1
|
Sparano C, Puccioni M, Adornato V, Zago E, Fibbi B, Badii B, Bencini L, Mannelli G, Vezzosi V, Maggi M, Petrone L. Improving the TIR3B oncological stratification: try to bridge the gap through a comprehensive presurgical algorithm. J Endocrinol Invest 2024; 47:633-643. [PMID: 37736856 PMCID: PMC10904402 DOI: 10.1007/s40618-023-02182-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 08/18/2023] [Indexed: 09/23/2023]
Abstract
PURPOSE Indeterminate cytology still puzzles clinicians, due to its wide range of oncological risks. According to the Italian SIAPEC-IAP classification, TIR3B cytology holds up to 30% of thyroid cancer, which justifies the surgical indication, even if more than half of cases do not result in a positive histology. The study aim is to identify potential clinical, ultrasound or cytological features able to improve the surgical indication. METHODS Retrospective analysis. A consecutive series of TIR3B nodules referred to the Endocrine Unit of Careggi Hospital from 1st May 2014 to 31st December 2021 was considered for the exploratory analysis (Phase 1). Thereafter, a smaller confirmatory sample of consecutive TIR3B diagnosed and referred to surgery from 1st January 2022 to 31st June 2022 was considered to verify the algorithm (Phase 2). The main clinical, ultrasound and cytological features have been collected. A comprehensive stepwise logistic regression was applied to build a prediction algorithm. The histological results represented the final outcome. RESULTS Of 599 TIR3B nodules referred to surgery, 451 cases were included in the exploratory analysis. A final score > 14.5 corresponded to an OR = 4.98 (95% CI 3.24-7.65, p < 0.0001) and showed a PPV and NPV of 57% and 79%, respectively. The Phase 2 analysis on a confirmatory sample of 58 TIR3B cytology confirmed that a threshold of 14.5 points has a comparable PPV and NPV of 53% and 80%, respectively. CONCLUSIONS A predictive algorithm which considers the main clinical, US and cytological features can significantly improve the oncological stratification of TIR3B cytology.
Collapse
Affiliation(s)
- C Sparano
- Endocrinology Unit, Department of Experimental and Clinical Biomedical Sciences 'Mario Serio', University of Florence, Florence, Italy
| | - M Puccioni
- Endocrinology Unit, Department of Experimental and Clinical Biomedical Sciences 'Mario Serio', University of Florence, Florence, Italy
| | - V Adornato
- Endocrinology Unit, Department of Experimental and Clinical Biomedical Sciences 'Mario Serio', University of Florence, Florence, Italy
| | - E Zago
- Endocrinology Unit, Department of Experimental and Clinical Biomedical Sciences 'Mario Serio', University of Florence, Florence, Italy
| | - B Fibbi
- Endocrinology Unit, Medical-Geriatric Department, Careggi University Hospital, Viale Pieraccini 18, 50139, Florence, Italy
| | - B Badii
- Unit of Endocrine Surgery, Careggi University Hospital, Florence, Italy
| | - L Bencini
- Division of General Surgery, Department of Oncology and Robotic Surgery, Careggi University Hospital, Florence, Italy
| | - G Mannelli
- Head and Neck Oncology and Robotic Surgery, Department of Experimental and Clinical Medicine, University of Florence, 50134, Florence, Italy
| | - V Vezzosi
- Department of Histopathology and Molecular Diagnostics, Careggi University Hospital, Florence, Italy
| | - M Maggi
- Endocrinology Unit, Department of Experimental and Clinical Biomedical Sciences 'Mario Serio', University of Florence, Florence, Italy
- Consorzio I.N.B.B, 00136, Rome, Italy
| | - L Petrone
- Endocrinology Unit, Medical-Geriatric Department, Careggi University Hospital, Viale Pieraccini 18, 50139, Florence, Italy.
