Literature DB >> 36017303

Diagnostic Accuracy of Strain Ultrasound Elastography in Thyroid Lesions Compared to Fine-Needle Aspiration Cytology.

Aniqua Saleem1, Umme Kalsoom1, Sundas Yasin2, Misbah Durrani3, Saba Akram4, Riffat Mushtaq5.   

Abstract

Introduction Strain ultrasound-guided elastography (USE) could be used to differentiate malignant from benign thyroid lesions if its sensitivity and specificity are significantly high. Data on whether to rely on USE in differentiating thyroid nodules are unavailable, and fine-needle aspiration cytology (FNAC) remains the gold standard. However, FNAC carries a significant financial burden on hospitals and psychological stress on patients. Therefore, we conducted this study to determine the diagnostic accuracy of strain USE in thyroid lesions. Methodology We conducted a descriptive cross-sectional study at the Radiology Department, Benazir Bhutto Hospital, Rawalpindi, from December 6, 2020, to June 5, 2021. The study included adult patients aged between 20 to 70 years who were referred with thyroid nodules or lesions found clinically or on routine neck ultrasound. The study excluded patients who had previous history of surgery or previously diagnosed with malignant thyroid lesions and recurrent thyroid nodules. Strain USE was performed on thyroid nodules, and the degree of strain was color-coded on a scale from red (soft, greatest elasticity) to green (intermediate, average strain) to blue (hard, no elasticity/strain). Lesions were given an elasticity score on a five-point scale. The lesion was given a score of one if the entire lesion was uniformly shaded in green. A lesion with mosaic pattern of green and blue was scored as two. A score of three denoted a lesion with green periphery and blue center on strain elastography. A score of four indicated uniform blue in the entire lesion, with green in the lesion's periphery. The highest score of five was given if the lesion and its surroundings demonstrated blue color. Ultrasound-guided FNAC of the thyroid nodules was performed following USE. Data was analyzed using IBM Corp. Released 2011. IBM SPSS Statistics for Windows, Version 20.0. Armonk, NY: IBM Corp. Mean ± standard deviation for calculating quantitative variables. Frequencies and percentages were calculated for qualitative variables. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy of strain USE was calculated taking FNAC as gold standard. We also conducted a receiver operating characteristic curve analysis to quantify the diagnostic accuracy of strain USE in thyroid lesions. Results The study included 207 adult patients (117 women, 56.52%; 90 men, 43.48%). The study population's mean age was 50.0 ± 11.8 years (range, 20 to 70 years). Most patients (56.52%) were aged 46 to 70 years. FNAC confirmed malignant thyroid nodules in 100 cases (true positive), and nine cases (false positive) had no malignant lesions on FNAC. In USE-negative patients, 91 were true negative, while seven were false negative. Strain USE's overall sensitivity was 93.46%, specificity was 91.0%, PPV was 91.74%, NPV was 92.86%, and diagnostic accuracy was 92.27% compared to the gold standard FNAC. Conclusions Strain USE in thyroid lesions is a noninvasive modality of choice with high diagnostic accuracy and has dramatically improved our ability to diagnose malignant thyroid nodules preoperatively. Strain USE also helps the surgeons in proper decision-making. Strain USE should be used routinely in all patients with thyroid lesions to help diagnose malignant thyroid nodules preoperatively and inform proper surgical and treatment plans.
Copyright © 2022, Saleem et al.

Entities:  

Keywords:  fine needle aspiration; negative predictive value; positive predictive value; sensitivity; thyroid nodules; ultrasound elastography

Year:  2022        PMID: 36017303      PMCID: PMC9393333          DOI: 10.7759/cureus.27185

