Comparison of Different Ultrasound Classification Systems of Thyroid Nodules for Identifying Malignant Potential: A Cross-sectional Study
| Autor: | Jianming Song, Yanna Liu, Hua Chen, Jun Ye, Weihua Chen, Yuguang You |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Thyroid nodules
medicine.medical_specialty Medicine (General) Cross-sectional study Biopsy Fine-Needle 030204 cardiovascular system & hematology Thyroid Cancer Risk category 03 medical and health sciences 0302 clinical medicine R5-920 Biopsy Medicine Humans 030212 general & internal medicine Thyroid Neoplasms Thyroid Nodule Ultrasound Examinations Thyroid cancer Ultrasonography medicine.diagnostic_test business.industry Ultrasound Nodule (medicine) General Medicine medicine.disease American Association of Clinical Endocrinologists United States Cross-Sectional Studies Cytopathology American Thyroid Association Original Article Radiology American College of Radiology Thyroid Imaging Reporting and Data System medicine.symptom business |
| Zdroj: | Clinics, Vol 76 (2021) Clinics, Volume: 76, Article number: e2126, Published: 20 JAN 2021 Clinics; v. 76 (2021); e2126 Clinics; Vol. 76 (2021); e2126 Clinics Universidade de São Paulo (USP) instacron:USP |
| ISSN: | 1980-5322 1807-5932 |
| Popis: | Objective In our organization, it has been necessary in our organization to calculate the risk categories according to the American Thyroid Association (ATA), the American Association of Clinical Endocrinologists/American College of Endocrinology/Associazione Medici Endocrinologi (AACE/ACE/AME), and the American College of Radiology Thyroid Imaging Reporting and Data System (ACR TIRADS) classification systems for each patient, from the year 2019; these are also required to be registered in the database. This creates a barrier to medical collaboration in everyday radiological practice because using multiple rating systems can be confusing for both readers and patients. For the change in routine practice, this study aimed to compare diagnostic parameters of the ATA, AACE/ACE/AME, and ACR TIRADS classification systems for the detection of suspicious thyroid nodule(s) considering the results of fine-needle aspiration cytopathology as the reference standard. Methods Data on ultrasound characteristics (2,000 nodules) and fine-needle aspiration cytopathology (39 nodules) were included in the analysis. The decision making of fine-needle aspiration biopsies was evaluated from the ultrasound characteristics as per the ATA, AACE/ACE/AME, and ACR TIRADS classification systems. Results The ATA, AACE/ACE/AME, and ACR TIRADS recommended 26, 32, and 37 nodules for fine-needle aspiration biopsies, respectively. Considering the results of fine-needle aspiration cytopathology as the reference standard, the ATA, AACE/ACE/AME, and ACR TIRADS classification systems had 0.993, 0.996, and 0.998 sensitivity, respectively. The accuracies were 0.641, 0.795, and 0.923, respectively. Conclusion The ACR TIRADS classification system is less invasive and can identify suspicious nodules more accurately than that of ATA and AACE/ACE/AME. |
| Databáze: | OpenAIRE |
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