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Harris M, Zloczower E, Pinhas S, Allon R, Zornitzki T, Malka L, Cohen Y, Lahav Y, Cohen O. Consistency in the Distribution of Bethesda System for Reporting Thyroid Cytology Categories Over 9 Years: A Single Institute, Retrospective Study. Endocr Pract 2024; 30:546-550. [PMID: 38570016 DOI: 10.1016/j.eprac.2024.03.393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 03/07/2024] [Accepted: 03/28/2024] [Indexed: 04/05/2024]
Abstract
BACKGROUND The Bethesda System for Reporting Thyroid Cytopathology (BSRTC) has evolved since it was first introduced in 2009 to become a worldwide accepted cytologic analysis reference, due to its simplicity and reproducibility. To date, the consistency of BSRTC throughout time has yet to be investigated. METHODS Retrospective single institution case series with chart review of all patients who underwent fine-needle aspirations for a thyroid nodule in our institution between the years 2010 and 2018 with a documented BSRTC classification. Data collection included demographics, risk factors, sonographic evaluation, nodule size, and final pathology when feasible. The main outcome is the difference in the rates of BSRTC categories benign, atypia of undetermined significance (AUS), follicular neoplasm, suspicious for malignancy, and malignant (BSRTC II-VI, respectively) between the study years. RESULTS A total of 2830 thyroid nodules were included. BSRTC II-VI distribution was 83.9% (2373), 8.2%, (232), 2.7% (75), 3.3% (93), and 2.0% (57), respectively. There was no significant change in the overall trend of each BSRTC category distribution throughout the study. There was a significant increase in the benign cytology rate (BSRTC II) in 2011 compared to 2015 and 2018 (76.4% compared to 88.7% and 87.6%, respectively. P < .005) alongside a significant decline in the AUS category rate (BSRTC III) between the same years (13.0% compared to 4.8% and 5.5%, respectively. P < .005). CONCLUSION BSRTC showed consistency throughout the study across all observed categories. An overlap between AUS and benign may exist, possibly due to the heterogenic definition of AUS as reflected in the 2023 BSRTC subclassification for AUS.
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Affiliation(s)
- Mai Harris
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel; Medical School for International Health, Ben-Gurion University of the Negev, Be'er Sheva, Israel
| | - Elchanan Zloczower
- Department of Otolaryngology, Head and Neck Surgery, Kaplan Medical Center, Rehovot, Israel; Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Sapir Pinhas
- Department of Otolaryngology, Head and Neck Surgery, Kaplan Medical Center, Rehovot, Israel; Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Raviv Allon
- Department of Otolaryngology, Head and Neck Surgery, Kaplan Medical Center, Rehovot, Israel; Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Taiba Zornitzki
- Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel; Diabetes, Endocrinology and Metabolic Disease Institute, Kaplan Medical Center, Rehovot, Israel
| | - Liron Malka
- Department of Otolaryngology, Head and Neck Surgery, Kaplan Medical Center, Rehovot, Israel; Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Yonatan Cohen
- Department of Otolaryngology, Head and Neck Surgery, Kaplan Medical Center, Rehovot, Israel; Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Yonatan Lahav
- Department of Otolaryngology, Head and Neck Surgery, Kaplan Medical Center, Rehovot, Israel; Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Oded Cohen
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Be'er Sheva, Israel; Department of Otolaryngology-Head and Neck Surgery, Samson Assuta Ashdod University Hospital, Ashdod, Israel.
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Pozdeyev N, Dighe M, Barrio M, Raeburn C, Smith H, Fisher M, Chavan S, Rafaels N, Shortt JA, Lin M, Leu MG, Clark T, Marshall C, Haugen BR, Subramanian D, Crooks K, Gignoux C, Cohen T. Thyroid Cancer Polygenic Risk Score Improves Classification of Thyroid Nodules as Benign or Malignant. J Clin Endocrinol Metab 2024; 109:402-412. [PMID: 37683082 DOI: 10.1210/clinem/dgad530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Revised: 08/29/2023] [Accepted: 09/05/2023] [Indexed: 09/10/2023]
Abstract
CONTEXT Thyroid nodule ultrasound-based risk stratification schemas rely on the presence of high-risk sonographic features. However, some malignant thyroid nodules have benign appearance on thyroid ultrasound. New methods for thyroid nodule risk assessment are needed. OBJECTIVE We investigated polygenic risk score (PRS) accounting for inherited thyroid cancer risk combined with ultrasound-based analysis for improved thyroid nodule risk assessment. METHODS The convolutional neural network classifier was trained on thyroid ultrasound still images and cine clips from 621 thyroid nodules. Phenome-wide association study (PheWAS) and PRS PheWAS were used to optimize PRS for distinguishing benign and malignant nodules. PRS was evaluated in 73 346 participants in the Colorado Center for Personalized Medicine Biobank. RESULTS When the deep learning model output was combined with thyroid cancer PRS and genetic ancestry estimates, the area under the receiver operating characteristic curve (AUROC) of the benign vs malignant thyroid nodule classifier increased from 0.83 to 0.89 (DeLong, P value = .007). The combined deep learning and genetic classifier achieved a clinically relevant sensitivity of 0.95, 95% CI [0.88-0.99], specificity of 0.63 [0.55-0.70], and positive and negative predictive values of 0.47 [0.41-0.58] and 0.97 [0.92-0.99], respectively. AUROC improvement was consistent in European ancestry-stratified analysis (0.83 and 0.87 for deep learning and deep learning combined with PRS classifiers, respectively). Elevated PRS was associated with a greater risk of thyroid cancer structural disease recurrence (ordinal logistic regression, P value = .002). CONCLUSION Augmenting ultrasound-based risk assessment with PRS improves diagnostic accuracy.
