Abstract
Purpose
To compare shear wave elastography (SWE) and Afirma™ gene expression classifier (GEC) for diagnosis of malignancy in thyroid nodules (TNs) with Bethesda Classification (BC) III or IV indeterminate cytology.
Methods
This preliminary single-center prospective study was approved by the Institutional Review Board. We evaluated 151 consented patients with 151 indeterminate TNs (123 BC III, 28 BC IV) on fine-needle aspiration biopsy (FNAB). B-mode ultrasound, vascularity, and SWE were performed prior to FNAB. TN stiffness was measured as shear wave velocity (SWV) in meters per second (m/s). The stiffest area of the TN was selected for SWV measurement. GEC testing was performed with a second FNAB. Surgery was recommended for GEC-suspicious TNs, or GEC-benign TNs with two or more worrisome B-mode US features.
Results
Surgical pathology confirmed 31 malignant TNs. Among the GEC-suspicious group, 28 of 59 TNs were malignant. The SWV value of ≥3.59 m/s was the best cut-off for malignancy risk based on the receiver operating curve (ROC). Twenty-six malignant TNs had SWV ≥ 3.59 m/s. The sensitivity and specificity for SWV ≥ 3.59 m/s were 83.9 and 79.2%, respectively. Positive predictive value (PPV) was 51.0% and negative predictive value (NPV) was 95.0%. For the GEC-suspicious group, sensitivity, specificity, PPV, and NPV were 90.3, 74.2, 47.5, and 96.7%, respectively. In multivariate analysis, SWV and GEC-suspicious were significant predictors of malignancy, but B-mode features and vascularity were not.
Conclusion
This preliminary study indicates that SWE and GEC are independent predictors of malignancy in TNs with BC III or IV.
Keywords: Shear wave elastography, Ultrasound, Thyroid nodule, Indeterminate FNAB, GEC testing
Introduction
Management of thyroid nodules (TNs) with indeterminate fine-needle aspiration biopsy (FNAB) has been a major challenge for thyroid experts. The Bethesda System for the Reporting of Thyroid Cytopathology renders standardized reporting criteria for TN FNAB cytopathology. Bethesda categories (BC) include: I (non-diagnostic or unsatisfactory), II (benign), III (atypia of undetermined significance or follicular lesion of undetermined significance), IV (follicular neoplasm or suspicious for follicular neoplasm), V (suspicious for malignancy) or VI (malignant) [1]. Indeterminate cytology categories include BC III and BC IV.
Approximately 15–30% of TN aspirations are interpreted as indeterminate, but the majority has benign surgical pathology. Among these patients, the risk for serious surgical complications ranges between 2–10% [2].
Prior to molecular testing, surgical resection was recommended for TNs with two indeterminate FNAB [1]. The risk stratification process has become more refined since molecular testing was introduced.
The use of molecular markers in indeterminate thyroid FNAB specimens improves diagnostic accuracy and subsequently influences the decision to perform surgery as well as the extent of the procedure. It is important to note that the long-term outcome data on the true value of this modality to guide therapeutic decision-making is lacking [3].
In the setting of indeterminate FNAB, some molecular tests have a high positive predictive value (PPV) in predicting malignancy [4], while others have a high negative predictive value (NPV) capable of predicting benign histology [2]. The combination of high NPV and sensitivity can be helpful to avoid surgery.
Several studies that used the Gene Expression Classifier (GEC) methodology for indeterminate TNs ≥ 10 mm reported a risk for thyroid cancer (TC) ranging from 13–47% [2, 5–7]. Practical limitations of molecular testing include cost and invasive nature of performing FNAB to obtain tissue samples for GEC or other molecular testing.
Elastography is a recent and non-invasive technology used to differentiate benign TNs from TC through tissue stiffness measurement [8]. Several recent publications report shear wave elastography (SWE) as an independent predictor of TC [9–12].
Virtual touch imaging quantification (VTIQ) is a 2D-SWE technology generated by acoustic radiation force impulse. VTIQ is capable of creating shear wave image and subsequent tissue quantification in one display. This allows for identification of regions for measurement of tissue stiffness [13]. The diagnostic performance of SWE in indeterminate TNs has not been evaluated in comparison to the GEC standard. We previously reported that TN stiffness measured by VTIQ-generated SWE is an independent predictor of TC when TNs with all Bethesda classifications were included. Based on the ROC curve, a single cut-off at 3.54 m/s has a sensitivity, specificity, PPV, and NPV of 79.27, 71.52, 26.75, and 96.34%, respectively [11]. Other predictors for TC were micro-calcifications and irregular margins.
The goal of this study was to prospectively compare the performance of SWE with GEC in TNs with indeterminate FNAB. Other B-mode ultrasound (US) characteristics and Color Doppler (CD) vascularity patterns were also examined and included in TC risk stratification.
Materials and methods
Study design
This single-center prospective study was approved by the Institutional Review Board. Patients were evaluated between April 2014 and October 2016. All participants gave written informed consent in this Health Insurance Portability and Accountability Act compliant study. All patients were examined clinically and with US prior to FNAB by a single practitioner with more than 15 years of experience in thyroid and neck US and 12 months experience using SWE.
Study population and protocol
We prospectively evaluated 1520 patients with 1674 TNs from April 2014 to October 2016. All TNs were evaluated with a high-resolution US and FNAB. A total of 221 TN had BC III or IV; of those 160 had GEC testing. Fifty nine individuals with 61 TNs did not have GEC testing for a variety of reasons, including lack of insurance coverage for GEC testing or deciding for or against surgery without additional testing. This manuscript presents the data on TNs with GEC testing only.
