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Lee B, Na DG, Kim JH. Malignancy risk stratification and subcategorization of K-TIRADS intermediate suspicion thyroid nodules: a retrospective multicenter study. Ultrasonography 2024; 43:132-140. [PMID: 38310871 PMCID: PMC10915116 DOI: 10.14366/usg.23203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 12/11/2023] [Accepted: 12/12/2023] [Indexed: 02/06/2024] Open
Abstract
PURPOSE This study aimed to develop the ultrasonography (US) criteria for risk stratification of the Korean Thyroid Imaging Reporting and Data System (K-TIRADS) 4 nodules, and to evaluate the diagnostic yield of a modified biopsy criterion in a multicenter cohort. METHODS In total, 1,542 K-TIRADS 4 nodules (≥1 cm) were included in the study. US criteria for the subcategorization of K-TIRADS 4 nodules were developed based on high-risk US features. The diagnostic yields and false referral rates of biopsy criterion 1 (size cut-off of 1 cm), biopsy criterion 2 (size cut-off of 1.5 cm), and modified biopsy criterion 3 (size cut-off of 1 cm for K-TIRADS 4B and 1.5 cm for K-TIRADS 4A) were evaluated. RESULTS The five high-risk US features (solid composition, marked hypoechogenicity, macrocalcification, punctate echogenic foci, and irregular margin) independently increased the malignancy risk of the K-TIRADS 4 nodules (P<0.001). The K-TIRADS 4 nodules could be subcategorized into higher- and lower-risk subcategories according to the number of high-risk US features: K-TIRADS 4B (≥2 US features) and K-TIRADS 4A (≤1 US feature). The modified biopsy criterion increased the diagnostic yield by 7.8% compared with criterion 2 and reduced the false referral rate by 15.3% compared with criterion 1 (P<0.001). CONCLUSION The K-TIRADS 4 nodules were subcategorized as K-TIRADS 4B and K-TIRADS 4A based on high-risk US features. The modified biopsy criterion 3 showed a similar diagnostic yield and reduced false referral rate compared to criterion 1.
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Affiliation(s)
- Boeun Lee
- Department of Radiology, Ewha Womans University Seoul Hospital, Ewha Womans University College of Medicine, Seoul, Korea
| | - Dong Gyu Na
- Department of Radiology, Gangneung Asan Hospital, University of Ulsan College of Medicine, Gangneung, Korea
| | - Ji-hoon Kim
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
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Petersen M, Schenke SA, Seifert P, Stahl AR, Görges R, Grunert M, Klemenz B, Kreissl MC, Zimny M. Correct and Incorrect Recommendations for or against Fine Needle Biopsies of Hypofunctioning Thyroid Nodules: Performance of Different Ultrasound-based Risk Stratification Systems. Nuklearmedizin 2024; 63:21-33. [PMID: 37871628 DOI: 10.1055/a-2178-6739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
PURPOSE To evaluate the recommendations for or against fine needle biopsy (FNB) of hypofunctioning thyroid nodules (TNs) using of five different Ultrasound (US) -based risk stratification systems (RSSs). METHODS German multicenter study with 563 TNs (≥ 10 mm) in 534 patients who underwent thyroid US and surgery. All TNs were evaluated with ACR TI-RADS, EU-TIRADS, ATA, K-TIRADS 2016 and modified K-TIRADS 2021. A correct recommendation was defined as: malignant TN with recommendation for FNB (appropriate) or benign TN without recommendation for FNB (avoided). An incorrect recommendation was defined as: malignant TN without recommendation for FNB (missed) or benign TN with recommendation for FNB (unnecessary). RESULTS ACR TI-RADS demonstrated the highest rate of correct (42.3 %) and lowest rate of incorrect recommendations (57.7 %). The other RRSs showed similar results for correct (26.5 %-35.7 %) and incorrect (64.3 %-73.5 %) recommendations. ACR TI-RADS demonstrated the lowest rate of unnecessary (73.4 %) and the highest rate of appropriate (26.6 %) FNB recommendation. For other RSSs, the rates of unnecessary and appropriate FNB were between 75.2 %-77.1 % and 22.9 %-24.8 %. The lowest rate of missed FNB (14.7 %) and the highest rate of avoided FNB (85.3 %) was found for ACR TI-RADS. For the other RSSs, the rates of missed and avoided FNB were between 17.8 %-26.9 % and 73.1 %-82.2 %. When the size cutoff was disregarded, an increase of correct recommendations and a decrease of incorrect recommendations was observed for all RSSs. CONCLUSION The RSSs vary in their ability to correctly recommend for or against FNB. An understanding of the impact of nodule size cutoffs seems necessary for the future of TIRADS.
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Affiliation(s)
- Manuela Petersen
- Department of General, Visceral, Vascular and Transplant Surgery, University Hospital Magdeburg, Germany
| | - Simone A Schenke
- Department and Institute of Nuclear Medicine, Hospital Bayreuth, Germany
- Division of Nuclear Medicine, Department of Radiology and Nuclear Medicine, University Hospital Magdeburg, Germany
| | - Philipp Seifert
- Clinic of Nuclear Medicine, University Hospital Jena, Germany
| | | | - Rainer Görges
- Clinic for Nuclear Medicine, University Hospital Essen, Germany
| | - Michael Grunert
- Department of Nuclear Medicine, German Armed Forces Hospital Ulm, Germany
- Department of Nuclear Medicine, University Hospital Ulm, Germany
| | - Burkhard Klemenz
- Department of Nuclear Medicine, German Armed Forces Hospital Ulm, Germany
| | - Michael C Kreissl
- Division of Nuclear Medicine, Department of Radiology and Nuclear Medicine, University Hospital Magdeburg, Germany
- Research Campus STIMULATE, Otto-von-Guericke University, Magdeburg, Germany
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Kang YJ, Ahn HS, Stybayeva G, Lee JE, Hwang SH. Comparison of diagnostic performance of two ultrasound risk stratification systems for thyroid nodules: a systematic review and meta-analysis. LA RADIOLOGIA MEDICA 2023; 128:1407-1414. [PMID: 37665419 DOI: 10.1007/s11547-023-01709-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 08/22/2023] [Indexed: 09/05/2023]
Abstract
OBJECTIVES To assume the ideal cut-off values and diagnostic performance of two thyroid imaging reporting and data systems published by the Korean Thyroid Association/Korean Society of Thyroid Radiology (Korean TI-RADS) and the American Thyroid Association (ATA TI-RADS). METHODS Eighteen studies with 25,422 patients from PubMed, SCOPUS, Embase, Web of Science, and Cochrane Library databases up to August 2022. True and false positive and negative values with characteristics were extracted. RESULTS The highest area under the receiver operating characteristic curve (AUC) was 0.893 and 0.887 for Korean and ATA TI-RADS. High suspicion was judged as the best cut-off value with the highest AUC based on optimal sensitivity and specificity. In determining the risk of malignant thyroid nodules, high suspicion in Korean and ATA TI-RADS showed sensitivity as 71.3% and 73.5%, specificity as 7.9% and 86.4%, diagnostic odds ratios as 20.0289 and 20.9076, AUC as 0.893 and 0.887. There was no significant difference when directly comparing the diagnostic accuracy of both TI-RADS. CONCLUSION The two risk stratification systems had good diagnostic performance with high AUC and no significant differences. The ideal cut-off can depend on the medical condition or thyroid nodules, because the changes of cut-off point may reciprocally alter sensitivity and specificity.