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Affiliation(s)
- Nikita Pozdeyev
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
- Division of Endocrinology Metabolism and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
- University of Colorado Cancer Center, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Manjiri Dighe
- Department of Radiology, University of Washington, Seattle, WA 98195, USA
| | - Martin Barrio
- Division of GI, Trauma, and Endocrine Surgery, Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Christopher Raeburn
- Division of GI, Trauma, and Endocrine Surgery, Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Harry Smith
- Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Matthew Fisher
- Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Sameer Chavan
- Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Nicholas Rafaels
- Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Jonathan A Shortt
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
- Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Meng Lin
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
- Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Michael G Leu
- Information Technology Services, UW Medicine, Seattle, WA 98195, USA
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA 98195, USA
- Department of Pediatrics, University of Washington, Seattle, WA 98105, USA
- Division of Hospital Medicine, Seattle Children's Hospital, Seattle, WA 98105, USA
| | - Toshimasa Clark
- Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Carrie Marshall
- Department of Pathology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Bryan R Haugen
- Division of Endocrinology Metabolism and Diabetes, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
- University of Colorado Cancer Center, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | | | - Kristy Crooks
- Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
- Department of Pathology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Christopher Gignoux
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
- Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Trevor Cohen
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA 98195, USA
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Antonia TD, Maria LI, Ancuta-Augustina GG. Preoperative evaluation of thyroid nodules - Diagnosis and management strategies. Pathol Res Pract 2023; 246:154516. [PMID: 37196471 DOI: 10.1016/j.prp.2023.154516] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 05/06/2023] [Indexed: 05/19/2023]
Abstract
Thyroid cancer is the most common endocrine malignancy, with increasing incidence over the past few decades. Fine needle aspiration (FNA) biopsy is the gold standard for preoperative diagnosis of thyroid malignancies. Nevertheless, this method renders indeterminate results in up to 30% of the cases. Therefore, these patients are often referred to unnecessary surgery to establish the diagnosis. To improve the accuracy of preoperative diagnosis, several other ways, such as ultrasonography, elastography, immunohistochemical analysis, genetic testing, and core needle biopsy, have been developed and can be used either in association with or as an alternative to FNA. This review aims to evaluate all these diagnostic tools to determine the most appropriate way of managing thyroid nodules and subsequently improve the selection of cases referred to surgery.
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Affiliation(s)
- Tapoi Dana Antonia
- Carol Davila University of Medicine and Pharmacy, Department of Pathology, Bucharest, Romania; University Emergency Hospital, Department of Pathology, Bucharest, Romania
| | - Lambrescu Ioana Maria
- Carol Davila University of Medicine and Pharmacy, Department of Cellular and Molecular Biology and Histology, Bucharest, Romania; Victor Babes National Institute of Pathology, Bucharest, Romania.
| | - Gheorghisan-Galateanu Ancuta-Augustina
- Carol Davila University of Medicine and Pharmacy, Department of Cellular and Molecular Biology and Histology, Bucharest, Romania; CI Parhon National Institute of Endocrinology, Bucharest, Romania
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Abstract
Molecular diagnostic testing has had a profound impact on the diagnosis and management of thyroid nodules and thyroid cancer. Based on the tremendous expansion of knowledge of the genomic landscape of thyroid cancer over the past few decades, tests have been developed, analyzed, modified, and implemented into clinical practice. Genomic testing of thyroid nodules to improve preoperative diagnosis has become an important component supporting decision-making in clinical care, reducing the need for diagnostic surgeries and improving accuracy of cancer risk assessment. In addition, a role for molecular testing of established thyroid cancers to assist in selection of therapeutic options for patients with advanced and/or progressive disease has been established. Research is ongoing to determine if molecular results should affect management of less aggressive forms of thyroid cancer earlier in clinical management. This review will outline the various commercial platforms for molecular diagnostics for nodules emphasizing their performance parameters and indications for use, as well as discuss the use of genomic analysis for progressive thyroid cancer and highlight opportunities for further research.
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Affiliation(s)
- Jennifer A Sipos
- Division of Endocrinology, Diabetes and Metabolism, The Ohio State University College of Medicine, Columbus, 43210, OH, USA
| | - Matthew D Ringel
- Division of Endocrinology, Diabetes and Metabolism, The Ohio State University College of Medicine, Co-leader, Cancer Biology Program, The Ohio State University Comprehensive Cancer Center, Columbus, 43210, OH, USA.
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Gild ML, Chan M, Gajera J, Lurie B, Gandomkar Z, Clifton-Bligh RJ. Risk stratification of indeterminate thyroid nodules using ultrasound and machine learning algorithms. Clin Endocrinol (Oxf) 2022; 96:646-652. [PMID: 34642976 DOI: 10.1111/cen.14612] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 09/02/2021] [Accepted: 09/21/2021] [Indexed: 12/17/2022]
Abstract
BACKGROUND Indeterminate thyroid nodules (Bethesda III) are challenging to characterize without diagnostic surgery. Auxiliary strategies including molecular analysis, machine learning models, and ultrasound grading with Thyroid Imaging, Reporting and Data System (TI-RADS) can help to triage accordingly, but further refinement is needed to prevent unnecessary surgeries and increase positive predictive values. DESIGN Retrospective review of 88 patients with Bethesda III nodules who had diagnostic surgery with final pathological diagnosis. MEASUREMENTS Each nodule was retrospectively scored through TI-RADS. Two deep learning models were tested, one previously developed and trained on another data set, mainly containing determinate cases and then validated on our data set while the other one trained and tested on our data set (indeterminate cases). RESULTS The mean TI-RADS score was 3 for benign and 4 for malignant nodules (p = .0022). Radiological high risk (TI-RADS 4,5) and low risk (TI-RADS 2,3) categories were established. The PPV for the high radiological risk category in those with >10 mm nodules was 85% (CI: 70%-93%). The NPV for low radiological risk in patients >60 years (mean age was 100% (CI: 83%-100%). The area under the curve (AUC) value of our novel classifier was 0.75 (CI: 0.62-0.84) and differed significantly from the chance-level (p < .00001). CONCLUSIONS Novel radiomic and radiologic strategies can be employed to assist with preoperative diagnosis of indeterminate thyroid nodules.
