Afirma Gene Expression Classifier Research Articles

How "suspicious" is that nodule? Review of "suspicious" Afirma gene expression classifier in high risk thyroid nodules.

The Afirma gene expression classifier (GEC) is being increasingly utilized to confirm the benign nature of indeterminate FNA cytology results thus avoiding unnecessary surgical procedures. However the "suspicious" result of the Afirma GEC does not classify these indeterminate nodules further in determining appropriate management. This study investigated the outcome of the thyroid nodules deemed to be "suspicious" by the Afirma GEC in a high risk population. The pathology database was searched for all thyroid nodules with Afirma test results over a three year period, 2013-2015. All thyroid nodules with a "suspicious" Afirma GEC result were investigated. Patient medical records were retrospectively reviewed for clinical history, FNA results, radiologic findings, management and follow-up. Afirma result was suspicious in 69 cases. On cytologic evaluation 3.0% of the cases were non diagnostic (ND), 9% benign, 62% AUS, and 26% suspicious for neoplasm (SN). There was no follow up in 13% of cases and 87% were resected (50% lobectomies and 50% total thyroidectomies). On surgical resection 82% were benign, with 45% follicular adenoma (FA), and 37% nodular goiter (NG). The remaining 18% were malignant. The rate of malignancy in nodules suspicious by Afirma was 18.3% (11/60). The rate of malignancy in nodules suspicious for neoplasm (SN) on cytology interpretation was 31.2% (5/16). False positive rate of Afirma was 56% (32/57). We conclude that cytology interpretation has a higher rate of predicting malignancy, in nodules interpreted as SN, when compared with the Afirma test, by almost twofold Diagn. Cytopathol. 2017;45:308-311. © 2016 Wiley Periodicals, Inc.

Qualifiers of atypia in the cytologic diagnosis of thyroid nodules are associated with different Afirma gene expression classifier results and clinical outcomes.

BACKGROUNDThyroid nodules with atypia of undetermined significance (AUS) on fine‐needle aspiration (FNA) have a low risk of malignancy that appears to vary based on specific features described in the AUS diagnosis. The Afirma gene expression classifier (GEC) is a molecular test designed to improve preoperative risk stratification of thyroid nodules, but its performance for different patterns of AUS has not been defined. The objective of this study was to assess GEC results and clinical outcomes in AUS nodules with architectural atypia (AUS‐A), cytologic atypia (AUS‐C) or both (AUS‐C/A).METHODSThis was a retrospective review of all thyroid nodules with AUS cytopathology that underwent GEC testing at the authors' institution over a period of >4 years.RESULTSIn 227 nodules that had AUS cytology results and Afirma GEC testing, the rate of benign GEC results was higher in AUS‐A nodules (70 of 107; 65%) than in AUS‐C/A nodules (25 of 65; 38%; P = .0008), and AUS‐C nodules exhibited an intermediate rate of benign results (27 of 55 nodules; 59%). The risk of cancer among patients who had GEC‐suspicious nodules, 86% of whom underwent resection, was 19% (6 of 25) for AUS‐A nodules compared with 57% (21 of 37) for AUS‐C/A nodules (P = .003) and 45% (10 of 22) for AUS‐C nodules (P = .07). In nodules that had an indeterminate repeat cytology result, no difference was observed in the rate of benign GEC results or in the malignancy rate compared with nodules that had a single cytology result.CONCLUSIONSThe performance characteristics of Afirma GEC testing vary, depending on qualifiers of cytologic atypia. Recognition of these differences may enable clinicians to provide improved counseling and treatment recommendations to patients. Cancer Cytopathol 2017;125:313–322. © 2017 American Cancer Society.

Molecular Profiling of Thyroid Nodules: Current Role for the Afirma Gene Expression Classifier on Clinical Decision Making.