| |
Collapse
|
2
|
Xing Z, Qiu Y, Zhu J, Su A, Wu W. Diagnostic performance of ultrasound risk stratification systems on thyroid nodules cytologically classified as indeterminate: a systematic review and meta-analysis. Ultrasonography 2023; 42:518-531. [PMID: 37697824 PMCID: PMC10555695 DOI: 10.14366/usg.23055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 06/15/2023] [Accepted: 06/18/2023] [Indexed: 09/13/2023] Open
Abstract
PURPOSE Ultrasound (US) risk stratification systems (RSSs) are increasingly being utilized for the optimal management of thyroid nodules, including those with indeterminate cytology. The goal of this study was to evaluate the category-based diagnostic performance of US RSSs in identifying malignancy in indeterminate nodules. METHODS This systematic review and meta-analysis was registered on PROSPERO (CRD42021266195). PubMed, EMBASE, and Web of Science were searched through December 1, 2022. Original articles reporting data on the performance of US RSSs for indeterminate nodules were included. The numbers of nodules classified as true negative, true positive, false negative, and false positive were extracted. RESULTS Thirty-three studies evaluating 7,225 indeterminate thyroid nodules were included. The diagnostic accuracy was quantitatively synthesized using a Bayesian bivariate model based on the integrated nested Laplace approximation in R. For the intermediate- to high-risk category, the sensitivity levels of the American College of Radiology, the American Thyroid Association, the European Thyroid Association, the Korean Thyroid Association/Korean Society of Thyroid Radiology, and Kwak et al. were found to be 0.80, 0.72, 0.76, 0.96, and 0.97, respectively. The corresponding specificity measurements were 0.36, 0.50, 0.49, 0.28, and 0.17. Furthermore, for the high-risk category, the sensitivity values were 0.40, 0.46, 0.55, 0.47, and 0.10, while the specificity levels were 0.91, 0.90, 0.71, 0.91, and 0.99, respectively. CONCLUSION The overall diagnostic performance of the US RSSs was moderate in the differentiation of indeterminate nodules.
Collapse
Affiliation(s)
- Zhichao Xing
- Center of Thyroid and Parathyroid Surgery, West China Hospital, Sichuan University, Chengdu, China
- Laboratory of Thyroid and Parathyroid Disease, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Yuxuan Qiu
- Ultrasound Department, West China Hospital, Sichuan University, Chengdu, China
| | - Jingqiang Zhu
- Center of Thyroid and Parathyroid Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Anping Su
- Center of Thyroid and Parathyroid Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Wenshuang Wu
- Center of Thyroid and Parathyroid Surgery, West China Hospital, Sichuan University, Chengdu, China
- Laboratory of Thyroid and Parathyroid Disease, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| |
Collapse
|
3
|
Tang J, Ma J, Xi X, Wang L, Li H, Huo S, Zhang B. Real-life utility of five-gene panel test in preoperative thyroid fine-needle aspiration biopsy: a large cohort of 740 patients study. Endocrine 2022; 80:552-562. [PMID: 36542267 DOI: 10.1007/s12020-022-03286-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 12/11/2022] [Indexed: 12/24/2022]
Abstract
PURPOSE Fine-needle aspiration (FNA) biopsy is an effective method to discriminate malignant thyroid nodules but reaches indeterminate results in approximately 30% of cases. Molecular testing can improve the diagnostic accuracy of FNA. This study aimed to investigate the real-life utility of the five-gene panel testing in thyroid FNAs. METHODS 759 thyroid nodules from 740 patients under FNAs were retrospectively enrolled. Gene mutation information and clinical parameters, including age, gender, tumor size, and lymph node metastasis, were respectively recorded. Cytological results were classified based on The Bethesda System for Reporting Thyroid Cytopathology (TBSRTC). We analyzed mutational hotspots in BRAF, KRAS, NRAS, HRAS, and TERT genes from FNA specimens. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy were calculated to assess diagnostic performance. RESULTS We identified 549 five-gene mutations in 759 nodules (72.3%), and the mutation frequency increased from the lower TBSRTC category to the upper category. BRAF.p.V600E showed the highest mutation incidence (71.3%) in the five-gene panel, correlated with the small to medium diameter (p = 0.008, p = 0.012) and high cytological categories (p < 0.001). The sensitivity, specificity, PPV, NPV, and accuracy of the combination of FNA cytology and five-gene detection were 96.83%, 100%, 100%, 42.86%, and 96.90%, respectively. CONCLUSIONS The mutation frequency of the five-gene panel is 72.3% in thyroid FNAs. BRAF.p.V600E has the highest alteration rate, which is closely associated with tumor size and cytological results. The five-gene panel can improve the sensitivity and accuracy of FNA cytology, which may represent a valid adjunct technique in distinguishing thyroid nodules.