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Affiliation(s)
- Matti Lauren Gild
- Northern Clinical School, Faculty of Health and Medicine, University of Sydney, Australia
- Department of Endocrinology and Diabetes, Royal North Shore Hospital, Sydney, Australia
| | - Mico Chan
- Department of Radiology, Royal North Shore Hospital, Sydney, Australia
| | - Jay Gajera
- Department of Radiology, Royal North Shore Hospital, Sydney, Australia
| | - Brett Lurie
- Department of Radiology, Royal North Shore Hospital, Sydney, Australia
| | - Ziba Gandomkar
- Discipline of Clinical Imaging, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Roderick J Clifton-Bligh
- Northern Clinical School, Faculty of Health and Medicine, University of Sydney, Australia
- Department of Endocrinology and Diabetes, Royal North Shore Hospital, Sydney, Australia
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Nishino M, Mateo R, Kilim H, Feldman A, Elliott A, Shen C, Hasselgren PO, Wang H, Hartzband P, Hennessey JV. Repeat Fine Needle Aspiration Cytology Refines the Selection of Thyroid Nodules for Afirma Gene Expression Classifier Testing. Thyroid 2021; 31:1253-1263. [PMID: 33813868 PMCID: PMC8377518 DOI: 10.1089/thy.2020.0969] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Background: Molecular testing (MT) refines risk stratification for thyroid nodules that are indeterminate for cancer by fine needle aspiration (FNA) cytology. Criteria for selecting nodules for MT vary and remain largely untested, raising questions about the best strategy for maximizing the usefulness of MT while minimizing the harms of overtesting. We used a unique data set to examine the effects of repeat FNA cytology-based criteria for MT on management decisions and nodule outcomes. Methods: This was a study of adults (age 25-90 years; 281 women and 72 men) with cytologically indeterminate (Bethesda III/IV) thyroid nodules who underwent repeat FNA biopsy and Afirma Gene Expression Classifier (GEC) testing (N = 363 nodules from 353 patients) between June 2013 and October 2017 at a single institution, with follow-up data collected until December 2019. Subgroup analysis was performed based on classification of repeat FNA cytology. Outcomes of GEC testing, clinical/sonographic surveillance of unresected nodules, and histopathologic diagnoses of thyroidectomies were compared between three testing approaches: (i) Reflex (MT sent on the basis of the initial Bethesda III/IV FNA), (ii) SemiRestrictive (MT sent if repeat FNA is Bethesda I-IV), and (iii) Restrictive (MT sent only if repeat FNA is Bethesda III/IV) testing approaches. Results: Restricting MT to nodules that remain Bethesda III/IV on repeat FNA would have missed 4 low-risk cancers and 3 noninvasive follicular thyroid neoplasms with papillary-like nuclear features (NIFTP) (collectively 2% of the test population) but would have avoided diagnostic surgery for 42 benign nodules (12% of the test population). The Restrictive testing strategy was more specific (delta 0.126 confidence interval [CI 0.093 to 0.159] and 0.129 [CI 0.097 to 0.161], respectively) but less sensitive (delta -0.339 [CI -0.424 to -0.253] and -0.340 [CI -0.425 to -0.255], respectively) than the Reflex and SemiRestrictive approaches for detecting NIFTP or cancer. Conclusions: Repeat FNA cytology can guide the selection of cytologically indeterminate thyroid nodules that warrant MT. The Restrictive model of performing Afirma GEC only on nodules with two separate biopsies showing Bethesda III/IV cytology would reduce the rate of diagnostic surgery for histologically benign nodules while missing only rare low-risk tumors. Given the low but nontrivial risks of thyroidectomy, the higher specificity of the Restrictive testing approach disproportionately outweighs the potential harms.
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Affiliation(s)
- Michiya Nishino
- Department of Pathology; Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
- Address correspondence to: Michiya Nishino, MD, PhD, Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, 330 Brookline Avenue, Boston, MA 02215, USA
| | - Roselyn Mateo
- Division of Endocrinology, Department of Medicine; Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| | - Holly Kilim
- Division of Endocrinology, Department of Medicine; Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| | - Anna Feldman
- Division of Endocrinology, Department of Medicine; Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| | - Amanda Elliott
- Division of Endocrinology, Department of Medicine; Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| | - Changyu Shen
- Smith Center for Outcomes Research in Cardiology, Department of Medicine; Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| | - Per-Olof Hasselgren
- Department of Surgery, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| | - Helen Wang
- Department of Pathology; Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| | - Pamela Hartzband
- Division of Endocrinology, Department of Medicine; Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| | - James V. Hennessey
- Division of Endocrinology, Department of Medicine; Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
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Onken AM, VanderLaan PA, Hennessey JV, Hartzband P, Nishino M. Combined molecular and histologic end points inform cancer risk estimates for thyroid nodules classified as atypia of undetermined significance. Cancer Cytopathol 2021; 129:947-955. [PMID: 34314102 DOI: 10.1002/cncy.22489] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 06/09/2021] [Accepted: 06/11/2021] [Indexed: 12/21/2022]
Abstract
BACKGROUND Thyroid nodules classified as atypia of uncertain significance (AUS) on fine-needle aspiration cytology are heterogeneous. Prior studies reported a higher risk of noninvasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP)/cancer among AUS nodules that had cytologic (AUS-C) versus architectural (AUS-A) atypia; however, such studies were generally confined to resected cohorts, introducing bias into risk calculations. The authors hypothesized that combined histologic and molecular end points would permit clinically meaningful calculations of NIFTP/malignancy risk among AUS nodules. METHODS The study consisted of 279 thyroid nodules classified as AUS on initial fine-needle aspiration and tested by the Afirma Gene Expression Classifier (GEC) between June 2013 and October 2017. Results of GEC testing and histopathologic diagnoses were stratified by AUS classifiers. The AUS-A category was further subclassified as 1) hypocellular microfollicular or 2) cellular with mixed but predominantly microfollicular architecture. NIFTP/cancer risk was calculated for each subgroup, with the inclusion of unresected nodules that had benign GEC results as low-risk end points comparable to histologically benign nodules. RESULTS When only histologic end points were considered, there was no difference in NIFTP/cancer risk (25% vs 23%; P = .82). By using molecular and histologic end points, AUS cases with cytologic atypia trended toward higher NIFTP/cancer risk than AUS-A cases (14% vs 6%; P = .06). Furthermore, AUS-A cases showed a trend toward lower NIFTP/cancer risk for hypocellular microfollicular aspirates (3%) compared with cellular samples that had mixed/predominantly microfollicular architecture (13%; P = .18). CONCLUSIONS The inclusion of unresected benign GEC nodules in risk-of-malignancy calculations provides more accurate results, which may be helpful for informing patient management as well as quality improvement in the cytopathology laboratory.
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Affiliation(s)
- Allison M Onken
- Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
| | - Paul A VanderLaan
- Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
| | - James V Hennessey
- Division of Endocrinology, Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
| | - Pamela Hartzband
- Division of Endocrinology, Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
| | - Michiya Nishino
- Department of Pathology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts
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Patel SG, Carty SE, Lee AJ. Molecular Testing for Thyroid Nodules Including Its Interpretation and Use in Clinical Practice. Ann Surg Oncol 2021; 28:8884-8891. [PMID: 34275048 DOI: 10.1245/s10434-021-10307-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 05/31/2021] [Indexed: 01/09/2023]
Abstract
Despite advances in imaging and biopsy techniques, the management of thyroid nodules often remains a diagnostic and clinical challenge. In particular, patients with cytologically indeterminate nodules often undergo diagnostic thyroidectomy although only a minority of patients are found to have thyroid malignancy on final pathology. More recently, several molecular testing platforms have been developed to improve the stratification of cancer risk for patients with cytologically indeterminate thyroid nodules. Based on numerous studies demonstrating its accuracy, molecular testing has been incorporated as an important diagnostic adjunct in the management of indeterminate thyroid nodules in the National Comprehensive Cancer Network Guidelines as well as in the American Thyroid Association (ATA) and American Association of Endocrine Surgeons (AAES) guidelines. This overview describes the currently available molecular testing platforms and highlights the published data to date on the clinical validity and utility of molecular testing in the contemporary management of thyroid nodules.
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Affiliation(s)
- Snehal G Patel
- Department of Surgery, Division of General Surgery, Emory University, Atlanta, GA, USA
| | - Sally E Carty
- Department of Surgery, Division of Endocrine Surgery, University of Pittsburgh, Pittsburgh, PA, USA
| | - Andrew J Lee
- Department of Surgery, Division of Surgical Oncology, University of Pittsburgh, Pittsburgh, PA, USA.