Thyroid fine-needle aspiration biopsy results are cytologically indeterminate in 15-30% of cases. When these nodules undergo diagnostic surgery, approximately three-quarters are histologically benign. These unnecessary surgeries diminish quality of life, generate complications, and increase healthcare costs. The Afirma gene expression classifier (GEC) is validated to pre-operatively identify cytologically indeterminate nodules likely to be truly benign so that surgery can be avoided. Its performance is supported by robust multicenter prospective and blinded clinical validation studies, and supported by extensive independent clinical utility publications which show a marked reduction in surgery among patients with benign Afirma GEC results. To rule-out cancer and avoid unnecessary diagnostic surgery, Afirma’s quality and depth of validation stand alone. The accuracy of a benign result is the negative predictive value (NPV). Afirma achieves an NPV ≥94% among cytologically indeterminate nodules (Bethesda III or IV). Thirteen clinical utility studies describing 1468 GEC benign patients demonstrate that few Afirma GEC benign nodules undergo surgery, including after 3 years of follow-up. With a specificity of 52%, over half of the truly benign nodules with indeterminate cytology receive a benign GEC result. High test sensitivity is critical to safely rule out cancer. The Afirma GEC’s 90% sensitivity means that regardless of the pre-test risk of malignancy, 90% of all malignant nodules are GEC suspicious. The Afirma GEC has transformed patient care. Where the majority of cytologically indeterminate patients were once operated to determine if the nodule was benign or malignant, now nearly half of these surgeries can be avoided.

Young Investigator Challenge: Molecular testing in noninvasive follicular thyroid neoplasm with papillary-like nuclear features.

Molecular testing provides an important ancillary study for thyroid nodules with indeterminate cytology. The nomenclature shift to "noninvasive follicular thyroid neoplasm with papillary-like nuclear features" (NIFTP) will impact the performance of molecular tests. For the current study, the authors reviewed the performance of the Afirma gene-expression classifier (GEC) and the University of Pittsburgh Medical Center (UPMC) targeted mutation panel tests in thyroid nodules that were subsequently diagnosed as NIFTP on surgical resection. In total, 302 nodules were sent for molecular testing between June 2012 and June 2016. These cases were retrospectively reviewed to identify patients who underwent subsequent surgical resection and were diagnosed with follicular variant of papillary thyroid carcinoma (FVPTC). Twenty-five nodules that were diagnosed as FVPTC met the initial inclusion criteria. These cases were reviewed using strict criteria to identify NIFTP. Eight cases met criteria for NIFTP, and 4 NIFTPs underwent Afirma testing. Cytology diagnoses were all Bethesda category III, with 3 diagnosed as atypia of undetermined significance (AUS) and 1 diagnosed as follicular lesion of undetermined significance (FLUS). All of these nodules were identified as "suspicious" using GEC. Four NIFTPs underwent testing at UPMC, all using ThyroSeq V2. The cytology diagnoses for these nodules also were category III, with the exception of 1 nodule that was category IV, suspicious for follicular neoplasm. All NIFTPs were positive for mutations, all of which were RAS mutations (NRAS, KRAS). One patient who had a nodule classified as NIFTP had metastatic carcinoma identified in a lymph node. Another who had a 6-cm tumor had coexisting NRAS and TERT mutations. The current results indicate that NIFTP is a rare tumor if defined by strict criteria, that both the GEC and UPMC methods indicate abnormalities in NIFTP, and further independent study will be needed to better characterize the molecular and clinical characteristics of NIFTP. Cancer Cytopathol 2016;124:893-900. © 2016 American Cancer Society.

Utility of Ultrasound Versus Gene Expression Classifier in Thyroid Nodules with Atypia of Undetermined Significance

Thyroid nodules with fine-needle aspiration (FNA) cytology categorized as atypia of undetermined significance (AUS) often undergo additional diagnostic analysis with the Afirma Gene Expression Classifier (GEC), which classifies these as either high probability of being benign (GEC-B) or suspicious for malignancy (GEC-S). Our goal was to assess the clinical validity and utility of GEC in the evaluation of AUS cytology and evaluate the performance of ultrasonography (USG) for predicting malignancy in this subset. We conducted a study with a retrospective cohort of patients from January 2012 to January 2014 who had FNA of thyroid nodules >1 cm in size with AUS cytology. Cleveland Clinic Florida has an overall prevalence of AUS of 5%. A total of 119 cases with nodules >1 cm in size were reported as AUS. Forty-eight (40.3%) had a GEC performed after the first FNA (AUS-1), and 27 of these were GEC-S. Of those 27, 21 went for surgery and 14 (66.6%) had thyroid cancer on histopathology. The remaining 71 with AUS-1 were sent for a second FNA: 19 nodules were benign and did not undergo further evaluation, while the remaining 52 were reported as AUS for the second consecutive time (AUS-2). AUS-2 samples were sent for GEC. Of these 52 AUS-2, 38 (73.1%) were reported as GEC-S. Thirty-five went for surgery and 32 (91.4%) had confirmed malignancy on histopathology. Positive predictive value (PPV) was 91.4% for AUS-2 and 66.6% for AUS-1. Moreover, AUS-2 nodules that were hypoechoic and solid on USG showed a PPV of 92% for malignancy. In our practice, the diagnostic accuracy to predict malignancy with GEC for AUS-1 nodules was poor (PPV, 66.6%). The PPV of GEC testing was markedly higher at 91.4% performed after two consecutive AUS cytologies. AUS-2 nodules that were solid and hypoechoic on USG also had a high probability to be malignant (PPV, 92%). We recommend repeat FNA on AUS-1 nodules rather than proceeding directly to GEC testing. Also, we suggest that among AUS-2 nodules, surgery can be recommended when USG shows solid and hypoechoic features with GEC testing reserved for the remainder. AUS = atypia of undetermined significance FNA = fine-needle aspiration GEC = gene expression classifier GEC-B = GEC-benign GEC-S = GEC-suspicious for malignancy NPV = negative predictive value PPV = positive predictive value USG = ultrasonography.

