Malignancy Risk of Thyroid Nodules That Are Not Classifiable by the American Thyroid Association Ultrasound Risk Stratification System: A Systematic Review and Meta-Analysis

被引:4
|
作者
Kwon, Daniel [1 ]
Kulich, Marta [1 ]
Mack, Wendy J. [2 ]
Monedero, Rodrigo Martinez [1 ]
Joyo, Eri [3 ]
Angell, Trevor E. [3 ]
机构
[1] Univ Southern Calif, Dept Otolaryngol Head & Neck Surg, Keck Med, Los Angeles, CA 90033 USA
[2] Univ Southern Calif, Populat & Publ Hlth Sci, Keck Med, Los Angeles, CA 90033 USA
[3] Univ Southern Calif, Div Endocrinol & Diabet, Keck Med, 2020 Zonal Ave,IRD620, Los Angeles, CA 90033 USA
基金
美国国家卫生研究院;
关键词
thyroid neoplasms; papillary thyroid cancer; ultrasound; thyroid nodule; risk stratification; DIAGNOSTIC PERFORMANCE; TI-RADS; GUIDELINES; TIRADS;
D O I
10.1089/thy.2022.0672
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Sonographic evaluation is fundamental to thyroid nodule assessment. The American Thyroid Association (ATA) ultrasound risk stratification system (USRSS) is widely used, but the appearance of some nodules has been considered nonclassifiable (NC-ATA). The risk of malignancy (RoM) of NC-ATA nodules varies widely between studies, leading to uncertainty in clinical management. The aim of this study was to comprehensively evaluate the prevalence and malignancy risk of NC-ATA nodules.Methods: A systematic review was performed searching PubMed/MEDLINE and EMBASE to identify original studies of thyroid nodules classified using the ATA USRSS from 2016 to 2022 and reporting the outcome of NC-ATA nodules. Meta-analysis was conducted to obtain pooled RoM estimates and meta-regression sensitivity analyses were used to explore sources of between-study heterogeneity.Results: Of 6377 screened studies, 135 underwent full-text review, and 16 studies reporting 21,271 nodules were included. Within these, the pooled prevalence of NC-ATA nodules was 7.8% (1872 nodules; [confidence interval; CI 5.1-11.1]). The pooled RoM estimate for NC-ATA nodules was 20.3% [CI 13.0-28.7] and there was significant heterogeneity between studies (I-2 = 92.8%, p < 0.001). NC-ATA nodule RoM estimates were significantly different by study type: single-center versus multicenter studies (24.8% vs. 12.3%, respectively, p = 0.031) and study design: retrospective versus prospective studies (25.1% vs. 8.5%, respectively, p = 0.003). No significant difference was observed in RoM based on inclusion of Conclusion: In this first meta-analysis comprehensively assessing the RoM of NC-ATA nodules, the malignancy risk was found to be comparable with the current ATA USRSS intermediate suspicion category. Significant heterogeneity was observed between studies and limits the interpretation of these results. In future iterations of the ATA USRSS that seek into incorporate categorization of NC-ATA nodules, these meta-analysis data may help to inform proper malignancy risk stratification. The study protocol was registered on PROSPERO, the international prospective register of systematic reviews (CRD42020182498), on July 14, 2020.
引用
收藏
页码:593 / 602
页数:10
相关论文
共 50 条
  • [31] Ultrasound Classification of Thyroid Nodules: A Systematic Review
    Mistry, Rakesh
    Hillyar, Christopher
    Nibber, Anjan
    Sooriyamoorthy, Thushanth
    Kumar, Nirmal
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2020, 12 (03)
  • [32] Ultrasound malignancy risk stratification of thyroid nodules based on the degree of hypoechogenicity and echotexture
    Lee, Ji Ye
    Na, Dong Gyu
    Yoon, So Jin
    Gwon, Hye Yun
    Paik, Wooyul
    Kim, Taeeun
    Kim, Jin Yub
    EUROPEAN RADIOLOGY, 2020, 30 (03) : 1653 - 1663
  • [33] Solitary and multiple thyroid nodules as predictors of malignancy: a systematic review and meta-analysis
    Aqeeb Ur Rehman
    Muhammad Ehsan
    Haseeba Javed
    Muhammad Zain Ameer
    Aleenah Mohsin
    Muhammad Aemaz Ur Rehman
    Ahmad Nawaz
    Zunaira Amjad
    Fatima Ameer
    Thyroid Research, 15
  • [34] Shear Wave Elastography and Thyroid Imaging Reporting and Data System (TIRADS) for the Risk Stratification of Thyroid Nodules-Results of a Prospective Study
    Petersen, Manuela
    Schenke, Simone A.
    Firla, Jonas
    Croner, Roland S.
    Kreissl, Michael C.
    DIAGNOSTICS, 2022, 12 (01)
  • [35] Impact of the ultrasonography assessment method on the malignancy risk and diagnostic performance of five risk stratification systems in thyroid nodules
    Yang, Go Eun
    Na, Dong Gyu
    ENDOCRINE, 2022, 75 (01) : 137 - 148
  • [36] A Multidisciplinary Head-to-Head Comparison of American College of Radiology Thyroid Imaging and Reporting Data System and American Thyroid Association Ultrasound Risk Stratification Systems
    Huang, Bernice L.
    Ebner, Susana A.
    Makkar, Jasnit S.
    Bentley-Hibbert, Stuart
    McConnell, Robert J.
    Lee, James A.
    Hecht, Elizabeth M.
    Kuo, Jennifer H.
    ONCOLOGIST, 2020, 25 (05) : 398 - 403
  • [37] Malignancy risk of thyroid nodules: quality assessment of the thyroid ultrasound report
    Luís Raposo
    Cláudia Freitas
    Raquel Martins
    Catarina Saraiva
    Isabel Manita
    Maria João Oliveira
    Ana Paula Marques
    Bernardo Marques
    Gustavo Rocha
    Teresa Martins
    Teresa Azevedo
    Fernando Rodrigues
    BMC Medical Imaging, 22
  • [38] Establishment of an Ultrasound Malignancy Risk Stratification Model for Thyroid Nodules Larger Than 4 cm
    Xi, Xuehua
    Wang, Ying
    Gao, Luying
    Jiang, Yuxin
    Liang, Zhiyong
    Ren, Xinyu
    Gao, Qing
    Lai, Xingjian
    Yang, Xiao
    Zhu, Shenling
    Zhao, Ruina
    Zhang, Xiaoyan
    Zhang, Bo
    FRONTIERS IN ONCOLOGY, 2021, 11
  • [39] Shear wave elastography combined with the thyroid imaging reporting and data system for malignancy risk stratification in thyroid nodules
    Liu, Zhao
    Jing, Hui
    Han, Xue
    Shao, Hua
    Sun, Yi-xin
    Wang, Qiu-cheng
    Cheng, Wen
    ONCOTARGET, 2017, 8 (26) : 43406 - 43416
  • [40] Systematic Review and Meta-Analysis of American College of Radiology TI-RADS Inter-Reader Reliability for Risk Stratification of Thyroid Nodules
    Li, Wei
    Sun, Yuan
    Xu, Haibing
    Shang, Wenwen
    Dong, Anding
    FRONTIERS IN ONCOLOGY, 2022, 12