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Ngo HTT, Nguyen TPX, Vu TH, Jung CK, Hassell L, Kakudo K, Vuong HG. Impact of Molecular Testing on the Management of Indeterminate Thyroid Nodules Among Western and Asian Countries: a Systematic Review and Meta-analysis. Endocr Pathol 2021; 32:269-279. [PMID: 32767256 DOI: 10.1007/s12022-020-09643-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/29/2020] [Indexed: 01/14/2023]
Abstract
Molecular testing has a potential to improve the management of patients with indeterminate thyroid nodules considered for surgery. This study examined the influence of molecular tests on the treatment of indeterminate nodules, particularly the differences between Western and Asian countries. Electronic databases including PubMed and Web of Science were searched for relevant articles from 2010 to March 2019. We computed meta-analysis of proportion and their 95% confidence intervals (CIs) utilizing the random-effect model. We used independent samples t test to compare the resection rate (RR), rate of malignancy (ROM), rate of preoperative molecular testing (RMT), and rate of positive test (RP) between subgroups. We included a total of 34 studies with 7976 indeterminate nodules. The multigene panel testing methods were exclusively used in the USA. Compared with the non-molecular era, molecular testing was associated with a significantly increased ROM (47.9% versus 32.1%; p = 0.001). The ROM of indeterminate nodules in Asian institutes was significantly higher than that in Western countries (75.3% versus 36.6%; p < 0.001, respectively). Institutes employing single-gene tests achieved a higher ROM (59.8% versus 37.9%; p = 0.013). Molecular testing is a promising method to tailor the clinical management for indeterminate thyroid FNA. Certain differences in routine thyroid cytopathology practice among the West and the East are still present. The combination of molecular testing and active surveillance enhances the accuracy of case selection for surgery in Asian countries.
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Affiliation(s)
- Hanh Thi Tuyet Ngo
- Department of Pathology, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, 700-000, Vietnam
| | | | - Trang Huyen Vu
- Department of Pathology, Oncology Hospital, Ho Chi Minh City, 700-000, Vietnam
| | - Chan Kwon Jung
- Department of Hospital Pathology, College of Medicine, The Catholic University of Korea, Seoul, 06591, Republic of Korea
| | - Lewis Hassell
- Department of Pathology, Oklahoma University Health Sciences Center, Oklahoma City, OK, 73104, USA
| | - Kennichi Kakudo
- Department of Pathology and Thyroid Disease Center, Izumi City General Hospital, Wake-cho 4-5-1, Izumi City, 594-0073, Japan
| | - Huy Gia Vuong
- Department of Pathology, Oklahoma University Health Sciences Center, Oklahoma City, OK, 73104, USA.
- Stephenson Cancer Center, Oklahoma University Health Sciences Center, Oklahoma City, OK, 73104, USA.
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Zhu CY, Donangelo I, Gupta D, Nguyen DT, Ochoa JE, Yeh MW, Livhits MJ. Outcomes of Indeterminate Thyroid Nodules Managed Nonoperatively after Molecular Testing. J Clin Endocrinol Metab 2021; 106:e1240-e1247. [PMID: 33394039 DOI: 10.1210/clinem/dgaa887] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Indexed: 01/27/2023]
Abstract
CONTEXT Molecular testing to refine the diagnosis of cytologically indeterminate thyroid nodules has become increasingly popular, but data on long-term durability of test results and the rate of delayed operation are limited. OBJECTIVE Determine the delayed rate of surgical resection in indeterminate nodules with benign/negative molecular testing and the risk of false-negative molecular test results. DESIGN Prospective follow-up of the Gene Expression Classifier vs Targeted Next-Generation Sequencing in the Management of Indeterminate Thyroid Nodules randomized controlled trial comparing the diagnostic test performance of Afirma Gene Expression Classifier and ThyroSeq v2. SETTING University of California, Los Angeles. PARTICIPANTS Patients who underwent thyroid biopsy with indeterminate (Bethesda III/IV) cytology (April 2016 to July 2017). INTERVENTION Ultrasound surveillance. MAIN OUTCOME MEASURE False-negative rate of molecular testing. RESULTS Of 95 indeterminate nodules with negative/benign molecular test results, 12 nodules underwent immediate resection (11 benign nodules, 1 noninvasive follicular thyroid neoplasm nodule with papillary-like nuclear features). Nonoperative management was pursued for 83 (87.4%) nodules. The median surveillance was 26.7 months. Ten nodules were resected during surveillance and malignancy was identified in 4 nodules (overall false-negative rate of 5.8%). In the 4 malignant nodules that underwent delayed operation, surgery was prompted by sonographic changes during surveillance. CONCLUSIONS The majority of indeterminate nodules with negative molecular testing have a stable clinical course over 3 years of follow-up, but our finding of a 6% false-negative rate highlights the importance of continuing sonographic surveillance. Long-term studies are needed to determine the optimal length of follow-up.
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Affiliation(s)
- Catherine Y Zhu
- Section of Endocrine Surgery, UCLA David Geffen School of Medicine, Los Angeles, CA, USA
| | - Ines Donangelo
- Division of Endocrinology, Diabetes, and Metabolism, UCLA David Geffen School of Medicine, Los Angeles, CA, USA
| | - Deepashree Gupta
- Division of Endocrinology, Diabetes, and Metabolism, UCLA David Geffen School of Medicine, Los Angeles, CA, USA
| | - Dalena T Nguyen
- Section of Endocrine Surgery, UCLA David Geffen School of Medicine, Los Angeles, CA, USA
| | - Joana E Ochoa
- Section of Endocrine Surgery, UCLA David Geffen School of Medicine, Los Angeles, CA, USA
| | - Michael W Yeh
- Section of Endocrine Surgery, UCLA David Geffen School of Medicine, Los Angeles, CA, USA
| | - Masha J Livhits
- Section of Endocrine Surgery, UCLA David Geffen School of Medicine, Los Angeles, CA, USA
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Zahid A, Shafiq W, Nasir KS, Loya A, Abbas Raza S, Sohail S, Azmat U. Malignancy rates in thyroid nodules classified as Bethesda categories III and IV; a subcontinent perspective. J Clin Transl Endocrinol 2021; 23:100250. [PMID: 33643850 PMCID: PMC7887641 DOI: 10.1016/j.jcte.2021.100250] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Revised: 01/18/2021] [Accepted: 01/19/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Bethesda category III and IV thyroid nodules fall in the indeterminate risk of malignancy category. These nodules have been a relatively elusive entity to manage as previous studies have shown a wide variation in malignancy rates in different regions and institutions across the world. However, data from the subcontinent with regards to this is scarce. AIM AND OBJECTIVE This study aimed to determine the characteristics and malignancy rates of cytology proven Bethesda Category III and IV thyroid nodules and its association with clinical, histopathological and laboratory variables, in the regional population. METHOD A retrospective search was performed on all patients with thyroid nodules who presented to this hospital, from January 2011 to September 2018. Patients who had cytology proven Bethesda category III and IV thyroid nodules that underwent surgery were included in the study. RESULTS Malignancy in Bethesda Category III and Bethesda Category IV thyroid nodules was 29.6% and 47.1%, respectively. There was no significant association determined between malignancy rate and various clinical, histopathological, and radiological characteristics. CONCLUSION The malignancy rates in Bethesda category III and IV thyroid nodules in this study are significantly higher than that initially suggested by the Bethesda consensus publication but is comparable to international data present.