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Affiliation(s)
- Yun Jin Kang
- Department of Otorhinolaryngology-Head and Neck Surgery, Soonchunhyang University College of Medicine, Cheonan, Korea
| | - Hee Sun Ahn
- Department of Otolaryngology-Head and Neck Surgery, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Gulnaz Stybayeva
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA
| | - Ju Eun Lee
- Department of Otolaryngology-Head and Neck Surgery, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 327 Sosa-ro, Bucheon-si, Gyeonggi-do, Seoul, 14647, Korea
| | - Se Hwan Hwang
- Department of Otolaryngology-Head and Neck Surgery, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, 327 Sosa-ro, Bucheon-si, Gyeonggi-do, Seoul, 14647, Korea.
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Fu C, Cui Y, Li J, Yu J, Wang Y, Si C, Cui K. Effect of the categorization method on the diagnostic performance of ultrasound risk stratification systems for thyroid nodules. Front Oncol 2023; 13:1073891. [PMID: 37182157 PMCID: PMC10167303 DOI: 10.3389/fonc.2023.1073891] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 04/13/2023] [Indexed: 05/16/2023] Open
Abstract
Objective To evaluate whether the categorization methods of risk stratification systems (RSSs) is a decisive factor that influenced the diagnostic performances and unnecessary FNA rates in order to choose optimal RSS for the management of thyroid nodules. Methods From July 2013 to January 2019, 2667 patients with 3944 thyroid nodules had undergone pathological diagnosis after thyroidectomy and/or US-guided FNA. US categories were assigned according to the six RSSs. The diagnostic performances and unnecessary FNA rates were calculated and compared according to the US-based final assessment categories and the unified size thresholds for biopsy proposed by ACR-TIRADS, respectively. Results A total of 1781 (45.2%) thyroid nodules were diagnosed as malignant after thyroidectomy or biopsy. Significantly lowest specificity and accuracy, along with the highest unnecessary FNA rates were seen in EU-TIRADS for both US categories (47.9%, 70.2%, and 39.4%, respectively, all P < 0.05) and indications for FNA (54.2%, 50.0%, and 55.4%, respectively, all P < 0.05). Diagnostic performances for US-based final assessment categories exhibited similar accuracy for AI-TIRADS, Kwak-TIRADS, C-TIRADS, and ATA guidelines (78.0%, 77.8%, 77.9%, and 76.3%, respectively, all P > 0.05), while the lowest unnecessary FNA rate was seen in C-TIRADS (30.9%) and without significant differences to that of AI-TIRADS, Kwak-TIRADS, and ATA guideline (31.5%, 31.7%, and 33.6%, respectively, all P > 0.05). Diagnostic performance for US-FNA indications showed similar accuracy for ACR-TIRADS, Kwak-TIRADS, C-TIRADS and ATA guidelines (58.0%, 59.7%, 58.7%, and 57.1%, respectively, all P > 0.05). The highest accuracy and lowest unnecessary FNA rate were seen in AI-TIRADS (61.9%, 38.6%) and without significant differences to that of Kwak-TIRADS(59.7%, 42.9%) and C-TIRADS 58.7%, 43.9%, all P > 0.05). Conclusion The different US categorization methods used by each RSS were not determinant influential factors in diagnostic performance and unnecessary FNA rate. For daily clinical practice, the score-based counting RSS was an optimal choice.
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Affiliation(s)
- Chao Fu
- Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yiyang Cui
- Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jing Li
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jing Yu
- Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yan Wang
- Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Caifeng Si
- Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Kefei Cui
- Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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Kim DH, Kim SW, Basurrah MA, Lee J, Hwang SH. Diagnostic Performance of Six Ultrasound Risk Stratification Systems for Thyroid Nodules: A Systematic Review and Network Meta-Analysis. AJR Am J Roentgenol 2023; 220:791-803. [PMID: 36752367 DOI: 10.2214/ajr.22.28556] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
BACKGROUND. Risk stratification systems for evaluating thyroid nodules on ultrasound use varying approaches to classify levels of suspicion for malignancy, leading to variable performance. OBJECTIVE. The purpose of this study was to perform a network meta-analysis comparing six risk stratification systems used to evaluate thyroid nodules on ultrasound in terms of their diagnostic performance for the detection of thyroid cancer. EVIDENCE ACQUISITION. Five bibliometric databases were searched for studies published through August 31, 2022, that compared at least two of six ultrasound risk stratification systems (the American Association of Clinical Endocrinologists, American College of Endocrinology, and Associazione Medici Endocrinologi [AACE/ACE/AME] system; American College of Radiology Thyroid Imaging Reporting and Data System [ACR TI-RADS]; the American Thyroid Association [ATA] risk stratification system; European Thyroid Association Thyroid Imaging Reporting and Data System [EU-TIRADS]; the Korean Thyroid Imaging Reporting and Data System [K-TIRADS] endorsed by the Korean Thyroid Association and the Korean Society of Thyroid Radiology; and the Thyroid Imaging Reporting and Data System developed by Kwak et al. [Kwak TIRADS]) in terms of their diagnostic performance for the detection of thyroid cancer, with cytologic or histologic evaluation used as a reference standard. The studies' risk of bias was evaluated using the Newcastle-Ottawa Scale. A meta-analysis of each system was performed to identify the risk category threshold that had the highest accuracy as well as the highest sensitivity and specificity at this threshold. Network meta-analysis was used to perform hierarchic ranking and identify the systems having the highest sensitivities and specificities at each system's most accurate threshold. EVIDENCE SYNTHESIS. The analysis included 39 studies with 49,661 patients. All studies were of fair (n = 17) or good (n = 22) quality. The most accurate risk category thresholds were class 3 (high risk) for the AACE/ACE/AME system, TR5 (highly suspicious) for ACR TI-RADS, EU-TIRADS 5 (high risk) for EU-TIRADS, 4c (moderate concern but not classic for malignancy) for Kwak TIRADS, K-TIRADS 5 (high suspicion) for K-TIRADS, and high suspicion for the ATA system. At these thresholds, the systems had sensitivity of 64-77% and specificity of 82-90%. Network meta-analysis identified the highest sensitivity and highest specificity for ACR TI-RADS, followed by K-TIRADS. CONCLUSION. Of six risk stratification systems, ACR TI-RADS had the highest diagnostic performance for the detection of thyroid nodules on ultrasound. CLINICAL IMPACT. This network meta-analysis can inform decisions regarding implementation of the risk stratification systems and can aid future system updates.
