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Kang YJ, Stybayeya G, Lee JE, Hwang SH. Diagnostic Performance of ACR and Kwak TI-RADS for Benign and Malignant Thyroid Nodules: An Update Systematic Review and Meta-Analysis. Cancers (Basel) 2022; 14:cancers14235961. [PMID: 36497443 PMCID: PMC9740871 DOI: 10.3390/cancers14235961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 11/29/2022] [Accepted: 11/30/2022] [Indexed: 12/03/2022] Open
Abstract
(1) Background: To determine the optimal cut-off values of two risk stratification systems to discriminate malignant thyroid nodules and to compare the diagnostic performance; (2) Methods: True and false positive and negative data were collected, and methodological quality was assessed for forty-six studies involving 39,085 patients; (3) Results: The highest area under the receiver operating characteristic (ROC) curve (AUC) of ACR and Kwak TI-RADS were 0.875 and 0.884. Based on the optimal sensitivity and specificity, the highest accuracy values of ROC curves or diagnostic odds ratios (DOR) were taken as the cut-off values for TR4 (moderate suspicious) and 4B. The sensitivity, specificity, DOR, and AUC by ACR (TR4) and Kwak TI-RADS (4B) for malignancy risk stratification of thyroid nodules were 94.3% and 96.4%; 52.2% and 53.7%; 17.5185 and 31.8051; 0.786 and 0.884, respectively. There were no significant differences in diagnostic accuracy in any of the direction comparisons of the two systems; (4) Conclusions: ACR and Kwak TI-RADS had good diagnostic performances (AUCs > 85%). Although we determined the best cut-off values in individual risk stratification systems based on statistical assessment, clinicians can adjust the optimal cut-off value according to the clinical purpose of the ultrasonography because raising or lowering cut-points leads to reciprocal changes in sensitivity and specificity.
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Affiliation(s)
- Yun Jin Kang
- Department of Otolaryngology-Head and Neck Surgery, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 07345, Republic of Korea
| | - Gulnaz Stybayeya
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN 55902, USA
| | - Ju Eun Lee
- Department of Otolaryngology-Head and Neck Surgery, Bucheon Saint Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 14647, Republic of Korea
| | - Se Hwan Hwang
- Department of Otolaryngology-Head and Neck Surgery, Bucheon Saint Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 14647, Republic of Korea
- Correspondence: ; Tel.: +82-32-340-7044
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Botha M, Kisansa M, Greeff W. American College of Radiology Thyroid Imaging Reporting and Data System standardises reporting of thyroid ultrasounds. SA J Radiol 2020; 24:1804. [PMID: 32161675 PMCID: PMC7059442 DOI: 10.4102/sajr.v24i1.1804] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Accepted: 11/26/2019] [Indexed: 01/21/2023] Open
Abstract
Background Thyroid nodules are common, the majority benign. The small risk of malignancy leads to excessive workup. Thyroid ultrasound is essential for risk stratification and management guidance. Without an organised reporting guideline, reports do not add significant value to referring clinicians. The American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS) was developed to aid ultrasound reporting, lessen excessive biopsies and diagnose thyroid cancers. Objectives To standardise reporting of thyroid ultrasounds by utilising an organised reporting guideline based on ACR TI-RADS. Method Thyroid ultrasound reports generated by radiology registrars at an academic hospital were studied in two phases. In Phase 1, the reports were generated as free text, and in Phase 2, using a guideline based on ACR TI-RADS. The percentages of reports that described the maximum size, the five ACR TI-RADS features and a management recommendation were compared. Results A total of 130 reports were studied. Significant improvement was observed in the description of all five ACR TI-RADS categories (p < 0.0001) from Phase 1 to Phase 2. Of all the reports, 89% included a management recommendation. Reports including an ACR TI-RADS-based recommendation increased from 48% to 75% (p < 0.05). Recommendation for biopsy increased from 35.4% to 53.8% (p < 0.05). Conclusion Introduction of an organised reporting guideline based on ACR TI-RADS, standardised reporting of thyroid ultrasounds by increasing description of thyroid nodule features and ensuring appropriate management recommendations. This, in future, will prevent underdiagnosis of thyroid cancer and unnecessary workup of benign nodules.