Source DB:  PubMed          Journal:  Cureus        ISSN: 2168-8184


Introduction

Thyroid nodules are very common, and their incidence is gradually increasing [1,2]. Most are benign; however, malignancy occurs in 5% to 15% of cases [1]. Thyroid nodules are usually discovered when patients present for physical examination after feeling an enlarged nodule in their neck or experiencing visible neck swelling. The clinician refers the patient for an ultrasound to look for thyroid lesions and characterize them according to the sonological criteria known as Thyroid Imaging Reporting and Data System (TIRADS). A benign nodular goiter is the most common pathology of the thyroid gland, and assessing and diagnosing malignancy in these goiters remains a challenge for radiologists. Elastography and two-dimensional sonography may help categorize individual thyroid nodules [3]. A thyroid hormonal profile, including thyroid-stimulating hormone, T3, and T4 levels, is also performed to categorize the nodules as functional or nonfunctional, which helps characterize nodules as benign or malignant. Similarly, serum calcitonin levels should also be measured to exclude medullary thyroid cancer [4]. The 2015 American Thyroid Association (ATA) guidelines state that the malignant risk of high-suspicion thyroid nodules is > 70% to 90% [5]. However, the ATA characteristics of high-suspicion thyroid nodules overlap with degrees 4a to 5 of Kwak's TIRADS, and the frequency of malignancy ranges from 3.3% to 87.5%. Therefore, using strain elastography to differentiate malignant from benign thyroid nodules of high suspicion could be fruitful [6]. A recent study by Okasha et al. recommended including strain elastography in TIRADS classification for discriminating benign from malignant nodules [7]. Furthermore, according to the sonographic picture, thyroid nodules that show low, intermediate, or high suspicion of malignancy and all nodules with suspicious clinical findings should undergo fine-needle aspiration cytology (FNAC) [4]. FNAC is considered the most valuable preoperative method for differentiating malignant from benign thyroid lesions. Previous studies also suggest that ultrasound is a practical, cheap, and widely used technique in differentiating benign from malignant, but ultrasound does not have high sensitivity, specificity, and accuracy in diagnosing malignant nodules. Also, FNAC could be nondiagnostic, requiring additional sessions [2,8]. Ultrasound-guided elastography (USE) is a noninvasive test used to assess a tissue's biomedical properties (e.g., elasticity) [1,8]. It is helpful in various diagnostic applications, including thyroid nodules. Different types of USE are available. Strain USE, also known as real-time elastography, is the most widely available type [1]. Its basic principle is that, upon compression, softer parts of tissue deform easier than harder ones. This degree of tissue distortion under external force can be recorded, and thus tissue stiffness/hardness can be measured [1,2]. Strain USE is a qualitative means of measuring tissue stiffness; however, semiquantitative analysis of tissue stiffness can be measured using strain ratio, where stiffness/strain of a target lesion is compared with a reference normal thyroid tissue using real-time elastography [1,9]. Benign tissue is softer, elastic, and more easily deformable than malignant tissue. USE helps in measuring tissue elasticity and therefore helps differentiate benign (soft) from malignant nodules (hard) [10]. FNAC is an excellent method for differentiating benign from malignant nodules, but it is minimally invasive, time-consuming, and expensive, with a risk of serious complications [2,10]. In contrast, USE is noninvasive, cheap, easy to use, less time-consuming than FNAC, and has no adverse effects [8]. We conducted this study to use strain USE as a diagnostic test in differentiating malignant from benign thyroid lesions, provided its sensitivity and specificity are significantly high. The diagnostic accuracy of USE for detecting thyroid lesions is controversial, and no recent study in our region has assessed the use of USE in differentiating thyroid nodules. This study assesses the diagnostic accuracy of USE in local settings, which could limit the use of FNAC, exerting a financial burden on hospitals and psychological stress on patients.

