25

Certain radiological features were found to lead to a general increase in the ROM of TNs. These features included rim calcifications with small extrusive soft tissue components, microcalcifications, irregular margins, solid components, a hypoechoic nature, a shape that is taller rather it is wide, and evidence of extrathyroidal extension. The probability of such a risk is known to range from 70% to 90%.26 On the other hand, some authors believed that US features can be used to determine which AUS patients can undergo surgery.7 Furthermore, other researchers argued that US is a valuable tool for distinguishing benign from malignant AUS/FLUS TNs.10 Interestingly, it has been found that some US features are a valuable diagnostic tool for estimating the ROM in indeterminate TNs, particularly in light of recent changes in the cytopathologic diagnostic system.27 In contrast, our results demonstrated that US findings had little value in distinguishing benign from malignant TNs; this was consistent with previously published reports.25,28

It has been reported that combining ACR TI-RADS with K-RAS mutations can facilitate risk stratification of cytologically indeterminate TNs.2 Furthermore, some authors concluded that the ACR TI-RADS was beneficial for stratifying cancer risk in AUS/FLUS TNs.18 Moreover, other investigators have argued that the TI-RADS showed at least some correlation between malignant or benign cytological diagnoses.3 In contrast, other reports showed that ACR TI-RADS does not help in predicting the ROM in patients with Bethesda III nodules28,29; this concurs with our present findings.

The ROMs in this study were 43.5% (TR3), 49.4% (TR4), and 40% (TR5). Al Dawish et al. previously reported ROMS of 14.3% for TR2, 21.5% for TR3, 23.7% for TR4 and 55.2% for TR5.18 On the other hand, Wu et al. reported ROMs of 0% for TR2, 40% for TR3, 6.7% for TR4 and 52.9% for TR5; notably, these authors simultaneously studied Bethesda III and IV TNs.2 Furthermore, in a study involving indeterminate nodules, Barbosa et al. reported ROMs of 23.3% for TR3, 49.6% for TR4, and 92.9% for TR5.10

We believe that the current study has several strengths. First, this study is the second national study investigating the validity of ACR TIRADS (2017) in AUS/FLUS TNs. Second, unlike the previous study by Al Dawish et al.,18 we investigated other factors (such as nodule site and biopsy method) in relation to ROM. However, our study also has some limitations that need to be considered, such as its retrospective nature, small sample size and single-institution study design. Furthermore, we only included the resected nodules; hence, selection bias was unavoidable.

Conclusions

Analysis showed that US features and the ACR TI-RADS did not contribute to cancer risk stratification in AUS/FLUS nodules. Prospective multi-institutional research is now needed to determine the validity of the ACR TI-RADS and identify other clinical, cytological, molecular or biochemical tools that could aid in the management of these heterogeneous nodules.

Source of funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Conflict of interest

The author(s) have no conflict of interest to declare.

Ethical approval

The ethical approval was obtained for this study from the Office of Research Affairs at King Faisal Specialist Hospital & Research Centre, Riyadh, Saudi Arabia (RAC number 2225214) on 18 July 2022.

Consent

The consents of patients are not required.

Authors contributions

SMA and SSA conceived and designed the study and conducted the research. SMA organized the data. MAA and RIA contributed to the acquisition, review and interpretation of radiological images. SMA, SSA and HNH analysed and interpreted the data. SMA wrote the initial and final draft of the article and provided logistic support. All authors have critically reviewed and approved the final draft and are responsible for the content and similarity index of the manuscript.

Acknowledgments

We thank Dr. Areej A. Alfattani, MPH, CCRP (Department of Biostatistics, Epidemiology, and Scientific computing, King Faisal Specialist hospital and Research Centre, Riyadh, KSA) for her valuable contribution to data analysis.

Registration number in case of a clinical trial and where it is registered

Not applicable.

Guarantor

Saad M. Alqahtani.

Footnotes

The research work should be credited to Department of Surgery, King Faisal Specialist Hospital & Research Center, Riyadh, KSA.

Peer review under responsibility of Taibah University.