Inclusion criteria included (a) age of 18 years and older; (b) TNs ≥ 10 mm or ≥5 mm with at least one suspicious US feature; (c) patients with indeterminate FNAB results (BC III or IV) and subsequent second FNAB with GEC methodology, and (d) surgical resection for those with GEC-suspicious results or GEC-benign and two or more suspicious B-mode US findings (irregular margins, microcalcification, central vascularity, tall shape, and hypoechoic pattern). All surgical candidates had cervical neck mapping and FNAB of lymph nodes, if indicated, prior to surgery. Nine patients were excluded because (a) they refused surgery after GEC-suspicious results (n = 5); (b) GEC testing was non-diagnostic (n = 2); initially four patients had non-diagnostic GEC testing, of these, two had successful second GEC and two refused repeat testing and were excluded; (c) when second FNAB yielded BC V or VI results, GEC was not performed (n = 2). Surgical pathology results were used as the reference standard for the classification of benign or malignant TN pathology.
Conventional US examination and biochemical testing
Prior to FNAB, B-mode characteristics were examined with 18L6 High Definition probe. The initial US exam included B-mode information related to thyroid gland and TNs: homogenous versus heterogeneous gland, size of TN, sub-capsular location, isthmus location, macrocalcifications, microcalcifications, isoechoic, hypoechoic, hyperechoic, tall, solid, or complex TN. CD vascularity patterns of TNs were divided into four groups: no blood flow, peripheral blood flow only, peripheral and central blood flow and final group with primarily central blood flow. Sub-capsular location was assigned to lesions <2 mm from the thyroid capsule.
Serum TSH, thyroid peroxidase antibody (TPO Ab), thyroglobulin antibody (TgAb), thyroglobulin, and calcitonin were measured before FNAB as well. All measurements were performed by LabCorp (Research Triangle Park, NC).
Shear wave elastography
SWE was the last part of the US exam prior to FNAB. For this study a Siemens Acuson S3000 US system was used. SWE was performed using VTIQ. During the elastography exam, patients were asked not to swallow or breathe for a few seconds. A qualitative elastography image was created first. Subsequently, SWV of the stiffest area within the TN was measured in meters per second (m/s) twice using a small region of interest (ROI) box measuring 1.5 mm in diameter (ROI box size with VTIQ is predetermined and cannot be changed). The highest velocity of Read 1 and Read 2 was reported as the maximum SWV, and the average of both reads was defined as mean velocity. SWV of the thyroid tissue surrounding the TN (tissue velocity) was measured once. SWV measurement can be converted from m/s to kilopascals (kPa) using the following formula: kPa (Young’s Modulus) = 3pc2, where c is shear wave speed in m/s and p is tissue density (a constant = 1000 kg/m3) [14]. For example, a SWV of 4 m/s is 48 kPa.
In addition to the main clinician of this study, three sonographers with 24, 7, and 14 years of experience, respectively, reviewed the SWE and B-mode features, including calcifications and irregular margins. They were blinded to the GEC result and surgical pathology outcomes. There was 100% agreement among all three reviewers for SWE image and SWV measurements. Among B-mode features, there was 96.9% agreement yielding a high inter-rater reliability, measured by Brennan and Prediger’s Kappa due to the skewed distribution of the ratings, of 93.8 [15].
FNAB procedure, cytopathology, and GEC
FNAB was performed with US guidance to confirm accurate needle placement. For FNAB, 2–3 passes were made. Approximately six weeks after the first FNAB, a second FNAB was performed with two additional passes to obtain material for GEC analysis. Cytopathology was performed by Thyroid Cytopathology Partners (Austin, TX), who are associated with Veracyte. Afirma™ GEC testing was performed by Veracyte (South San Francisco, CA). Patients were enrolled only when GEC testing and repeat cytology with second FNAB was performed. 151 TNs met all inclusion criteria. 123 TNs were BC III, and 28 TN were BC IV.
Statistical analysis
All statistical analyses were conducted using Stata 14.1 (StataCorp LP, College Station, TX, USA), and used a statistical significance level of 0.05 and two-sided hypothesis tests. Continuous variables were summarized using means and S.D., while categorical variables were summarized using frequencies and percentages. Bivariate associations with malignant pathology were assessed using Fisher’s exact tests for categorical variables and Wilcoxon rank-sum tests for continuous variables. Multivariate logistic regression was used to determine the influence of the maximum SWV and GEC on malignant pathology while controlling for all variables with a p-value of <0.1 in the bivariate analyses.
Results
Demographics
Figure 1 summarizes our study data. One hundred fifty one TNs in 151 mostly female patients (89.4%) met all inclusion criteria. Mean age was 51.4 years (S.D. 15.77) (Table 1). Neither age nor gender was a statistically significant predictor of TC.
Table 1.