Materials and methods

Department of Diagnostic Radiology, Benazir Bhutto Hospital, Rawalpindi, was utilized to conduct this descriptive and cross-sectional research from December 6th, 2020, to June 5th, 2021. The sample size of 207 cases has been calculated with a 95% confidence level, 10% desired precision, and taking the expected prevalence of malignant thyroid nodules, i.e., 15% with sensitivity of 92% and specificity of 15% of strain ultrasound elastography in diagnosing malignant thyroid nodules [1]. Non-probability as well as consecutive sampling was done for patients (20-70 years age) referred with thyroid nodule/lesion, found clinically or on routine ultrasound neck examination. The exclusion criteria for this research included those patients who had a previous history of surgery or were previously diagnosed with malignant thyroid lesions, patients with recurrent thyroid nodules, and those patients who were not available for follow-up. Hospital ethical committee approval, as well as informed consent from the patient, was obtained. Strain ultrasound elastography was performed by a postgraduate resident under the supervision of a consultant radiologist. ESAOTE (Genoa, Italy) ultrasound machine, with elastography procedure capability, attached to a 5-13 MHz high-frequency linear transducer was used. Elastography was performed by at least two radiologists with little or no interobserver difference. USE was performed by gentle pressing up and down motion of the probe on the patient`s neck till optimal pressure is achieved, as shown by the pressure bar lateral to the elastogram. The degree of strain within the region of interest was given colors by using the scale from red (soft, greatest elasticity) to green (intermediate, average strain) to blue (hard, no elasticity/strain) [8]. The lesion was scored by Ueno and Itoh`s study [11,12]. Ultrasound-guided FNAC of thyroid nodule was performed on the same day. A consultant pathologist, who was kept blind to elastography results, evaluated cytopathology results. Data were analyzed in IBM Corp. Released 2011. IBM SPSS Statistics for Windows, Version 20.0. Armonk, NY: IBM Corp. The age of patients was taken as a quantitative variable and was measured as mean ± SD. Gender of the patient, duration of symptoms, family history, radiation exposure history, occupational history, elastography report, and FNAC reports were taken as qualitative variables and was measured as frequencies and percentages. 2 x 2 table was used to present data for calculation of sensitivity, specificity, PPV, NPV, and accuracy. Data was stratified for age, gender, duration of symptoms, family history, and radiation exposure history. Post-stratification 2 x 2 table was generated to calculate sensitivity, specificity, PPV, NPV, and accuracy. Receiver operating characteristic (ROC) curve analysis was used to quantify the diagnostic accuracy of strain ultrasound elastography in thyroid lesions.

Results

The study included 207 adult patients aged 20 to 70 (mean age, 50.0 ± 11.8 years). Most patients were aged 46 to 70 (n=117; 56.52%). One hundred seventeen participants were women (56.52%), and 90 were men (43.48%; female-to-male ratio: 1.3:1). The mean duration of the disease was 9.16 ± 3.87 months. Less than one-third (30.92%) of patients had a positive family history, while 20.29% had X-ray radiation exposure. All the patients were subjected to strain USE. USE supported the diagnosis of malignant thyroid nodules in 109 patients. FNAC confirmed malignant thyroid nodules in 100 cases (i.e., true positive), whereas nine had no malignant lesion on FNAC (i.e., false positive). In USE-negative patients, 91 were true negative, while seven were false negative (p<.0001; Table 1).
Table 1

Diagnostic accuracy of strain USE in thyroid lesions keeping FNAC as the gold standard

USE: Ultrasound elastography; FNAC: Fine-needle aspiration cytology; PPV: Positive predictive value; NPV: Negative predictive value.

ParameterPercent
Sensitivity93.46%
Specificity91.0%
PPV91.74%
NPV92.86%
Diagnostic Accuracy92.27%

Diagnostic accuracy of strain USE in thyroid lesions keeping FNAC as the gold standard

USE: Ultrasound elastography; FNAC: Fine-needle aspiration cytology; PPV: Positive predictive value; NPV: Negative predictive value. For strain USE in thyroid lesions, the overall sensitivity was 93.46%, specificity was 91.0%, PPV was 91.74%, NPV was 92.86%, and diagnostic accuracy was 92.27% against FNAC as the gold standard. The ROC curve is shown in Figure 1.
Figure 1

ROC curve

Table 2 and Table 3 present the stratification of diagnostic accuracy concerning age groups, and Table 4 and Table 5 present the stratification according to sex. Similarly, the stratification of diagnostic accuracy concerning disease duration is presented in Table 6 and Table 7, and positive family history is presented in Table 8 and Table 9. Finally, positive radiation exposure is given in Table 10 and Table 11.
Table 2

Stratification of USE diagnostic accuracy according to age

USE: Ultrasound elastography; PPV: Positive predictive value; NPV: Negative predictive value.

Age Group (Years)ParameterPercentP-Value
20 to 45 (n=90)Sensitivity95.74%0.001
Specificity93.02%
PPV93.75%
NPV95.24%
Diagnostic Accuracy94.44%
46 to 70 (n=117)Sensitivity91.67%0.001
Specificity89.47%
PPV90.16%
NPV91.07%
Diagnostic Accuracy91.60%
Table 3

Stratification of USE diagnostic accuracy by age compared to FNAC results

USE: Ultrasound elastography; FNAC: Fine-needle aspiration cytology; TP: True positive; FP: False positive; TN: True negative; FN: False negative.