Many Thyroid Cancers Detected by Afirma Gene-Expression Classifier Are Noninvasive Encapsulated Follicular Variant of Papillary Thyroid Carcinoma

Many Thyroid Cancers Detected by Afirma Gene-Expression Classifier Are Noninvasive Encapsulated Follicular Variant of Papillary Thyroid Carcinoma

Impact of Afirma Gene Expression Classifier Result on Surgical Management of Cytologically Indeterminate Thyroid Nodules and Its Correlation with Surgical Outcome and Cytomorphologic Features

Impact of Afirma Gene Expression Classifier Result on Surgical Management of Cytologically Indeterminate Thyroid Nodules and Its Correlation with Surgical Outcome and Cytomorphologic Features

Molecular Testing of Thyroid Nodules: A Review of Current Available Tests for Fine-Needle Aspiration Specimens.

- Fine-needle aspiration of thyroid nodules is a reliable diagnostic method to determine the nature of thyroid nodules. Nonetheless, indeterminate cytology diagnoses remain a diagnostic challenge. The development of multiplex molecular techniques and the identification of genetic alterations associated with different follicular cell-derived cancers in the thyroid have led to the introduction of several commercially available tests. - To summarize the most common commercially available molecular testing in thyroid cancer, focusing on the technical features and test performance validation. - Peer-reviewed original articles, review articles, and published conference abstracts were reviewed to analyze the advantages and limitations of the most common tests used in the evaluation of thyroid needle aspirations. - The most common tests available include the Afirma Gene Expression Classifier, ThyGenX, and ThyroSeq. The excellent negative predictive value (NPV) of the Afirma test allows it to be used as a "rule out" test. ThyGenX analyzes a panel of DNA mutations and RNA translocation fusion markers to assess the risk of malignancy with good NPV and positive predictive value. ThyroSeq is a next-generation sequencing-based gene mutation and fusion test that has been reported to have the best NPV and positive predictive value combined, suggesting that it can be used as a "rule in" and "rule out" test. Molecular testing of cytology specimens from thyroid nodules has the potential to play a major role in the evaluation of indeterminate thyroid lesions.

Noninvasive Follicular Variant of Papillary Thyroid Carcinoma and the Afirma Gene-Expression Classifier.

It is now recognized that noninvasive follicular variant of papillary thyroid carcinoma (NFVPTC) is a distinct subset of FVPTC with an exceedingly indolent clinical course. The Afirma gene-expression classifier (GEC) helps guide clinicians in the management of thyroid nodules with indeterminate fine-needle aspiration (FNA) results. Thyroid surgery is recommended for nodules with a suspicious Afirma result, whereas observation is deemed reasonable for most nodules with a benign result. The aim of this study was to confirm that the Afirma test detects NFVPTCs and to determine how many carcinomas detected by the Afirma GEC represent NFVPTCs. From a database of 249 FNAs sent for Afirma testing between January 2012 and October 2014, a search was conducted for cases with a preceding FNA diagnosis of atypia/follicular lesion of undetermined significance (AUS/FLUS) or suspicious for a follicular neoplasm (SFN), a suspicious Afirma result, and a corresponding resection specimen reviewed at Brigham and Women's Hospital. The diagnoses of the prior FNAs and subsequent resection specimens were recorded. Slides for all resection specimens with a diagnosis of FVPTC were reviewed to identify NFVPTCs. Sixty-three cases met the inclusion criteria. The preceding FNA diagnosis was AUS/FLUS in 34 (54%) cases and SFN in 29 (46%) cases. The surgical resection specimen demonstrated 16 (25%) FVPTCs, five (8%) follicular thyroid carcinomas, one (2%) classical type PTC, and 41 (65%) benign tumors/nodules. Of the 16 FVPTCs, 14 (88%) were NFVPTCs. Thus, NFVPTCs accounted for 64% of the carcinomas in the cohort. These results indicate that the Afirma GEC detects NFVPTCs and that many of the carcinomas detected by Afirma are NFVPTCs. While all care should be individualized and include clinical and sonographic assessment, these results suggest lobectomy as opposed to total thyroidectomy should be considered for nodules with a preceding AUS/FLUS or SFN on cytology and a suspicious Afirma result.