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Affiliation(s)
- Do Hyun Kim
- Department of Otolaryngology-Head and Neck Surgery, Seoul Saint Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Sung Won Kim
- Department of Otolaryngology-Head and Neck Surgery, Seoul Saint Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | | | - Jueun Lee
- Department of Otolaryngology-Head and Neck Surgery, Bucheon Saint Mary's Hospital, College of Medicine, The Catholic University of Korea, 327 Sosa-ro, Bucheon-si, Gyeonggi-do 14647, Korea
| | - Se Hwan Hwang
- Department of Otolaryngology-Head and Neck Surgery, Bucheon Saint Mary's Hospital, College of Medicine, The Catholic University of Korea, 327 Sosa-ro, Bucheon-si, Gyeonggi-do 14647, Korea
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Joo L, Lee MK, Lee JY, Ha EJ, Na DG. Diagnostic Performance of Ultrasound-Based Risk Stratification Systems for Thyroid Nodules: A Systematic Review and Meta-Analysis. Endocrinol Metab (Seoul) 2023; 38:117-128. [PMID: 36891658 PMCID: PMC10008666 DOI: 10.3803/enm.2023.1670] [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: 02/01/2023] [Accepted: 02/12/2023] [Indexed: 03/03/2023] Open
Abstract
BACKGRUOUND This study investigated the diagnostic performance of biopsy criteria in four society ultrasonography risk stratification systems (RSSs) for thyroid nodules, including the 2021 Korean (K)-Thyroid Imaging Reporting and Data System (TIRADS). METHODS The Ovid-MEDLINE, Embase, Cochrane, and KoreaMed databases were searched and a manual search was conducted to identify original articles investigating the diagnostic performance of biopsy criteria for thyroid nodules (≥1 cm) in four widely used society RSSs. RESULTS Eleven articles were included. The pooled sensitivity and specificity were 82% (95% confidence interval [CI], 74% to 87%) and 60% (95% CI, 52% to 67%) for the American College of Radiology (ACR)-TIRADS, 89% (95% CI, 85% to 93%) and 34% (95% CI, 26% to 42%) for the American Thyroid Association (ATA) system, 88% (95% CI, 81% to 92%) and 42% (95% CI, 22% to 67%) for the European (EU)-TIRADS, and 96% (95% CI, 94% to 97%) and 21% (95% CI, 17% to 25%) for the 2016 K-TIRADS. The sensitivity and specificity were 76% (95% CI, 74% to 79%) and 50% (95% CI, 49% to 52%) for the 2021 K-TIRADS1.5 (1.5-cm size cut-off for intermediate-suspicion nodules). The pooled unnecessary biopsy rates of the ACR-TIRADS, ATA system, EU-TIRADS, and 2016 K-TIRADS were 41% (95% CI, 32% to 49%), 65% (95% CI, 56% to 74%), 68% (95% CI, 60% to 75%), and 79% (95% CI, 74% to 83%), respectively. The unnecessary biopsy rate was 50% (95% CI, 47% to 53%) for the 2021 K-TIRADS1.5. CONCLUSION The unnecessary biopsy rate of the 2021 K-TIRADS1.5 was substantially lower than that of the 2016 K-TIRADS and comparable to that of the ACR-TIRADS. The 2021 K-TIRADS may help reduce potential harm due to unnecessary biopsies.
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Affiliation(s)
- Leehi Joo
- Department of Radiology, Korea University Guro Hospital, Seoul, Korea
| | - Min Kyoung Lee
- Department of Radiology, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea
- Corresponding author: Min Kyoung Lee Department of Radiology, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, 10 63-ro, Yeongdeungpo-gu, Seoul 07345, Korea Tel: +82-2-3779-2411, Fax: +82-2-783-5288, E-mail:
| | - Ji Ye Lee
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Eun Ju Ha
- Department of Radiology, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
| | - Dong Gyu Na
- Department of Radiology, Gangneung Asan Hospital, University of Ulsan College of Medicine, Gangneung, Korea
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Kim S, Shin JH, Ihn YK. Biopsy strategies for intermediate and high suspicion thyroid nodules with macrocalcifications. Curr Med Res Opin 2023; 39:179-186. [PMID: 36369696 DOI: 10.1080/03007995.2022.2146404] [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] [Indexed: 11/15/2022]
Abstract
OBJECTIVES (1) To find strategies to improve diagnostic performance of ultrasound-guided biopsy of intermediate and high suspicion thyroid nodules with macrocalcifications. (2) To find malignancy rates of nodules with macrocalcification. MATERIALS AND METHODS From 2018 to 2022, fine-needle aspiration biopsy (FNAB) and core needle biopsy (CNB) were retrospectively evaluated. Macrocalcifications were categorized into three types: intra-nodular, rim and entirely calcified. Diagnostic performance was compared between biopsy modes (FNAB vs. CNB) and FNAB techniques (to-and-fro vs. whirling). Multivariate logistic regression was performed to determine features associated with performance of FNAB. Malignancy rates were calculated according to macrocalcification types. RESULTS A total of 114 procedures (87 FNAB and 27 CNB) in 89 nodules per 86 patients (mean age, 64 years; 76 women) were performed. Overall, CNB performed better than FNAB (unsatisfactory rate: 3.7% vs. 33.3%, p = .005). For macrocalcification thicker than 2 mm, whirling FNAB technique demonstrated a comparable unsatisfactory rate with statistical trends toward significance (to-and-fro: 69.2% vs. whirling: 27.8%, p = .055). The entirely calcified nodule was associated with poor performance of FNAB (adjusted odds ratio 4.46 [95% CI: 1.19-16.67], p = .027). Overall malignancy was 22.5%, higher in intra-nodular macrocalcification than rim and entirely calcified types (68.4% vs. 21.1% vs. 10.5%, p = .025). CONCLUSION For the entirely calcified type, CNB should be considered first to improve diagnosis. For other types, FNAB can be performed, and whirling technique may be an alternative technique in thicker macrocalcification. Malignancy in intermediate and high suspicion nodules with macrocalcification have non-negligible rates.