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Affiliation(s)
- Mariska Botha
- Department of Health, Faculty of Radiology, Sefako Makgatho Health Sciences University, Pretoria, South Africa
| | - Margaret Kisansa
- Department of Health, Faculty of Radiology, Sefako Makgatho Health Sciences University, Pretoria, South Africa
| | - Wim Greeff
- Department of Health, Faculty of Radiology, Sefako Makgatho Health Sciences University, Pretoria, South Africa
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Large (≥3cm) thyroid nodules with benign cytology: Can Thyroid Imaging Reporting and Data System (TIRADS) help predict false-negative cytology? PLoS One 2017; 12:e0186242. [PMID: 29023564 PMCID: PMC5638398 DOI: 10.1371/journal.pone.0186242] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2017] [Accepted: 09/27/2017] [Indexed: 11/22/2022] Open
Abstract
Background There is controversy about the accuracy of the fine-needle aspiration (FNA) cytology results in large sized thyroid nodules. Our aim was to evaluate the false-negative rate of FNA for large thyroid nodules and the usefulness of the Thyroid Imaging Reporting and Data System (TIRADS) in predicting false-negative cytology for large thyroid nodules with benign cytology. Methods 632 thyroid nodules larger than or equal to 3cm in size with subsequent benign cytology on US-guided FNA were included. US features of internal composition, echogenicity, margin, calcifications, and shape were evaluated, and nodules were classified according to TIRADS. TIRADS category 3 included nodules without any of the following suspicious features:solidity, hypoechogenicity or marked hypoechogenicity, microlobulated or irregular margins, microcalcifications, and taller-than-wide shape. Category 4a, 4b, 4c, and 5 were assigned to nodules showing one, two, three or four, or five suspicious US features, respectively. US features associated with malignancy for these lesions were analyzed and malignancy risk according to TIRADS was calculated. Results Of the 632 lesions, 23 lesions(3.6%) were malignant and 609(96.4%) were benign, suggesting a 3.6% false-negative rate for FNA cytology. Of the 23 malignant lesions, final pathology was mainly follicular carcinoma minimally invasive(65.2%, 15/23) and the follicular variant of papillary carcinoma(26.1%, 6/23). The malignancy risks of categories 3, 4a, 4b, and 4c nodules were 0.9%, 4.6%, 10.0%, and 11.8%, respectively. Conclusion Large thyroid nodules with benign cytology had a relatively high false-negative risk of 3.6% and TIRADS was helpful in predicting false-negative cytology for these lesions.
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He YP, Xu HX, Zhao CK, Sun LP, Li XL, Yue WW, Guo LH, Wang D, Ren WW, Wang Q, Qu S. Cytologically indeterminate thyroid nodules: increased diagnostic performance with combination of US TI-RADS and a new scoring system. Sci Rep 2017; 7:6906. [PMID: 28761147 PMCID: PMC5537223 DOI: 10.1038/s41598-017-07353-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Accepted: 06/27/2017] [Indexed: 01/10/2023] Open
Abstract
To investigate the diagnostic performance of combination of ultrasound (US) thyroid imaging reporting and data system (TI-RADS) and a new US scoring system for diagnosing thyroid nodules (TNs) with indeterminate results (Bethesda categories III, IV and V) on fine-needle aspiration (FNA) cytology. 453 patients with 453 cytologically indeterminate TNs were included in this study. Multivariate analyses were performed to construct the scoring system. The diagnostic performances of TI-RADS and the combined method were evaluated and compared. Multivariate analyses revealed that marked hypoechogenicity, taller than wide shape and absence of halo sign were independent predictors for malignancy in cytologically indeterminate TNs. Scoring system was thereafter defined as follows: risk score (RS) = 3.2 x (if marked hypoechogenicity) + 2.8 x (if taller than wide shape) + 1.3 x (if absence of halo sign). Compared with TI-RADS alone, the areas under the receiver operating characteristic curves (AUC), specificity, accuracy and positive predictive value (PPV) of the combined method increased significantly with 0.731 versus 0.569, 48.5% versus 14.1%, 76.2% versus 62.3%, and 70.9% versus 59.9%, respectively (all P < 0.05). The combination of TI-RADS and new US scoring system showed superior diagnostic performances in predicting malignant TNs with indeterminate FNA cytology results in comparison with TI-RADS alone.
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Affiliation(s)
- Ya-Ping He
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Shanghai Center for Thyroid Diseases, Shanghai, 200072, China
| | - Hui-Xiong Xu
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China. .,Thyroid Institute, Tongji University School of Medicine, Shanghai, 200072, China. .,Shanghai Center for Thyroid Diseases, Shanghai, 200072, China.
| | - Chong-Ke Zhao
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Shanghai Center for Thyroid Diseases, Shanghai, 200072, China
| | - Li-Ping Sun
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Shanghai Center for Thyroid Diseases, Shanghai, 200072, China
| | - Xiao-Long Li
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Shanghai Center for Thyroid Diseases, Shanghai, 200072, China
| | - Wen-Wen Yue
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Shanghai Center for Thyroid Diseases, Shanghai, 200072, China
| | - Le-Hang Guo
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Shanghai Center for Thyroid Diseases, Shanghai, 200072, China
| | - Dan Wang
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Shanghai Center for Thyroid Diseases, Shanghai, 200072, China
| | - Wei-Wei Ren
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Shanghai Center for Thyroid Diseases, Shanghai, 200072, China
| | - Qiao Wang
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Shanghai Center for Thyroid Diseases, Shanghai, 200072, China
| | - Shen Qu
- Thyroid Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Shanghai Center for Thyroid Diseases, Shanghai, 200072, China.,Department of Endocrinology & Metabolism, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China
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