Collapse
Affiliation(s)
- Jiajia Tang
- Department of Ultrasound, China-Japan Friendship Hospital, Beijing, 100029, China
- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Jiaojiao Ma
- Department of Ultrasound, China-Japan Friendship Hospital, Beijing, 100029, China
| | - Xuehua Xi
- Department of Ultrasound, China-Japan Friendship Hospital, Beijing, 100029, China
| | - Liangkai Wang
- Department of Ultrasound, China-Japan Friendship Hospital, Beijing, 100029, China
- Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing, 100029, China
| | - Huilin Li
- Department of Ultrasound, China-Japan Friendship Hospital, Beijing, 100029, China
- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Shirui Huo
- Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Bo Zhang
- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
- Department of Ultrasound, China-Japan Friendship Hospital, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine of Chinese Academy of Medical Sciences, Beijing, 100029, China.
| |
Collapse
|
4
|
Trimboli P, Ferrarazzo G, Cappelli C, Piccardo A, Castellana M, Barizzi J. Thyroid Nodules with Indeterminate FNAC According to the Italian Classification System: Prevalence, Rate of Operation, and Impact on Risk of Malignancy. An Updated Systematic Review and Meta-analysis. Endocr Pathol 2022; 33:457-471. [PMID: 36044162 PMCID: PMC9712406 DOI: 10.1007/s12022-022-09729-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/16/2022] [Indexed: 11/27/2022]
Abstract
A thyroid nodule classified as indeterminate on fine-needle aspiration cytology (FNAC), hereafter referred to as an indeterminate thyroid nodule (ITN), represents a clinical dilemma. The Italian Consensus for the Classification and Reporting of Thyroid Cytology (ICCRTC) divides ITNs into low- and high-risk categories (i.e., TIR3A and TIR3B, respectively) to better manage patients. This study aimed to achieve high-evidence estimates of the prevalence, rate of operation, and risk of malignancy of ITNs, including TIR3A and TIR3B ITNs. This systematic review was conducted according to MOOSE to retrieve all original studies citing ICCRTC. The last search was performed in February 2022. The risk of bias of the included studies was assessed. Separate proportion meta-analyses were performed with a random-effect model using OpenMeta[Analyst]. The online search processed 271 studies, and 33 were finally considered. First, the cancer prevalence among ITNs was 32.4%. Second, the cancer prevalence among TIR3As was 12.4%, with heterogeneity (I2 90%) explained by a linear correlation between sample size and cancer rate (p = 0.009). Third, the cancer prevalence among TIR3Bs was 44.4%, with heterogeneity (I2 75%) explained by the inverse correlation between sample size and cancer rate (p = 0.031). Fourth, the prevalence of ITNs, TIR3A, and TIR3B among FNACs was 29.6%, 12.6%, and 12.9%, respectively, with sample size and TIR3B prevalence being inversely correlated (p = 0.04). Fifth, the operation rates of ITNs, TIR3A, and TIR3B were 54.3%, 48.3%, and 75.2%, respectively, and the sample size and TIR3A operation rate were inversely correlated (p = 0.010). These data strongly support the division of ITNs into low- and high-risk subcategories. Importantly for clinical practice, the cancer rate among ITNs is significantly influenced by the study sample size.
Collapse
Affiliation(s)
- Pierpaolo Trimboli
- Servizio Di Endocrinologia E Diabetologia, Ente Ospedaliero Cantonale (EOC), Bellinzona, Switzerland.
- Facoltà Di Scienze Biomediche, Università Della Svizzera Italiana (USI), Lugano, Switzerland.
| | | | - Carlo Cappelli
- Department of Clinical and Experimental Sciences, SSD Medicina Ad Indirizzo Endocrino-Metabolico, University of Brescia, ASST Spedali Civili Di Brescia, Brescia, Italy
| | - Arnoldo Piccardo
- Struttura Complessa Di Medicina Nucleare, E.O. Ospedali Galliera, Genoa, Italy
| | - Marco Castellana
- Ambulatorio Di Endocrinologia E Diabetologia, Poliambulatorio Di Monopoli, Azienda Sanitaria Locale Bari, Monopoli, Italy
| | - Jessica Barizzi
- Servizio Di Citopatologia, Istituto Cantonale Di Patologia, Locarno, Switzerland
| |
Collapse
|
5
|
Figge JJ, Gooding WE, Steward DL, Yip L, Sippel RS, Yang SP, Scheri RP, Sipos JA, Mandel SJ, Mayson SE, Burman KD, Folek JM, Haugen BR, Sosa JA, Parameswaran R, Tan WB, Nikiforov YE, Carty SE. Do Ultrasound Patterns and Clinical Parameters Inform the Probability of Thyroid Cancer Predicted by Molecular Testing in Nodules with Indeterminate Cytology? Thyroid 2021; 31:1673-1682. [PMID: 34340592 PMCID: PMC8917891 DOI: 10.1089/thy.2021.0119] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Background: Molecular testing (MT) is commonly used to refine cancer probability in thyroid nodules with indeterminate cytology. Whether or not ultrasound (US) patterns and clinical parameters can further inform the risk of thyroid cancer in nodules predicted to be positive