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Affiliation(s)
- Sungmok Kim
- Department of Radiology, St. Vincent's Hospital, Suwon, Republic of Korea
| | - Jae Ho Shin
- Department of Radiology, St. Vincent's Hospital, Suwon, Republic of Korea
| | - Yon Kwon Ihn
- Department of Radiology, St. Vincent's Hospital, Suwon, Republic of Korea
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Kim JS, Kim BG, Stybayeva G, Hwang SH. Diagnostic Performance of Various Ultrasound Risk Stratification Systems for Benign and Malignant Thyroid Nodules: A Meta-Analysis. Cancers (Basel) 2023; 15:cancers15020424. [PMID: 36672373 PMCID: PMC9857194 DOI: 10.3390/cancers15020424] [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: 11/14/2022] [Revised: 12/31/2022] [Accepted: 01/04/2023] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND To evaluate the diagnostic performance of ultrasound risk-stratification systems for the discrimination of benign and malignant thyroid nodules and to determine the optimal cutoff values of individual risk-stratification systems. METHODS PubMed, Embase, SCOPUS, Web of Science, and Cochrane library databases were searched up to August 2022. Sensitivity and specificity data were collected along with the characteristics of each study related to ultrasound risk stratification systems. RESULTS Sixty-seven studies involving 76,512 thyroid nodules were included in this research. The sensitivity, specificity, diagnostic odds ratios, and area under the curves by K-TIRADS (4), ACR-TIRADS (TR5), ATA (high suspicion), EU-TIRADS (5), and Kwak-TIRADS (4b) for malignancy risk stratification of thyroid nodules were 92.5%, 63.5%, 69.8%, 70.6%, and 95.8%, respectively; 62.8%, 89.6%, 87.2%, 83.9%, and 63.8%, respectively; 20.7111, 16.8442, 15.7398, 12.2986, and 38.0578, respectively; and 0.792, 0.882, 0.859, 0.843, and 0.929, respectively. CONCLUSION All ultrasound-based risk-stratification systems had good diagnostic performance. Although this study determined the best cutoff values in individual risk-stratification systems based on statistical assessment, clinicians could adjust or alter cutoff values based on the clinical purpose of the ultrasound and the reciprocal changes in sensitivity and specificity.
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Affiliation(s)
- Ji-Sun Kim
- Department of Otolaryngology-Head and Neck Surgery, Eunpyeong St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Byung Guk Kim
- Department of Otolaryngology-Head and Neck Surgery, Eunpyeong St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Gulnaz Stybayeva
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN 55902, USA
| | - Se Hwan Hwang
- Department of Otolaryngology-Head and Neck Surgery, Bucheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
- Correspondence: ; Tel.: +82-32-340-7044
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Kim H, Shin JH, Kim KE, Kim MK, Oh J, Hahn SY. Subcategorization of intermediate suspicion thyroid nodules based on suspicious ultrasonographic findings. Ultrasonography 2023; 42:307-313. [PMID: 36935593 PMCID: PMC10071054 DOI: 10.14366/usg.22096] [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: 06/13/2022] [Accepted: 12/22/2022] [Indexed: 02/25/2023] Open
Abstract
PURPOSE This study compared the malignancy risk of intermediate suspicion thyroid nodules according to the presence of suspicious ultrasonographic (US) findings. METHODS From January 2014 to December 2014, 299 consecutive intermediate suspicion thyroid nodules in 281 patients (mean age, 50.6±12.5 years) with final diagnoses were included in this study. Two radiologists retrospectively reviewed the US findings and subcategorized the intermediate suspicion category into nodules without suspicious findings and nodules with suspicious findings, including punctate echogenic foci, nonparallel orientation, or irregular margins. The malignancy rates were compared between the two subcategory groups. RESULTS Of the 299 intermediate suspicion thyroid nodules, 230 (76.9%) were subcategorized as nodules without suspicious findings and 69 (23.1%) as nodules with suspicious findings. The total malignancy rate was 33.4% (100/299) and the malignancy rate of nodules with suspicious findings was significantly higher than that of nodules without suspicious findings (47.8% vs. 29.1%, P=0.004). In nodules with suspicious findings, the most common suspicious finding was punctate echogenic foci (48/82, 58.5%) followed by nonparallel orientation (22/82, 26.8%) and irregular margins (12/82, 14.6%). Thirteen nodules had two suspicious findings simultaneously. A linearly increasing trend in the malignancy rate was observed according to the number of suspicious US findings (P for trend=0.001). CONCLUSION Intermediate suspicion thyroid nodules with suspicious findings showed a higher malignancy rate than those without suspicious findings. Further management guidelines for nodules with suspicious findings should differ from guidelines for nodules without suspicious findings, even in the same US category.
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Affiliation(s)
- Haejung Kim
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jung Hee Shin
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Ka Eun Kim
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Myoung Kyoung Kim
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jiyun Oh
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Soo Yeon Hahn
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
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Na DG. [Clinical Application of the 2021 Korean Thyroid Imaging Reporting and Data System (K-TIRADS)]. JOURNAL OF THE KOREAN SOCIETY OF RADIOLOGY 2023; 84:92-109. [PMID: 36818707 PMCID: PMC9935946 DOI: 10.3348/jksr.2022.0158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 01/03/2022] [Indexed: 02/10/2023]
Abstract
In patients with thyroid nodules, ultrasonography (US) has been established as a primary diagnostic imaging method and is essential for treatment decision. The Korean Thyroid Imaging Reporting and Data System (K-TIRADS) is a pattern-based, US malignancy risk stratification system that can easily diagnose nodules during real-time ultrasound examinations. The 2021 K-TIRADS clarified the US criteria for nodule classification and revised the size thresholds for nodule biopsy, thereby reducing unnecessary biopsies for benign nodules while maintaining the appropriate sensitivity to detect malignant tumors in patients without feature of high risk thyroid cancer. Thyroid radiology practice has an important clinical role in the diagnosis and non-surgical treatment of patients with thyroid nodules, and should be performed according to standard practice guidelines for proper and effective clinical care.
