Diagnostic Value of Six Thyroid Imaging Reporting and Data Systems (TIRADS) in Cytologically Equivocal Thyroid Nodules

被引:25
|
作者
Slowinska-Klencka, Dorota [1 ]
Wysocka-Konieczna, Kamila [1 ]
Klencki, Mariusz [1 ]
Popowicz, Bozena [1 ]
机构
[1] Med Univ Lodz, Dept Morphometry Endocrine Glands, Pomorska Str 251, PL-92213 Lodz, Poland
关键词
TIRADS; FNA; thyroid ultrasonography; thyroid cancer; UNDETERMINED SIGNIFICANCE/FOLLICULAR LESION; RISK-STRATIFICATION; MALIGNANCY RISK; SIGNIFICANCE AUS/FLUS; FOLLICULAR CARCINOMA; ULTRASOUND FEATURES; BETHESDA SYSTEM; ATYPIA; IODINE;
D O I
10.3390/jcm9072281
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
The aim was to compare the usefulness of selected thyroid sonographic risk-stratification systems in the diagnostics of nodules with indeterminate/suspicious cytology or unequivocal cytology in a population with a history of iodine deficiency. The diagnostic efficacy of ACR-TIRADS (the American College of Radiology Thyroid Imaging Reporting and Data Systems), EU-TIRADS (European Thyroid Association TIRADS), Korean-TIRADS, Kwak-TIRADS, AACE/ACE-AME-guidelines (American Association of Clinical Endocrinologists/ American College of Endocrinology-Associazione Medici Endocrinologi guidelines) and ATA-guidelines (American Thyroid Association guidelines) was evaluated in 1000 nodules with determined histopathological diagnosis: 329 FLUS/AUS (10.6% cancers), 167 SFN/SHT (11.6% cancers), 44 SM (77.3% cancers), 298 BL (benign lesions), 162 MN (malignant neoplasms). The percentage of PTC (papillary thyroid carcinoma) among cancers was higher in Bethesda MN (86.4%) and SM (suspicion of malignancy) nodules (91.2%) than in FLUS/AUS (57.1%,p< 0.005) and SFN/SHT (suspicion of follicular neoplasm/ suspicion of Hurthle cell tumor) nodules (36.8%,p< 0.001). TIRADS efficacy was higher for MN (AUC: 0.827-0.874) and SM nodules (AUC: 0.775-0.851) than for FLUS/AUS (AUC: 0.655-0.701) or SFN/SHT nodules (AUC: 0.593-0.621). FLUS/AUS (follicular lesion of undetermined significance/ atypia of undetermined significance) nodules assigned to a high risk TIRADS category had malignancy risk of 25%. In the SFN/SHT subgroup none TIRADS category changed nodule's malignancy risk. EU-TIRADS and AACE/ACE-AME-guidelines would allow diagnosing the highest number of PTC, FTC (follicular thyroid carcinoma), HTC (Hurthle cell carcinoma), MTC (medullary thyroid carcinoma). The highest OR value was for Kwak-TIRADS (12.6) and Korean-TIRADS (12.0). Conclusions: TIRADS efficacy depends on the incidence of PTC among cancers. All evaluated TIRADS facilitate the selection of FLUS/AUS nodules for the surgical treatment but these systems are not efficient in the management of SFN/SHT nodules.