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Affiliation(s)
- Adnan Zahid
- Internal Medicine Department, Shaukat Khanum Memorial Cancer Hospital and Research Centre
| | - Waqas Shafiq
- Internal Medicine Department, Shaukat Khanum Memorial Cancer Hospital and Research Centre
| | - Khawaja Shehryar Nasir
- Internal Medicine Department, Shaukat Khanum Memorial Cancer Hospital and Research Centre
| | - Asif Loya
- Pathology Department, Shaukat Khanum Memorial Cancer Hospital and Research Centre
| | - Syed Abbas Raza
- Internal Medicine Department, Shaukat Khanum Memorial Cancer Hospital and Research Centre
| | - Sara Sohail
- Internal Medicine Department, Shaukat Khanum Memorial Cancer Hospital and Research Centre
| | - Umal Azmat
- Internal Medicine Department, Shaukat Khanum Memorial Cancer Hospital and Research Centre
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12
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Yoon J, Lee E, Kang SW, Han K, Park VY, Kwak JY. Implications of US radiomics signature for predicting malignancy in thyroid nodules with indeterminate cytology. Eur Radiol 2021; 31:5059-5067. [PMID: 33459858 DOI: 10.1007/s00330-020-07670-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Revised: 11/16/2020] [Accepted: 12/23/2020] [Indexed: 12/13/2022]
Abstract
OBJECTIVES The purpose of this study was to evaluate the role of the radiomics score using US images to predict malignancy in AUS/FLUS and FN/SFN nodules. METHODS One hundred fifty-five indeterminate thyroid nodules in 154 patients who received initial US-guided FNA for diagnostic purposes were included in this retrospective study. A representative US image of each tumor was acquired, and square ROIs covering the whole nodule were drawn using the Paint program of Windows 7. Texture features were extracted by in-house texture analysis algorithms implemented in MATLAB 2019b. The LASSO logistic regression model was used to choose the most useful predictive features, and ten-fold cross-validation was performed. Two prediction models were constructed using multivariable logistic regression analysis: one based on clinical variables, and the other based on clinical variables with the radiomics score. Predictability of the two models was assessed with the AUC of the ROC curves. RESULTS Clinical characteristics did not significantly differ between malignant and benign nodules, except for mean nodule size. Among 730 candidate texture features generated from a single US image, 15 features were selected. Radiomics signatures were constructed with a radiomics score, using selected features. In multivariable logistic regression analysis, higher radiomics score was associated with malignancy (OR = 10.923; p < 0.001). The AUC of the malignancy prediction model composed of clinical variables with the radiomics score was significantly higher than the model composed of clinical variables alone (0.839 vs 0.583). CONCLUSIONS Quantitative US radiomics features can help predict malignancy in thyroid nodules with indeterminate cytology.
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Affiliation(s)
- Jiyoung Yoon
- Department of Radiology, Research Institute of Radiological Science, and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, South Korea
| | - Eunjung Lee
- Department of Computational Science and Engineering, Yonsei University, Seoul, South Korea
| | - Sang-Wook Kang
- Department of Surgery, Yonsei University, College of Medicine, Seoul, South Korea
| | - Kyunghwa Han
- Department of Radiology, Research Institute of Radiological Science, and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, South Korea
| | - Vivian Youngjean Park
- Department of Radiology, Research Institute of Radiological Science, and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, South Korea
| | - Jin Young Kwak
- Department of Radiology, Research Institute of Radiological Science, and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, South Korea.
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13
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Silaghi CA, Lozovanu V, Georgescu CE, Georgescu RD, Susman S, Năsui BA, Dobrean A, Silaghi H. Thyroseq v3, Afirma GSC, and microRNA Panels Versus Previous Molecular Tests in the Preoperative Diagnosis of Indeterminate Thyroid Nodules: A Systematic Review and Meta-Analysis. Front Endocrinol (Lausanne) 2021; 12:649522. [PMID: 34054725 PMCID: PMC8155618 DOI: 10.3389/fendo.2021.649522] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 04/13/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Molecular tests are being used increasingly as an auxiliary diagnostic tool so as to avoid a diagnostic surgery approach for cytologically indeterminate thyroid nodules (ITNs). Previous test versions, Thyroseq v2 and Afirma Gene Expression Classifier (GEC), have proven shortcomings in malignancy detection performance. OBJECTIVE This study aimed to evaluate the diagnostic performance of the established Thyroseq v3, Afirma Gene Sequencing Classifier (GSC), and microRNA-based assays versus prior iterations in ITNs, in light of "rule-in" and "rule-out" concepts. It further analyzed the impact of noninvasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP) reclassification and Bethesda cytological subtypes on the performance of molecular tests. METHODS Pubmed, Scopus, and Web of Science were the databases used for the present research, a process that lasted until September 2020. A random-effects bivariate model was used to estimate the summary sensitivity, specificity, positive (PLR) and negative likelihood ratios (NLR), and area under the curve (AUC) for each panel. The conducted sensitivity analyses addressed different Bethesda categories and NIFTP thresholds. RESULTS A total of 40 eligible studies were included with 7,831 ITNs from 7,565 patients. Thyroseq v3 showed the best overall performance (AUC 0.95; 95% confidence interval: 0.93-0.97), followed by Afirma GSC (AUC 0.90; 0.87-0.92) and Thyroseq v2 (AUC 0.88; 0.85-0.90). In terms of "rule-out" abilities Thyroseq v3 (NLR 0.02; 95%CI: 0.0-2.69) surpassed Afirma GEC (NLR 0.18; 95%CI: 0.10-0.33). Thyroseq v2 (PLR 3.5; 95%CI: 2.2-5.5) and Thyroseq v3 (PLR 2.8; 95%CI: 1.2-6.3) achieved superior "rule-in" properties compared to Afirma GSC (PLR 1.9; 95%CI: 1.3-2.8). Evidence for Thyroseq v3 seems to have higher quality, notwithstanding the paucity of studies. Both Afirma GEC and Thyroseq v2 performance have been affected by NIFTP reclassification. ThyGenNEXT/ThyraMIR and RosettaGX show prominent preliminary results. CONCLUSION The newly emerged tests, Thyroseq v3 and Afirma GSC, designed for a "rule-in" purpose, have been proved to outperform in abilities to rule out malignancy, thus surpassing previous tests no longer available, Thyroseq 2 and Afirma GEC. However, Thyroseq v2 still ranks as the best rule-in molecular test. SYSTEMATIC REVIEW REGISTRATION http://www.crd.york.ac.uk/PROSPERO, identifier CRD42020212531.