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Affiliation(s)
- Dong Gyu Na
- Department of Radiology, Gangneung Asan Hospital, University of Ulsan College of Medicine, Gangneung, Korea
- Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Korea
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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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12
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Kim PH, Yoon HM, Baek JH, Chung SR, Choi YJ, Lee JH, Lee JS, Jung AY, Cho YA, Bak B, Na DG. Diagnostic Performance of Five Adult-based US Risk Stratification Systems in Pediatric Thyroid Nodules. Radiology 2022; 305:190-198. [PMID: 35787203 DOI: 10.1148/radiol.212762] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Background The validation of adult-based US risk stratification systems (RSSs) in the discrimination of malignant thyroid nodules in a pediatric population remains lacking. Purpose To estimate and compare the diagnostic performance of pediatric US RSSs based on five adult-based RSSs in the discrimination of malignant thyroid nodules in a pediatric sample. Materials and methods Pediatric patients (age ≤18 years) with histopathologically confirmed US-detected thyroid nodules at a tertiary referral hospital between January 2000 and April 2020 were analyzed retrospectively. The diagnostic performance of US-based fine-needle aspiration biopsy (FNAB) criteria in thyroid cancer detection was estimated. The following sensitivity analyses were performed: (a) scenario 1: nodules smaller than 1 cm, with the highest category additionally biopsied; (b) scenario 2, application of American College of Radiology Thyroid Imaging Reporting and Data System nodule size cutoffs to other RSSs; (c) scenario 3, scenarios 1 and 2 together. Generalized estimating equations (GEEs) were used for estimation. Results A total of 277 thyroid nodules in 221 pediatric patients (median age, 16 years [interquartile range {IQR}, 13-17]; 172 female; 152 of 277 patients [55%] malignant) were analyzed. The GEE-estimated sensitivity and specificity ranged from 70% to 78% (104 to 119 of 152 patients, based on each reader's interpretation) and from 42% to 78% (49 of 124 patients to 103 of 125 patients). In scenario 1, the missed malignancy rate was reduced from 32%-38% (41 of 134 patients to 34 of 83 patients) to 15%-21% (eight of 59 patients to 28 of 127 patients). In scenario 2, the unnecessary biopsy rate was reduced from 35%-39% (60 of 176 patients to 68 of 175 patients) to 20%-34% (18 of 109 patients to 62 of 179 patients). The highest accuracy was noted in scenario 3 (range, 71%-81%; 199 of 277 patients to 216 of 262 patients). Conclusion The diagnostic performances of the fine-needle aspiration biopsy criteria of five adult-based risk stratification systems were acceptable in the pediatric population and were improved by applying the American College of Radiology Thyroid Imaging Reporting and Data System size cutoff for nodules 1 cm or larger and allowing biopsy of the highest category nodules smaller than 1 cm. © RSNA, 2022 Online supplemental material is available for this article.
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Affiliation(s)
- Pyeong Hwa Kim
- From the Department of Radiology and Research Institute of Radiology (P.H.K., H.M.Y., J.H.B., S.R.C., Y.J.C., J.H.L., J.S.L., A.Y.J., Y.A.C.) and University of Ulsan Foundation for Industry Cooperation (B.B.), Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea; Department of Radiology, GangNeung Asan Hospital, Gangneung, Republic of Korea (D.G.N.); and Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Republic of Korea (D.G.N.)
| | - Hee Mang Yoon
- From the Department of Radiology and Research Institute of Radiology (P.H.K., H.M.Y., J.H.B., S.R.C., Y.J.C., J.H.L., J.S.L., A.Y.J., Y.A.C.) and University of Ulsan Foundation for Industry Cooperation (B.B.), Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea; Department of Radiology, GangNeung Asan Hospital, Gangneung, Republic of Korea (D.G.N.); and Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Republic of Korea (D.G.N.)
| | - Jung Hwan Baek
- From the Department of Radiology and Research Institute of Radiology (P.H.K., H.M.Y., J.H.B., S.R.C., Y.J.C., J.H.L., J.S.L., A.Y.J., Y.A.C.) and University of Ulsan Foundation for Industry Cooperation (B.B.), Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea; Department of Radiology, GangNeung Asan Hospital, Gangneung, Republic of Korea (D.G.N.); and Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Republic of Korea (D.G.N.)
| | - Sae Rom Chung
- From the Department of Radiology and Research Institute of Radiology (P.H.K., H.M.Y., J.H.B., S.R.C., Y.J.C., J.H.L., J.S.L., A.Y.J., Y.A.C.) and University of Ulsan Foundation for Industry Cooperation (B.B.), Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea; Department of Radiology, GangNeung Asan Hospital, Gangneung, Republic of Korea (D.G.N.); and Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Republic of Korea (D.G.N.)
| | - Young Jun Choi
- From the Department of Radiology and Research Institute of Radiology (P.H.K., H.M.Y., J.H.B., S.R.C., Y.J.C., J.H.L., J.S.L., A.Y.J., Y.A.C.) and University of Ulsan Foundation for Industry Cooperation (B.B.), Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea; Department of Radiology, GangNeung Asan Hospital, Gangneung, Republic of Korea (D.G.N.); and Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Republic of Korea (D.G.N.)
| | - Jeong Hyun Lee
- From the Department of Radiology and Research Institute of Radiology (P.H.K., H.M.Y., J.H.B., S.R.C., Y.J.C., J.H.L., J.S.L., A.Y.J., Y.A.C.) and University of Ulsan Foundation for Industry Cooperation (B.B.), Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea; Department of Radiology, GangNeung Asan Hospital, Gangneung, Republic of Korea (D.G.N.); and Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Republic of Korea (D.G.N.)
| | - Jin Seong Lee
- From the Department of Radiology and Research Institute of Radiology (P.H.K., H.M.Y., J.H.B., S.R.C., Y.J.C., J.H.L., J.S.L., A.Y.J., Y.A.C.) and University of Ulsan Foundation for Industry Cooperation (B.B.), Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea; Department of Radiology, GangNeung Asan Hospital, Gangneung, Republic of Korea (D.G.N.); and Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Republic of Korea (D.G.N.)
| | - Ah Young Jung
- From the Department of Radiology and Research Institute of Radiology (P.H.K., H.M.Y., J.H.B., S.R.C., Y.J.C., J.H.L., J.S.L., A.Y.J., Y.A.C.) and University of Ulsan Foundation for Industry Cooperation (B.B.), Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea; Department of Radiology, GangNeung Asan Hospital, Gangneung, Republic of Korea (D.G.N.); and Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Republic of Korea (D.G.N.)
| | - Young Ah Cho
- From the Department of Radiology and Research Institute of Radiology (P.H.K., H.M.Y., J.H.B., S.R.C., Y.J.C., J.H.L., J.S.L., A.Y.J., Y.A.C.) and University of Ulsan Foundation for Industry Cooperation (B.B.), Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea; Department of Radiology, GangNeung Asan Hospital, Gangneung, Republic of Korea (D.G.N.); and Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Republic of Korea (D.G.N.)
| | - Boram Bak
- From the Department of Radiology and Research Institute of Radiology (P.H.K., H.M.Y., J.H.B., S.R.C., Y.J.C., J.H.L., J.S.L., A.Y.J., Y.A.C.) and University of Ulsan Foundation for Industry Cooperation (B.B.), Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea; Department of Radiology, GangNeung Asan Hospital, Gangneung, Republic of Korea (D.G.N.); and Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Republic of Korea (D.G.N.)
| | - Dong Gyu Na
- From the Department of Radiology and Research Institute of Radiology (P.H.K., H.M.Y., J.H.B., S.R.C., Y.J.C., J.H.L., J.S.L., A.Y.J., Y.A.C.) and University of Ulsan Foundation for Industry Cooperation (B.B.), Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Republic of Korea; Department of Radiology, GangNeung Asan Hospital, Gangneung, Republic of Korea (D.G.N.); and Department of Radiology, Human Medical Imaging and Intervention Center, Seoul, Republic of Korea (D.G.N.)
