Risk Stratification of Thyroid Nodules: From Ultrasound Features to TIRADS
Abstract
:Simple Summary
Abstract
1. Introduction
2. Real-Time US Findings of Thyroid Nodules
3. Accessory Features
4. Color Doppler Flow Imaging (CDFI), Power Doppler US, and Superb Micro-Vascular Imaging (SMI)
5. US Elastosonography (USE)
6. US Risk Stratification Systems: The TIRADS
7. Indication for FNA According to US Risk Stratification Systems
8. Conclusions
Funding
Conflicts of Interest
Abbreviations
US | ultrasonography |
FNA | fine-needle aspiration |
US-FNA | ultrasound–guided fine-needle aspiration |
USE | elastosonography |
MEN-2 | multiple endocrine neoplasia Type 2 |
TIRADS | thyroid imaging reporting and data systems |
ATA | American Thyroid Association |
ETA | European Thyroid Association |
K-TIRADS | Korean Society of Thyroid Radiology |
EE | extrathyroidal extension |
AACE-AME | American Association of Clinical Endocrinologists, American College of Endocrinology, and Associazione Medici Endocrinologi Medical |
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US Features Associated with Malignancy | Low Specificity/High Reproducibility | Hypoechogenicity Thick Halo | Score Value 1 |
---|---|---|---|
High specificity/poor reproducibility | Microcalcifications irregular, disrupted, spiculated or lobulated margins, high stiffness at USE | Score Value 2 | |
High specificity/high reproducibility | Marked hypoechogenicity irregular shape, taller-than-wide | Score Value 3 | |
Very high specificity/high reproducibility/Accessory features | Extracapsular extension, suspicious lymph nodes | Score Value 4 | |
Risk category | 1. Low risk | Nodules with at least 2 US features associated with benignity * and no features associated with malignancy | |
2. Intermediate risk | Nodules with total risk score 1–3 | ||
3. High risk | Nodules with total risk score ≥4 |
French [77] 2013 | ATA [1] 2016 | ACE/ACE-AME [2] 2016 | Korean [20] 2021 | ETA [79] 2018 | ||||||
---|---|---|---|---|---|---|---|---|---|---|
Risk Category | M.R. (%) | FNA Size (cm) | M.R. (%) | FNA Size (cm) | M.R. (%) | FNA Size (cm) | M.R. (%) | FNA Size (cm) | M.R. (%) | FNA Size (cm) |
High | 100 | ≥1 | 70–90 | >1 | 50–90 | ≥1 | >60 | >1–1.5 | 26–87 | >10 |
Intermediate | 69 | ≥1 | 10–20 | ≥1 | 5–15 | >2 | 15–40 | >2 | 6–17 | >15 |
Low | 6 | ≥1.5 | 5–10 | ≥1.5 | 1 | ≥2 | 3–10 | ≥1.5 | 2–4 | >20 |
Very low | 0.25 | ≥2 | ≥3 | >2 | <3 | |||||
Benign | 0 | NA | <1 | NA | NA | 0 | NA | |||
No Nodule |
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Rago, T.; Vitti, P. Risk Stratification of Thyroid Nodules: From Ultrasound Features to TIRADS. Cancers 2022, 14, 717. https://doi.org/10.3390/cancers14030717
Rago T, Vitti P. Risk Stratification of Thyroid Nodules: From Ultrasound Features to TIRADS. Cancers. 2022; 14(3):717. https://doi.org/10.3390/cancers14030717
Chicago/Turabian StyleRago, Teresa, and Paolo Vitti. 2022. "Risk Stratification of Thyroid Nodules: From Ultrasound Features to TIRADS" Cancers 14, no. 3: 717. https://doi.org/10.3390/cancers14030717
APA StyleRago, T., & Vitti, P. (2022). Risk Stratification of Thyroid Nodules: From Ultrasound Features to TIRADS. Cancers, 14(3), 717. https://doi.org/10.3390/cancers14030717