Age Group (years)USEPositive on FNACNegative on FNACP-Value
20 to 45 (n=90)USE Positive Result45 (TP)03 (FP)0.001
USE Negative result02 (FN)40 (TN)
46 to 70 (n=117)USE Positive Result55 (TP)06 (FP)0.001
USE Negative result05 (FN)51 (TN)
Table 4

Stratification of USE diagnostic accuracy according to sex

USE: Ultrasound elastography; PPV: Positive predictive value; NPV: Negative predictive value.

SexParameterPercentP-value
Males (n=90)Sensitivity89.80%0.001
Specificity92.68%
PPV93.62%
NPV88.37%
Diagnostic Accuracy91.11%
Females (n=117)Sensitivity96.55%0.001
Specificity89.83%
PPV90.32%
NPV96.36%
Diagnostic Accuracy93.16%
Table 5

Stratification of USE diagnostic accuracy by sex compared to FNAC results

USE: Ultrasound elastography; FNAC: Fine-needle aspiration cytology; TP: True positive; FP: False positive; TN: True negative; FN: False negative.

SexUSEPositive on FNACNegative on FNACP-Value
Males (n=90)USE Positive Result44 (TP)03 (FP)0.001
USE Negative result05 (FN)38 (TN)
Females (n=117)USE Positive Result56 (TP)06 (FP)0.001
USE Negative result02 (FN)53 (TN)
Table 6

Stratification of USE diagnostic accuracy according to disease duration

USE: Ultrasound elastography; PPV: Positive predictive value; NPV: Negative predictive value.

Disease DurationParameterPercentP-value
≤ 9 months (n=138)Sensitivity91.67%0.001
Specificity90.91%
PPV91.67%
NPV90.91%
Diagnostic Accuracy91.30%
> 9 months (n=117)Sensitivity91.14%0.001
Specificity91.18%
PPV91.89%
NPV96.88%
Diagnostic Accuracy94.20%
Table 7

Stratification of USE diagnostic accuracy by disease duration compared to FNAC results

USE: Ultrasound elastography; FNAC: Fine-needle aspiration cytology; TP: True positive; FP: False positive; TN: True negative; FN: False negative.

Disease DurationUSEPositive on FNACNegative on FNACP-Value
≤ 9 months (n=138)USE Positive Result66 (TP)06 (FP)0.001
USE Negative result06 (FN)60 (TN)
Females (n=117)USE Positive Result34 (TP)03 (FP)0.001
USE Negative result01 (FN)31 (TN)
Table 8

Stratification of USE diagnostic accuracy according to family history

USE: Ultrasound elastography; PPV: Positive predictive value; NPV: Negative predictive value.

Family HistoryParameterPercentP-value
Positive (n=64)Sensitivity97.22%0.001
Specificity89.29%
PPV92.11%
NPV96.15%
Diagnostic Accuracy93.75%
Table 9

Stratification of USE diagnostic accuracy by family history compared to FNAC results

USE: Ultrasound elastography; FNAC: Fine-needle aspiration cytology; TP: True positive; FP: False positive; TN: True negative; FN: False negative.

Family HistoryUSEPositive on FNACNegative on FNACP-Value
Positive (n=64)USE Positive Result35 (TP)03 (FP)0.001
USE Negative result01 (FN)25 (TN)
Table 10

Stratification of USE diagnostic accuracy according to radiation exposure

USE: Ultrasound elastography; PPV: Positive predictive value; NPV: Negative predictive value.

Radiation ExposureParameterPercentP-value
Positive (n=42)Sensitivity95.83%0.001
Specificity88.89%
PPV92.00%
NPV94.12%
Diagnostic Accuracy92.86%
Table 11

Stratification of USE diagnostic accuracy by radiation exposure compared to FNAC results

USE: Ultrasound elastography; FNAC: Fine-needle aspiration cytology; TP: True positive; FP: False positive; TN: True negative; FN: False negative.

Radiation ExposureUSEPositive on FNACNegative on FNACP-Value
Positive (n=42)USE Positive Result23 (TP)02 (FP)0.001
USE Negative result01 (FN)16 (TN)

Stratification of USE diagnostic accuracy according to age

USE: Ultrasound elastography; PPV: Positive predictive value; NPV: Negative predictive value.

