Prospective validation of an ultrasound-based thyroid imaging reporting and data system (TI-RADS) on 3980 thyroid nodules

被引:0
|
作者
Zhang, Jing [1 ,2 ]
Liu, Bo-Ji [1 ,2 ]
Xu, Hui-Xiong [1 ,2 ,3 ]
Xu, Jun-Mei [1 ,2 ]
Zhang, Yi-Feng [1 ,2 ]
Liu, Chang [1 ,2 ]
Wu, Jian [1 ,2 ]
Sun, Li-Ping [1 ,2 ]
Guo, Le-Hang [1 ,2 ]
Liu, Lin-Na [1 ,2 ]
Xu, Xiao-Hong [3 ]
Qu, Shen [2 ,4 ]
机构
[1] Tongji Univ, Sch Med, Shanghai Peoples Hosp 10, Dept Med Ultrasound, Shanghai 200072, Peoples R China
[2] Tongji Univ, Sch Med, Thyroid Inst, Shanghai 200072, Peoples R China
[3] Guangdong Med Coll, Affiliated Hosp, Dept Ultrasound, Zhanjiang, Peoples R China
[4] Tongji Univ, Sch Med, Shanghai Peoples Hosp 10, Dept Endocrinol & Metab, Shanghai 200072, Peoples R China
基金
中国国家自然科学基金;
关键词
Thyroid imaging reporting and data system (TI-RADS); thyroid nodule; ultrasound; diagnosis; LYMPH-NODE DISSECTION; CENTRAL NECK DISSECTION; FINE-NEEDLE-ASPIRATION; SONOGRAPHIC CRITERIA; MALIGNANCY; MANAGEMENT; RISK; INCIDENTALOMAS; PREDICTION; FEATURES;
D O I
暂无
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Objective: Ultrasound (US) features of solidity, hypoechogenicity or marked hypoechogenicity, microlobulated or irregular margins, microcalcifications, and taller-than-wide shape are suspicious characteristics for thyroid nodules. An US based Thyroid Imaging Reporting and Data System (TI-RADS) is classified based on the number of aforesaid features. TI-RADS category 3 included nodules without any suspicious features, and categories 4a, 4b, 4c, and 5 included nodules with one, two, three or four, or five suspicious US features. The purpose of the study was to prospectively validate the effectiveness of the TI-RADS. Methods: From October 2011 to June 2013, we prospectively categorized 3980 thyroid nodules (3752 benign and 228 malignant lesions) in 2921 patients using TI-RADS classification. TI-RADS categories 2 and 3 were considered as benign whereas TI-RADS categories 4 and 5 as malignant. The sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV) and accuracy were calculated. Results: Of the 3980 nodules, 2953 nodules were TI-RADS category 2 (0% malignancy), 466 nodules TI-RADS category 3 (1.3% malignancy), 186 nodules TI-RADS category 4a (4.8% malignancy), 165 nodules TI-RADS category 4b (30.3% malignancy), 188 nodules TI-RADS category 4c (75.5% malignancy), and 22 nodules TI-RADS category 5 (95.5% malignancy). The sensitivity, specificity, PPV, NPV and accuracy were 97%, 90%, 40%, 99%, and 91%, respectively. Conclusions: TI-RADS classification had great diagnostic value in diagnosing thyroid nodules. The actual probability of malignancy was in accord with the theory risk of malignancy.
引用
收藏
页码:5911 / 5917
页数:7
相关论文
共 50 条
  • [21] Ultrasound of Thyroid Nodules and the Thyroid Imaging Reporting and Data System
    Malhi, Harshawn S.
    Grant, Edward G.