引用
收藏
页码:1 / 16
页数:17
相关论文
共 50 条
  • [21] Comparison of the Diagnostic Performance of Ultrasound-Based Thyroid Imaging Reporting and Data System (TIRADS) Classification with American Thyroid Association (ATA) Guidelines in the Prediction of Thyroid Malignancy in a Single Tertiary Center in Manila, Philippines
    Gacayan, Ryan James
    Kasala, Ruben
    Puno-Ramos, Ma Patricia
    Mojica, Dondee
    Castro, Ma Krisha
    JOURNAL OF THE ASEAN FEDERATION OF ENDOCRINE SOCIETIES, 2021, 36 (01): : 69 - 75
  • [22] Thyroid imaging reporting and data system (TIRADS) for ultrasound features of nodules: multicentric retrospective study in China
    Zhou, JianQiao
    Song, YanYan
    Zhan, WeiWei
    Wei, Xi
    Zhang, Sheng
    Zhang, RuiFang
    Gu, Ying
    Chen, Xia
    Shi, Liying
    Luo, XiaoMao
    Yang, LiChun
    Li, QiaoYing
    Bai, BaoYan
    Ye, XinHua
    Zhai, Hong
    Zhang, Hua
    Jia, XiaoHong
    Dong, YiJie
    Zhang, JingWen
    Yang, ZhiFang
    Zhang, HuiTing
    Zheng, Yi
    Xu, WenWen
    Lai, LiMei
    Yin, LiXue
    ENDOCRINE, 2021, 72 (01) : 157 - 170
  • [23] The Value of Ultrasonography Using Thyroid Imaging Reporting and Data Systems (TIRADS) in the Diagnosis of Thyroid Cancer Among the Population of Ha'il, Saudi Arabia
    Elaggan, Ashraf
    Mostafa, Amr
    Albdair, Raghad
    Almarshedi, Rema
    Aljohani, Anas
    Alshammari, Zaid
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2022, 14 (07)
  • [25] Thyroid Ultrasound Reporting Lexicon: White Paper of the ACR Thyroid Imaging, Reporting and Data System (TIRADS) Committee
    Grant, Edward G.
    Tessler, Franklin N.
    Hoang, Jenny K.
    Langer, Jill E.
    Beland, Michael D.
    Berland, Lincoln L.
    Cronan, John J.
    Desser, Terry S.
    Frates, Mary C.
    Hamper, Ulrike M.
    Middleton, William D.
    Reading, Carl C.
    Scoutt, Leslie M.
    Stavros, A. Thomas
    Teefey, Sharlene A.
    JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY, 2015, 12 (12) : 1272 - 1279
  • [26] The Usefulness of the Thyroid Imaging Reporting and Data System in Determining Thyroid Malignancy
    Xie, Michael
    Gupta, Michael K.
    Archibald, Stuart D.
    Jackson, B. Stanley
    Massey Young, James Edward
    Zhang, Han
    LARYNGOSCOPE, 2020, 130 (08) : 2087 - 2091
  • [27] Use of the Thyroid Imaging Reporting and Data System (TIRADS) in clinical practice: an Italian survey
    Mauri, Giovanni
    Gitto, Salvatore
    Cantisani, Vito
    Vallone, Gianfranco
    Schiavone, Cosima
    Papini, Enrico
    Sconfienza, Luca Maria
    ENDOCRINE, 2020, 68 (02) : 329 - 335
  • [28] Agreement Between American and European Thyroid Imaging, Reporting, and Data System (TIRADS) in the Diagnosis of 473 Thyroid Nodules From a Single Center in Brazil
    da Silva, Pompeia Freire
    Arcoverde, Luciana Correa de Araujo
    Barbosa Arcoverde, Leonardo de Siqueira
    Lima, Gilberto Tenorio Wanderley Fernandes
    Lima, Tulio Paes de Medeiros
    do Amaral, Fernando Jose
    Bandeira, Francisco
    ENDOCRINE PRACTICE, 2021, 27 (11) : 1108 - 1113
  • [29] Thyroid imaging reporting and data system in assessment of cytological Bethesda Category III thyroid nodules
    Mao, Feng
    Xu, Hui-Xiong
    Zhao, Chong-Ke
    Bo, Xiao-Wan
    Li, Xiao-Long
    Li, Dan-Dan
    Liu, Bo-Ji
    Zhang, Yi-Feng
    Xu, Jun-Mei
    Qu, Shen
    CLINICAL HEMORHEOLOGY AND MICROCIRCULATION, 2017, 65 (02) : 163 - 173