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Affiliation(s)
- Cristina Alina Silaghi
- Department of Endocrinology, “Iuliu Hatieganu” University of Medicine and Pharmacy Cluj-Napoca, Cluj-Napoca, Romania
| | - Vera Lozovanu
- Department of Endocrinology, “Iuliu Hatieganu” University of Medicine and Pharmacy Cluj-Napoca, Cluj-Napoca, Romania
- *Correspondence: Vera Lozovanu, ; Raluca Diana Georgescu,
| | - Carmen Emanuela Georgescu
- Department of Endocrinology, “Iuliu Hatieganu” University of Medicine and Pharmacy Cluj-Napoca, Cluj-Napoca, Romania
| | - Raluca Diana Georgescu
- International Institute for the Advanced Studies of Psychotherapy and Applied Mental Health, Babeş-Bolyai University, Cluj-Napoca, Romania
- *Correspondence: Vera Lozovanu, ; Raluca Diana Georgescu,
| | - Sergiu Susman
- Department of Morphological Sciences-Histology, “Iuliu Hatieganu” University of Medicine and Pharmacy, Cluj-Napoca, Romania
- Department of Pathology, IMOGEN Research Center, Cluj-Napoca, Romania
| | - Bogdana Adriana Năsui
- Department of Community Health, “Iuliu Hatieganu” University of Medicine and Pharmacy Cluj-Napoca, Cluj-Napoca, Romania
| | - Anca Dobrean
- International Institute for the Advanced Studies of Psychotherapy and Applied Mental Health, Babeş-Bolyai University, Cluj-Napoca, Romania
- Department of Clinical Psychology and Psychotherapy, Babeş-Bolyai University, Cluj-Napoca, Romania
| | - Horatiu Silaghi
- Department of Surgery V, “Iuliu Hatieganu” University of Medicine and Pharmacy Cluj-Napoca, Cluj-Napoca, Romania
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Endo M, Porter K, Long C, Azaryan I, Phay JE, Ringel MD, Sipos JA, Nabhan F. Features of Cytologically Indeterminate Molecularly Benign Nodules Treated With Surgery. J Clin Endocrinol Metab 2020; 105:5890166. [PMID: 32772084 PMCID: PMC7497819 DOI: 10.1210/clinem/dgaa506] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Accepted: 08/03/2020] [Indexed: 12/23/2022]
Abstract
BACKGROUND Most cytologically indeterminate thyroid nodules (ITNs) with benign molecular testing are not surgically removed. The data on clinical outcomes of these nodules are limited. METHODS We retrospectively analyzed all ITNs where molecular testing was performed either with the Afirma gene expression classifier or Afirma gene sequencing classifier between 2011 and 2018 at a single institution. RESULTS Thirty-eight out of 289 molecularly benign ITNs were ultimately resected. The most common reason for surgery was compressive symptoms (39%). In multivariable modeling, patients aged <40 years, nodules ≥3 cm, presence of an Afirma suspicious nodule other than the index nodule, and compressive symptoms were associated with higher surgery rates with hazard ratios for surgery of 3.5 (P < 0.001), 3.2 (P < 0.001), 16.8 (P < 0.001), and 7.31 (P < 0.001), respectively. Of resected nodules, 5 were malignant. False-negative rate (FNR) was 1.7%, presuming all unresected nodules were truly benign and 13.2% restricting analysis to resected cases. The FNR was significantly higher in nodules with a high-risk sonographic appearance for cancer (American Thyroid Association high-risk classification and American College of Radiology Thyroid Imaging Reporting and Data Systems score of 5) compared with nodules with all other sonographic categories (11.8% vs 1.1%; P = 0.03 and 11.1% vs 1.1%; P = 0.02, respectively). CONCLUSIONS Younger age, larger nodule size, presence of an Afirma suspicious nodule other than the index nodule, and compressive symptoms were associated with a higher rate of surgery. The FNR of benign Afirma was significantly higher in nodules with high-risk sonographic features.
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Affiliation(s)
- Mayumi Endo
- Division of Endocrinology, Diabetes, and Metabolism, The Ohio State University and Arthur G. James Cancer Center, Columbus, Ohio
- Division of Metabolism, Endocrinology, and Nutrition, University of Washington, Seattle, Washington
| | - Kyle Porter
- Center for Biostatistics, Department of Biomedical Informatics, The Ohio State University, Columbus, Ohio
| | - Clarine Long
- The Ohio State University, College of Medicine, Columbus, Ohio
| | - Irina Azaryan
- Division of Endocrinology, Diabetes, and Metabolism, The Ohio State University and Arthur G. James Cancer Center, Columbus, Ohio
| | - John E Phay
- Department of Surgery, The Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio
| | - Matthew D Ringel
- Division of Endocrinology, Diabetes, and Metabolism, The Ohio State University and Arthur G. James Cancer Center, Columbus, Ohio
| | - Jennifer A Sipos
- Division of Endocrinology, Diabetes, and Metabolism, The Ohio State University and Arthur G. James Cancer Center, Columbus, Ohio
| | - Fadi Nabhan
- Division of Endocrinology, Diabetes, and Metabolism, The Ohio State University and Arthur G. James Cancer Center, Columbus, Ohio
- Correspondence and Reprint Requests: Fadi Nabhan, MD, Division of Endocrinology, Diabetes and Metabolism, The Ohio State University, 1581 Dodd Drive, Columbus, OH 43210, USA. E-mail:
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Ooi LY, Nga ME. Atypia of undetermined significance/follicular lesion of undetermined significance: Asian vs. non-Asian practice, and the Singapore experience. Gland Surg 2020; 9:1764-1787. [PMID: 33224854 DOI: 10.21037/gs-20-555] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The Bethesda System for Reporting Thyroid Cytopathology has paved the way for comparisons of the practice of thyroid cytology in many different regions. However, there have been comparatively few studies documenting differences between Asian and non-Asian practice. Here, we aim to compare a few key parameters between the two regions, focusing on the indeterminate category of atypia of undetermined significance (AUS)/follicular lesion of undetermined significance (FLUS). We compared its incidence, resection rates (RRs), risk of malignancy (ROM), rate of repeat fine needle aspiration (rFNA), ROMs of cytomorphologic subcategories of nuclear atypia (AUS-N) vs. architectural atypia (AUS-A), and, finally, the incidence of papillary thyroid carcinoma (PTC) vs. follicular neoplasms (FNs) in resected AUS/FLUS cases in Asian and non-Asian regions. Where possible, these metrics were compared with the Singapore experience from a tertiary referral institution. While the incidence of AUS/FLUS was similar in both regions, we found geographical differences in the RRs and ROMs, which may reflect a higher collective threshold for surgery in Asian countries. However, both cohorts showed higher ROMs in the AUS-N subcategory as compared to the AUS-A subcategory, supporting the subclassification of the AUS/FLUS based on the presence of nuclear atypia. We also observed a higher incidence of AUS-N coupled with a higher incidence of PTC in resected AUS/FLUS nodules in Asian cohorts, while AUS-A and follicular-patterned neoplasms featured more prominently in the non-Asian cohorts. These incidences may account for the starkly different molecular approaches that we noted-in Asian (chiefly Korean and Chinese) centers, BRAF mutational analysis was favored, while gene panels and gene expression classifiers were more frequently applied in non-Asian centers (chiefly in the United States of America). Overall, the data from Singapore appears more closely aligned to non-Asian trends, despite its geographical location in Southeast Asia and its predominantly Asian population. We conclude that there is significant heterogeneity in the outcomes of the AUS/FLUS categories between and within regions, which is only partially explained by regional variations, and may also reflect different regional diagnostic and management practices. This highlights the importance of understanding the local context in the interpretation of indeterminate Bethesda categories, rather than adopting a "one-size fits all" approach.