Stratification of USE diagnostic accuracy by age compared to FNAC results

USE: Ultrasound elastography; FNAC: Fine-needle aspiration cytology; TP: True positive; FP: False positive; TN: True negative; FN: False negative.

Stratification of USE diagnostic accuracy according to sex

USE: Ultrasound elastography; PPV: Positive predictive value; NPV: Negative predictive value.

Stratification of USE diagnostic accuracy by sex compared to FNAC results

USE: Ultrasound elastography; FNAC: Fine-needle aspiration cytology; TP: True positive; FP: False positive; TN: True negative; FN: False negative.

Stratification of USE diagnostic accuracy according to disease duration

USE: Ultrasound elastography; PPV: Positive predictive value; NPV: Negative predictive value.

Stratification of USE diagnostic accuracy by disease duration compared to FNAC results

USE: Ultrasound elastography; FNAC: Fine-needle aspiration cytology; TP: True positive; FP: False positive; TN: True negative; FN: False negative.

Stratification of USE diagnostic accuracy according to family history

USE: Ultrasound elastography; PPV: Positive predictive value; NPV: Negative predictive value.

Stratification of USE diagnostic accuracy by family history compared to FNAC results

USE: Ultrasound elastography; FNAC: Fine-needle aspiration cytology; TP: True positive; FP: False positive; TN: True negative; FN: False negative.

Stratification of USE diagnostic accuracy according to radiation exposure

USE: Ultrasound elastography; PPV: Positive predictive value; NPV: Negative predictive value.

Stratification of USE diagnostic accuracy by radiation exposure compared to FNAC results

USE: Ultrasound elastography; FNAC: Fine-needle aspiration cytology; TP: True positive; FP: False positive; TN: True negative; FN: False negative.