Full study population | Benign pathologya | Malignant pathology | p-value | |
---|---|---|---|---|
(n = 151) | (n = 120) | (n = 31) | ||
N (%) or mean (S.D.) | ||||
Female | 135 (89.4%) | 107 (79.3%) | 28 (20.7%) | 1.000 |
Age (years) | 51.4 (15.77) | 52.3 (16.00) | 47.7 (14.49) | 0.125 |
Bethesda classificationb | ||||
III | 123 (81.5%) | 101 (82.1%) | 22 (17.9%) | 0.119 |
IV | 28 (18.5%) | 19 (67.9%) | 9 (32.1%) | |
Heterogeneous gland | 108 (71.5%) | 83 (76.8%) | 25 (23.2%) | 0.267 |
Isthmus location | 11 (7.3%) | 7 (63.6%) | 4 (36.4%) | 0.238 |
Sub-capsular location | 113 (74.8%) | 88 (77.9%) | 25 (22.1%) | 0.491 |
Irregular margins | 46 (30.5%) | 33 (71.7%) | 13 (28.3%) | 0.130 |
Maximum nodule size (mm) | 16.5 (11.96) | 17.3 (12.39) | 13.4 (9.63) | 0.034 |
Single nodule gland | 33 (21.9%) | 22 (66.7%) | 11 (33.3%) | 0.051 |
MNG gland | 118 (78.1%) | 98 (83.0%) | 20 (17.0%) | |
Complex | 17 (11.3%) | 16 (94.1%) | 1 (5.9%) | 0.198 |
Solid | 134 (88.7%) | 104 (77.6%) | 30 (22.4%) | |
No calcifications | 103 (68.2%) | 88 (85.4%) | 15 (14.6%) | 0.007 |
Microcalcifications | 31 (20.5%) | 23 (74.2%) | 8 (25.8%) | |
Macrocalcifications | 8 (5.3%) | 3 (37.5%) | 5 (62.5%) | |
Microcalcifications and macrocalcifications | 9 (6.0%) | 6 (66.7%) | 3 (33.3%) | |
Tall | 7 (4.6%) | 6 (85.7%) | 1 (14.3%) | 1.000 |
Hypoechoic | 50 (33.1%) | 37 (74.0%) | 13 (26.0%) | 0.552 |
Isoechoic | 99 (65.6%) | 81 (81.8%) | 18 (18.2%) | |
Vascularity (Color Doppler) | 0.349 | |||
No flow | 41 (27.1%) | 32 (78.1%) | 9 (21.9%) | |
Peripheral flow only | 51 (33.8%) | 37 (72.5%) | 14 (27.5%) | |
Peripheral > central flow | 46 (30.5%) | 40 (87.0%) | 6 (13.0%) | |
Central > peripheral flow | 13 (8.6%) | 11 (84.6%) | 2 (15.4%) | |
Elevated TPO Ab | 56 (37.1%) | 47 (83.9%) | 9 (16.1%) | 0.404 |
Elevated Tg Ab | 45 (29.8%) | 36 (80.0%) | 9 (20.0%) | 1.000 |
Elevated thyroglobulin | 55 (36.4%) | 43 (78.2%) | 12 (21.8%) | 0.835 |
Elevated calcitonin | 3 (2.0%) | 3 (100.0%) | 0 (0.0%) | 1.000 |
TSH | 2.8 (5.74) | 2.6 (4.11) | 3.6 (9.87) | 0.279 |
GEC-benign | 92 (60.9%) | 89 (96.7%) | 3 (3.3%) | <0.001 |
GEC-suspicious | 59 (39.1%) | 31 (52.5%) | 28 (47.5%) |
aThis group includes all benign surgical results, as well as GEC-benign results without surgery. It presumes no additional false-negatives
bBC III: atypia or follicular lesion of undetermined significance and BC IV: follicular neoplasm or suspicious for follicular neoplasm
Surgery
A total of 76 patients had thyroid surgery, including all 59 GEC-suspicious patients and all 17 with GEC-benign but two or more worrisome US features or worrisome TN size (>4 cm). There were 31 malignant TNs confirmed in 31 patients; ten were papillary thyroid cancer (PTC), 17 were follicular variant of PTC (FVPTC), and four were follicular carcinoma. One patient had metastatic tumor to lymph nodes. Among all surgical cases, 15 follicular adenomas (FAs) were detected, with eight in the GEC-suspicious group.
Figure 2 demonstrates B-mode, vascularity and elastography images of a TN with low SWV. FNAB pathology indicated BC III and GEC-suspicious results; final surgical pathology showed a FA.
B-mode and Doppler analysis
B-mode US showed an average nodule size of 16.5 mm (S.D 11.96) (Table 1). Nodule size was, on average, significantly larger among benign pathologies with a mean of 17.3 mm (S.D. 12.39) than among malignant pathologies with a mean of 13.4 mm (S.D. 9.63) (p = 0.034). The presence of macrocalcifications was significantly higher in malignant TNs with 62.5% compared to 37.5% in benign TNs (p = 0.007). None of the other TN characteristics, however, showed a significant bivariate association with TC. Nodular blood flow on CD imaging was also not significantly different between the two groups.
Serum analysis
None of the biochemical variables, including serum TSH, TPOAb, TgAb, thyroglobulin, and calcitonin, were significantly associated with TC (Table 1).
GEC findings
GEC-benign results were found in 60.9% of TN. Among patients with GEC-suspicious results, 47.5% were found to be TC, and among those with GEC-benign, 3.3% were found to be TC (p < 0.001) (Table 1). The sensitivity and specificity of GEC as a predictor of TC were 90.3% and 74.2%, respectively, with a PPV of 47.5% and NPV of 96.7%, and a positive likelihood ratio (LR+) of 3.50 and a negative likelihood ratio (LR−) of 0.13 (Table 2). For nodules with both GEC-suspicious and a maximum SWV of ≥3.59 m/s as a predictor of TC (compared to either a GEC-benign, a maximum SWV of <3.59 m/s, or both) sensitivity was 77.4%, specificity was 91.7%, PPV was 70.6% and NPV was 94.0%, a LR+ was 9.29, and a LR− was 0.25. Figure 3 shows a TN with high SWV. FNAB pathology showed BC III and GEC-suspicious results. Surgical pathology was suggestive of un-encapsulated FVPTC.
Table 2.