or negative by MT remains unknown. The aim of this study was to test if clinical parameters, including patient age, sex, nodule size (by US), Bethesda category (III, IV, V), US pattern (American Thyroid Association [ATA] vs. American College of Radiology Thyroid Image Reporting and Data System [TI-RADS] systems), radiation exposure, or family history of thyroid cancer can modify the probability of thyroid cancer or noninvasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP) predicted by MT. Methods: We studied 257 thyroid nodules in 232 patients from 10 study centers with indeterminate fine needle aspiration cytology and informative MT results using the ThyroSeq v3 genomic classifier (TSv3). Univariate and multivariate logistic regression was used for data analysis. Results: The presence of cancer/NIFTP was associated with positive TSv3 results (odds ratio 61.39, p < 0.0001). On univariate regression, patient sex, age, and Bethesda category were associated with cancer/NIFTP probability (p < 0.05 for each). Although ATA (p = 0.1211) and TI-RADS (p = 0.1359) US categories demonstrated positive trends, neither was significantly associated with cancer/NIFTP probability. A multivariate regression model incorporating the four most informative non-MT covariates (sex, age, Bethesda category, and ATA US pattern; Model No. 1) yielded a C index of 0.653; R2 = 0.108. When TSv3 was added to Model number 1, the C index increased to 0.888; R2 = 0.572. However, age (p = 0.341), Bethesda category (p = 0.272), and ATA US pattern (p = 0.264) were nonsignificant, and other than TSv3 (p < 0.0001), male sex was the only non-MT parameter that potentially contributed to cancer/NIFTP risk (p = 0.095). The simplest and most efficient clinical model (No. 3) incorporated TSv3 and sex (C index = 0.889; R2 = 0.588). Conclusions: In this multicenter study of thyroid nodules with indeterminate cytology and MT, neither the ATA nor TI-RADS US scoring systems further informed the risk of cancer/NIFTP beyond that predicted by TSv3. Although age and Bethesda category were associated with cancer/NIFTP probability on univariate analysis, in sequential nomograms they provided limited incremental value above the high predictive ability of TSv3. Patient sex may contribute to cancer/NIFTP risk in thyroid nodules with indeterminate cytology.
Collapse
Affiliation(s)
- James J. Figge
- Diabetes & Endocrine Care, St. Peter's Health Partners/Trinity Health, Rensselaer, New York, USA
- Address correspondence to: James J. Figge, MD, MBA, Diabetes & Endocrine Care, St. Peter's Health Partners/Trinity Health, 279 Troy Road, Rensselaer, NY 12144, USA
| | - William E. Gooding
- Biostatistics Facility, UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania, USA
| | - David L. Steward
- Department of Otolaryngology, Head and Neck Surgery, University of Cincinnati Medical Center, Cincinnati, Ohio, USA
| | - Linwah Yip
- Division of Endocrine Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Rebecca S. Sippel
- Division of Endocrine Surgery, University of Wisconsin, Madison, Wisconsin, USA
| | - Samantha Peiling Yang
- Endocrinology Division, Department of Medicine, National University Hospital, Singapore, Singapore
- Endocrinology Division, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Randall P. Scheri
- Section of Endocrine Surgery, Department of Surgery, Duke University, Durham, North Carolina, USA
| | - Jennifer A. Sipos
- Division of Endocrinology, Diabetes, and Metabolism, Ohio State University School of Medicine, Columbus, Ohio, USA
| | - Susan J. Mandel
- Division of Endocrinology, Diabetes and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Sarah E. Mayson
- Division of Endocrinology, Metabolism and Diabetes, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Kenneth D. Burman
- Endocrinology Section, Department of Medicine, MedStar Washington Hospital Center, Washington, District of Columbia, USA
| | | | - Bryan R. Haugen
- Division of Endocrinology, Metabolism and Diabetes, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Julie A. Sosa
- Department of Surgery, University of California San Francisco, San Francisco, California, USA
| | - Rajeev Parameswaran
- Division of Endocrine Surgery, Department of Surgery, National University Hospital, Singapore, Singapore
- Division of Endocrine Surgery, Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Wee Boon Tan
- Division of Endocrine Surgery, Department of Surgery, National University Hospital, Singapore, Singapore
- Division of Endocrine Surgery, Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yuri E. Nikiforov
- Department of Pathology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Sally E. Carty
- Division of Endocrine Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Sally E. Carty, MD, Division of Endocrine Surgery, University of Pittsburgh, 101 Kauffmann, 3471 Fifth Avenue, Pittsburgh, PA 15213, USA
| |
Collapse
|