Risk for malignancy of thyroid nodules: Comparative study between TIRADS and US based classification system

被引:6
|
作者
Ashamallah, Germeen Albair [1 ]
EL-Adalany, Mohamed Ali [1 ]
机构
[1] Mansoura Univ, Dept Diagnost Radiol, Fac Med, Mansoura, Egypt
来源
关键词
Ultrasound; Thyroid; Tumor; Malignant; Benign; TIRADS;
D O I
10.1016/j.ejrnm.2016.08.021
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: To compare between TIRADS and thyroid ultrasound classification system proposed by Kim and his colleagues. Methods and materials: Prospective analysis of ultrasound and power Duplex images of 450 patients with thyroid gland disease was conducted. The thyroid lesions were categorized into 5 groups: TIRADS 1, Normal thyroid gland; TIRADS 2, benign in aspects; TIRADS 3, probably benign aspects; TIRADS 4A, low suspicious aspects; TIRADS 4B & TIRADS 5, high suspicious aspects. Next, the detected nodules in 350 patients were divided into solid and partially cystic nodules and rated according to Kim et al., classification. The final diagnosis was done by biopsy (n = 370) and clinical follow-up (n = 80). Statistical analysis in comparison with cytopathological findings was calculated. Results: The odds ratio (OR) was 7 for TIRADS 5, 2 for TIRADS 4B, 0.67 for TIRADS 4A, 0.2 for TIRADS 3 and 0.01 for TIRADS 1 & 2. The PPV of malignancy rises gradually from 0% for TIRADS 1 & 2 to 6.7% for TIRADS 3 & 4A to 20% for TIRADS 4B and reaches 67% for TIRADS 5. TIRADS 5 showed 100% sensitivity, 86% specificity and 89% accuracy. Conclusion: TIRADS classification is reliable, easier and simpler than other classification system for reporting. It has higher sensitivity for prediction of thyroid malignancy. (C) 2016 The Egyptian Society of Radiology and Nuclear Medicine. Production and hosting by Elsevier.
引用
收藏
页码:1373 / 1384
页数:12
相关论文
共 50 条
  • [1] Evaluating Malignancy in Pediatric Thyroid Nodules: The Effectiveness of the Bethesda System and TIRADS
    Gazek, Natalia
    Mozo, Melissa Suarez
    Mattone, Maria Celeste
    Olivares, Jesus Santana
    Ciaccio, Marta
    Dujovne, Noelia
    HORMONE RESEARCH IN PAEDIATRICS, 2024, 97 : 205 - 205
  • [2] Validating and Comparing C-TIRADS, K-TIRADS and ACR-TIRADS in Stratifying the Malignancy Risk of Thyroid Nodules
    Chen, Qingfang
    Lin, Mingnan
    Wu, Size
    FRONTIERS IN ENDOCRINOLOGY, 2022, 13
  • [3] Comparison of the C-TIRADS, ACR-TIRADS, and ATA guidelines in malignancy risk stratification of thyroid nodules
    Cai, Yifeng
    Yang, Ruixuan
    Yang, Shuhui
    Lu, Laishun
    Ma, Rui
    Xiao, Zidong
    Lin, Nie
    Huang, Yuhan
    Chen, Liwen
    QUANTITATIVE IMAGING IN MEDICINE AND SURGERY, 2023, 13 (07) : 4514 - 4525
  • [4] The association between the ultrasonography TIRADS classification system and surgical pathology among indeterminate thyroid nodules
    Sahli, Zeyad T.
    Karipineni, Farah
    Hang, Jen-Fan
    Canner, Joseph K.
    Mathur, Aarti
    Prescott, Jason D.
    Sheth, Sheila
    Ali, Syed Z.
    Zeiger, Martha A.
    SURGERY, 2019, 165 (01) : 69 - 74
  • [5] Non-Marked Hypoechogenic Nodules: Multicenter Study on the Thyroid Malignancy Risk Stratification and Accuracy Based on TIRADS Systems Comparison
    Prieditis, Peteris
    Radzina, Maija
    Mikijanska, Madara
    Liepa, Mara
    Stepanovs, Kaspars
    Grani, Giorgio
    Durante, Cosimo
    Lamartina, Livia
    Trimboli, Pierpaolo
    Cantisani, Vito
    MEDICINA-LITHUANIA, 2022, 58 (02):
  • [6] Comparative Study of C-TIRADS, ACR-TIRADS, and EU-TIRADS for Diagnosis and Management of Thyroid Nodules
    Jin, Zhe
    Pei, Shufang
    Shen, Hui
    Ouyang, Lizhu
    Zhang, Lu
    Mo, Xiaokai
    Chen, Qiuying
    You, Jingjing
    Zhang, Shuixing
    Zhang, Bin
    ACADEMIC RADIOLOGY, 2023, 30 (10) : 2181 - 2191
  • [7] Malignancy risk stratification and subcategorization of K-TIRADS intermediate suspicion thyroid nodules: a retrospective multicenter study
    Lee, Boeun
    Na, Dong Gyu
    Kim, Ji-hoon
    ULTRASONOGRAPHY, 2024, 43 (02) : 132 - 140
  • [8] Retrospective Evaluation of Ultrasound Features of Thyroid Nodules to Assess Malignancy Risk: A Step Toward TIRADS
    Zayadeen, Adnan R.
    Abu-Yousef, Monzer
    Berbaum, Kevin
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2016, 207 (03) : 460 - 469
  • [9] Thyroid nodule ultrasound accuracy in predicting thyroid malignancy based on TIRADS system
    Nie, Wanlu
    Zhu, Lili
    Yan, Ping
    Sun, Jie
    ADVANCES IN CLINICAL AND EXPERIMENTAL MEDICINE, 2022, 31 (06): : 597 - 606
  • [10] European Thyroid Association Guidelines for Ultrasound Malignancy Risk Stratification of Thyroid Nodules in Adults: The EU-TIRADS
    Russ, Gilles
    Bonnema, Steen J.
    Erdogan, Murat Faik
    Durante, Cosimo
    Ngu, Rose
    Leenhardt, Laurence
    EUROPEAN THYROID JOURNAL, 2017, 6 (05) : 225 - 237