Velocity max | Sensitivity (95% confidence interval) | Specificity (95% confidence interval) | Positive predictive value (95% confidence interval) | Negative predictive value (95% confidence interval) | Positive likelihood ratio | Negative likelihood ratio |
---|---|---|---|---|---|---|
≥3.59 (reference: <3.59) | 26/31 = 83.9% (66.3–94.6%) | 95/120 = 79.2% (70.8–86.0%) | 26/51 = 51.0% (41.5–60.4%) | 95/100 = 95.0% (89.5–97.7%) | 4.03 | 0.20 |
≥4.0 (reference: <4.0) | 16/31 = 51.6% (33.1–69.9%) | 100/120 = 83.3% (75.4–89.5%) | 16/36 = 44.4% (32.1–57.5%) | 100/115 = 87.0% (82.1–90.6%) | 3.10 | 0.58 |
≥4.5 (reference: <4.5) | 8/31 = 25.8% (11.9–44.6%) | 112/120 = 93.3% (87.3–97.1%) | 8/16 = 50.0% (29.0–71.0%) | 112/135 = 83.0% (79.7–85.8%) | 3.87 | 0.79 |
GEC-suspicious | 28/31 = 90.3% (74.3–98.0%) | 89/120 = 74.2% (65.4–81.7%) | 28/59 = 47.5% (39.5–55.5%) | 89/92 = 96.7% (91.0–98.9%) | 3.50 | 0.13 |
≥3.59 and GEC-suspicious (reference: either <3.59 or GEC-benign, or both) | 24/31 = 77.4% (58.9–90.4%) | 110/120 = 91.7% (85.2–95.9%) | 24/34 = 70.6% (56.3–81.7%) | 110/117 = 94.0% (89.1–96.8%) | 9.29 | 0.25 |
SWE findings
SWV of the stiffest part of the nodule was measured twice and the readings were not significantly different from each other (p = 0.734, not in Table). Both the mean as well as the maximum of these two readings were significant predictors of TC (p < 0.001) (Table 3). The average maximum SWV in the benign group was 3.3 m/s (S.D. 0.96) compared to 4.3 m/s (S.D. 1.13) for the malignant group. The receiver operating curve (ROC) was used to determine the best single cut-off for maximum SWV to predict TN malignancy (Fig. 4). The area under the curve for this model is 0.8060 (95% CI: 0.72–0.89). A cut-off point of ≥3.59 m/s (38.66 kPa using Young’s Modulus conversion formula) had a sensitivity of 83.9%, a specificity of 79.2%, a PPV of 51.0% and a NPV of 95.0%, a LR+ of 4.03, and a LR− of 0.20 (Table 2). Table 2 also shows sensitivity, specificity, PPV and NPV, LR+ and LR− for other cut-off values. Our findings indicate that the higher the SWV, the greater the specificity, but lower the sensitivity.
Table 3.
Full study population | Benign pathologya | Malignant pathology | p-value | |
---|---|---|---|---|
(n = 151) | (n = 120) | (n = 31) | ||
Mean (S.D.) | ||||
TN Velocity Read 1 | 3.4 (1.07) | 3.2 (0.97) | 4.2 (1.10) | <0.001 |
TN Velocity Read 2 | 3.3 (1.06) | 3.1 (0.95) | 4.1 (1.10) | <0.001 |
Maximum of Read 1 and Read 2 | 3.5 (1.07) | 3.3 (0.96) | 4.3 (1.13) | <0.001 |
Mean of Read 1 and Read 2 | 3.4 (1.06) | 3.1 (0.95) | 4.2 (1.08) | <0.001 |
Velocity tissue surrounding TN | 2.8 (0.38) | 2.8 (0.37) | 2.9 (0.37) | 0.192 |
aThis group includes all benign surgical results, as well as GEC-benign results without surgery. It presumes no additional false-negatives
Multivariate analysis
Among 59 GEC suspicious TNs, 28 were malignant. The median SWV for malignant TN in GEC-suspicious was 4.01 m/s (mean 4.31 m/s). For GEC suspicious TNs without TC on surgical pathology, the median SWV was 3.02 m/s (mean 3.54 m/s). This SWV is similar to that of the GEC-benign group.
All independent variables with a p-value < 0.1 in the bivariate analyses were included in a multivariate logistic regression model. In this context, calcifications, maximum nodule size and being a single nodule gland were not significant predictors of TC (Table 4). GEC-suspicious results and SWV of ≥3.59 m/s remained strong independent statistically significant predictors of TC (p < 0.001) with odds-ratios of 16.03 and 17.91, respectively.
Table 4.
Variable | Odds ratio | 95% Lower confidence interval | 95% Upper confidence interval | p-value |
---|---|---|---|---|
Maximum SWV ≥ 3.59 (reference: <3.59) | 17.91 | 4.47 | 71.74 | <0.001 |
GEC-suspicious (reference: GEC-benign) | 16.03 | 3.80 | 67.56 | <0.001 |
Microcalcifications | 0.70 | 0.17 | 2.80 | 0.613 |
Macrocalcifications | 4.52 | 0.25 | 80.24 | 0.304 |
Microcalcifications & macrocalcifications | 0.11 | 0.00 | 3.73 | 0.223 |
(reference: none) | ||||
Single nodule gland | 3.26 | 0.87 | 12.24 | 0.080 |
(reference: MNG gland) | ||||
Maximum nodule size (mm) | 0.96 | 0.91 | 1.01 | 0.127 |
In an additional analysis, when we combined GEC-suspicious results with a SWV ≥ 3.59 m/s, we had a higher specificity and PPV than either criterion alone (Table 4). On the other hand, when a SWV cutoff of 2.9 m/s was used, among 51 TNs, 37 were GEC-benign and 13 were GEC-suspicious. We found only one TC.
Table 5 demonstrates an analysis of concordance between GEC and SWE groups with the purpose of better understanding our data.
Table 5.