Use of the Afirma Gene Expression Classifier Increased the Number of Indeterminate Diagnoses but Did Not Reduce the Frequency of Thyroid Surgery

Use of the Afirma Gene Expression Classifier Increased the Number of Indeterminate Diagnoses but Did Not Reduce the Frequency of Thyroid Surgery

Impact of Afirma gene expression classifier on cytopathology diagnosis and rate of thyroidectomy.

The Afirma gene expression classifier (GEC) assesses malignancy risk in patients with indeterminate thyroid nodules. Afirma putatively reduces costs by classifying certain nodules as benign and thereby avoiding unnecessary surgery. Prior studies have evaluated its impact exclusively on GEC-tested nodules. The objective of the current study was to analyze the effect of Afirma on 1) cytopathology diagnosis, 2) the rate of surgery, and 3) the rate of malignancy on all indeterminate nodules at a high-volume thyroid center. A retrospective cohort analysis of indeterminate (Bethesda III/IV) thyroid nodules from 2012 through 2014 was performed. Cases were evaluated from January 2012 to July 2013 (pre-Afirma), and from July 2013 to December 2014 (post-Afirma). Of 4292 fine-needle aspirations (FNAs) performed, 13.2% were classified as indeterminate. The GEC was used in 45.3% of post-Afirma cases, with the GEC-Benign call rate at 37.1%. In comparing pre-Afirma and post-Afirma cohorts, a significant increase in Bethesda III (10.7% vs 13.4%; P<.005) and Bethesda IV (1.8% vs 2.9%; P<.01) rates were observed. Conversely, the incidence of Bethesda II was found to be significantly decreased (74.6% vs 68.8%; P<.001). The rate of surgery did not change significantly between pre-Afirma and post-Afirma cohorts (37.7% vs 45.1%; P = .11), nor did the malignancy rate (25.3% vs 36.0%; P = .12). The incidence of indeterminate FNA diagnoses significantly increased after Afirma became routinely available, whereas the incidence of benign diagnoses significantly decreased. These data suggest that Afirma may shift FNA interpretation toward Bethesda III/IV, in which molecular testing is used. Moreover, the institutional rates of surgery and malignancy did not appear to change, raising uncertainty regarding the benefits of molecular assay risk stratification. Afirma may produce unintended collateral effects, increasing the number of indeterminate FNA diagnoses while not affecting the institutional thyroidectomy rate or malignancy yield. Cancer Cytopathol 2016;124:722-8. © 2016 American Cancer Society.

Impact of the Afirma Gene Expression Classifier Result on the Surgical Management of Thyroid Nodules with Category III/IV Cytology and Its Correlation with Surgical Outcome

Objective: The Afirma gene expression classifier (GEC) is a molecular test to further classify indeterminate fine-needle aspiration (FNA) as benign or suspicious for malignancy. Study Design: A total of 158 FNAs with Bethesda category III/IV cytology were sent for an Afirma GEC test. We correlated the Afirma GEC results with surgical outcome and also compared the data after Afirma's implementation with the data before. Results: Among the 158 FNAs, the Afirma result was benign in 63 (40%), suspicious in 85 (54%) and unsatisfactory in 10 (6%). In total, 73 (86%) suspicious Afirma cases had surgery and 28 (38%) showed carcinoma. In contrast, only 8 (13%) benign Afirma cases had surgery and all of them were benign. The sensitivity, specificity, negative predictive value and positive predictive value (PPV) of Afirma were 100, 15, 100 and 38%, respectively. The PPV was 20% in cases with follicular lesion of undetermined significance, but was 50% in cases suspicious for follicular neoplasm (SFN). The surgical excisional rate was significantly decreased in SFN cases after the Afirma test. Conclusions: The Afirma GEC is useful for further risk stratifying SFN cases.