References

  • 1.Zhang J., Liu B.-J., Xu H.-X., Xu J.-M., Zhang Y.-F., Liu C., et al. Prospective validation of an ultrasound-based thyroid imaging reporting and data system (TI-RADS) on 3980 thyroid nodules. Int J Clin Exp Med. 2015;8(4):5911. [PMC free article] [PubMed] [Google Scholar]
  • 2.Wu H., Zhang B., Cai G., Li J., Gu X. American College of Radiology thyroid imaging report and data system combined with K-RAS mutation improves the management of cytologically indeterminate thyroid nodules. PLoS One. 2019;14(7) doi: 10.1371/journal.pone.0219383. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Modi L., Sun W., Shafizadeh N., Negron R., Yee-Chang M., Zhou F., et al. Does a higher American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) score forecast an increased risk of malignancy? A correlation study of ACR TI-RADS with FNA cytology in the evaluation of thyroid nodules. Canc Cytopathol. 2020;128(7):470–481. doi: 10.1002/cncy.22254. [DOI] [PubMed] [Google Scholar]
  • 4.Cibas E.S., Ali S.Z. The Bethesda system for reporting thyroid cytopathology. Thyroid. 2009;19(11):1159–1165. doi: 10.1089/thy.2009.0274. [DOI] [PubMed] [Google Scholar]
  • 5.Zahid A., Shafiq W., Nasir K.S., Loya A., Raza S.A., 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 doi: 10.1016/j.jcte.2021.100250. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Alqahtani S., Alsobhi S., Alsalloum R.I., Najjar S.N., Al-Hindi H.N. Surgical outcome of thyroid nodules with atypiaof undetermined significance and follicular lesion of undetermined significance in fine needle aspiration biopsy. World J Endocr Surg. 2017;9(3):100–103. [Google Scholar]
  • 7.Eisa N., Khan A., Akhter M., Fensterwald M., Saleem S., Fananapazir G., et al. Both ultrasound features and nuclear atypia are associated with malignancy in thyroid nodules with atypia of undetermined significance. Ann Surg Oncol. 2018;25(13):3913–3918. doi: 10.1245/s10434-018-6826-6. [DOI] [PubMed] [Google Scholar]
  • 8.Yoo W.S., Ahn H.Y., Ahn H.S., Chung Y.J., Kim H.S., Cho B.Y., et al. Malignancy rate of Bethesda category III thyroid nodules according to ultrasound risk stratification system and cytological subtype. Medicine. 2020;99(2) doi: 10.1097/MD.0000000000018780. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Li L., Chen X., Li P., Liu Y., Ma X., Ye Y.-Q. The value of ultrasound-guided fine-needle aspiration cytology combined with puncture feeling in the diagnosis of thyroid nodules. Acta Cytol. 2021;65(5):368–376. doi: 10.1159/000517168. [DOI] [PubMed] [Google Scholar]
  • 10.Barbosa T.L.M., Junior C.O.M., Graf H., Cavalvanti T., Trippia M.A., da Silveira Ugino R.T., et al. ACR TI-RADS and ATA US scores are helpful for the management of thyroid nodules with indeterminate cytology. BMC Endocr Disord. 2019;19(1):1–11. doi: 10.1186/s12902-019-0429-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Horvath E., Majlis S., Rossi R., Franco C., Niedmann J.P., Castro A., et al. An ultrasonogram reporting system for thyroid nodules stratifying cancer risk for clinical management. J Clin Endocrinol Metab. 2009;94(5):1748–1751. doi: 10.1210/jc.2008-1724. [DOI] [PubMed] [Google Scholar]
  • 12.Park J.-Y., Lee H.J., Jang H.W., Kim H.K., Yi J.H., Lee W., et al. A proposal for a thyroid imaging reporting and data system for ultrasound features of thyroid carcinoma. Thyroid. 2009;19(11):1257–1264. doi: 10.1089/thy.2008.0021. [DOI] [PubMed] [Google Scholar]
  • 13.Kwak J.Y., Han K.H., Yoon J.H., Moon H.J., Son E.J., Park S.H., et al. Thyroid imaging reporting and data system for US features of nodules: a step in establishing better stratification of cancer risk. Radiology. 2011;260(3):892–899. doi: 10.1148/radiol.11110206. [DOI] [PubMed] [Google Scholar]
  • 14.Russ G., Bigorgne C., Royer B., Rouxel A., Bienvenu-Perrard M. The thyroid imaging reporting and data system (TIRADS) for ultrasound of the thyroid. J Radiol. 2011;92(7–8):701–713. doi: 10.1016/j.jradio.2011.03.022. [DOI] [PubMed] [Google Scholar]
  • 15.Russ G., Royer B., Bigorgne C., Rouxel A., Bienvenu-Perrard M., Leenhardt L. Prospective evaluation of thyroid imaging reporting and data system on 4550 nodules with and without elastography. Eur J Endocrinol. 2013;168(5):649–655. doi: 10.1530/EJE-12-0936. [DOI] [PubMed] [Google Scholar]