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Affiliation(s)
- Li Yin Ooi
- Department of Pathology, National University Hospital, Singapore
| | - Min En Nga
- Department of Pathology, National University Hospital, Singapore
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16
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Vora A, Holt S, Haque W, Lingvay I. Long-Term Outcomes of Thyroid Nodule AFIRMA GEC Testing and Literature Review: An Institutional Experience. Otolaryngol Head Neck Surg 2020; 162:634-640. [DOI: 10.1177/0194599820911718] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Objective To assess outcomes of thyroid nodules analyzed with the AFIRMA gene expression classifier (GEC) and to perform a comprehensive literature review. Study Design Retrospective analysis of patients with thyroid nodules who underwent AFIRMA GEC testing at our institution. Settings A tertiary care academic institution. Subjects and Methods We collected clinical outcomes for 416 thyroid nodules that were analyzed with AFIRMA GEC between 2011 and 2015, including long-term follow-up through 2019. We performed a comprehensive literature review. Results The resection rate for nodules with “suspicious” GEC results was 85% with a positive predictive value of 37%. The resection rate for nodules with “benign” GEC results was 24% with a negative predictive value of 90%. The prevalence of thyroid malignancy in patients with thyroid nodules with indeterminate cytology at our institution during this timeframe was 41%, thus lowering our negative predictive value. Mean follow-up duration for unresected nodules was 27.8 months. Our resection rates for nodules with “benign” GEC were among the highest reported in the literature. Conclusions Molecular marker testing of thyroid nodules with indeterminate cytology can aid in the surgical decision making by obviating the need for diagnostic surgery and/or guiding extent of resection. Patients with other indications for surgery may not benefit from such costly testing.
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Affiliation(s)
- Amy Vora
- Department of Internal Medicine, Division of Endocrinology, University of Texas Southwestern Medical Center at Dallas, Dallas, Texas, USA
| | - Shelby Holt
- Department of Surgery, University of Texas Southwestern Medical Center at Dallas, Dallas, Texas, USA
| | | | - Ildiko Lingvay
- Department of Internal Medicine, Division of Endocrinology, University of Texas Southwestern Medical Center at Dallas, Dallas, Texas, USA
- Department of Clinical Sciences, University of Texas Southwestern Medical Center at Dallas, Dallas, Texas, USA
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Sultan R, Levy S, Sulanc E, Honasoge M, Rao SD. UTILITY OF AFIRMA GENE EXPRESSION CLASSIFIER FOR EVALUATION OF INDETERMINATE THYROID NODULES AND CORRELATION WITH ULTRASOUND RISK ASSESSMENT: SINGLE INSTITUTIONAL EXPERIENCE. Endocr Pract 2020; 26:543-551. [PMID: 31968199 DOI: 10.4158/ep-2019-0350] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Objective: We assessed our experience with Afirma gene expression classifier (GEC) combined with sono-graphic risk assessment, using both the American Thyroid Association (ATA) and the Thyroid Imaging Reporting and Data System (TI-RADS) in evaluating indeterminate thyroid nodules. Methods: We identified 98 patients with 101 nodules who had a second fine needle aspiration biopsy (FNA) between January 1, 2014, and September 30, 2017, and sent to Veracyte for cytopathology and subsequent Afirma GEC testing. A second FNA biopsy was performed if the initial cytopathology was either Bethesda III or IV (n = 94) or nondiagnostic (n = 7). We correlated cytopathology, histopathology, and Afirma GEC results with sonographic risk assessment using both the ATA system and TI-RADS. Results: The mean age of the cohort was 57.4 ± 12.3 years; 84% women and 60% white. Repeat FNA was benign in 51 of 101 nodules, and of the remaining 50 nodules, 18 (36%) were GEC-benign and 32 (64%) GEC-suspicious. Eighteen of the 32 GEC-suspicious nodules underwent surgery with the following results: 7 benign (39%), 1 follicular thyroid carcinoma (6%), 6 follicular variant of papillary thyroid cancer (33%), and 4 noninvasive follicular tumor with papillary-like nuclear features (22%). The malignancy rate among the surgical cohort was 39% (without noninvasive follicular tumor with papillary-like nuclear features [NIFTP]) and 61% (with NIFTP) and about 50% and 20% of this group scored in the high suspicion category by ATA and TR5 by TI-RADS, respectively. Conclusion: Afirma GEC was useful in avoiding surgery in one-third of indeterminate nodules and performed similarly to ATA and TI-RADS. However, the use of echogenicity in scoring may underestimate the risk of malignancy in patients with indeterminate nodules. Abbreviations: ATA = American Thyroid Association; AUS = Atypia of Undetermined Significance; FLUS = Follicular Lesion of Undetermined Significance; FN = follicular neoplasm; FNA = fine needle aspiration; FTC = follicular thyroid cancer; FVPTC = follicular variant of papillary thyroid cancer; GEC = Gene Expression Classifier; ND = nondiagnostic; NIFTP = noninvasive follicular tumor with papillary-like nuclear features; TI-RADS = Thyroid Imaging Reporting and Data System; TR = TI-RADS.