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13
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Yang GE, Na DG. Impact of the ultrasonography assessment method on the malignancy risk and diagnostic performance of five risk stratification systems in thyroid nodules. Endocrine 2022; 75:137-148. [PMID: 34533767 DOI: 10.1007/s12020-021-02795-x] [Citation(s) in RCA: 2] [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] [Received: 03/11/2021] [Accepted: 06/07/2021] [Indexed: 01/25/2023]
Abstract
PURPOSE Ultrasonographic (US) assessment methods may affect the estimated malignancy risk of thyroid nodules. This study aimed to investigate the impact of retrospective and prospective US assessments on the estimated malignancy risk of US features, classified categories, and diagnostic performance of five risk stratification systems (RSSs) in thyroid nodules. METHODS A total of 3685 consecutive thyroid nodules (≥1 cm) with final diagnoses (retrospective dataset, n = 2180; prospective dataset, n = 1505) were included in this study. We compared the estimated malignancy risk of US features, classified categories, and diagnostic performances of the five common RSSs between retrospective (static US images without cine clips) and prospective datasets of real-time US assessment. RESULTS There was no significant difference in the prevalence and histological type of malignant tumours between the two datasets (p ≥ 0.216). The malignancy risk of solid composition and nonparallel orientation was higher and that of microcalcification was lower in the prospective dataset than in the retrospective dataset (p < 0.001, p = 0.018, p = 0.007, respectively). The retrospective US assessment showed slightly higher malignancy risk of intermediate- or high-risk nodules according to the RSSs. Prospective US assessment showed lower specificities and higher unnecessary biopsy rates by all RSSs compared to the retrospective US assessment (p ≤ 0.006, p ≤ 0.045, respectively). CONCLUSIONS The retrospective US assessment showed higher malignancy risk of microcalcification and some classified categories by RSSs, and overestimated the specificities and underestimated the unnecessary biopsy rates by all RSSs compared to prospective US assessment.
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Affiliation(s)
- Go Eun Yang
- Department of Radiology, School of medicine, Kangwon National University, Chuncheon, Republic of Korea
| | - Dong Gyu Na
- Department of Radiology, GangNeung Asan Hospital, University of Ulsan College of Medicine, Gangneung, Republic of Korea.
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14
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Ha EJ, Chung SR, Na DG, Ahn HS, Chung J, Lee JY, Park JS, Yoo RE, Baek JH, Baek SM, Cho SW, Choi YJ, Hahn SY, Jung SL, Kim JH, Kim SK, Kim SJ, Lee CY, Lee HK, Lee JH, Lee YH, Lim HK, Shin JH, Sim JS, Sung JY, Yoon JH, Choi M. 2021 Korean Thyroid Imaging Reporting and Data System and Imaging-Based Management of Thyroid Nodules: Korean Society of Thyroid Radiology Consensus Statement and Recommendations. Korean J Radiol 2021; 22:2094-2123. [PMID: 34719893 PMCID: PMC8628155 DOI: 10.3348/kjr.2021.0713] [Citation(s) in RCA: 101] [Impact Index Per Article: 33.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 09/10/2021] [Indexed: 11/15/2022] Open
Abstract
Incidental thyroid nodules are commonly detected on ultrasonography (US). This has contributed to the rapidly rising incidence of low-risk papillary thyroid carcinoma over the last 20 years. The appropriate diagnosis and management of these patients is based on the risk factors related to the patients as well as the thyroid nodules. The Korean Society of Thyroid Radiology (KSThR) published consensus recommendations for US-based management of thyroid nodules in 2011 and revised them in 2016. These guidelines have been used as the standard guidelines in Korea. However, recent advances in the diagnosis and management of thyroid nodules have necessitated the revision of the original recommendations. The task force of the KSThR has revised the Korean Thyroid Imaging Reporting and Data System and recommendations for US lexicon, biopsy criteria, US criteria of extrathyroidal extension, optimal thyroid computed tomography protocol, and US follow-up of thyroid nodules before and after biopsy. The biopsy criteria were revised to reduce unnecessary biopsies for benign nodules while maintaining an appropriate sensitivity for the detection of malignant tumors in small (1-2 cm) thyroid nodules. The goal of these recommendations is to provide the optimal scientific evidence and expert opinion consensus regarding US-based diagnosis and management of thyroid nodules.
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Affiliation(s)
- Eun Ju Ha
- Department of Radiology, Ajou University School of Medicine, Suwon, Korea
| | - Sae Rom Chung
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Dong Gyu Na
- Department of Radiology, GangNeung Asan Hospital, University of Ulsan College of Medicine, Gangneung, Korea.