Long-Term Nonoperative Rate of Thyroid Nodules with Benign Results on the Afirma Gene Expression Classifier

The primary objective was to assess the operative rate in patients with a benign result from the Afirma gene expression classifier (GEC) during long-term follow-up at nonacademic medical facilities. The secondary endpoint of this study was the treating physician's opinion regarding the safety of GEC use compared to the hypothetical situation of providing thyroid nodule management without the GEC. This was a retrospective study of nonacademic medical practices utilizing the GEC. Those clinicians utilizing the GEC testing who had three or more 'benign' results during the data collection period (September 2010 through June 2014) were invited to participate. Operative status and patient demographics were documented for patients with GEC testing at least 36 months (± 3 months) prior to the date of data collection. A survey also was administered to the treating physicians to assess their perceived safety of using the GEC in patient care. During 36 months (± 3 months) of follow-up, 17 of 98 patients (17.3%) with a 'benign' GEC result underwent surgery. Within the first 2 years after a 'benign' GEC, 88% of surgeries were performed. Regarding safety of the GEC, the treating physicians reported that patient safety was improved by using the GEC compared to not using the GEC in 78 of 91 cases (86%). It appears that a 'benign' result on the GEC is associated with a reduction in the rate of thyroid surgeries compared to published data when patients are followed for 36 months after testing. A nonoperative approach to follow-up was felt to be a safe alternative to diagnostic surgery by the majority of responsible physicians in the study. AUS = atypia of undetermined significance FLUS = follicular lesion of undetermined significance FN = follicular neoplasm FNA = fine-needle aspiration GEC = gene expression classifier.

The Effect of Implementing Gene Expression Classifier on Outcomes of Thyroid Nodules with Indeterminate Cytology.

Thyroid nodules are classified into six cytological categories under the Bethesda classification system. Two of these categories, atypical of undetermined significance (AUS) and suspicious for a follicular neoplasm (SFN), are further labeled as "indeterminate" diagnosis. Starting in June, 2012, Kansas University-Wichita Endocrine clinic implemented Afirma® Gene Expression Classifier (AGEC) to evaluate the need for surgical resection of thyroid nodules in patients with an indeterminate diagnosis. Electronic medical records of patients who underwent thyroid nodule fine-needle aspiration from 2004-2014 were reviewed. The aim of this study was to find whether implementing AGEC was associated with decreased surgical recommendation rate, decreased cost, and increased incidence of thyroid malignancy diagnosed by surgery in patients with indeterminate diagnosis. A total of 299 consecutive patients' charts were screened. Sixty-one (20%) patients had an indeterminate diagnosis. Out of these, 27 (44%) patients underwent evaluation before and 34 (56%) patients underwent evaluation after AGEC implementation, respectively. Surgical recommendation for patients with indeterminate finding decreased from 81.5 to 50% (p = 0.01) after AGEC implementation. Surgical pathology was read as malignant in 20 and 85.7% (p < 0.01) of patients before and after AGEC implementation, respectively. Primary cost-benefit estimate showed implementing AGEC has saved $1048/patient in medical evaluation and initial management of patients with indeterminate diagnosis. AGEC implementation has decreased the number of surgical recommendations, has lowered financial burden, and has increased incidence of thyroid malignancy diagnosed by surgical pathology in patients with indeterminate diagnosis of thyroid nodules.

Gene expression classifier for the diagnosis of indeterminate thyroid nodules: a meta-analysis.