  • 16.Tessler F.N., Middleton W.D., Grant E.G., Hoang J.K., Berland L.L., Teefey S.A., et al. ACR thyroid imaging, reporting and data system (TI-RADS): white paper of the ACR TI-RADS committee. JACR. 2017;14(5):587–595. doi: 10.1016/j.jacr.2017.01.046. [DOI] [PubMed] [Google Scholar]
  • 17.Cibas E.S., Ali S.Z. The 2017 Bethesda system for reporting thyroid cytopathology. Thyroid. 2017;27(11):1341–1346. doi: 10.1089/thy.2017.0500. [DOI] [PubMed] [Google Scholar]
  • 18.Al Dawish M., Alwin Robert A., Al Shehri K., Hawsawi S., Mujammami M., Al Basha I.A., et al. Risk stratification of thyroid nodules with Bethesda III category: the experience of a territorial healthcare hospital. Cureus. 2020;12(5) doi: 10.7759/cureus.8202. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Ho A.S., Sarti E.E., Jain K.S., Wang H., Nixon I.J., Shaha A.R., et al. Malignancy rate in thyroid nodules classified as Bethesda category III (AUS/FLUS) Thyroid. 2014;24(5):832–839. doi: 10.1089/thy.2013.0317. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Teixeira G.V., Chikota H., Teixeira T., Manfro G., Pai S.I., Tufano R.P. Incidence of malignancy in thyroid nodules determined to be follicular lesions of undetermined significance on fine-needle aspiration. World J Surg. 2012;36(1):69–74. doi: 10.1007/s00268-011-1336-8. [DOI] [PubMed] [Google Scholar]
  • 21.Jan I.-S., Lee Y.-T., Wang C.-M., Cheng T.-Y., Wang C.-Y., Chang T.-C., et al. The surgery and repeat aspiration outcomes of the atypia of undetermined significance/follicular lesion of undetermined significance category in the Bethesda System for Reporting Thyroid Cytopathology. Asian J Surg. 2019;42(1):144–147. doi: 10.1016/j.asjsur.2018.02.008. [DOI] [PubMed] [Google Scholar]
  • 22.Valerio E., Pastorello R.G., Calsavara V., Porfírio M.M., Engelman G.G., Francisco Dalcin J., et al. Should we wait 3 months for a repeat aspiration in non-diagnostic/indeterminate thyroid nodules? A cancer centre experience. Cytopathology. 2020;31(6):525–532. doi: 10.1111/cyt.12887. [DOI] [PubMed] [Google Scholar]
  • 23.Bahaj A.S., Alkaff H.H., Melebari B.N., Melebari A.N., Sayed S.I., Mujtaba S.S., et al. Role of fine-needle aspiration cytology in evaluating thyroid nodules: a retrospective study from a tertiary care center of Western region, Saudi Arabia. Saudi Med J. 2020;41(10):1098. doi: 10.15537/smj.2020.10.25417. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Alshahrani A.S., Alamri A.S., Balkhoyor A.H., Mahzari M.M., Alshieban S.S., Majed P.M. 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) doi: 10.7759/cureus.17924. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Park V.Y., Kim E.-K., Kwak J.Y., Yoon J.H., Moon H.J. Malignancy risk and characteristics of thyroid nodules with two consecutive results of atypia of undetermined significance or follicular lesion of undetermined significance on cytology. Eur Radiol. 2015;25(9):2601–2607. doi: 10.1007/s00330-015-3668-5. [DOI] [PubMed] [Google Scholar]
  • 26.Haugen B.R., Alexander E.K., Bible K.C., Doherty G.M., Mandel S.J., Nikiforov Y.E., 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. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Kang S., Kwon S.K., Choi H.S., Kim M.J., Park Y.J., Park D.J., et al. Comparison of Korean vs. American Thyroid Imaging Reporting and Data System in malignancy risk assessment of indeterminate thyroid nodules. Endocrinol Metab. 2021;36(5):1111. doi: 10.3803/EnM.2021.1208. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.De D., Dutta S., Tarafdar S., Kar S.S., Das U., Basu K., et al. Comparison between sonographic features and fine needle aspiration cytology with histopathology in the diagnosis of solitary thyroid nodule. Ind J Endocrinol Metab. 2020;24(4):349. doi: 10.4103/ijem.IJEM_349_20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Alqahtani S.M., Alanesi S.F., Mahmood W.S., Moustafa Y.M., Moharram L.M., Alharthi N.F., et al. Clinical and ultrasonographic features in cancer risk stratification of indeterminate thyroid nodules. Saudi Med J. 2022;43(5):473–478. doi: 10.15537/smj.2022.43.5.20220045. [DOI] [PMC free article] [PubMed] [Google Scholar]

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