| | - Hye Shin Ahn
- Department of Radiology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, Korea
| | - Jin Chung
- Department of Radiology, Ewha Womans University School of Medicine, Seoul, Korea
| | - Ji Ye Lee
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Jeong Seon Park
- Department of Radiology, Hanyang University College of Medicine, Hanyang University Hospital, Seoul, Korea
| | - Roh-Eul Yoo
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Jung Hwan Baek
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Sun Mi Baek
- Department of Radiology, Haeundae Sharing and Happiness Hospital, Busan, Korea
| | - Seong Whi Cho
- Department of Radiology, Kangwon National University Hospital, Chuncheon, Korea
| | - Yoon Jung Choi
- Department of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Soo Yeon Hahn
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - So Lyung Jung
- Department of Radiology, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Ji-Hoon Kim
- Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Seul Kee Kim
- Department of Radiology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea
| | - Soo Jin Kim
- Department of Radiology, New Korea Hospital, Gimpo, Korea
| | - Chang Yoon Lee
- Department of Radiology, Research Institute and Hospital, National Cancer Center, Goyang, Korea
| | - Ho Kyu Lee
- Department of Radiology, Jeju National University, Jeju, Korea
| | - Jeong Hyun Lee
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Young Hen Lee
- Department of Radiology, Ansan Hospital, Korea University College of Medicine, Ansan, Korea
| | - Hyun Kyung Lim
- Department of Radiology, Soonchunhyang University Seoul Hospital, Seoul, Korea
| | - Jung Hee Shin
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jung Suk Sim
- Department of Radiology, Withsim Clinic, Seongnam, Korea
| | - Jin Young Sung
- Department of Radiology and Thyroid Center, Daerim St. Mary's Hospital, Seoul, Korea
| | - Jung Hyun Yoon
- Department of Radiology, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, Korea
| | - Miyoung Choi
- Division for Healthcare Technology Assessment Research, National Evidence-based Healthcare Collaborating Agency, Seoul, Korea
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15
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Seminati D, Capitoli G, Leni D, Fior D, Vacirca F, Di Bella C, Galimberti S, L’Imperio V, Pagni F. Use of Diagnostic Criteria from ACR and EU-TIRADS Systems to Improve the Performance of Cytology in Thyroid Nodule Triage. Cancers (Basel) 2021; 13:cancers13215439. [PMID: 34771602 PMCID: PMC8582424 DOI: 10.3390/cancers13215439] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 10/25/2021] [Accepted: 10/26/2021] [Indexed: 12/29/2022] Open
Abstract
Simple Summary From a prospective series of 480 thyroid nodules, we compared the performances of the American College of Radiology (ACR) and the European Thyroid Association (EU) scoring systems in triaging thyroid nodules for fine-needle aspiration (FNA). FNA was recommended on 46.5% and 51.9% of the nodules using the ACR and EU-TIRADS scores, respectively. The ACR system demonstrated a higher specificity as compared to the EU-TIRADS (59.0% vs. 52.4%, p = 0.0012) in predicting ≥TIR3A/III (SIAPEC/Bethesda) nodules. Moreover, specific radiological features (i.e., echogenic foci and margins), combined with the cytological classes improved the specificity (97.5% vs. 91%, p < 0.0001) and positive predictive value (77.5% vs. 50.7%, p < 0.0001) of the cytology alone, maintaining an excellent sensitivity and negative predictive value. Abstract Objective: The American College of Radiology (ACR) and the European Thyroid Association (EU) have proposed two scoring systems for thyroid nodule classification. Here, we compared the ability of the two systems in triaging thyroid nodules for fine-needle aspiration (FNA) and tested the putative role of an approach that combines ultrasound features and cytology for the detection of malignant nodules. Design and Methods: The scores obtained with the ACR and EU Thyroid Imaging Reporting and Data Systems (TIRADS) from a prospective series of 480 thyroid nodules acquired from 435 subjects were compared to assess their performances in FNA triaging on the final cytological diagnosis. The US features that showed the highest contribution in discriminating benign nodules from malignancies were combined with cytology to improve its diagnostic performance. Results: FNA was recommended on 46.5% and 51.9% of the nodules using the ACR and EU-TIRADS scores, respectively. The ACR system demonstrated a higher specificity as compared to the EU-TIRADS (59.0% vs. 52.4%, p = 0.0012) in predicting ≥ TIR3A/III (SIAPEC/Bethesda) nodules. Moreover, specific radiological features (i.e., echogenic foci and margins), combined with the cytological classes improved the specificity (97.5% vs. 91%, p < 0.0001) and positive predictive values (77.5% vs. 50.7%, p < 0.0001) compared to cytology alone, especially in the setting of indeterminate nodules (TIR3A/III and TIR3B/IV), maintaining an excellent sensitivity and negative predictive value. Conclusions: The ACR-TIRADS system showed a higher specificity compared to the EU-TIRADS in triaging thyroid nodules. The use of specific radiological features improved the diagnostic ability of cytology.
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Affiliation(s)
- Davide Seminati
- Department of Medicine and Surgery, University of Milano-Bicocca, Pathology, 20900 Monza, Italy; (D.S.); (C.D.B.); (V.L.)
| | - Giulia Capitoli
- Bicocca Bioinformatics Biostatistics and Bioimaging B4 Center, School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy; (G.C.); (S.G.)
| | - Davide Leni
- Department of Radiology, ASST Monza, 20900 Monza, Italy; (D.L.); (D.F.); (F.V.)
| | - Davide Fior
- Department of Radiology, ASST Monza, 20900 Monza, Italy; (D.L.); (D.F.); (F.V.)
| | - Francesco Vacirca
- Department of Radiology, ASST Monza, 20900 Monza, Italy; (D.L.); (D.F.); (F.V.)
| | - Camillo Di Bella
- Department of Medicine and Surgery, University of Milano-Bicocca, Pathology, 20900 Monza, Italy; (D.S.); (C.D.B.); (V.L.)
| | - Stefania Galimberti
- Bicocca Bioinformatics Biostatistics and Bioimaging B4 Center, School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy; (G.C.); (S.G.)
| | - Vincenzo L’Imperio
- Department of Medicine and Surgery, University of Milano-Bicocca, Pathology, 20900 Monza, Italy; (D.S.); (C.D.B.); (V.L.)
| | - Fabio Pagni
- Department of Medicine and Surgery, University of Milano-Bicocca, Pathology, 20900 Monza, Italy; (D.S.); (C.D.B.); (V.L.)
- Correspondence:
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16
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Kim BH. Comparison of Thyroid Imaging Reporting and Data Systems in Malignancy Risk Stratification of Indeterminate Thyroid Nodules. Endocrinol Metab (Seoul) 2021; 36:974-976. [PMID: 34731933 PMCID: PMC8566117 DOI: 10.3803/enm.2021.1287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 10/12/2021] [Indexed: 11/14/2022] Open
Affiliation(s)
- Bo Hyun Kim
- Department of Internal Medicine, Pusan National University School of Medicine and Biomedical Research Institute, Busan, Korea
- Corresponding author: Bo Hyun Kim Department of Internal Medicine, Pusan National University School of Medicine and Biomedical Research Institute, 179 Gudeok-ro, Seo-gu, Busan 49241, Korea Tel: +82-51-240-7678, Fax: +82-51-254-3237, E-mail:
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17
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Ha EJ, Na DG, Baek JH. Korean Thyroid Imaging Reporting and Data System: Current Status, Challenges, and Future Perspectives. Korean J Radiol 2021; 22:1569-1578. [PMID: 34132081 PMCID: PMC8390814 DOI: 10.3348/kjr.2021.0106] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 04/28/2021] [Accepted: 05/02/2021] [Indexed: 12/18/2022] Open
Abstract
The Korean Thyroid Imaging Reporting and Data System (K-TIRADS) is an ultrasound-based risk stratification system for thyroid nodules that has been widely applied for the diagnosis and management of thyroid nodules since 2016. This review article provides an overview of the use of the K-TIRADS compared with other risk stratification systems. Moreover, this review describes the challenges in the clinical application of the K-TIRADS, as well as future development directions toward the personalized management of patients with thyroid nodules.