Prior studies demonstrate that a novel genomic test, the gene expression classifier (GEC), could identify a benign gene expression signature in those nodules with indeterminate cytology with a negative predictive value of greater than 95%. Examine the performance of the AFIRMA gene expression classifier in predicting benign and malignant nodules in patients with cytologically indeterminate nodules. MEDLINE and EMBASE search for studies meeting eligibility criteria between January 1, 2005, and August 30, 2015. A total of 58 studies identified. After excluding duplicates, case reports, reviews, commentary, insufficient data, a total of seven studies selected for analysis. We combined individual patient data from seven studies that examined the GEC test for indeterminate thyroid nodules. The reference standard for determination of benign or malignant nodules was the histopathology of the thyroidectomy specimen. A QUADAS-2 report for all studies included in the final analysis was tabulated for risk of bias and applicability. The pooled sensitivity of the GEC was 95.7% (95% CI 92.2-97.9, I (2) value 45.4%, p=0.09), and the pooled specificity was 30.5% (95% CI 26.0-35.3, I (2) value 92.1%, p<0.01). Overall, the diagnostic odds ratio was 7.9 (95% CI 4.1-15.1). Patients with benign GEC were not followed long enough to ascertain the actual false-negative rates of the index test. Our meta-analysis revealed a high pooled sensitivity and a low specificity for the AFIRMA-GEC test for indeterminate thyroid nodules. This makes it an excellent tool to rule out malignancy.

Utility of Ultrasound vs. Gene Expression Classifier in Thyroid Nodules with Atypia of Undetermined Significance

Introduction: Thyroid nodules with fine needle aspiration (FNA) cytology categorized as atypia of undetermined significance (AUS) often undergo additional diagnostic analysis with the Afirma Gene Expression Classifier (GEC) which classifies these as either high probability of being benign (GEC-B) or suspicious for malignancy (GEC-S). Our goal was to assess the clinical validity and utility of GEC in the evaluation of AUS cytology and evaluate the performance of ultrasonography (USG) for predicting malignancy in this subset. Methods: We conducted a study with a retrospective cohort of patients from January 2012- January 2014 who had FNA of thyroid nodules >1 cm in size with AUS cytology. Results: Cleveland Clinic Florida has an overall incidence of AUS of 5%. 119 cases with nodules >1 cm in size were reported as AUS. 48 (40.3%) had a GEC performed after the first FNA (AUS-1) and 27 of these were GEC-S. Of those 27, 21 went for surgery and 14 (66.6%) had thyroid cancer on histopathology. The remaining 71 with AUS-1 were sent for a 2nd FNA:19 nodules were benign and did not undergo further evaluation while the remaining 52 were reported as AUS for the second consecutive time (AUS-2). AUS-2 samples were sent for GEC. Of these 52 AUS-2, 38 (73.1%) were reported as GEC-S. 35 went for surgery and 32 (91.4%) had confirmed malignancy on histopathology. Positive Predictive Value (PPV) was 91.4% for AUS-2 vs. 66.6% for AUS -1. Moreover, AUS-2 nodules that were hypoechoic and solid on USG showed a PPV of 92% for malignancy. Conclusion: In our practice, the diagnostic accuracy to predict malignancy with GEC for AUS-1 nodules was poor (PPV 66.6%). The PPV of GEC testing was markedly higher at 91.4% performed after 2 consecutive AUS cytologies. AUS-2 nodules that were solid and hypoechoic on USG also had a high probability to be malignant (PPV 92%). We recommend repeat FNA on AUS-1 nodules rather than proceeding directly to GEC testing. Also, we suggest that among AUS-2 nodules, surgery can be recommended when USG shows solid and hypoechoic features with GEC testing reserved for the remainder.

Evaluation of Cytologically Indeterminate Thyroid Nodules Using Afirma Gene Expression Classifier (GEC) at an Academic Medical Center

Evaluation of Cytologically Indeterminate Thyroid Nodules Using Afirma Gene Expression Classifier (GEC) at an Academic Medical Center

Institutional Outcome of Afirma Gene Expression Classifier (GEC) Analysis: A Review and Comparison

Institutional Outcome of Afirma Gene Expression Classifier (GEC) Analysis: A Review and Comparison

Malignancy Rates and Clinical Outcomes of Indeterminate Thyroid Nodules in the Bethesda System for Reporting Thyroid Cytopathology (TBSRTC) and the Impact of Afirma Gene Expression Classifier (GEC) Testing in a Community Hospital

Malignancy Rates and Clinical Outcomes of Indeterminate Thyroid Nodules in the Bethesda System for Reporting Thyroid Cytopathology (TBSRTC) and the Impact of Afirma Gene Expression Classifier (GEC) Testing in a Community Hospital

Review of Suspicious Afirma Gene Expression Classifier in High Risk Thyroid Nodules: How Suspicious is That Nodule?

Review of Suspicious Afirma Gene Expression Classifier in High Risk Thyroid Nodules: How Suspicious is That Nodule?