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18
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Rothberger GD, Cohen M, Sahay P, Szczepanczyk PT, Islam S. Method of detection of thyroid nodules: correlation with frequency of fine‐needle aspiration and malignancy rate. Head Neck 2019; 42:210-216. [DOI: 10.1002/hed.25984] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2019] [Revised: 09/10/2019] [Accepted: 09/25/2019] [Indexed: 02/05/2023] Open
Affiliation(s)
- Gary D. Rothberger
- Division of Endocrinology, Diabetes and MetabolismNYU Winthrop Hospital Mineola New York
| | - Melissa Cohen
- Department of MedicineNYU Winthrop Hospital Mineola New York
| | - Priya Sahay
- Department of MedicineNYU Winthrop Hospital Mineola New York
| | - Paula T. Szczepanczyk
- Division of Endocrinology, Diabetes and MetabolismNYU Winthrop Hospital Mineola New York
| | - Shahidul Islam
- Department of BiostatisticsNYU Winthrop Hospital Mineola New York
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Angell TE, Heller HT, Cibas ES, Barletta JA, Kim MI, Krane JF, Marqusee E. Independent Comparison of the Afirma Genomic Sequencing Classifier and Gene Expression Classifier for Cytologically Indeterminate Thyroid Nodules. Thyroid 2019; 29:650-656. [PMID: 30803388 DOI: 10.1089/thy.2018.0726] [Citation(s) in RCA: 62] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Background: For thyroid nodules with indeterminate cytology, the Afirma Gene Expression Classifier (GEC) identified benign nodules to reduce diagnostic surgery, though many nodules classified as suspicious still proved histopathologically benign. The current Afirma Genomic Sequencing Classifier (GSC) demonstrates improved specificity, suggesting more nodules will have a benign result (benign call rate [BCR]), but independent data are needed to confirm this in clinical practice. Methods: Retrospective analysis was performed of all Bethesda III or IV cytology thyroid nodules ≥1 cm tested with GEC (between January 1, 2011, and July 19, 2017) or GSC (between July 20, 2017, and August 27, 2018) at the authors' institution. Afirma testing was not performed reflectively for all nodules with Bethesda III or IV cytology, but rather was applied based on physician-patient decision making. Demographic, sonographic, and cytologic data were collected. The BCR for GEC- versus GSC-tested nodules was compared and further stratified by Bethesda classifications. Results: The study evaluated 600 nodules in 563 patients tested with either GEC (n = 486) or GSC (n = 114). The BCR was 233/486 (47.9%) for the GEC compared to 75/114 (65.8%) for the GSC (p = 0.0006). Hürthle-cell cytology was present in 99/486 (20.4%) nodules in the GEC group compared to 31/114 (27.2%) nodules in the GSC group (p = 0.28). The GSC BCR was significantly higher than the GEC BCR for Bethesda III nodules characterized by Hürthle cells (p = 0.006), but the BCRs were similar for nodules with architectural or cytologic atypia. In Bethesda IV nodules suspicious for follicular neoplasm, BCR for the GEC and GSC were similar (p = 0.68), but for cytology suspicious for Hürthle-cell neoplasm, the GSC BCR was 68.2% (15/22) compared to the GEC BCR of 16.4% (10/61; p < 0.0001). Positive predictive value in resected nodules with a suspicious result was 16/32 (50%) for GSC nodules and 75/221 (33.9%) for GEC nodules (p = 0.1). Conclusions: The higher BCR for the GSC compared to the GEC for indeterminate thyroid nodules, predominantly among nodules with Hürthle-cell cytology, will likely lead to further reduction in surgical management.
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Affiliation(s)
- Trevor E Angell
- 1 Thyroid Section, Division of Endocrinology, Diabetes, and Hypertension, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Howard T Heller
- 2 Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Edmund S Cibas
- 3 Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Justine A Barletta
- 3 Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Matthew I Kim
- 1 Thyroid Section, Division of Endocrinology, Diabetes, and Hypertension, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Jeffrey F Krane
- 3 Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Ellen Marqusee
- 1 Thyroid Section, Division of Endocrinology, Diabetes, and Hypertension, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
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Ali SZ, Siperstein A, Sadow PM, Golding AC, Kennedy GC, Kloos RT, Ladenson PW. Extending expressed RNA genomics from surgical decision making for cytologically indeterminate thyroid nodules to targeting therapies for metastatic thyroid cancer. Cancer Cytopathol 2019; 127:362-369. [PMID: 31017745 PMCID: PMC6618055 DOI: 10.1002/cncy.22132] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Revised: 03/12/2019] [Accepted: 03/14/2019] [Indexed: 12/13/2022]
Abstract
The Afirma Genomic Sequencing Classifier (GSC) is a rule‐out test for malignancy/noninvasive follicular thyroid neoplasms with papillary‐like nuclear features among patients with Bethesda category III/IV nodules, whereas the complimentary Xpression Atlas provides genomic insights from a curated panel of 511 genes among GSC suspicious and Bethesda category V/VI nodules. Together, they facilitate personalized treatment decisions based on genomic insights derived from the transcriptome of the biopsied target and extend the diagnostic and therapeutic reach of cytopathologists and fine‐needle aspiration biopsy sample collection.
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Affiliation(s)
- Syed Z Ali
- Department of Pathology, The Johns Hopkins Hospital, Baltimore, Maryland.,Department of Radiology, The Johns Hopkins Hospital, Baltimore, Maryland
| | - Allan Siperstein
- Department of Endocrine Surgery, Cleveland Clinic, Cleveland, Ohio
| | - Peter M Sadow
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Allan C Golding
- Department of Medicine, Florida International University, Memorial Healthcare System, Hollywood, Florida
| | - Giulia C Kennedy
- Department of Clinical Affairs, Veracyte Inc, South San Francisco, California.,Department of Medical Affairs, Veracyte Inc, South San Francisco, California.,Department of Research and Development, Veracyte Inc, South San Francisco, California
| | - Richard T Kloos
- Department of Medical Affairs, Veracyte Inc, South San Francisco, California
| | - Paul W Ladenson
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
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Abstract
The historical management approach for many patients with indeterminate thyroid nodule fine needle aspiration cytology is a diagnostic lobectomy or thyroidectomy. However, the majority of patients undergo surgery unnecessarily, because most are proven to have benign disease on histology. Molecular testing is a diagnostic tool that can be used to help guide the clinical management of thyroid nodules with indeterminate cytology results. Testing has evolved substantially over the last decade with significant advances in testing methodology and improvements in our understanding of the genetic basis of thyroid cancer.
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Affiliation(s)
- Sarah E Mayson
- Division of Endocrinology, Metabolism and Diabetes, University of Colorado School of Medicine, MS 8106, 12801 East 17th Avenue, Aurora, CO 80045, USA.
| | - Bryan R Haugen
- Division of Endocrinology, Metabolism and Diabetes, University of Colorado School of Medicine, MS 8106, 12801 East 17th Avenue, Aurora, CO 80045, USA
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