Discussion

Thyroid nodules are frequent, and sonography is an economical, widely available modality free from potential radiation hazards; sonography could be used for diagnosing thyroid nodules. Various sonographic features like shape (e.g., elliptical, taller-than-wide, irregular), margins (e.g., lobulated, spiculated, poorly marginated), and presence of calcification (e.g., noncalcified, microcalcification, macrocalcification, crystals) aid in categorizing the thyroid nodule as benign or malignant. Furthermore, a Doppler assessment contributes by indicating the presence of color flow within or at the lesion's periphery. The elastography component of ultrasound provides information on the stiffness of the lesion; the stiffer the tissue, the more likely it is malignant [12]. We conducted this study to determine the diagnostic accuracy of strain USE in thyroid lesions against the gold standard of FNAC. In Pakistan, the accuracy of FNAC approaches 95% in the best centers, with sensitivity ranging from 65% to 98% and specificity from 72% to 100% [13]. The overall sensitivity and specificity of strain USE in thyroid lesions against FNAC as the gold standard was 93.46% and 91.0%, respectively. This was higher than the results from Cabanillas et al., who reported strain USE sensitivity and specificity of 77% and 85%, respectively [4]. In 2015, Cantisani et al. conducted a meta-analysis of 10 studies which showed that the mean sensitivity of elastography was 92%, and the mean specificity was 90% in detecting malignancy within a thyroid nodule [1]. They reported that elastography in conjunction with ultrasound enhances accuracy for detecting thyroid malignancy, thus reducing the risk of diagnosing a large number of nodules via invasive FNAC. While FNAC is the gold standard, USE can help identify nodules that need FNAC, and it can be a follow-up procedure to confirm benign lesions on FNAC [1]. There are six Bethesda categories for thyroid fine needle aspirates; the first three of them, Bethesda I nondiagnostic, Bethesda II benign, and Bethesda III atypia of undetermined significance are somewhat non-conclusive. Here comes the role of USE which may help in reducing the number of unnecessary FNACs. A previous meta-analysis by Hairu et al. showed that the use of USE reduces the frequency of FNAC by 33%-77% [5]. Another meta-analysis conducted in 2013 by Razavi et al. compared 24 studies and concluded that the diagnostic performance of elastography was better than brightness-mode ultrasound [14]. All studies in the meta-analyses by Cantisani et al. and Razavi et al. showed similar results except for one study by Moon et al. They studied 703 nodules and calculated sensitivity to be 65% and specificity as 58% in detecting thyroid nodule malignancy by elastography [15]. This discrepancy in Moon et al.'s results was attributed to the difference in thyroid malignancy prevalence in the study population and because Moon et al. excluded complex lesions and lesions with macrocalcifications, altering the results [1,14,15]. Cantisani et al. also studied different scoring and color-coding systems, concluding that the elastography color scoring used by Itoh et al. for breast elastography was also feasible for grading thyroid lesions [1,11]. In 2014, Ghajarzadeh et al. conducted a meta-analysis of 12 studies exploring the threshold for elasticity scores. They concluded that the score threshold for characterizing a nodule as malignant is two to three, with a combined sensitivity of 92% and a specificity of 90% [16]. Abdelrahman et al. studied 73 indeterminate thyroid nodules and found that 16 nodules were malignant and 57 were benign. On USE, all 57 nodules diagnosed as benign had a score of one to three, while 15 of 16 (93.75%) diagnosed as carcinoma had scores of four to five, with 93.3% sensitivity, 100% specificity, and 97.8% accuracy [17]. USE revealed that hypoechogenicity scores of four to five were most predictive of malignancy with a sensitivity of 80%, specificity of 100%, and accuracy of 93.4%. The strain ratio cutoff value for malignant nodules was determined as 2.3 [17]. Five nodules of 16 had SR between 2.31 and four (sensitivity was 96% and specificity was 83%) [17]. Asteria et al. reported that elasticity scores of four to five were highly predictive of malignancy, with a sensitivity of 90.63%, a specificity of 89.47%, and an accuracy of 90.20%. They reported that the sensitivity, specificity, PPV, and NPV of USE for thyroid cancer diagnoses were 94.1%, 81%, 55.2%, and 98.2%, respectively, while the accuracy was 83.7% [18]. Elawa et al. demonstrated that malignant nodules had a statistically significantly higher degree of color and strain ratio than benign nodules (p<0.05). Nodules with an elastography score of two were benign, while those with elastography scores of four and five were mostly malignant. The best strain ratio cutoff value to differentiate benign from malignant nodules was 2.90, with 86.4% sensitivity, 90.3% specificity, PPV of approximately 61.3%, NPV of approximately 97.4%, and accuracy of approximately 89.7% [19]. Kagoya et al. concluded that a strain ratio or strain index value greater than 1.5 is a predictor of thyroid malignancy and exhibits 90% sensitivity and 50% specificity, which is in concordance with our results as we found a strain index higher than 1.6 was an independent predictor of thyroid malignancy, with sensitivity and specificity of 89% and 70%, respectively [20]. Sun et al. studied 5481 nodules in 4468 patients for elasticity scores and 1063 nodules in 983 patients for strain ratios. The overall mean sensitivity and specificity of USE for differentiating thyroid nodules were 0.79 (95% confidence interval [CI], 0.77-0.81) and 0.77 (95% CI, 0.76-0.79) for the elasticity score assessment and 0.85 (95% CI, 0.81-0.89) and 0.80 (95% CI, 0.77-0.83) for the strain ratio assessment. The areas under the curve for the elasticity score and strain ratio were 0.8941 and 0.9285, respectively [21]. Overall, our results are supported by previous studies in the literature. Strain USE is the noninvasive modality of choice with high diagnostic accuracy in diagnosing malignant thyroid nodules and has dramatically improved our ability to diagnose malignant thyroid nodules preoperatively and helps surgeons make proper decisions. Our study had several limitations. We did not combine and correlate our study with gray scale ultrasound features and with TIRADS classification. A recent study suggests that combining TIRADS, strain elastography results, and apparent diffusion coefficient (ADC) values of thyroid nodules may produce promising noninvasive results [22]. The combination of American College of Radiology-TIRADS, USE, and ADC value from magnetic resonance imaging may add valuable data and increase the sensitivity [22]. Secondly, lesion depth and thyroid parenchymal density could affect lesion elasticity, and these parameters should have been studied concurrently to avoid bias. Furthermore, carotid artery pulsations could create variable tissue deformations, and we should have studied the effect of nodule distance from the carotid artery. Finally, the histological features of fibrosis in thyroiditis or within calcified cysts and nodules within a multinodular goiter could alter the elastography results; this relationship should be further explored.

