| Literature DB >> 31929775 |
Ibrahim Abobaker Al-Ghanimi1, Abdulaziz Mohammad Al-Sharydah1, Saqar Al-Mulhim2, Sarah Faisal1, Abdulrahman Al-Abdulwahab1, Mohammed Al-Aftan1, Abdulrahman Abuhaimed2.
Abstract
BACKGROUND: Classifying thyroid lesions is challenging; nonetheless, using ultrasonography may allow for accurate diagnosis, differentiation and management of thyroid lesions and help avoid unnecessary biopsy.Entities:
Keywords: Cytology; diagnostic accuracy; fine-needle aspiration; thyroid gland; thyroid nodule; ultrasonography
Year: 2019 PMID: 31929775 PMCID: PMC6945311 DOI: 10.4103/sjmms.sjmms_126_18
Source DB: PubMed Journal: Saudi J Med Med Sci ISSN: 2321-4856
Specificity of ultrasound in classifying benign and malignant tumor compared with fine-needle aspiration
| Type of tumor | FNAC finding | US finding | Specificity of US (95% CI) |
|---|---|---|---|
| Benign | 59 | 56 | 94.9 (85.9–98.9) |
| Malignant | 6 | 9 | 100.00 (54.07–100.00) |
FNAC – Fine-needle aspiration cytology; US – Ultrasonography; CI – Confidence interval
Figure 1(a) Grayscale ultrasound image of the right thyroid lobe showing a well-defined, predominately iso- to low-echogenic lesion with distal acoustic enhancement. (b) The contour of the lesion is regular and no vascularity is visible on color Doppler imaging. These features are consistent with a benign thyroid nodule. Fine-needle aspiration interpretation revealed few polymorphs and occasional macrophages, negative for malignant cells
Figure 3(a) Grayscale ultrasound image of the right thyroid lobe showing a well-defined echogenic lesion with distal acoustic enhancement. (b) The contour of the lesion is regular with a peripheral anechoic halo and shows hypervascularity on Doppler imaging. These features are consistent with a malignant thyroid lesion. Fine-needle aspiration interpretation revealed Bethesda category (6) consistent with papillary thyroid carcinoma
Cancer risk in thyroid nodules with regard to calcification, margins, vascularity and echogenicity, as per the Society of Radiologists in Ultrasound criteria
| Parameter | Type of tumor and method | Characteristics | ||
|---|---|---|---|---|
| Macrocalcification | Microcalcification | |||
| Calcification | Benign | 56 | 3 | 0.001 |
| Cytology (%) | 96.6 | 30.0 | ||
| US (%) | 94.9 | 5.1 | ||
| Suspicious | 2 | 7 | ||
| Cytology (%) | 3.4 | 70.0 | ||
| US (%) | 22.2 | 77.8 | ||
| Margins | Benign | 55 | 4 | 0.031 |
| Cytology (%) | 93.2 | 44.4 | ||
| US (%) | 93.2 | 6.8 | ||
| Suspicious | 4 | 5 | ||
| Cytology (%) | 6.8 | 55.6 | ||
| US (%) | 44.4 | 55.6 | ||
| Vascularity | Benign | 41 | 18 | 0.058 |
| Cytology (%) | 93.2 | 75.0 | ||
| US (%) | 69.5 | 30.5 | ||
| Suspicious | 3 | 6 | ||
| Cytology (%) | 6.8 | 25.0 | ||
| US (%) | 33.3 | 66.7 | ||
| Echogenicity | Benign | 55 | 4 | 0.001 |
| Cytology (%) | 93.2 | 44.4 | ||
| US (%) | 93.2 | 6.8 | ||
| Suspicious | 4 | 5 | ||
| Cytology (%) | 6.8 | 55.6 | ||
| US (%) | 44.4 | 55.6 | ||
The cytology percentages are calculated vertically. US – Ultrasonography