GEC result | ||||
---|---|---|---|---|
GEC-benigna | GEC-suspicious | |||
Shear wave velocity | No cancer | Cancer | No cancer | Cancer |
(n = 89) | (n = 3) | (n = 31) | (n = 28) | |
<2.9 m/s | 39 | 0 | 12 | 1 |
2.91–3.58 m/s | 34 | 1 | 9 | 3 |
3.59–4.5 m/s | 11 | 2 | 7 | 16 |
>4.5 m/s | 5 | 0 | 3 | 8 |
aThis group includes all benign surgical results, as well as GEC-benign results without surgery. It presumes no additional false-negatives
Discussion
This single-center study prospectively determined SWV in TNs with indeterminate cytology (BC III or IV) plus a GEC analysis. SWV has a similar sensitivity, specificity, PPV, and NPV to that of GEC. High SWV (≥3.59 m/s) is a risk factor for TC. Our result for indeterminate TN with low SWV (<2.9 m/s) was also promising. Of 51 TNs (33.7%) with SWV of <2.9 m/s, only 1 TN was malignant. In this group, 39 were GEC-benign and 12 GEC-suspicious. SWV of ≥3.59 m/s and GEC-suspicious results are independent predictors of malignancy.
This may be particularly useful in subgroups of BC III and IV cytopathology. The first group is GEC-benign plus low SWV (2.9 m/s) that has a very low risk of TC. The second group is considered as high risk for TC (GEC-suspicious plus SWV ≥ 3.59). Combining both methodologies may serve us in new ways. While GEC testing can improve pre-operative risk stratification for TC, it cannot help with nodule selection. SWE may become a tool to assess TC risk prior to FNAB. It might not only improve nodule selection for FNAB, but also enhance the GEC interpretation. Adding SWV as an independent risk factor for TC can potentially increase the number of surgical procedures among GEC-benign nodules. It is important to mention that we do not suggest that surgery should be recommended solely based on high SWV (≥3.59 m/s). Future single and multi-center studies are needed to validate our results.
There are several differences in study design between this study and other studies using GEC methodology [2, 6, 7, 16–21]. In this study, all patients had SWE exam prior to FNAB. We included TN < 10 mm with at least one worrisome US feature. Furthermore, all patients in the GEC-suspicious group had a final surgical pathology diagnosis.
The frequency of final pathology diagnoses in this study was different than in other studies. In this study, the majority of TCs were determined to be FVPTC (55%). In most studies, all Bethesda classifications are included and the majority of TCs are PTC [16, 22–24]. TNs with indeterminate FNAB appear to have a different US profile when compared to TNs read as suspicious or diagnostic for TC (BC V and BC VI) on FNAB because the majority of the latter group are PTC [23–26]. In our current study, only one patient had metastatic lymph nodes. This is a lower prevalence of metastatic lymph nodes when compared to other publications [3, 27–31]. FVPTC may have a lower metastatic potential than PTC as reported in several other publications, including recent ATA guidelines [3, 27–31].
Shear wave velocity (SWV) performance
A ROC analysis determined a single cut-off of SWV ≥ 3.59 m/s as the best predictor of TC with a sensitivity of 83.9%, a specificity of 79.2%, a PPV of 51.0%, and a NPV of 95.0%. This result is similar to our previous study with 707 TNs including all Bethesda categories [11].
We analyzed two additional cut-off values for SWV measurement (>4 m/s and >4.5 m/s). As anticipated, these had slightly higher specificity, but lower sensitivity (Table 2).
Among five malignant TNs with SWV < 3.59 m/s, three were <10 mm (2 FVPTC and 1 PTC). In this group, four were GEC-suspicious and one was GEC-benign.
We compared SWV with other B-mode US characteristics. By multivariate analysis B-mode US features were not predictors for malignancy in these indeterminate TNs. This confirms Samir’s findings [32]. This finding is contrary to our previous two elastography studies [11, 33]. Both studies reported that microcalcifications and irregular margins were independent risk factors for TC when all Bethesda categories were included. Excluding TNs with BC V and BC VI cytology on FNAB might be the main reason for this finding. The other reason is the smaller sample size of the current study.
Comparison with other shear wave studies/technologies
Two studies with SuperSonic US system have evaluated the performance of SWE in nodules with indeterminate FNAB have yielded conflicting results.
Samir et al. demonstrates the potential benefit of SWV in TNs with atypical FNAB (BC III or BC IV) in a pilot study of 35 patients [32]. ROC determined a cut off value of 22.3 kPa, with sensitivity, specificity, PPV, and NPV were 82, 88, 75, and 91% respectively. His relatively low SWV is possible due to measurement of the entire TN versus a smaller area with highest SWV. In contrast, Bardet et al. examined BC III, BC IV, plus BC V TNs with SWE [34]. Of 131 patients enrolled, 21 (16%) had TC. The mean and maximum elastography measurements for benign and malignant nodules were similar. However, among malignant TNs, classic PTC had a higher SWV compared with other TC. In addition to using a different device, our procedure was different. Bardet et al. positioned the ROI box within the nodule in the area identified with elastography color map as most homogenous. In our study, we measured the stiffest area or highest SWV seen on color map.
Measurement of a larger area within a TN can decrease the overall SWV. For example, when using a larger ROI box 6 × 5 mm with Virtual Touch Quantification, the measured SWV is lower than when smaller ROI box of 1.5 × 1.5 mm of VTIQ is used [10, 11].
GEC performance
Among 59 GEC-suspicious TNs, we found that 28 were malignant (47.5%). Our malignancy rate is similar to that of Alexander et al. [2, 17], Harrison et al. [21], and Yang et al. [18]. Our study confirmed that GEC has a relatively high NPV (96.7%), and suggests that there was no inherent selection bias in our study as compared to other studies in the literature.
