| Literature DB >> 35584446 |
Raissa Kitaguchi Sakajiri1, Antonio Rahal Junior2, Miguel José Francisco Neto2, Marcos Roberto Gomes de Queiroz2, Rodrigo Gobbo Garcia2, Leandro Aurélio Liporoni Martins2, Domingos Augusto Cherino Malerbi2.
Abstract
OBJECTIVE: To determine whether the size of thyroid nodules in ACR-TIRADS ultrasound categories 3 and 4 is correlated with the Bethesda cytopathology classification.Entities:
Mesh:
Year: 2022 PMID: 35584446 PMCID: PMC9094606 DOI: 10.31744/einstein_journal/2022AO6747
Source DB: PubMed Journal: Einstein (Sao Paulo) ISSN: 1679-4508
Figure 1ACR-TR diagnostic matrix for ultrasound classification of thyroid nodules from 2017 White Paper of the ACR TI-RADS Committee
Nodules ACR-TIRADS 3 in each Bethesda classification
| Bethesda | ACR-TIRADS 3 | ||
|---|---|---|---|
| <1.5cm n=149 (%) | 1.5-2.4cm n=103 (%) | ≥2.5cm n=43 (%) | |
| 1 | 4 (2.7) | 1 (1.0) | 0 |
| 2 | 135 (90.6) | 92 (89.3) | 41 (95.4) |
| 3 | 8 (5.4) | 10 (9.7) | 1 (2.3) |
| 4 | 0 | 0 | 0 |
| 5 | 0 | 0 | 0 |
| 6 | 2 (1.3) | 0 | 1 (2.3) |
| Fisher’s exact test | p=0.347 | ||
Results expressed as n (%).
Nodules ACR-TIRADS 4 in each Bethesda classification
| Bethesda | ACR-TIRADS 4 | ||
|---|---|---|---|
| <1cm n=106 (%) | 1-1.4cm n=81 (%) | ≥1.5cm n=84 (%) | |
| 1 | 8 (7.6) | 0 | 2 (2.4) |
| 2 | 72 (67.9) | 53 (65.4) | 61 (72.6) |
| 3 | 9 (8.5) | 13 (16.1) | 8 (9.5) |
| 4 | 3 (2.8) | 3 (3.7) | 0 |
| 5 | 0 | 0 | 0 |
| 6 | 14 (13.2) | 12 (14.8) | 13 (15.5) |
| Fisher’s exact test | p=0.087 | ||
Results expressed as n (%).
Figure 2Size distribution of ACR-TR 3 nodules per Bethesda category
Figure 3Size distribution of ACR-TR 4 nodules per Bethesda category