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Affiliation(s)
- Eun Ju Ha
- Department of Radiology, Ajou University School of Medicine, Suwon, Korea
| | - Dong Gyu Na
- Department of Radiology, GangNeung Asan Hospital, University of Ulsan College of Medicine, Gangneung, Korea.
| | - Jung Hwan Baek
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea
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18
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Chung SR, Ahn HS, Choi YJ, Lee JY, Yoo RE, Lee YJ, Kim JY, Sung JY, Kim JH, Baek JH. Diagnostic Performance of the Modified Korean Thyroid Imaging Reporting and Data System for Thyroid Malignancy: A Multicenter Validation Study. Korean J Radiol 2021; 22:1579-1586. [PMID: 34132082 PMCID: PMC8390813 DOI: 10.3348/kjr.2021.0230] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 04/20/2021] [Accepted: 04/21/2021] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVE To evaluate the diagnostic performance of the modified Korean Thyroid Imaging Reporting and Data System (K-TIRADS), and compare it with the 2016 version of K-TIRADS using the Thyroid Imaging Network of Korea. MATERIALS AND METHODS Between June and September 2015, 5708 thyroid nodules (≥ 1.0 cm) from 5081 consecutive patients who had undergone thyroid ultrasonography at 26 institutions were retrospectively evaluated. We used a biopsy size threshold of 2 cm for K-TIRADS 3 and 1 cm for K-TIRADS 4 (modified K-TIRADS 1) or 1.5 cm for K-TIRADS 4 (modified K-TIRADS 3). The modified K-TIRADS 2 subcategorized the K-TIRADS 4 into 4A and 4B, and the cutoff sizes for the biopsies were defined as 1 cm for K-TIRADS 4B and 1.5 cm for K-TIRADS 4A. The diagnostic performance and the rate of unnecessary biopsies of the modified K-TIRADS for detecting malignancy were compared with those of the 2016 K-TIRAD, which were stratified by nodule size (with a threshold of 2 cm). RESULTS A total of 1111 malignant nodules and 4597 benign nodules were included. The sensitivity, specificity, and unnecessary biopsy rate of the benign nodules were 94.9%, 24.4%, and 60.9% for the 2016 K-TIRADS; 91.0%, 39.7%, and 48.6% for the modified K-TIRADS 1; 84.9%, 45.9%, and 43.5% for the modified K-TIRADS 2; and 76.1%, 50.2%, and 40.1% for the modified K-TIRADS 3. For small nodules (1-2 cm), the diagnostic sensitivity of the modified K-TIRADS decreased by 5.2-25.6% and the rate of unnecessary biopsies reduced by 19.2-32.8% compared with those of the 2016 K-TIRADS (p < 0.001). For large nodules (> 2 cm), the modified K-TIRADSs maintained a very high sensitivity for detecting malignancy (98%). CONCLUSION The modified K-TIRADSs significantly reduced the rate of unnecessary biopsies for small (1-2 cm) nodules while maintaining a very high sensitivity for malignancy for large (> 2 cm) nodules.
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Affiliation(s)
- Sae Rom Chung
- Department of Radiology and Research Institute of Radiology, Asian Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Hye Shin Ahn
- Department of Radiology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, Korea.
| | - Young Jun Choi
- Department of Radiology and Research Institute of Radiology, Asian Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Ji Ye Lee
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
| | - Roh-Eul Yoo
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
| | - Yoo Jin Lee
- Department of Radiology, Busan Paik Hospital, Inje University College of Medicine, Busan, Korea
| | - Jee Young Kim
- Department of Radiology, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jin Yong Sung
- Department of Radiology, Thyroid Center, Daerim Saint Mary's Hospital, Seoul, Korea
| | - Ji-Hoon Kim
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
| | - Jung Hwan Baek
- Department of Radiology and Research Institute of Radiology, Asian Medical Center, University of Ulsan College of Medicine, Seoul, Korea
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Ha EJ, Shin JH, Na DG, Jung SL, Lee YH, Paik W, Hong MJ, Kim YK, Lee CY. Comparison of the diagnostic performance of the modified Korean Thyroid Imaging Reporting and Data System for thyroid malignancy with three international guidelines. Ultrasonography 2021; 40:594-601. [PMID: 34044490 PMCID: PMC8446501 DOI: 10.14366/usg.21056] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 04/05/2021] [Indexed: 11/30/2022] Open
Abstract
Purpose This study compared the diagnostic performance of the modified Korean Thyroid Imaging Reporting and Data System (K-TIRADS) for thyroid malignancy with three international guidelines. Methods From June to September 2015, 5,708 thyroid nodules (≥1.0 cm) in 5,081 consecutive patients who underwent thyroid ultrasound (US) at 26 institutions were evaluated. The US features of the thyroid nodules were retrospectively reviewed and classified according to all four guidelines. In the modified K-TIRADS, the biopsy size threshold was changed to 2.0 cm for K-TIRADS 3 and 1.0 or 1.5 cm for K-TIRADS 4 (K-TIRADS1.0cm and K-TIRADS1.5cm, respectively). We compared the diagnostic performance and unnecessary fine-needle aspiration biopsy (FNAB) rates for thyroid malignancy between the modified K-TIRADS and three international guidelines. Results Of the 5,708 thyroid nodules, 4,597 (80.5%) were benign and 1,111 (19.5%) were malignant. The overall sensitivity was highest for the modified K-TIRADS1.0cm (91.0%), followed by the European (EU)-TIRADS (84.6%), American Association of Clinical Endocrinologists/American College of Endocrinology/Associazione Medici Endocrinologi (AACE/ACE/AME) (80.5%), American College of Radiology (ACR)-TIRADS (76.1%), and modified K-TIRADS1.5cm (76.1%). For large nodules (>2.0 cm), the sensitivity increased to 98.0% in both the modified K-TIRADS1.0cm and K-TIRADS1.5cm. For small nodules (≤2.0 cm), the unnecessary FNAB rate was lowest with the modified K-TIRADS1.5cm (17.6%), followed by the ACR-TIRADS (18.6%), AACE/ACE/AME (19.3%), EU-TIRADS (28.1%), and modified K-TIRADS1.0cm (31.2%). Conclusion The modified K-TIRADS1.5cm can reduce the unnecessary FNAB rate for small nodules (1.0-2.0 cm), while maintaining high sensitivity for detecting malignancies >2.0 cm.
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Affiliation(s)
- Eun Ju Ha
- Department of Radiology, Ajou University School of Medicine, Suwon, Korea
| | - Jung Hee Shin
- Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Dong Gyu Na
- Department of Radiology, GangNeung Asan Hospital, University of Ulsan College of Medicine, Gangneung, Korea
| | - So Lyung Jung
- Department of Radiology, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Young Hen Lee
- Department of Radiology, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea
| | - Wooyul Paik
- Department of Radiology, GangNeung Asan Hospital, University of Ulsan College of Medicine, Gangneung, Korea
| | - Min Ji Hong
- Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Yeo Koon Kim
- Department of Radiology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Chang Yoon Lee
- Department of Radiology, Research Institute and Hospital, National Cancer Center, Goyang, Korea
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