In the GEC-benign group there were three malignant TNs, of those, two TNs had SWV ≥ 3.59 m/s. Two were FTC and one had PTC. The median SWV for the GEC-benign group was 3.00 m/s (mean 3.17 m/s). Among these patients, 17 had surgery with three malignancies. It is possible that additional nodules in this group may be malignant since not all TNs were resected. For example, eight TNs are being monitored despite SWV ≥3.59 m/s. This potential limitation of our study is a function of current clinical practice recommendations.
The malignancy rate for TNs < 10 mm was higher (26%) than TNs ≥ 10 mm (17.5%). A probable explanation is because smaller TNs (<10 mm) were selected for FNAB only when there was at least one worrisome US feature. There was no statistical difference in SWV between malignant TNs in both groups.
GEC testing for TNs ≥ 10 mm has been validated to describe the risk of thyroid malignancy in many studies [2, 6, 7, 16, 17, 19, 21]. Our analysis demonstrated that TN size did not affect GEC performance. This observation was reported by Wu et al. [20] as well.
Autoimmune thyroid disease and TN with indeterminate FNAB
Some large studies demonstrated an association between differentiated TC and autoimmune thyroid disease and/or TSH when all Bethesda classifications were included [23–26]. There are at least three possible reasons that these relationships were not observed in this study. This relatively small study may have been underpowered to identify these associations. These associations may not occur in BC III and IV nodules. Alternatively, the final pathologies of this study were largely FVPTC and follicular carcinoma (69.2%), with only 30.7% being PTC. PTC may be more associated with autoimmune thyroid disease or abnormal TSH [22, 35].
Follicular adenoma
Among the 15 FAs, eight were GEC-suspicious and nine had SWV ≥ 3.5 m/s. Based on our data, GEC and SWV have similar low specificity in distinguishing between FA and TC among TNs with indeterminate FNAB. However, this does not exclude the possibility of high sensitivity for TC. False positive GEC-suspicious results for FAs have been observed by others [2]. One possible reason for this, hypothesized by Nikiforov et al. is that FA may progress to follicular carcinoma [36].
Limitations
Our study was a single center prospective study. Although all TNs in the GEC-suspicious group had surgery, not all in the GEC-benign group did. There are eight TNs in the GEC-benign group with high SWV (≥3.59 m/s) and ≤1 suspicious US feature. These individuals did not undergo surgical resection since GEC-benign result is felt to represent the current clinical practice standard [3]. We continue to monitor these eight TNs with US for growth and if indicated, repeat FNAB.
A number of factors can affect thyroid tissue stiffness and subsequently cause false SWV measurement: TNs with high fluid content (>50%), isthmus location, tissue fibrosis, and high calcified content of TNs (>25%).
There has been a recent nomenclature revision for encapsulated follicular variant of papillary thyroid cancer (EFVPTC). Due to its indolent behavior, this thyroid tumor was downgraded from cancer to noninvasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP) [36]. The implementation of this reclassification will lower the number of malignancies in particular among the GEC-suspicious group. Despite change in nomenclature, surgery is still the treatment of choice for this group of TNs. This recommendation was published in August 2016 and did not affect our study.
Conclusion
In TNs with BC III and IV cytopathology, SWV, and GEC demonstrate similar diagnostic performance and are independent predictors of TC.
Acknowledgements
For performing the statistical analysis and for expert statistical advice, we acknowledge Sonja Ziniel, PhD (Children’s Hospital Colorado, Aurora, CO). We would also like to thank our independent reviewers Steve Lundberg, BS, RDMS, RVT; David Hawa, RDMS, ABD, OBGYN, RVT; and Megan Cox, RDMS, RVT.
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
Ethical approval
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This article does not contain any studies with animals performed by any of the authors.
Informed consent
Informed consent was obtained from all individual participants included in the study.
References
- 1.Cibas ES, Ali SZ. The bethesda system for reporting thyroid cytopathology. Am. J. Clin. Pathol. 2009;132(5):658–665. doi: 10.1309/AJCPPHLWMI3JV4LA. [DOI] [PubMed] [Google Scholar]
- 2.Alexander EK, Kennedy GC, Baloch ZW, Cibas ES, Chudova D, Diggans J, Friedman L, Kloos RT, LiVolsi VA, Mandel SJ, Raab SS, Rosai J, Steward DL, Walsh PS, Wilde JI, Zeiger MA, Lanman RB, Haugen BR. Preoperative diagnosis of benign thyroid nodules with indeterminate cytology. N. Engl. J. Med. 2012;367(8):705–715. doi: 10.1056/NEJMoa1203208. [DOI] [PubMed] [Google Scholar]