    NEUROIMAGING CLINICS OF NORTH AMERICA, 2021, 31 (03) : 285 - 300
  • [22] Diagnostic reliability of the Thyroid Imaging Reporting and Data System (TI-RADS) in routine practice
    Jabar, Allen San Shell
    Koteshwara, Prakashini
    Andrade, Jasbon
    POLISH JOURNAL OF RADIOLOGY, 2019, 84 : E274 - E280
  • [23] Use of an Easily Applicable Thyroid Imaging-Reporting and Data System (TI-RADS): Our Kwak TI-RADS Experience
    Corapli, Mahmut
    Pehlivanoglu, Burcin
    Alakus, Huseyin
    Bulut, Haci Taner
    IRANIAN JOURNAL OF RADIOLOGY, 2021, 18 (04)
  • [24] Combing superb microvascular imaging with shear wave elastography for risk stratification of Thyroid Imaging Reporting and Data System (TI-RADS) 4 thyroid nodules
    Chen, Qiyang
    Hu, Minxia
    Bao, Feifan
    Zhao, Hanxue
    GLAND SURGERY, 2024, 13 (07) : 1188 - 1200
  • [25] Prospective validation of the ultrasound based TIRADS (Thyroid Imaging Reporting And Data System) classification: results in surgically resected thyroid nodules
    Horvath, Eleonora
    Silva, Claudio F.
    Majlis, Sergio
    Rodriguez, Ignacio
    Skoknic, Velimir
    Castro, Alex
    Rojas, Hugo
    Niedmann, Juan-Pablo
    Madrid, Arturo
    Capdeville, Felipe
    Whittle, Carolina
    Rossi, Ricardo
    Dominguez, Miguel
    Tala, Hernan
    EUROPEAN RADIOLOGY, 2017, 27 (06) : 2619 - 2628
  • [26] Prospective validation of the ultrasound based TIRADS (Thyroid Imaging Reporting And Data System) classification: results in surgically resected thyroid nodules
    Eleonora Horvath
    Claudio F. Silva
    Sergio Majlis
    Ignacio Rodriguez
    Velimir Skoknic
    Alex Castro
    Hugo Rojas
    Juan-Pablo Niedmann
    Arturo Madrid
    Felipe Capdeville
    Carolina Whittle
    Ricardo Rossi
    Miguel Domínguez
    Hernán Tala
    European Radiology, 2017, 27 : 2619 - 2628
  • [27] Correlation of Thyroid Molecular Alterations with 2017 ACR Thyroid Imaging Reporting and Data System (TI-RADS) Scoring
    Sun, Wei
    Yee, Joseph
    Shi, Yan
    Yee-Chang, Melissa
    Wei, Xiao-Jun
    Simsir, Aylin
    Cangiarella, Joan
    Brandler, Tamar
    LABORATORY INVESTIGATION, 2019, 99
  • [28] Correlation of Thyroid Molecular Alterations with 2017 ACR Thyroid Imaging Reporting and Data System (TI-RADS) Scoring
    Sun, Wei
    Yee, Joseph
    Shi, Yan
    Yee-Chang, Melissa
    Wei, Xiao-Jun
    Simsir, Aylin
    Cangiarella, Joan
    Brandler, Tamar
    MODERN PATHOLOGY, 2019, 32
  • [29] Diagnostic performance of thyroid imaging reporting and data system (TI-RADS) alone and in combination with contrast-enhanced ultrasonography for the characterization of thyroid nodules
    Zhao, Huaqun
    Liu, Xueling
    Lei, Bei
    Cheng, Ping
    Li, Jian
    Wu, Yedong
    Ma, Zhen
    Wei, Fang
    Su, Hongyue
    CLINICAL HEMORHEOLOGY AND MICROCIRCULATION, 2019, 72 (01) : 95 - 106
  • [30] Reliability of Thyroid Imaging Reporting and Data System (TI-RADS), and ultrasonographic classification of the American Thyroid Association (ATA) in differentiating benign from malignant thyroid nodules
    de Macedo, Bruno Mussoi
    Izquierdo, Rogerio F.
    Golbert, Lenara
    Souza Meyer, Erika L.
    ARCHIVES OF ENDOCRINOLOGY METABOLISM, 2018, 62 (02): : 131 - 138