Conclusions

Strain USE in thyroid lesions is the noninvasive modality of choice with high diagnostic accuracy. We suggest that thyroid lesions should be routinely assessed in a similar way to triple assessment in breast lesions, that is clinical assessment, radiological imaging, and pathological assessment. In thyroid imaging, USE should be used in conjunction with gray scale USG. We suggest that nodules with TIRADS score up to 2 and USE score of 1 and 2 should only be followed up clinically and by gray scale USG in combination with USE; however, a thyroid nodule with USE score of 3 and above should proceed for pathological examination. However, we do not recommend following up on a thyroid nodule with USE if there is clinical suspicion of thyroiditis or patients who had a previous history of FNAC or thyroid surgery. Strain USE has dramatically improved our ability to diagnose malignant thyroid nodules preoperatively and helps surgeons make proper decisions. Therefore, strain USE should be conducted routinely in all thyroid lesion patients for accurate diagnosis of malignant thyroid nodules preoperatively and to inform proper surgical and treatment planning.
  18 in total

1.  Utility of elastography for differential diagnosis of benign and malignant thyroid nodules.

Authors:  Ryoji Kagoya; Hiroko Monobe; Hitoshi Tojima
Journal:  Otolaryngol Head Neck Surg       Date:  2010-08       Impact factor: 3.497

2.  US-elastography in the differential diagnosis of benign and malignant thyroid nodules.

Authors:  Carmela Asteria; Alessandra Giovanardi; Alessandro Pizzocaro; Luca Cozzaglio; Alberto Morabito; Francesco Somalvico; Adele Zoppo
Journal:  Thyroid       Date:  2008-05       Impact factor: 6.568

Review 3.  Diagnostic accuracy of sonoelastography in detecting malignant thyroid nodules: a systematic review and meta-analysis.

Authors:  Mahsa Ghajarzadeh; Faezeh Sodagari; Madjid Shakiba
Journal:  AJR Am J Roentgenol       Date:  2014-04       Impact factor: 3.959

4.  Diagnostic performance of gray-scale US and elastography in solid thyroid nodules.

Authors:  Hee Jung Moon; Ji Min Sung; Eun-Kyung Kim; Jung Hyun Yoon; Ji Hyun Youk; Jin Young Kwak
Journal:  Radiology       Date:  2012-03       Impact factor: 11.105

5.  Breast disease: clinical application of US elastography for diagnosis.

Authors:  Ako Itoh; Ei Ueno; Eriko Tohno; Hiroshi Kamma; Hideto Takahashi; Tsuyoshi Shiina; Makoto Yamakawa; Takeshi Matsumura
Journal:  Radiology       Date:  2006-02-16       Impact factor: 11.105

Review 6.  Strain US Elastography for the Characterization of Thyroid Nodules: Advantages and Limitation.

Authors:  Vito Cantisani; Hektor Grazhdani; Elena Drakonaki; Vito D'Andrea; Mattia Di Segni; Erton Kaleshi; Fabrizio Calliada; Carlo Catalano; Adriano Redler; Luca Brunese; Francesco Maria Drudi; Angela Fumarola; Giovanni Carbotta; Fabrizio Frattaroli; Nicola Di Leo; Mauro Ciccariello; Marcello Caratozzolo; Ferdinando D'Ambrosio
Journal:  Int J Endocrinol       Date:  2015-04-14       Impact factor: 3.257

7.  Qualitative ultrasound elastography assessment of benign thyroid nodules: Patterns and intra-observer acquisition variability.

Authors:  Alexis Lacout; Carole Chevenet; Juliette Thariat; Andrea Figl; Pierre-Yves Marcy
Journal:  Indian J Radiol Imaging       Date:  2013-10

Review 8.  Sonographic Elastography of the Thyroid Gland.

Authors:  Mehmet Sait Menzilcioglu; Mahmut Duymus; Serhat Avcu
Journal:  Pol J Radiol       Date:  2016-04-08

9.  Elastography in Distinguishing Benign from Malignant Thyroid Nodules.

Authors:  Bulent Colakoglu; Duzgun Yildirim; Deniz Alis; Gokhan Ucar; Cesur Samanci; Fethi Emre Ustabasioglu; Alev Bakir; Onur Levent Ulusoy
Journal:  J Clin Imaging Sci       Date:  2016-12-29

Review 10.  Ultrasound elastography for thyroid nodules: recent advances.

Authors:  Jin Young Kwak; Eun-Kyung Kim
Journal:  Ultrasonography       Date:  2014-02-26
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