- 3.Haugen BR, Alexander EK, Bible KC, Doherty GM, Mandel SJ, Nikiforov YE, Pacini F, Randolph GW, Sawka AM, Schlumberger M, Schuff KG, Sherman SI, Sosa JA, Steward DL, Tuttle RM, Wartofsky L. 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]
- 4.Nikiforov YE, Ohori NP, Hodak SP, Carty SE, LeBeau SO, Ferris RL, Yip L, Seethala RR, Tublin ME, Stang MT, Coyne C, Johnson JT, Stewart AF, Nikiforova MN. Impact of mutational testing on the diagnosis and management of patients with cytologically indeterminate thyroid nodules: a prospective analysis of 1056 FNA samples. J. Clin. Endocrinol. Metab. 2011;96:3390–3397. doi: 10.1210/jc.2011-1469. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Angell TE, Frates MC, Medici M, Liu X, Kwong N, Cibas ES, Kim MI, Marqusee E. Afirma benign thyroid nodules show similar growth to cytologically benign nodules during follow-up. J. Clin. Endocrinol. Metab. 2015;100(11):E1477–E1483. doi: 10.1210/jc.2015-2658. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Brauner E, Holmes BJ, Krane JF, Nishino M, Zurakowski D, Hennessey JV, Faquin WC, Parangi S. Performance of the afirma gene expression classifier in hürthle cell thyroid nodules differs from other indeterminate thyroid nodules. Thyroid. 2015;25(7):789–796. doi: 10.1089/thy.2015.0049. [DOI] [PubMed] [Google Scholar]
- 7.McIver B, Castro MR, Morris JC, Bernet V, Smallridge R, Henry M, Kosok L, Reddi H. An independent study of a gene expression classifier (Afirma) in the evaluation of cytologically indeterminate thyroid nodules. J. Clin. Endocrinol. Metab. 2014;99(11):4069–4077. doi: 10.1210/jc.2013-3584. [DOI] [PubMed] [Google Scholar]
- 8.Garra BS. Elastography: current status, future prospects, and making it work for you. Ultrasound Q. 2011;27(3):177–186. doi: 10.1097/RUQ.0b013e31822a2138. [DOI] [PubMed] [Google Scholar]
- 9.Veyrieres JB, Albarel F, Lombard JV, Berbis J, Sebag F, Oliver C, Petit P. A threshold value in shear wave elastography to rule out malignant thyroid nodules: a reality? Eur. J. Radiol. 2012;81(12):3965–3972. doi: 10.1016/j.ejrad.2012.09.002. [DOI] [PubMed] [Google Scholar]
- 10.Xu JM, Xu XH, Xu HX, Zhang YF, Zhang J, Guo LH, Liu LN, Liu C, Zheng SG. Conventional US, US elasticity imaging, and acoustic radiation force impulse imaging for prediction of malignancy in thyroid nodules. Radiology. 2014;272(2):577–586. doi: 10.1148/radiol.14132438. [DOI] [PubMed] [Google Scholar]
- 11.Azizi G, Keller JM, Mayo ML, Piper K, Puett D, Earp KM, Malchoff CD. Thyroid nodules and shear wave elastography: a new tool in thyroid cancer detection. Ultrasound Med. Biol. 2015;41(11):2855–2865. doi: 10.1016/j.ultrasmedbio.2015.06.021. [DOI] [PubMed] [Google Scholar]
- 12.Zhang FJ, Han RL. The value of acoustic radiation force impulse (ARFI) in the differential diagnosis of thyroid nodules. Eur. J. Radiol. 2013;82(11):e686–e690. doi: 10.1016/j.ejrad.2013.06.027. [DOI] [PubMed] [Google Scholar]
- 13.J. Benson, L. Fan. Tissue strain analytics, a complete ultrasound solution for elastography [White paper] (2012). http://sonoworld.com/Client/Centers/WhitePaper.aspx?ContentId=63. Accessed 4 Dec 2016
- 14.J. Bercoff. SuperSonic Imagine white paper: shear wave elastography (2008). http://www.supersonicimagine.com/content/view/full/115/%28origin%29/449. Accessed 30 Oct 2012
- 15.Brennan RL, Prediger DJ. Coefficient kappa: some uses, misuses, and alternatives. Educ. Psychol. Meas. 1981;41:687–999. doi: 10.1177/001316448104100307. [DOI] [Google Scholar]
- 16.Kamran SC, Marqusee E, Kim MI, Frates MC, Ritner J, Peters H, Benson CB, Doubilet PM, Cibas ES, Barletta J, Cho N, Gawande A, Ruan D, Moore FD, Jr, Pou K, Larsen PR, Alexander EK. Thyroid nodule size and prediction of cancer. J. Clin. Endocrinol. Metab. 2013;98(2):564–570. doi: 10.1210/jc.2012-2968. [DOI] [PubMed] [Google Scholar]
- 17.Alexander EK, Schorr M, Klopper J, Kim C, Sipos J, Nabhan F, Parker C, Steward DL, Mandel SJ, Haugen BR. Multicenter clinical experience with the Afirma gene expression classifier. J. Clin. Endocrinol. Metab. 2014;99(1):119–125. doi: 10.1210/jc.2013-2482. [DOI] [PubMed] [Google Scholar]
- 18.Yang SE, Sullivan PS, Zhang J, Govind R, Levin MR, Rao JY, Moatamed NA. Has Afirma gene expression classifier testing refined the indeterminate thyroid category in cytology? Cancer Cytopathol. 2016;124(2):100–109. doi: 10.1002/cncy.21624. [DOI] [PubMed] [Google Scholar]
- 19.Duick DS, Klopper JP, Diggans JC, Friedman L, Kennedy GC, Lanman RB, McIver B. The impact of benign gene expression classifier test results on the endocrinologist-patient decision to operate on patients with thyroid nodules with indeterminate fine-needle aspiration cytopathology. Thyroid. 2012;22(10):996–1001. doi: 10.1089/thy.2012.0180. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Wu JX, Young S, Hung ML, Li N, Yang SE, Cheung DS, Yeh MW, Livhits MJ. Clinical factors influencing the performance of gene expression classifier testing in indeterminate thyroid nodules. Thyroid. 2016;26(7):916–922. doi: 10.1089/thy.2015.0505. [DOI] [PubMed] [Google Scholar]
- 21.Harrison G, Sosa JA, Jiang X. Evaluation of the afirma gene expression classifier in repeat indeterminate thyroid nodules. Arch. Pathol. Lab. Med. 2017;141(7):985–989. doi: 10.5858/arpa.2016-0328-OA. [DOI] [PubMed] [Google Scholar]
- 22.Caturegli P, De Remigis A, Chuang K, Dembele M, Iwama A, Iwama S. Hashimoto's thyroiditis: celebrating the centennial through the lens of the Johns Hopkins hospital surgical pathology records. Thyroid. 2013;23(2):142–150. doi: 10.1089/thy.2012.0554. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Azizi G, Keller JM, Lewis M, Piper K, Puett D, Rivenbark KM, Malchoff CD. Association of Hashimoto's thyroiditis with thyroid cancer. Endocr. Relat. Cancer. 2014;21(6):845–852. doi: 10.1530/ERC-14-0258. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Kim ES, Lim DJ, Baek KH, Lee JM, Kim MK, Kwon HS, Song KH, Kang MI, Cha BY, Lee KW, Son HY. Thyroglobulin antibody is associated with increased cancer risk in thyroid nodules. Thyroid. 2010;20(8):885–891. doi: 10.1089/thy.2009.0384. [DOI] [PubMed] [Google Scholar]
- 25.Haymart MR, Repplinger DJ, Leverson GE, Elson DF, Sippel RS, Jaume JC, Chen H. Higher serum thyroid stimulating hormone level in thyroid nodule patients is associated with greater risks of differentiated thyroid cancer and advanced tumor stage. J. Clin. Endocrinol. Metab. 2008;93(3):809–814. doi: 10.1210/jc.2007-2215. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Haymart MR, Glinberg SL, Liu J, Sippel RS, Jaume JC, Chen H. Higher serum TSH in thyroid cancer patients occurs independent of age and correlates with extrathyroidal extension. Clin. Endocrinol. 2009;71(3):434–439. doi: 10.1111/j.1365-2265.2008.03489.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Nam-Goong IS, Kim HY, Gong G, Lee HK, Hong SJ, Kim WB, Shong YK. Ultrasonography-guided fine-needle aspiration of thyroid incidentaloma: correlation with pathological findings. Clin. Endocrinol. 2004;60(1):21–28. doi: 10.1046/j.1365-2265.2003.01912.x. [DOI] [PubMed] [Google Scholar]
- 28.Chow SM, Law SC, Chan JK, Au SK, Yau S, Lau WH. Papillary microcarcinoma of the thyroid-prognostic significance of lymph node metastasis and multifocality. Cancer. 2003;98(1):31–40. doi: 10.1002/cncr.11442. [DOI] [PubMed] [Google Scholar]
- 29.Grebe SK, Hay ID. Thyroid cancer nodal metastases: biologic significance and therapeutic considerations. Surg. Oncol. Clin. N. Am. 1996;5(1):43–63. doi: 10.1016/S1055-3207(18)30404-6. [DOI] [PubMed] [Google Scholar]
- 30.Scheumann GF, Gimm O, Wegener G, Hundeshagen H, Dralle H. Prognostic significance and surgical management of locoregional lymph node metastases in papillary thyroid cancer. World J. Surg. 1994;18(4):559–567. doi: 10.1007/BF00353765. [DOI] [PubMed] [Google Scholar]
- 31.Ito Y, Uruno T, Nakano K, Takamura Y, Miya A, Kobayashi K, Yokozawa T, Matsuzuka F, Kuma S, Kuma K, Miyauchi A. An observation trial without surgical treatment in patients with papillary microcarcinoma of the thyroid. Thyroid. 2003;13(4):381–387. doi: 10.1089/105072503321669875. [DOI] [PubMed] [Google Scholar]
- 32.Samir AE, Dhyani M, Anvari A, Prescott J, Halpern EF, Faquin WC, Stephen A. Shear-wave elastography for the preoperative risk stratification of follicular-patterned lesions of the thyroid: diagnostic accuracy and optimal measurement plane. Radiology. 2015;277(2):565–573. doi: 10.1148/radiol.2015141627. [DOI] [PubMed] [Google Scholar]
- 33.Azizi G, Keller J, Lewis M, Puett D, Rivenbark K, Malchoff C. Performance of elastography for the evaluation of thyroid nodules: a prospective study. Thyroid. 2013;23(6):734–740. doi: 10.1089/thy.2012.0227. [DOI] [PubMed] [Google Scholar]
- 34.Bardet S, Ciappuccini R, Pellot-Barakat C, Monpeyssen H, Michels JJ, Tissier F, Blanchard D, Menegaux F, de Raucourt D, Lefort M, Reznik Y, Rouxel A, Heutte N, Brenac F, Leconte A, Buffet C, Clarisse B, Leenhardt L. Shear wave elastography in thyroid nodules with indeterminate cytology: results of a prospective bicentric study. Thyroid. 2017;27(11):1441–1449. doi: 10.1089/thy.2017.0293. [DOI] [PubMed] [Google Scholar]
- 35.Ehlers M, Schott M. Hashimoto's thyroiditis and papillary thyroid cancer: are they immunologically linked? Trends Endocrinol. Metab. 2014;25(12):656–664. doi: 10.1016/j.tem.2014.09.001. [DOI] [PubMed] [Google Scholar]
- 36.Nikiforov YE, Seethala RR, Tallini G, Baloch ZW, Basolo F, Thompson LD, Barletta JA, Wenig BM, Al Ghuzlan A, Kakudo K, Giordano TJ, Alves VA, Khanafshar E, Asa SL, El-Naggar AK, Gooding WE, Hodak SP, Lloyd RV, Maytal G, Mete O, Nikiforova MN, Nosé V, Papotti M, Poller DN, Sadow PM, Tischler AS, Tuttle RM, Wall KB, LiVolsi VA, Randolph GW, Ghossein RA. Nomenclature revision for encapsulated follicular variant of papillary thyroid carcinoma: a paradigm shift to reduce overtreatment of indolent tumors. JAMA Oncol. 2016;2(8):1023–1029. doi: 10.1001/jamaoncol.2016.0386. [DOI] [PMC free article] [PubMed] [Google Scholar]